diff --git a/webui/native/dist/index.html b/webui/native/dist/index.html
index b09b7037..15232120 100644
--- a/webui/native/dist/index.html
+++ b/webui/native/dist/index.html
@@ -13,15 +13,15 @@
     <div style="display: contents">
 			<script>
 				{
-					__sveltekit_1effenk = {
+					__sveltekit_1so0o7x = {
 						base: ""
 					};
 
 					const element = document.currentScript.parentElement;
 
-					this.__sveltekit_1effenk=this.__sveltekit_1effenk||{};this.__sveltekit_1effenk.app=(function(ua){"use strict";var oi=typeof document<"u"?document.currentScript:null;const md=!1;var gr=Array.isArray,Ff=Array.prototype.indexOf,fa=Array.prototype.includes,ma=Array.from,pd=Object.defineProperty,xn=Object.getOwnPropertyDescriptor,_d=Object.getOwnPropertyDescriptors,jf=Object.prototype,zf=Array.prototype,hr=Object.getPrototypeOf,gd=Object.isExtensible;const pa=()=>{};function Uf(t){return t()}function vr(t){for(var i=0;i<t.length;i++)t[i]()}function hd(){var t,i,o=new Promise((n,s)=>{t=n,i=s});return{promise:o,resolve:t,reject:i}}function Mf(t,i){if(Array.isArray(t))return t;if(!(Symbol.iterator in t))return Array.from(t);const o=[];for(const n of t)if(o.push(n),o.length===i)break;return o}const rt=2,$n=4,ms=8,vd=1<<24,bi=16,ni=32,Zi=64,yr=128,si=512,Ye=1024,et=2048,ai=4096,zt=8192,Wt=16384,Po=32768,br=1<<25,xo=65536,_a=1<<17,yd=1<<18,Sn=1<<19,bd=1<<20,Vi=1<<25,Lo=65536,ga=1<<21,Gn=1<<22,$o=1<<23,Yi=Symbol("$state"),kd=Symbol("legacy props"),Af=Symbol(""),wd=Symbol("attributes"),kr=Symbol("class"),wr=Symbol("style"),xr=Symbol("text"),ps=Symbol("form reset"),_s=new class extends Error{name="StaleReactionError";message="The reaction that called `getAbortSignal()` was re-run or destroyed"},xd=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml"),gs=3,Tn=8;function $d(t){throw new Error("https://svelte.dev/e/lifecycle_outside_component")}function Cf(){throw new Error("https://svelte.dev/e/async_derived_orphan")}function Rf(t,i,o){throw new Error("https://svelte.dev/e/each_key_duplicate")}function Ef(t){throw new Error("https://svelte.dev/e/effect_in_teardown")}function Bf(){throw new Error("https://svelte.dev/e/effect_in_unowned_derived")}function Df(t){throw new Error("https://svelte.dev/e/effect_orphan")}function Vf(){throw new Error("https://svelte.dev/e/effect_update_depth_exceeded")}function If(){throw new Error("https://svelte.dev/e/hydration_failed")}function Pf(t){throw new Error("https://svelte.dev/e/props_invalid_value")}function Lf(){throw new Error("https://svelte.dev/e/state_descriptors_fixed")}function Of(){throw new Error("https://svelte.dev/e/state_prototype_fixed")}function Nf(){throw new Error("https://svelte.dev/e/state_unsafe_mutation")}function Hf(){throw new Error("https://svelte.dev/e/svelte_boundary_reset_onerror")}const Qf=1,Jf=2,Sd=4,Wf=8,Kf=16,Xf=1,Zf=2,Yf=4,em=8,tm=16,im=1,om=2,$r="[",Sr="[!",Gd="[?",Gr="]",qn={},ot=Symbol("uninitialized"),nm="http://www.w3.org/1999/xhtml";function sm(){console.warn("https://svelte.dev/e/derived_inert")}function ha(t){console.warn("https://svelte.dev/e/hydration_mismatch")}function am(){console.warn("https://svelte.dev/e/select_multiple_invalid_value")}function rm(){console.warn("https://svelte.dev/e/svelte_boundary_reset_noop")}let ae=!1;function Kt(t){ae=t}let he;function lt(t){if(t===null)throw ha(),qn;return he=t}function hs(){return lt(ri(he))}function _(t){if(ae){if(ri(he)!==null)throw ha(),qn;he=t}}function va(t=1){if(ae){for(var i=t,o=he;i--;)o=ri(o);he=o}}function vs(t=!0){for(var i=0,o=he;;){if(o.nodeType===Tn){var n=o.data;if(n===Gr){if(i===0)return o;i-=1}else(n===$r||n===Sr||n[0]==="["&&!isNaN(Number(n.slice(1))))&&(i+=1)}var s=ri(o);t&&o.remove(),o=s}}function Tr(t){if(!t||t.nodeType!==Tn)throw ha(),qn;return t.data}function Td(t){return t===this.v}function qd(t,i){return t!=t?i==i:t!==i||t!==null&&typeof t=="object"||typeof t=="function"}function Fd(t){return!qd(t,this.v)}let Fn=!1,lm=!1;function dm(){Fn=!0}let Me=null;function jn(t){Me=t}function ya(t,i=!1,o){Me={p:Me,i:!1,c:null,e:null,s:t,x:null,r:de,l:Fn&&!i?{s:null,u:null,$:[]}:null}}function ba(t){var i=Me,o=i.e;if(o!==null){i.e=null;for(var n of o)ec(n)}return i.i=!0,Me=i.p,{}}function ys(){return!Fn||Me!==null&&Me.l===null}let Oo=[];function jd(){var t=Oo;Oo=[],vr(t)}function Ii(t){if(Oo.length===0&&!ks){var i=Oo;queueMicrotask(()=>{i===Oo&&jd()})}Oo.push(t)}function cm(){for(;Oo.length>0;)jd()}function zd(t){var i=de;if(i===null)return ve.f|=$o,t;if((i.f&Po)===0&&(i.f&$n)===0)throw t;So(t,i)}function So(t,i){if(!(i!==null&&(i.f&Wt)!==0)){for(;i!==null;){if((i.f&yr)!==0){if((i.f&Po)===0)throw t;try{i.b.error(t);return}catch(o){t=o}}i=i.parent}throw t}}const um=-7169;function Ie(t,i){t.f=t.f&um|i}function qr(t){(t.f&si)!==0||t.deps===null?Ie(t,Ye):Ie(t,ai)}function Ud(t){if(t!==null)for(const i of t)(i.f&rt)===0||(i.f&Lo)===0||(i.f^=Lo,Ud(i.deps))}function Md(t,i,o){(t.f&et)!==0?i.add(t):(t.f&ai)!==0&&o.add(t),Ud(t.deps),Ie(t,Ye)}const zn=[];function Fr(t,i=pa){let o=null;const n=new Set;function s(d){if(qd(t,d)&&(t=d,o)){const m=!zn.length;for(const h of n)h[1](),zn.push(h,t);if(m){for(let h=0;h<zn.length;h+=2)zn[h][0](zn[h+1]);zn.length=0}}}function a(d){s(d(t))}function l(d,m=pa){const h=[d,m];return n.add(h),n.size===1&&(o=i(s,a)||pa),d(t),()=>{n.delete(h),n.size===0&&o&&(o(),o=null)}}return{set:s,update:a,subscribe:l}}let ka=!1;function fm(t){var i=ka;try{return ka=!1,[t(),ka]}finally{ka=i}}function No(t){ae&&no(t)!==null&&Vr(t)}let Ad=!1;function Cd(){Ad||(Ad=!0,document.addEventListener("reset",t=>{Promise.resolve().then(()=>{if(!t.defaultPrevented)for(const i of t.target.elements)i[ps]?.()})},{capture:!0}))}function Un(t){var i=ve,o=de;li(null),di(null);try{return t()}finally{li(i),di(o)}}function jr(t,i,o,n=o){t.addEventListener(i,()=>Un(o));const s=t[ps];s?t[ps]=()=>{s(),n(!0)}:t[ps]=()=>n(!0),Cd()}function mm(t){let i=0,o=Qo(0),n;return()=>{Ir()&&(e(o),Bn(()=>(i===0&&(n=p(()=>t(()=>ws(o)))),i+=1,()=>{Ii(()=>{i-=1,i===0&&(n?.(),n=void 0,ws(o))})})))}}var pm=xo|Sn;function _m(t,i,o,n){new gm(t,i,o,n)}class gm{parent;is_pending=!1;transform_error;#e;#t=ae?he:null;#i;#l;#n;#s=null;#o=null;#r=null;#a=null;#_=0;#d=0;#c=!1;#f=new Set;#g=new Set;#u=null;#v=mm(()=>(this.#u=Qo(this.#_),()=>{this.#u=null}));constructor(i,o,n,s){this.#e=i,this.#i=o,this.#l=a=>{var l=de;l.b=this,l.f|=yr,n(a)},this.parent=de.b,this.transform_error=s??this.parent?.transform_error??(a=>a),this.#n=Dn(()=>{if(ae){const a=this.#t;hs();const l=a.data===Sr;if(a.data.startsWith(Gd)){const m=JSON.parse(a.data.slice(Gd.length));this.#y(m)}else l?this.#w():this.#h()}else this.#m()},pm),ae&&(this.#e=he)}#h(){try{this.#s=Xt(()=>this.#l(this.#e))}catch(i){this.error(i)}}#y(i){const o=this.#i.failed,{reset:n,invoke_onerror:s}=this.#b(i);Ii(s),o&&(this.#r=Xt(()=>{o(this.#e,()=>i,()=>n)}))}#b(i){var o=!1,n=!1;const s=()=>{if(o){rm();return}o=!0,n&&Hf(),this.#r!==null&&Jo(this.#r,()=>{this.#r=null}),this.#p(()=>{this.#m()})};return{reset:s,invoke_onerror:()=>{try{n=!0,this.#i.onerror?.(i,s),n=!1}catch(l){So(l,this.#n&&this.#n.parent)}}}}#w(){const i=this.#i.pending;i&&(this.is_pending=!0,this.#o=Xt(()=>i(this.#e)),Ii(()=>{var o=this.#a=document.createDocumentFragment(),n=Ut();o.append(n),this.#s=this.#p(()=>Xt(()=>this.#l(n))),this.#d===0&&(this.#e.before(o),this.#a=null,Jo(this.#o,()=>{this.#o=null}),this.#k(re))}))}#m(){try{if(this.is_pending=this.has_pending_snippet(),this.#d=0,this.#_=0,this.#s=Xt(()=>{this.#l(this.#e)}),this.#d>0){var i=this.#a=document.createDocumentFragment();Nr(this.#s,i);const o=this.#i.pending;this.#o=Xt(()=>o(this.#e))}else this.#k(re)}catch(o){this.error(o)}}#k(i){this.is_pending=!1,i.transfer_effects(this.#f,this.#g)}defer_effect(i){Md(i,this.#f,this.#g)}is_rendered(){return!this.is_pending&&(!this.parent||this.parent.is_rendered())}has_pending_snippet(){return!!this.#i.pending}#p(i){var o=de,n=ve,s=Me;di(this.#n),li(this.#n),jn(this.#n.ctx);try{return to.ensure(),i()}catch(a){return zd(a),null}finally{di(o),li(n),jn(s)}}#x(i,o){if(!this.has_pending_snippet()){this.parent&&this.parent.#x(i,o);return}this.#d+=i,this.#d===0&&(this.#k(o),this.#o&&Jo(this.#o,()=>{this.#o=null}),this.#a&&(this.#e.before(this.#a),this.#a=null))}update_pending_count(i,o){this.#x(i,o),this.#_+=i,!(!this.#u||this.#c)&&(this.#c=!0,Ii(()=>{this.#c=!1,this.#u&&Rn(this.#u,this.#_)}))}get_effect_pending(){return this.#v(),e(this.#u)}error(i){if(!this.#i.onerror&&!this.#i.failed)throw i;re?.is_fork?(this.#s&&re.skip_effect(this.#s),this.#o&&re.skip_effect(this.#o),this.#r&&re.skip_effect(this.#r),re.oncommit(()=>{this.#$(i)})):this.#$(i)}#$(i){this.#s&&(Vt(this.#s),this.#s=null),this.#o&&(Vt(this.#o),this.#o=null),this.#r&&(Vt(this.#r),this.#r=null),ae&&(lt(this.#t),va(),lt(vs()));let o=this.#i.failed;const n=s=>{const{reset:a,invoke_onerror:l}=this.#b(s);l(),o&&(this.#r=this.#p(()=>{try{return Xt(()=>{var d=de;d.b=this,d.f|=yr,o(this.#e,()=>s,()=>a)})}catch(d){return So(d,this.#n.parent),null}}))};Ii(()=>{var s;try{s=this.transform_error(i)}catch(a){So(a,this.#n&&this.#n.parent);return}s!==null&&typeof s=="object"&&typeof s.then=="function"?s.then(n,a=>So(a,this.#n&&this.#n.parent)):n(s)})}}function hm(t,i,o,n){const s=ys()?Mn:eo;var a=t.filter(G=>!G.settled),l=i.map(s);if(o.length===0&&a.length===0){n(l);return}var d=de,m=vm(),h=a.length===1?a[0].promise:a.length>1?Promise.all(a.map(G=>G.promise)):null;function w(G){if((d.f&Wt)===0){m();try{n([...l,...G])}catch(F){So(F,d)}wa()}}var S=Rd();if(o.length===0){h.then(()=>w([])).finally(S);return}function T(){Promise.all(o.map(G=>ym(G))).then(w).catch(G=>So(G,d)).finally(S)}h?h.then(()=>{m(),T(),wa()}):T()}function vm(){var t=de,i=ve,o=Me,n=re;return function(a=!0){di(t),li(i),jn(o),a&&(t.f&Wt)===0&&(n?.activate(),n?.apply())}}function wa(t=!0){di(null),li(null),jn(null),t&&re?.deactivate()}function Rd(){var t=de,i=t.b,o=re,n=!!i?.is_rendered();return i?.update_pending_count(1,o),o.increment(n,t),()=>{i?.update_pending_count(-1,o),o.decrement(n,t)}}function Mn(t){var i=rt|et;return de!==null&&(de.f|=Sn),{ctx:Me,deps:null,effects:null,equals:Td,f:i,fn:t,reactions:null,rv:0,v:ot,wv:0,parent:de,ac:null}}const bs=Symbol("obsolete");function ym(t,i,o){let n=de;n===null&&Cf();var s=void 0,a=Qo(ot),l=!ve,d=new Set;return jm(()=>{var m=de,h=hd();s=h.promise;try{Promise.resolve(t()).then(h.resolve,G=>{G!==_s&&h.reject(G)}).finally(wa)}catch(G){h.reject(G),wa()}var w=re;if(l){if((m.f&Po)!==0)var S=Rd();if(n.b?.is_rendered())w.async_deriveds.get(m)?.reject(bs);else for(const G of d.values())G.reject(bs);d.add(h),w.async_deriveds.set(m,h)}const T=(G,F=void 0)=>{S?.(),d.delete(h),F!==bs&&(w.activate(),F?(a.f|=$o,Rn(a,F)):((a.f&$o)!==0&&(a.f^=$o),Rn(a,G)),w.deactivate())};h.promise.then(T,G=>T(null,G||"unknown"))}),Pr(()=>{for(const m of d)m.reject(bs)}),new Promise(m=>{function h(w){function S(){w===s?m(a):h(s)}w.then(S,S)}h(s)})}function ki(t){const i=Mn(t);return rc(i),i}function eo(t){const i=Mn(t);return i.equals=Fd,i}function bm(t){var i=t.effects;if(i!==null){t.effects=null;for(var o=0;o<i.length;o+=1)Vt(i[o])}}function zr(t){var i,o=de,n=t.parent;if(!so&&n!==null&&t.v!==ot&&(n.f&(Wt|zt))!==0)return sm(),t.v;di(n);try{t.f&=~Lo,bm(t),i=fc(t)}finally{di(o)}return i}function Ed(t){var i=zr(t);if(!t.equals(i)&&(t.wv=cc(),(!re?.is_fork||t.deps===null)&&(re!==null?(re.capture(t,i,!0),Mr?.capture(t,i,!0)):t.v=i,t.deps===null))){Ie(t,Ye);return}so||(wi!==null?(Ir()||re?.is_fork)&&wi.set(t,i):qr(t))}function km(t){if(t.effects!==null)for(const i of t.effects)(i.teardown||i.ac)&&(i.teardown?.(),i.ac!==null&&Un(()=>{i.ac.abort(_s),i.ac=null}),i.fn!==null&&(i.teardown=pa),xs(i,0),Or(i))}function Bd(t){if(t.effects!==null)for(const i of t.effects)i.teardown&&i.fn!==null&&Xo(i)}let Ur=null,An=null,re=null,Mr=null,wi=null,Ar=null,ks=!1,Cr=!1,Cn=null,xa=null;var Dd=0,hy=new Set;let wm=1;class to{id=wm++;#e=!1;linked=!0;#t=null;#i=null;async_deriveds=new Map;current=new Map;previous=new Map;#l=new Set;#n=new Set;#s=0;#o=new Map;#r=null;#a=[];#_=[];#d=new Set;#c=new Set;#f=new Map;#g=new Set;is_fork=!1;#u=!1;constructor(){An===null?Ur=An=this:(An.#i=this,this.#t=An),An=this}#v(){if(this.is_fork)return!0;for(const n of this.#o.keys()){for(var i=n,o=!1;i.parent!==null;){if(this.#f.has(i)){o=!0;break}i=i.parent}if(!o)return!0}return!1}skip_effect(i){this.#f.has(i)||this.#f.set(i,{d:[],m:[]}),this.#g.delete(i)}unskip_effect(i,o=n=>this.schedule(n)){var n=this.#f.get(i);if(n){this.#f.delete(i);for(var s of n.d)Ie(s,et),o(s);for(s of n.m)Ie(s,ai),o(s)}this.#g.add(i)}#h(){this.#e=!0,Dd++>1e3&&(this.#p(),xm());for(const m of this.#d)this.#c.delete(m),Ie(m,et),this.schedule(m);for(const m of this.#c)Ie(m,ai),this.schedule(m);const i=this.#a;this.#a=[],this.apply();var o=Cn=[],n=[],s=xa=[];for(const m of i)try{this.#y(m,o,n)}catch(h){throw Od(m),this.#v()||this.discard(),h}if(re=null,s.length>0){var a=to.ensure();for(const m of s)a.schedule(m)}if(Cn=null,xa=null,this.#v()){this.#m(n),this.#m(o);for(const[m,h]of this.#f)Ld(m,h);s.length>0&&re.#h();return}const l=this.#b();if(l){this.#m(n),this.#m(o),l.#w(this);return}this.#d.clear(),this.#c.clear();for(const m of this.#l)m(this);this.#l.clear(),Mr=this,Id(n),Id(o),Mr=null,this.#r?.resolve();var d=re;if(this.#s===0&&(this.#a.length===0||d!==null)&&this.#p(),this.#a.length>0)if(d!==null){const m=d;m.#a.push(...this.#a.filter(h=>!m.#a.includes(h)))}else d=this;d!==null&&d.#h()}#y(i,o,n){i.f^=Ye;for(var s=i.first;s!==null;){var a=s.f,l=(a&(ni|Zi))!==0,d=l&&(a&Ye)!==0,m=d||(a&zt)!==0||this.#f.has(s);if(!m&&s.fn!==null){l?s.f^=Ye:(a&$n)!==0?o.push(s):Vn(s)&&((a&bi)!==0&&this.#c.add(s),Xo(s));var h=s.first;if(h!==null){s=h;continue}}for(;s!==null;){var w=s.next;if(w!==null){s=w;break}s=s.parent}}}#b(){for(var i=this.#t;i!==null;){if(!i.is_fork){for(const[o,[,n]]of this.current)if(i.current.has(o)&&!n)return i}i=i.#t}return null}#w(i){for(const[n,s]of i.current)!this.previous.has(n)&&i.previous.has(n)&&this.previous.set(n,i.previous.get(n)),this.current.set(n,s);for(const[n,s]of i.async_deriveds){const a=this.async_deriveds.get(n);a&&s.promise.then(a.resolve).catch(a.reject)}i.async_deriveds.clear(),this.transfer_effects(i.#d,i.#c);const o=n=>{var s=n.reactions;if(s!==null&&!((n.f&rt)!==0&&(n.f&(et|ai))===0))for(const d of s){var a=d.f;if((a&rt)!==0)o(d);else{var l=d;a&(Gn|bi)&&!this.async_deriveds.has(l)&&(this.#c.delete(l),Ie(l,et),this.schedule(l))}}};for(const n of this.current.keys())o(n);this.oncommit(()=>i.discard()),i.#p(),re=this,this.#h()}#m(i){for(var o=0;o<i.length;o+=1)Md(i[o],this.#d,this.#c)}capture(i,o,n=!1){i.v!==ot&&!this.previous.has(i)&&this.previous.set(i,i.v),(i.f&$o)===0&&(this.current.set(i,[o,n]),wi?.set(i,o)),this.is_fork||(i.v=o)}activate(){re=this}deactivate(){re=null,wi=null}flush(){try{Cr=!0,re=this,this.#h()}finally{Dd=0,Ar=null,Cn=null,xa=null,Cr=!1,re=null,wi=null,Ho.clear()}}discard(){for(const i of this.#n)i(this);this.#n.clear();for(const i of this.async_deriveds.values())i.reject(bs);this.#p(),this.#r?.resolve()}register_created_effect(i){this.#_.push(i)}#k(){for(let S=Ur;S!==null;S=S.#i){var i=S.id<this.id,o=[];for(const[T,[G,F]]of this.current){if(S.current.has(T)){var n=S.current.get(T)[0];if(i&&G!==n)S.current.set(T,[G,F]);else continue}o.push(T)}if(i)for(const[T,G]of this.async_deriveds){const F=S.async_deriveds.get(T);F&&G.promise.then(F.resolve).catch(F.reject)}var s=[...S.current.keys()].filter(T=>!S.current.get(T)[1]);if(!(!S.#e||s.length===0)){var a=s.filter(T=>!this.current.has(T));if(a.length===0)i&&S.discard();else if(o.length>0){if(i)for(const T of this.#g)S.unskip_effect(T,G=>{(G.f&(bi|Gn))!==0?S.schedule(G):S.#m([G])});S.activate();var l=new Set,d=new Map;for(var m of o)Pd(m,a,l,d);d=new Map;var h=[...S.current].filter(([T,G])=>{const F=this.current.get(T);return F?F[0]!==G[0]||F[1]!==G[1]:!0}).map(([T])=>T);if(h.length>0)for(const T of this.#_)(T.f&(Wt|zt|_a))===0&&Rr(T,h,d)&&((T.f&(Gn|bi))!==0?(Ie(T,et),S.schedule(T)):S.#d.add(T));if(S.#a.length>0&&!S.#u){S.apply();for(var w of S.#a)S.#y(w,[],[]);S.#a=[]}S.deactivate()}}}}increment(i,o){if(this.#s+=1,i){let n=this.#o.get(o)??0;this.#o.set(o,n+1)}}decrement(i,o){if(this.#s-=1,i){let n=this.#o.get(o)??0;n===1?this.#o.delete(o):this.#o.set(o,n-1)}this.#u||(this.#u=!0,Ii(()=>{this.#u=!1,this.linked&&this.flush()}))}transfer_effects(i,o){for(const n of i)this.#d.add(n);for(const n of o)this.#c.add(n);i.clear(),o.clear()}oncommit(i){this.#l.add(i)}ondiscard(i){this.#n.add(i)}settled(){return(this.#r??=hd()).promise}static ensure(){if(re===null){const i=re=new to;!Cr&&!ks&&Ii(()=>{i.#e||i.flush()})}return re}apply(){{wi=null;return}}schedule(i){if(Ar=i,i.b?.is_pending&&(i.f&($n|ms|vd))!==0&&(i.f&Po)===0){i.b.defer_effect(i);return}for(var o=i;o.parent!==null;){o=o.parent;var n=o.f;if(Cn!==null&&o===de&&(ve===null||(ve.f&rt)===0))return;if((n&(Zi|ni))!==0){if((n&Ye)===0)return;o.f^=Ye}}this.#a.push(o)}#p(){if(this.linked){var i=this.#t,o=this.#i;i===null?Ur=o:i.#i=o,o===null?An=i:o.#t=i,this.linked=!1}}}function Vd(t){var i=ks;ks=!0;try{for(var o;;){if(cm(),re===null)return o;re.flush()}}finally{ks=i}}function xm(){try{Vf()}catch(t){So(t,Ar)}}let io=null;function Id(t){var i=t.length;if(i!==0){for(var o=0;o<i;){var n=t[o++];if((n.f&(Wt|zt))===0&&Vn(n)&&(io=new Set,Xo(n),n.deps===null&&n.first===null&&n.nodes===null&&n.teardown===null&&n.ac===null&&oc(n),io?.size>0)){Ho.clear();for(const s of io){if((s.f&(Wt|zt))!==0)continue;const a=[s];let l=s.parent;for(;l!==null;)io.has(l)&&(io.delete(l),a.push(l)),l=l.parent;for(let d=a.length-1;d>=0;d--){const m=a[d];(m.f&(Wt|zt))===0&&Xo(m)}}io.clear()}}io=null}}function Pd(t,i,o,n){if(!o.has(t)&&(o.add(t),t.reactions!==null))for(const s of t.reactions){const a=s.f;(a&rt)!==0?Pd(s,i,o,n):(a&(Gn|bi))!==0&&(a&et)===0&&Rr(s,i,n)&&(Ie(s,et),Er(s))}}function Rr(t,i,o){const n=o.get(t);if(n!==void 0)return n;if(t.deps!==null)for(const s of t.deps){if(fa.call(i,s))return!0;if((s.f&rt)!==0&&Rr(s,i,o))return o.set(s,!0),!0}return o.set(t,!1),!1}function Er(t){re.schedule(t)}function Ld(t,i){if(!((t.f&ni)!==0&&(t.f&Ye)!==0)){(t.f&et)!==0?i.d.push(t):(t.f&ai)!==0&&i.m.push(t),Ie(t,Ye);for(var o=t.first;o!==null;)Ld(o,i),o=o.next}}function Od(t){Ie(t,Ye);for(var i=t.first;i!==null;)Od(i),i=i.next}let $a=new Set;const Ho=new Map;let Nd=!1;function Qo(t,i){var o={f:0,v:t,reactions:null,equals:Td,rv:0,wv:0};return o}function We(t,i){const o=Qo(t);return rc(o),o}function C(t,i=!1,o=!0){const n=Qo(t);return i||(n.equals=Fd),Fn&&o&&Me!==null&&Me.l!==null&&(Me.l.s??=[]).push(n),n}function oo(t,i){return f(t,p(()=>e(t))),i}function f(t,i,o=!1){ve!==null&&(!xi||(ve.f&_a)!==0)&&ys()&&(ve.f&(rt|bi|Gn|_a))!==0&&(Li===null||!Li.has(t))&&Nf();let n=o?En(i):i;return Rn(t,n,xa)}function Rn(t,i,o=null){if(!t.equals(i)){Ho.set(t,so?i:t.v);var n=to.ensure();if(n.capture(t,i),(t.f&rt)!==0){const s=t;(t.f&et)!==0&&zr(s),wi===null&&qr(s)}t.wv=cc(),Hd(t,et,o),ys()&&de!==null&&(de.f&Ye)!==0&&(de.f&(ni|Zi))===0&&(ci===null?Mm([t]):ci.push(t)),!n.is_fork&&$a.size>0&&!Nd&&$m()}return i}function $m(){Nd=!1;for(const t of $a){(t.f&Ye)!==0&&Ie(t,ai);let i;try{i=Vn(t)}catch{i=!0}i&&Xo(t)}$a.clear()}function ws(t){f(t,t.v+1)}function Hd(t,i,o){var n=t.reactions;if(n!==null)for(var s=ys(),a=n.length,l=0;l<a;l++){var d=n[l],m=d.f;if(!(!s&&d===de)){var h=(m&et)===0;if(h&&Ie(d,i),(m&_a)!==0)$a.add(d);else if((m&rt)!==0){var w=d;wi?.delete(w),(m&Lo)===0&&(m&si&&(de===null||(de.f&ga)===0)&&(d.f|=Lo),Hd(w,ai,o))}else if(h){var S=d;(m&bi)!==0&&io!==null&&io.add(S),o!==null?o.push(S):Er(S)}}}}function En(t){if(typeof t!="object"||t===null||Yi in t)return t;const i=hr(t);if(i!==jf&&i!==zf)return t;var o=new Map,n=gr(t),s=We(0),a=Ko,l=d=>{if(Ko===a)return d();var m=ve,h=Ko;li(null),dc(a);var w=d();return li(m),dc(h),w};return n&&o.set("length",We(t.length)),new Proxy(t,{defineProperty(d,m,h){(!("value"in h)||h.configurable===!1||h.enumerable===!1||h.writable===!1)&&Lf();var w=o.get(m);return w===void 0?l(()=>{var S=We(h.value);return o.set(m,S),S}):f(w,h.value,!0),!0},deleteProperty(d,m){var h=o.get(m);if(h===void 0){if(m in d){const w=l(()=>We(ot));o.set(m,w),ws(s)}}else f(h,ot),ws(s);return!0},get(d,m,h){if(m===Yi)return t;var w=o.get(m),S=m in d;if(w===void 0&&(!S||xn(d,m)?.writable)&&(w=l(()=>{var G=En(S?d[m]:ot),F=We(G);return F}),o.set(m,w)),w!==void 0){var T=e(w);return T===ot?void 0:T}return Reflect.get(d,m,h)},getOwnPropertyDescriptor(d,m){var h=Reflect.getOwnPropertyDescriptor(d,m);if(h&&"value"in h){var w=o.get(m);w&&(h.value=e(w))}else if(h===void 0){var S=o.get(m),T=S?.v;if(S!==void 0&&T!==ot)return{enumerable:!0,configurable:!0,value:T,writable:!0}}return h},has(d,m){if(m===Yi)return!0;var h=o.get(m),w=h!==void 0&&h.v!==ot||Reflect.has(d,m);if(h!==void 0||de!==null&&(!w||xn(d,m)?.writable)){h===void 0&&(h=l(()=>{var T=w?En(d[m]):ot,G=We(T);return G}),o.set(m,h));var S=e(h);if(S===ot)return!1}return w},set(d,m,h,w){var S=o.get(m),T=m in d;if(n&&m==="length")for(var G=h;G<S.v;G+=1){var F=o.get(G+"");F!==void 0?f(F,ot):G in d&&(F=l(()=>We(ot)),o.set(G+"",F))}if(S===void 0)(!T||xn(d,m)?.writable)&&(S=l(()=>We(void 0)),f(S,En(h)),o.set(m,S));else{T=S.v!==ot;var U=l(()=>En(h));f(S,U)}var j=Reflect.getOwnPropertyDescriptor(d,m);if(j?.set&&j.set.call(w,h),!T){if(n&&typeof m=="string"){var x=o.get("length"),y=Number(m);Number.isInteger(y)&&y>=x.v&&f(x,y+1)}ws(s)}return!0},ownKeys(d){e(s);var m=Reflect.ownKeys(d).filter(S=>{var T=o.get(S);return T===void 0||T.v!==ot});for(var[h,w]of o)w.v!==ot&&!(h in d)&&m.push(h);return m},setPrototypeOf(){Of()}})}function Qd(t){try{if(t!==null&&typeof t=="object"&&Yi in t)return t[Yi]}catch{}return t}function Sm(t,i){return Object.is(Qd(t),Qd(i))}var Br,Jd,Wd,Kd,Xd;function Dr(){if(Br===void 0){Br=window,Jd=document,Wd=/Firefox/.test(navigator.userAgent);var t=Element.prototype,i=Node.prototype,o=Text.prototype;Kd=xn(i,"firstChild").get,Xd=xn(i,"nextSibling").get,gd(t)&&(t[kr]=void 0,t[wd]=null,t[wr]=void 0,t.__e=void 0),gd(o)&&(o[xr]=void 0)}}function Ut(t=""){return document.createTextNode(t)}function no(t){return Kd.call(t)}function ri(t){return Xd.call(t)}function g(t,i){if(!ae)return no(t);var o=no(he);if(o===null)o=he.appendChild(Ut());else if(i&&o.nodeType!==gs){var n=Ut();return o?.before(n),lt(n),n}return i&&Sa(o),lt(o),o}function Re(t,i=!1){if(!ae){var o=no(t);return o instanceof Comment&&o.data===""?ri(o):o}if(i){if(he?.nodeType!==gs){var n=Ut();return he?.before(n),lt(n),n}Sa(he)}return he}function b(t,i=1,o=!1){let n=ae?he:t;for(var s;i--;)s=n,n=ri(n);if(!ae)return n;if(o){if(n?.nodeType!==gs){var a=Ut();return n===null?s?.after(a):n.before(a),lt(a),a}Sa(n)}return lt(n),n}function Vr(t){t.textContent=""}function Zd(){return!1}function Gm(t,i,o){return o?document.createElement(t,{is:o}):document.createElement(t)}function Sa(t){if(t.nodeValue.length<65536)return;let i=t.nextSibling;for(;i!==null&&i.nodeType===gs;)i.remove(),t.nodeValue+=i.nodeValue,i=t.nextSibling}function Yd(t){de===null&&(ve===null&&Df(),Bf()),so&&Ef()}function Tm(t,i){var o=i.last;o===null?i.last=i.first=t:(o.next=t,t.prev=o,i.last=t)}function Pi(t,i){var o=de;o!==null&&(o.f&zt)!==0&&(t|=zt);var n={ctx:Me,deps:null,nodes:null,f:t|et|si,first:null,fn:i,last:null,next:null,parent:o,b:o&&o.b,prev:null,teardown:null,wv:0,ac:null};re?.register_created_effect(n);var s=n;if((t&$n)!==0)Cn!==null?Cn.push(n):to.ensure().schedule(n);else if(i!==null){try{Xo(n)}catch(l){throw Vt(n),l}s.deps===null&&s.teardown===null&&s.nodes===null&&s.first===s.last&&(s.f&Sn)===0&&(s=s.first,(t&bi)!==0&&(t&xo)!==0&&s!==null&&(s.f|=xo))}if(s!==null&&(s.parent=o,o!==null&&Tm(s,o),ve!==null&&(ve.f&rt)!==0&&(t&Zi)===0)){var a=ve;(a.effects??=[]).push(s)}return n}function Ir(){return ve!==null&&!xi}function Pr(t){const i=Pi(ms,null);return Ie(i,Ye),i.teardown=t,i}function Ga(t){Yd();var i=de.f,o=!ve&&(i&ni)!==0&&Me!==null&&!Me.i;if(o){var n=Me;(n.e??=[]).push(t)}else return ec(t)}function ec(t){return Pi($n|bd,t)}function tc(t){return Yd(),Pi(ms|bd,t)}function qm(t){to.ensure();const i=Pi(Zi|Sn,t);return(o={})=>new Promise(n=>{o.outro?Jo(i,()=>{Vt(i),n(void 0)}):(Vt(i),n(void 0))})}function Lr(t){return Pi($n,t)}function nt(t,i){var o=Me,n={effect:null,ran:!1,deps:t};o.l.$.push(n),n.effect=Bn(()=>{if(t(),!n.ran){n.ran=!0;var s=de;try{di(s.parent),p(i)}finally{di(s)}}})}function Fm(){var t=Me;Bn(()=>{for(var i of t.l.$){i.deps();var o=i.effect;(o.f&Ye)!==0&&o.deps!==null&&Ie(o,ai),Vn(o)&&Xo(o),i.ran=!1}})}function jm(t){return Pi(Gn|Sn,t)}function Bn(t,i=0){return Pi(ms|i,t)}function E(t,i=[],o=[],n=[]){hm(n,i,o,s=>{Pi(ms,()=>{t(...s.map(e))})})}function Dn(t,i=0){var o=Pi(bi|i,t);return o}function Xt(t){return Pi(ni|Sn,t)}function ic(t){var i=t.teardown;if(i!==null){const o=so,n=ve;ac(!0),li(null);try{i.call(null)}finally{ac(o),li(n)}}}function Or(t,i=!1){var o=t.first;for(t.first=t.last=null;o!==null;){const s=o.ac;s!==null&&Un(()=>{s.abort(_s)});var n=o.next;(o.f&Zi)!==0?o.parent=null:Vt(o,i),o=n}}function zm(t){for(var i=t.first;i!==null;){var o=i.next;(i.f&ni)===0&&Vt(i),i=o}}function Vt(t,i=!0){var o=!1;(i||(t.f&yd)!==0)&&t.nodes!==null&&t.nodes.end!==null&&(Um(t.nodes.start,t.nodes.end),o=!0),t.f|=br,Or(t,i&&!o),xs(t,0);var n=t.nodes&&t.nodes.t;if(n!==null)for(const a of n)a.stop();ic(t),t.f^=br,t.f|=Wt;var s=t.parent;s!==null&&s.first!==null&&oc(t),t.next=t.prev=t.teardown=t.ctx=t.deps=t.fn=t.nodes=t.ac=t.b=null}function Um(t,i){for(;t!==null;){var o=t===i?null:ri(t);t.remove(),t=o}}function oc(t){var i=t.parent,o=t.prev,n=t.next;o!==null&&(o.next=n),n!==null&&(n.prev=o),i!==null&&(i.first===t&&(i.first=n),i.last===t&&(i.last=o))}function Jo(t,i,o=!0){var n=[];nc(t,n,!0);var s=()=>{o&&Vt(t),i&&i()},a=n.length;if(a>0){var l=()=>--a||s();for(var d of n)d.out(l)}else s()}function nc(t,i,o){if((t.f&zt)===0){t.f^=zt;var n=t.nodes&&t.nodes.t;if(n!==null)for(const d of n)(d.is_global||o)&&i.push(d);for(var s=t.first;s!==null;){var a=s.next;if((s.f&Zi)===0){var l=(s.f&xo)!==0||(s.f&ni)!==0&&(t.f&bi)!==0;nc(s,i,l?o:!1)}s=a}}}function Ta(t){sc(t,!0)}function sc(t,i){if((t.f&zt)!==0){t.f^=zt,(t.f&Ye)===0&&(Ie(t,et),to.ensure().schedule(t));for(var o=t.first;o!==null;){var n=o.next,s=(o.f&xo)!==0||(o.f&ni)!==0;sc(o,s?i:!1),o=n}var a=t.nodes&&t.nodes.t;if(a!==null)for(const l of a)(l.is_global||i)&&l.in()}}function Nr(t,i){if(t.nodes)for(var o=t.nodes.start,n=t.nodes.end;o!==null;){var s=o===n?null:ri(o);i.append(o),o=s}}let qa=!1,so=!1;function ac(t){so=t}let ve=null,xi=!1;function li(t){ve=t}let de=null;function di(t){de=t}let Li=null;function rc(t){ve!==null&&(Li??=new Set).add(t)}let It=null,Zt=0,ci=null;function Mm(t){ci=t}let lc=1,Wo=0,Ko=Wo;function dc(t){Ko=t}function cc(){return++lc}function Vn(t){var i=t.f;if((i&et)!==0)return!0;if(i&rt&&(t.f&=~Lo),(i&ai)!==0){for(var o=t.deps,n=o.length,s=0;s<n;s++){var a=o[s];if(Vn(a)&&Ed(a),a.wv>t.wv)return!0}(i&si)!==0&&wi===null&&Ie(t,Ye)}return!1}function uc(t,i,o=!0){var n=t.reactions;if(n!==null&&!(Li!==null&&Li.has(t)))for(var s=0;s<n.length;s++){var a=n[s];(a.f&rt)!==0?uc(a,i,!1):i===a&&(o?Ie(a,et):(a.f&Ye)!==0&&Ie(a,ai),Er(a))}}function fc(t){var i=It,o=Zt,n=ci,s=ve,a=Li,l=Me,d=xi,m=Ko,h=t.f;It=null,Zt=0,ci=null,ve=(h&(ni|Zi))===0?t:null,Li=null,jn(t.ctx),xi=!1,Ko=++Wo,t.ac!==null&&(Un(()=>{t.ac.abort(_s)}),t.ac=null);try{t.f|=ga;var w=t.fn,S=w();t.f|=Po;var T=t.deps,G=re?.is_fork;if(It!==null){var F;if(G||xs(t,Zt),T!==null&&Zt>0)for(T.length=Zt+It.length,F=0;F<It.length;F++)T[Zt+F]=It[F];else t.deps=T=It;if(Ir()&&(t.f&si)!==0)for(F=Zt;F<T.length;F++)(T[F].reactions??=[]).push(t)}else!G&&T!==null&&Zt<T.length&&(xs(t,Zt),T.length=Zt);if(ys()&&ci!==null&&!xi&&T!==null&&(t.f&(rt|ai|et))===0)for(F=0;F<ci.length;F++)uc(ci[F],t);if(s!==null&&s!==t){if(Wo++,s.deps!==null)for(let U=0;U<o;U+=1)s.deps[U].rv=Wo;if(i!==null)for(const U of i)U.rv=Wo;ci!==null&&(n===null?n=ci:n.push(...ci))}return(t.f&$o)!==0&&(t.f^=$o),S}catch(U){return zd(U)}finally{t.f^=ga,It=i,Zt=o,ci=n,ve=s,Li=a,jn(l),xi=d,Ko=m}}function Am(t,i){let o=i.reactions;if(o!==null){var n=Ff.call(o,t);if(n!==-1){var s=o.length-1;s===0?o=i.reactions=null:(o[n]=o[s],o.pop())}}if(o===null&&(i.f&rt)!==0&&(It===null||!fa.call(It,i))){var a=i;(a.f&si)!==0&&(a.f^=si,a.f&=~Lo),a.v!==ot&&qr(a),a.ac!==null&&Un(()=>{a.ac.abort(_s),a.ac=null,Ie(a,et)}),km(a),xs(a,0)}}function xs(t,i){var o=t.deps;if(o!==null)for(var n=i;n<o.length;n++)Am(t,o[n])}function Xo(t){var i=t.f;if((i&Wt)===0){Ie(t,Ye);var o=de,n=qa;de=t,qa=(i&(ni|Zi))===0;try{(i&(bi|vd))!==0?zm(t):Or(t),ic(t);var s=fc(t);t.teardown=typeof s=="function"?s:null,t.wv=lc;var a;md&&lm&&(t.f&et)!==0&&t.deps}finally{qa=n,de=o}}}async function In(){await Promise.resolve(),Vd()}function Cm(){return to.ensure().settled()}function e(t){var i=t.f,o=(i&rt)!==0;if(ve!==null&&!xi){var n=de!==null&&(de.f&Wt)!==0;if(!n&&(Li===null||!Li.has(t))){var s=ve.deps;if((ve.f&ga)!==0)t.rv<Wo&&(t.rv=Wo,It===null&&s!==null&&s[Zt]===t?Zt++:It===null?It=[t]:It.push(t));else{ve.deps??=[],fa.call(ve.deps,t)||ve.deps.push(t);var a=t.reactions;a===null?t.reactions=[ve]:fa.call(a,ve)||a.push(ve)}}}if(so&&Ho.has(t))return Ho.get(t);if(o){var l=t;if(so){var d=l.v;return((l.f&Ye)===0&&l.reactions!==null||pc(l))&&(d=zr(l)),Ho.set(l,d),d}var m=(l.f&si)===0&&!xi&&ve!==null&&(qa||(ve.f&si)!==0),h=(l.f&Po)===0;Vn(l)&&(m&&(l.f|=si),Ed(l)),m&&!h&&(Bd(l),mc(l))}if(wi?.has(t))return wi.get(t);if((t.f&$o)!==0)throw t.v;return t.v}function mc(t){if(t.f|=si,t.deps!==null)for(const i of t.deps)(i.reactions??=[]).push(t),(i.f&rt)!==0&&(i.f&si)===0&&(Bd(i),mc(i))}function pc(t){if(t.v===ot)return!0;if(t.deps===null)return!1;for(const i of t.deps)if(Ho.has(i)||(i.f&rt)!==0&&pc(i))return!0;return!1}function p(t){var i=xi;try{return xi=!0,t()}finally{xi=i}}function Ke(t){if(!(typeof t!="object"||!t||t instanceof EventTarget)){if(Yi in t)Hr(t);else if(!Array.isArray(t))for(let i in t){const o=t[i];typeof o=="object"&&o&&Yi in o&&Hr(o)}}}function Hr(t,i=new Set){if(typeof t=="object"&&t!==null&&!(t instanceof EventTarget)&&!i.has(t)){i.add(t),t instanceof Date&&t.getTime();for(let n in t)try{Hr(t[n],i)}catch{}const o=hr(t);if(o!==Object.prototype&&o!==Array.prototype&&o!==Map.prototype&&o!==Set.prototype&&o!==Date.prototype){const n=_d(o);for(let s in n){const a=n[s].get;if(a)try{a.call(t)}catch{}}}}}const Rm=["touchstart","touchmove"];function Em(t){return Rm.includes(t)}const Fa=Symbol("events"),Bm=new Set,_c=new Set;function Dm(t,i,o,n={}){function s(a){if(n.capture||Qr.call(i,a),!a.cancelBubble)return Un(()=>o?.call(this,a))}return t.startsWith("pointer")||t.startsWith("touch")||t==="wheel"?Ii(()=>{i.addEventListener(t,s,n)}):i.addEventListener(t,s,n),s}function K(t,i,o,n,s){var a={capture:n,passive:s},l=Dm(t,i,o,a);(i===document.body||i===window||i===document||i instanceof HTMLMediaElement)&&Pr(()=>{i.removeEventListener(t,l,a)})}let gc=null;function Qr(t){var i=this,o=i.ownerDocument,n=t.type,s=t.composedPath?.()||[],a=s[0]||t.target;gc=t;var l=0,d=gc===t&&t[Fa];if(d){var m=s.indexOf(d);if(m!==-1&&(i===document||i===window)){t[Fa]=i;return}var h=s.indexOf(i);if(h===-1)return;m<=h&&(l=m)}if(a=s[l]||t.target,a!==i){pd(t,"currentTarget",{configurable:!0,get(){return a||o}});var w=ve,S=de;li(null),di(null);try{for(var T,G=[];a!==null&&a!==i;){try{var F=a[Fa]?.[n];F!=null&&(!a.disabled||t.target===a)&&F.call(a,t)}catch(U){T?G.push(U):T=U}if(t.cancelBubble)break;l++,a=l<s.length?s[l]:null}if(T){for(let U of G)queueMicrotask(()=>{throw U});throw T}}finally{t[Fa]=i,delete t.currentTarget,li(w),di(S)}}}const Vm=globalThis?.window?.trustedTypes&&globalThis.window.trustedTypes.createPolicy("svelte-trusted-html",{createHTML:t=>t});function Im(t){return Vm?.createHTML(t)??t}function Pm(t){var i=Gm("template");return i.innerHTML=Im(t.replaceAll("<!>","<!---->")),i.content}function Go(t,i){var o=de;o.nodes===null&&(o.nodes={start:t,end:i,a:null,t:null})}function D(t,i){var o=(i&im)!==0,n=(i&om)!==0,s,a=!t.startsWith("<!>");return()=>{if(ae)return Go(he,null),he;s===void 0&&(s=Pm(a?t:"<!>"+t),o||(s=no(s)));var l=n||Wd?document.importNode(s,!0):s.cloneNode(!0);if(o){var d=no(l),m=l.lastChild;Go(d,m)}else Go(l,l);return l}}function Lm(t=""){if(!ae){var i=Ut(t+"");return Go(i,i),i}var o=he;return o.nodeType!==gs?(o.before(o=Ut()),lt(o)):Sa(o),Go(o,o),o}function Pn(){if(ae)return Go(he,null),he;var t=document.createDocumentFragment(),i=document.createComment(""),o=Ut();return t.append(i,o),Go(i,o),t}function M(t,i){if(ae){var o=de;((o.f&Po)===0||o.nodes.end===null)&&(o.nodes.end=he),hs();return}t!==null&&t.before(i)}function k(t,i){var o=i==null?"":typeof i=="object"?`${i}`:i;o!==(t[xr]??=t.nodeValue)&&(t[xr]=o,t.nodeValue=`${o}`)}function hc(t,i){return vc(t,i)}function Om(t,i){Dr(),i.intro=i.intro??!1;const o=i.target,n=ae,s=he;try{for(var a=no(o);a&&(a.nodeType!==Tn||a.data!==$r);)a=ri(a);if(!a)throw qn;Kt(!0),lt(a);const l=vc(t,{...i,anchor:a});return Kt(!1),l}catch(l){if(l instanceof Error&&l.message.split(`
+					this.__sveltekit_1so0o7x=this.__sveltekit_1so0o7x||{};this.__sveltekit_1so0o7x.app=(function(ua){"use strict";var oi=typeof document<"u"?document.currentScript:null;const md=!1;var gr=Array.isArray,Ff=Array.prototype.indexOf,fa=Array.prototype.includes,ma=Array.from,pd=Object.defineProperty,xn=Object.getOwnPropertyDescriptor,_d=Object.getOwnPropertyDescriptors,jf=Object.prototype,zf=Array.prototype,hr=Object.getPrototypeOf,gd=Object.isExtensible;const pa=()=>{};function Uf(t){return t()}function vr(t){for(var i=0;i<t.length;i++)t[i]()}function hd(){var t,i,o=new Promise((n,s)=>{t=n,i=s});return{promise:o,resolve:t,reject:i}}function Mf(t,i){if(Array.isArray(t))return t;if(!(Symbol.iterator in t))return Array.from(t);const o=[];for(const n of t)if(o.push(n),o.length===i)break;return o}const rt=2,$n=4,ms=8,vd=1<<24,bi=16,ni=32,Zi=64,yr=128,si=512,Ye=1024,et=2048,ai=4096,zt=8192,Wt=16384,Po=32768,br=1<<25,xo=65536,_a=1<<17,yd=1<<18,Sn=1<<19,bd=1<<20,Vi=1<<25,Lo=65536,ga=1<<21,Gn=1<<22,$o=1<<23,Yi=Symbol("$state"),kd=Symbol("legacy props"),Af=Symbol(""),wd=Symbol("attributes"),kr=Symbol("class"),wr=Symbol("style"),xr=Symbol("text"),ps=Symbol("form reset"),_s=new class extends Error{name="StaleReactionError";message="The reaction that called `getAbortSignal()` was re-run or destroyed"},xd=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml"),gs=3,Tn=8;function $d(t){throw new Error("https://svelte.dev/e/lifecycle_outside_component")}function Cf(){throw new Error("https://svelte.dev/e/async_derived_orphan")}function Rf(t,i,o){throw new Error("https://svelte.dev/e/each_key_duplicate")}function Ef(t){throw new Error("https://svelte.dev/e/effect_in_teardown")}function Bf(){throw new Error("https://svelte.dev/e/effect_in_unowned_derived")}function Df(t){throw new Error("https://svelte.dev/e/effect_orphan")}function Vf(){throw new Error("https://svelte.dev/e/effect_update_depth_exceeded")}function If(){throw new Error("https://svelte.dev/e/hydration_failed")}function Pf(t){throw new Error("https://svelte.dev/e/props_invalid_value")}function Lf(){throw new Error("https://svelte.dev/e/state_descriptors_fixed")}function Of(){throw new Error("https://svelte.dev/e/state_prototype_fixed")}function Nf(){throw new Error("https://svelte.dev/e/state_unsafe_mutation")}function Hf(){throw new Error("https://svelte.dev/e/svelte_boundary_reset_onerror")}const Qf=1,Jf=2,Sd=4,Wf=8,Kf=16,Xf=1,Zf=2,Yf=4,em=8,tm=16,im=1,om=2,$r="[",Sr="[!",Gd="[?",Gr="]",qn={},ot=Symbol("uninitialized"),nm="http://www.w3.org/1999/xhtml";function sm(){console.warn("https://svelte.dev/e/derived_inert")}function ha(t){console.warn("https://svelte.dev/e/hydration_mismatch")}function am(){console.warn("https://svelte.dev/e/select_multiple_invalid_value")}function rm(){console.warn("https://svelte.dev/e/svelte_boundary_reset_noop")}let ae=!1;function Kt(t){ae=t}let he;function lt(t){if(t===null)throw ha(),qn;return he=t}function hs(){return lt(ri(he))}function _(t){if(ae){if(ri(he)!==null)throw ha(),qn;he=t}}function va(t=1){if(ae){for(var i=t,o=he;i--;)o=ri(o);he=o}}function vs(t=!0){for(var i=0,o=he;;){if(o.nodeType===Tn){var n=o.data;if(n===Gr){if(i===0)return o;i-=1}else(n===$r||n===Sr||n[0]==="["&&!isNaN(Number(n.slice(1))))&&(i+=1)}var s=ri(o);t&&o.remove(),o=s}}function Tr(t){if(!t||t.nodeType!==Tn)throw ha(),qn;return t.data}function Td(t){return t===this.v}function qd(t,i){return t!=t?i==i:t!==i||t!==null&&typeof t=="object"||typeof t=="function"}function Fd(t){return!qd(t,this.v)}let Fn=!1,lm=!1;function dm(){Fn=!0}let Me=null;function jn(t){Me=t}function ya(t,i=!1,o){Me={p:Me,i:!1,c:null,e:null,s:t,x:null,r:de,l:Fn&&!i?{s:null,u:null,$:[]}:null}}function ba(t){var i=Me,o=i.e;if(o!==null){i.e=null;for(var n of o)ec(n)}return i.i=!0,Me=i.p,{}}function ys(){return!Fn||Me!==null&&Me.l===null}let Oo=[];function jd(){var t=Oo;Oo=[],vr(t)}function Ii(t){if(Oo.length===0&&!ks){var i=Oo;queueMicrotask(()=>{i===Oo&&jd()})}Oo.push(t)}function cm(){for(;Oo.length>0;)jd()}function zd(t){var i=de;if(i===null)return ve.f|=$o,t;if((i.f&Po)===0&&(i.f&$n)===0)throw t;So(t,i)}function So(t,i){if(!(i!==null&&(i.f&Wt)!==0)){for(;i!==null;){if((i.f&yr)!==0){if((i.f&Po)===0)throw t;try{i.b.error(t);return}catch(o){t=o}}i=i.parent}throw t}}const um=-7169;function Ie(t,i){t.f=t.f&um|i}function qr(t){(t.f&si)!==0||t.deps===null?Ie(t,Ye):Ie(t,ai)}function Ud(t){if(t!==null)for(const i of t)(i.f&rt)===0||(i.f&Lo)===0||(i.f^=Lo,Ud(i.deps))}function Md(t,i,o){(t.f&et)!==0?i.add(t):(t.f&ai)!==0&&o.add(t),Ud(t.deps),Ie(t,Ye)}const zn=[];function Fr(t,i=pa){let o=null;const n=new Set;function s(d){if(qd(t,d)&&(t=d,o)){const m=!zn.length;for(const h of n)h[1](),zn.push(h,t);if(m){for(let h=0;h<zn.length;h+=2)zn[h][0](zn[h+1]);zn.length=0}}}function a(d){s(d(t))}function l(d,m=pa){const h=[d,m];return n.add(h),n.size===1&&(o=i(s,a)||pa),d(t),()=>{n.delete(h),n.size===0&&o&&(o(),o=null)}}return{set:s,update:a,subscribe:l}}let ka=!1;function fm(t){var i=ka;try{return ka=!1,[t(),ka]}finally{ka=i}}function No(t){ae&&no(t)!==null&&Vr(t)}let Ad=!1;function Cd(){Ad||(Ad=!0,document.addEventListener("reset",t=>{Promise.resolve().then(()=>{if(!t.defaultPrevented)for(const i of t.target.elements)i[ps]?.()})},{capture:!0}))}function Un(t){var i=ve,o=de;li(null),di(null);try{return t()}finally{li(i),di(o)}}function jr(t,i,o,n=o){t.addEventListener(i,()=>Un(o));const s=t[ps];s?t[ps]=()=>{s(),n(!0)}:t[ps]=()=>n(!0),Cd()}function mm(t){let i=0,o=Qo(0),n;return()=>{Ir()&&(e(o),Bn(()=>(i===0&&(n=p(()=>t(()=>ws(o)))),i+=1,()=>{Ii(()=>{i-=1,i===0&&(n?.(),n=void 0,ws(o))})})))}}var pm=xo|Sn;function _m(t,i,o,n){new gm(t,i,o,n)}class gm{parent;is_pending=!1;transform_error;#e;#t=ae?he:null;#i;#l;#n;#s=null;#o=null;#r=null;#a=null;#_=0;#d=0;#c=!1;#f=new Set;#g=new Set;#u=null;#v=mm(()=>(this.#u=Qo(this.#_),()=>{this.#u=null}));constructor(i,o,n,s){this.#e=i,this.#i=o,this.#l=a=>{var l=de;l.b=this,l.f|=yr,n(a)},this.parent=de.b,this.transform_error=s??this.parent?.transform_error??(a=>a),this.#n=Dn(()=>{if(ae){const a=this.#t;hs();const l=a.data===Sr;if(a.data.startsWith(Gd)){const m=JSON.parse(a.data.slice(Gd.length));this.#y(m)}else l?this.#w():this.#h()}else this.#m()},pm),ae&&(this.#e=he)}#h(){try{this.#s=Xt(()=>this.#l(this.#e))}catch(i){this.error(i)}}#y(i){const o=this.#i.failed,{reset:n,invoke_onerror:s}=this.#b(i);Ii(s),o&&(this.#r=Xt(()=>{o(this.#e,()=>i,()=>n)}))}#b(i){var o=!1,n=!1;const s=()=>{if(o){rm();return}o=!0,n&&Hf(),this.#r!==null&&Jo(this.#r,()=>{this.#r=null}),this.#p(()=>{this.#m()})};return{reset:s,invoke_onerror:()=>{try{n=!0,this.#i.onerror?.(i,s),n=!1}catch(l){So(l,this.#n&&this.#n.parent)}}}}#w(){const i=this.#i.pending;i&&(this.is_pending=!0,this.#o=Xt(()=>i(this.#e)),Ii(()=>{var o=this.#a=document.createDocumentFragment(),n=Ut();o.append(n),this.#s=this.#p(()=>Xt(()=>this.#l(n))),this.#d===0&&(this.#e.before(o),this.#a=null,Jo(this.#o,()=>{this.#o=null}),this.#k(re))}))}#m(){try{if(this.is_pending=this.has_pending_snippet(),this.#d=0,this.#_=0,this.#s=Xt(()=>{this.#l(this.#e)}),this.#d>0){var i=this.#a=document.createDocumentFragment();Nr(this.#s,i);const o=this.#i.pending;this.#o=Xt(()=>o(this.#e))}else this.#k(re)}catch(o){this.error(o)}}#k(i){this.is_pending=!1,i.transfer_effects(this.#f,this.#g)}defer_effect(i){Md(i,this.#f,this.#g)}is_rendered(){return!this.is_pending&&(!this.parent||this.parent.is_rendered())}has_pending_snippet(){return!!this.#i.pending}#p(i){var o=de,n=ve,s=Me;di(this.#n),li(this.#n),jn(this.#n.ctx);try{return to.ensure(),i()}catch(a){return zd(a),null}finally{di(o),li(n),jn(s)}}#x(i,o){if(!this.has_pending_snippet()){this.parent&&this.parent.#x(i,o);return}this.#d+=i,this.#d===0&&(this.#k(o),this.#o&&Jo(this.#o,()=>{this.#o=null}),this.#a&&(this.#e.before(this.#a),this.#a=null))}update_pending_count(i,o){this.#x(i,o),this.#_+=i,!(!this.#u||this.#c)&&(this.#c=!0,Ii(()=>{this.#c=!1,this.#u&&Rn(this.#u,this.#_)}))}get_effect_pending(){return this.#v(),e(this.#u)}error(i){if(!this.#i.onerror&&!this.#i.failed)throw i;re?.is_fork?(this.#s&&re.skip_effect(this.#s),this.#o&&re.skip_effect(this.#o),this.#r&&re.skip_effect(this.#r),re.oncommit(()=>{this.#$(i)})):this.#$(i)}#$(i){this.#s&&(Vt(this.#s),this.#s=null),this.#o&&(Vt(this.#o),this.#o=null),this.#r&&(Vt(this.#r),this.#r=null),ae&&(lt(this.#t),va(),lt(vs()));let o=this.#i.failed;const n=s=>{const{reset:a,invoke_onerror:l}=this.#b(s);l(),o&&(this.#r=this.#p(()=>{try{return Xt(()=>{var d=de;d.b=this,d.f|=yr,o(this.#e,()=>s,()=>a)})}catch(d){return So(d,this.#n.parent),null}}))};Ii(()=>{var s;try{s=this.transform_error(i)}catch(a){So(a,this.#n&&this.#n.parent);return}s!==null&&typeof s=="object"&&typeof s.then=="function"?s.then(n,a=>So(a,this.#n&&this.#n.parent)):n(s)})}}function hm(t,i,o,n){const s=ys()?Mn:eo;var a=t.filter(G=>!G.settled),l=i.map(s);if(o.length===0&&a.length===0){n(l);return}var d=de,m=vm(),h=a.length===1?a[0].promise:a.length>1?Promise.all(a.map(G=>G.promise)):null;function w(G){if((d.f&Wt)===0){m();try{n([...l,...G])}catch(F){So(F,d)}wa()}}var S=Rd();if(o.length===0){h.then(()=>w([])).finally(S);return}function T(){Promise.all(o.map(G=>ym(G))).then(w).catch(G=>So(G,d)).finally(S)}h?h.then(()=>{m(),T(),wa()}):T()}function vm(){var t=de,i=ve,o=Me,n=re;return function(a=!0){di(t),li(i),jn(o),a&&(t.f&Wt)===0&&(n?.activate(),n?.apply())}}function wa(t=!0){di(null),li(null),jn(null),t&&re?.deactivate()}function Rd(){var t=de,i=t.b,o=re,n=!!i?.is_rendered();return i?.update_pending_count(1,o),o.increment(n,t),()=>{i?.update_pending_count(-1,o),o.decrement(n,t)}}function Mn(t){var i=rt|et;return de!==null&&(de.f|=Sn),{ctx:Me,deps:null,effects:null,equals:Td,f:i,fn:t,reactions:null,rv:0,v:ot,wv:0,parent:de,ac:null}}const bs=Symbol("obsolete");function ym(t,i,o){let n=de;n===null&&Cf();var s=void 0,a=Qo(ot),l=!ve,d=new Set;return jm(()=>{var m=de,h=hd();s=h.promise;try{Promise.resolve(t()).then(h.resolve,G=>{G!==_s&&h.reject(G)}).finally(wa)}catch(G){h.reject(G),wa()}var w=re;if(l){if((m.f&Po)!==0)var S=Rd();if(n.b?.is_rendered())w.async_deriveds.get(m)?.reject(bs);else for(const G of d.values())G.reject(bs);d.add(h),w.async_deriveds.set(m,h)}const T=(G,F=void 0)=>{S?.(),d.delete(h),F!==bs&&(w.activate(),F?(a.f|=$o,Rn(a,F)):((a.f&$o)!==0&&(a.f^=$o),Rn(a,G)),w.deactivate())};h.promise.then(T,G=>T(null,G||"unknown"))}),Pr(()=>{for(const m of d)m.reject(bs)}),new Promise(m=>{function h(w){function S(){w===s?m(a):h(s)}w.then(S,S)}h(s)})}function ki(t){const i=Mn(t);return rc(i),i}function eo(t){const i=Mn(t);return i.equals=Fd,i}function bm(t){var i=t.effects;if(i!==null){t.effects=null;for(var o=0;o<i.length;o+=1)Vt(i[o])}}function zr(t){var i,o=de,n=t.parent;if(!so&&n!==null&&t.v!==ot&&(n.f&(Wt|zt))!==0)return sm(),t.v;di(n);try{t.f&=~Lo,bm(t),i=fc(t)}finally{di(o)}return i}function Ed(t){var i=zr(t);if(!t.equals(i)&&(t.wv=cc(),(!re?.is_fork||t.deps===null)&&(re!==null?(re.capture(t,i,!0),Mr?.capture(t,i,!0)):t.v=i,t.deps===null))){Ie(t,Ye);return}so||(wi!==null?(Ir()||re?.is_fork)&&wi.set(t,i):qr(t))}function km(t){if(t.effects!==null)for(const i of t.effects)(i.teardown||i.ac)&&(i.teardown?.(),i.ac!==null&&Un(()=>{i.ac.abort(_s),i.ac=null}),i.fn!==null&&(i.teardown=pa),xs(i,0),Or(i))}function Bd(t){if(t.effects!==null)for(const i of t.effects)i.teardown&&i.fn!==null&&Xo(i)}let Ur=null,An=null,re=null,Mr=null,wi=null,Ar=null,ks=!1,Cr=!1,Cn=null,xa=null;var Dd=0,hy=new Set;let wm=1;class to{id=wm++;#e=!1;linked=!0;#t=null;#i=null;async_deriveds=new Map;current=new Map;previous=new Map;#l=new Set;#n=new Set;#s=0;#o=new Map;#r=null;#a=[];#_=[];#d=new Set;#c=new Set;#f=new Map;#g=new Set;is_fork=!1;#u=!1;constructor(){An===null?Ur=An=this:(An.#i=this,this.#t=An),An=this}#v(){if(this.is_fork)return!0;for(const n of this.#o.keys()){for(var i=n,o=!1;i.parent!==null;){if(this.#f.has(i)){o=!0;break}i=i.parent}if(!o)return!0}return!1}skip_effect(i){this.#f.has(i)||this.#f.set(i,{d:[],m:[]}),this.#g.delete(i)}unskip_effect(i,o=n=>this.schedule(n)){var n=this.#f.get(i);if(n){this.#f.delete(i);for(var s of n.d)Ie(s,et),o(s);for(s of n.m)Ie(s,ai),o(s)}this.#g.add(i)}#h(){this.#e=!0,Dd++>1e3&&(this.#p(),xm());for(const m of this.#d)this.#c.delete(m),Ie(m,et),this.schedule(m);for(const m of this.#c)Ie(m,ai),this.schedule(m);const i=this.#a;this.#a=[],this.apply();var o=Cn=[],n=[],s=xa=[];for(const m of i)try{this.#y(m,o,n)}catch(h){throw Od(m),this.#v()||this.discard(),h}if(re=null,s.length>0){var a=to.ensure();for(const m of s)a.schedule(m)}if(Cn=null,xa=null,this.#v()){this.#m(n),this.#m(o);for(const[m,h]of this.#f)Ld(m,h);s.length>0&&re.#h();return}const l=this.#b();if(l){this.#m(n),this.#m(o),l.#w(this);return}this.#d.clear(),this.#c.clear();for(const m of this.#l)m(this);this.#l.clear(),Mr=this,Id(n),Id(o),Mr=null,this.#r?.resolve();var d=re;if(this.#s===0&&(this.#a.length===0||d!==null)&&this.#p(),this.#a.length>0)if(d!==null){const m=d;m.#a.push(...this.#a.filter(h=>!m.#a.includes(h)))}else d=this;d!==null&&d.#h()}#y(i,o,n){i.f^=Ye;for(var s=i.first;s!==null;){var a=s.f,l=(a&(ni|Zi))!==0,d=l&&(a&Ye)!==0,m=d||(a&zt)!==0||this.#f.has(s);if(!m&&s.fn!==null){l?s.f^=Ye:(a&$n)!==0?o.push(s):Vn(s)&&((a&bi)!==0&&this.#c.add(s),Xo(s));var h=s.first;if(h!==null){s=h;continue}}for(;s!==null;){var w=s.next;if(w!==null){s=w;break}s=s.parent}}}#b(){for(var i=this.#t;i!==null;){if(!i.is_fork){for(const[o,[,n]]of this.current)if(i.current.has(o)&&!n)return i}i=i.#t}return null}#w(i){for(const[n,s]of i.current)!this.previous.has(n)&&i.previous.has(n)&&this.previous.set(n,i.previous.get(n)),this.current.set(n,s);for(const[n,s]of i.async_deriveds){const a=this.async_deriveds.get(n);a&&s.promise.then(a.resolve).catch(a.reject)}i.async_deriveds.clear(),this.transfer_effects(i.#d,i.#c);const o=n=>{var s=n.reactions;if(s!==null&&!((n.f&rt)!==0&&(n.f&(et|ai))===0))for(const d of s){var a=d.f;if((a&rt)!==0)o(d);else{var l=d;a&(Gn|bi)&&!this.async_deriveds.has(l)&&(this.#c.delete(l),Ie(l,et),this.schedule(l))}}};for(const n of this.current.keys())o(n);this.oncommit(()=>i.discard()),i.#p(),re=this,this.#h()}#m(i){for(var o=0;o<i.length;o+=1)Md(i[o],this.#d,this.#c)}capture(i,o,n=!1){i.v!==ot&&!this.previous.has(i)&&this.previous.set(i,i.v),(i.f&$o)===0&&(this.current.set(i,[o,n]),wi?.set(i,o)),this.is_fork||(i.v=o)}activate(){re=this}deactivate(){re=null,wi=null}flush(){try{Cr=!0,re=this,this.#h()}finally{Dd=0,Ar=null,Cn=null,xa=null,Cr=!1,re=null,wi=null,Ho.clear()}}discard(){for(const i of this.#n)i(this);this.#n.clear();for(const i of this.async_deriveds.values())i.reject(bs);this.#p(),this.#r?.resolve()}register_created_effect(i){this.#_.push(i)}#k(){for(let S=Ur;S!==null;S=S.#i){var i=S.id<this.id,o=[];for(const[T,[G,F]]of this.current){if(S.current.has(T)){var n=S.current.get(T)[0];if(i&&G!==n)S.current.set(T,[G,F]);else continue}o.push(T)}if(i)for(const[T,G]of this.async_deriveds){const F=S.async_deriveds.get(T);F&&G.promise.then(F.resolve).catch(F.reject)}var s=[...S.current.keys()].filter(T=>!S.current.get(T)[1]);if(!(!S.#e||s.length===0)){var a=s.filter(T=>!this.current.has(T));if(a.length===0)i&&S.discard();else if(o.length>0){if(i)for(const T of this.#g)S.unskip_effect(T,G=>{(G.f&(bi|Gn))!==0?S.schedule(G):S.#m([G])});S.activate();var l=new Set,d=new Map;for(var m of o)Pd(m,a,l,d);d=new Map;var h=[...S.current].filter(([T,G])=>{const F=this.current.get(T);return F?F[0]!==G[0]||F[1]!==G[1]:!0}).map(([T])=>T);if(h.length>0)for(const T of this.#_)(T.f&(Wt|zt|_a))===0&&Rr(T,h,d)&&((T.f&(Gn|bi))!==0?(Ie(T,et),S.schedule(T)):S.#d.add(T));if(S.#a.length>0&&!S.#u){S.apply();for(var w of S.#a)S.#y(w,[],[]);S.#a=[]}S.deactivate()}}}}increment(i,o){if(this.#s+=1,i){let n=this.#o.get(o)??0;this.#o.set(o,n+1)}}decrement(i,o){if(this.#s-=1,i){let n=this.#o.get(o)??0;n===1?this.#o.delete(o):this.#o.set(o,n-1)}this.#u||(this.#u=!0,Ii(()=>{this.#u=!1,this.linked&&this.flush()}))}transfer_effects(i,o){for(const n of i)this.#d.add(n);for(const n of o)this.#c.add(n);i.clear(),o.clear()}oncommit(i){this.#l.add(i)}ondiscard(i){this.#n.add(i)}settled(){return(this.#r??=hd()).promise}static ensure(){if(re===null){const i=re=new to;!Cr&&!ks&&Ii(()=>{i.#e||i.flush()})}return re}apply(){{wi=null;return}}schedule(i){if(Ar=i,i.b?.is_pending&&(i.f&($n|ms|vd))!==0&&(i.f&Po)===0){i.b.defer_effect(i);return}for(var o=i;o.parent!==null;){o=o.parent;var n=o.f;if(Cn!==null&&o===de&&(ve===null||(ve.f&rt)===0))return;if((n&(Zi|ni))!==0){if((n&Ye)===0)return;o.f^=Ye}}this.#a.push(o)}#p(){if(this.linked){var i=this.#t,o=this.#i;i===null?Ur=o:i.#i=o,o===null?An=i:o.#t=i,this.linked=!1}}}function Vd(t){var i=ks;ks=!0;try{for(var o;;){if(cm(),re===null)return o;re.flush()}}finally{ks=i}}function xm(){try{Vf()}catch(t){So(t,Ar)}}let io=null;function Id(t){var i=t.length;if(i!==0){for(var o=0;o<i;){var n=t[o++];if((n.f&(Wt|zt))===0&&Vn(n)&&(io=new Set,Xo(n),n.deps===null&&n.first===null&&n.nodes===null&&n.teardown===null&&n.ac===null&&oc(n),io?.size>0)){Ho.clear();for(const s of io){if((s.f&(Wt|zt))!==0)continue;const a=[s];let l=s.parent;for(;l!==null;)io.has(l)&&(io.delete(l),a.push(l)),l=l.parent;for(let d=a.length-1;d>=0;d--){const m=a[d];(m.f&(Wt|zt))===0&&Xo(m)}}io.clear()}}io=null}}function Pd(t,i,o,n){if(!o.has(t)&&(o.add(t),t.reactions!==null))for(const s of t.reactions){const a=s.f;(a&rt)!==0?Pd(s,i,o,n):(a&(Gn|bi))!==0&&(a&et)===0&&Rr(s,i,n)&&(Ie(s,et),Er(s))}}function Rr(t,i,o){const n=o.get(t);if(n!==void 0)return n;if(t.deps!==null)for(const s of t.deps){if(fa.call(i,s))return!0;if((s.f&rt)!==0&&Rr(s,i,o))return o.set(s,!0),!0}return o.set(t,!1),!1}function Er(t){re.schedule(t)}function Ld(t,i){if(!((t.f&ni)!==0&&(t.f&Ye)!==0)){(t.f&et)!==0?i.d.push(t):(t.f&ai)!==0&&i.m.push(t),Ie(t,Ye);for(var o=t.first;o!==null;)Ld(o,i),o=o.next}}function Od(t){Ie(t,Ye);for(var i=t.first;i!==null;)Od(i),i=i.next}let $a=new Set;const Ho=new Map;let Nd=!1;function Qo(t,i){var o={f:0,v:t,reactions:null,equals:Td,rv:0,wv:0};return o}function We(t,i){const o=Qo(t);return rc(o),o}function C(t,i=!1,o=!0){const n=Qo(t);return i||(n.equals=Fd),Fn&&o&&Me!==null&&Me.l!==null&&(Me.l.s??=[]).push(n),n}function oo(t,i){return f(t,p(()=>e(t))),i}function f(t,i,o=!1){ve!==null&&(!xi||(ve.f&_a)!==0)&&ys()&&(ve.f&(rt|bi|Gn|_a))!==0&&(Li===null||!Li.has(t))&&Nf();let n=o?En(i):i;return Rn(t,n,xa)}function Rn(t,i,o=null){if(!t.equals(i)){Ho.set(t,so?i:t.v);var n=to.ensure();if(n.capture(t,i),(t.f&rt)!==0){const s=t;(t.f&et)!==0&&zr(s),wi===null&&qr(s)}t.wv=cc(),Hd(t,et,o),ys()&&de!==null&&(de.f&Ye)!==0&&(de.f&(ni|Zi))===0&&(ci===null?Mm([t]):ci.push(t)),!n.is_fork&&$a.size>0&&!Nd&&$m()}return i}function $m(){Nd=!1;for(const t of $a){(t.f&Ye)!==0&&Ie(t,ai);let i;try{i=Vn(t)}catch{i=!0}i&&Xo(t)}$a.clear()}function ws(t){f(t,t.v+1)}function Hd(t,i,o){var n=t.reactions;if(n!==null)for(var s=ys(),a=n.length,l=0;l<a;l++){var d=n[l],m=d.f;if(!(!s&&d===de)){var h=(m&et)===0;if(h&&Ie(d,i),(m&_a)!==0)$a.add(d);else if((m&rt)!==0){var w=d;wi?.delete(w),(m&Lo)===0&&(m&si&&(de===null||(de.f&ga)===0)&&(d.f|=Lo),Hd(w,ai,o))}else if(h){var S=d;(m&bi)!==0&&io!==null&&io.add(S),o!==null?o.push(S):Er(S)}}}}function En(t){if(typeof t!="object"||t===null||Yi in t)return t;const i=hr(t);if(i!==jf&&i!==zf)return t;var o=new Map,n=gr(t),s=We(0),a=Ko,l=d=>{if(Ko===a)return d();var m=ve,h=Ko;li(null),dc(a);var w=d();return li(m),dc(h),w};return n&&o.set("length",We(t.length)),new Proxy(t,{defineProperty(d,m,h){(!("value"in h)||h.configurable===!1||h.enumerable===!1||h.writable===!1)&&Lf();var w=o.get(m);return w===void 0?l(()=>{var S=We(h.value);return o.set(m,S),S}):f(w,h.value,!0),!0},deleteProperty(d,m){var h=o.get(m);if(h===void 0){if(m in d){const w=l(()=>We(ot));o.set(m,w),ws(s)}}else f(h,ot),ws(s);return!0},get(d,m,h){if(m===Yi)return t;var w=o.get(m),S=m in d;if(w===void 0&&(!S||xn(d,m)?.writable)&&(w=l(()=>{var G=En(S?d[m]:ot),F=We(G);return F}),o.set(m,w)),w!==void 0){var T=e(w);return T===ot?void 0:T}return Reflect.get(d,m,h)},getOwnPropertyDescriptor(d,m){var h=Reflect.getOwnPropertyDescriptor(d,m);if(h&&"value"in h){var w=o.get(m);w&&(h.value=e(w))}else if(h===void 0){var S=o.get(m),T=S?.v;if(S!==void 0&&T!==ot)return{enumerable:!0,configurable:!0,value:T,writable:!0}}return h},has(d,m){if(m===Yi)return!0;var h=o.get(m),w=h!==void 0&&h.v!==ot||Reflect.has(d,m);if(h!==void 0||de!==null&&(!w||xn(d,m)?.writable)){h===void 0&&(h=l(()=>{var T=w?En(d[m]):ot,G=We(T);return G}),o.set(m,h));var S=e(h);if(S===ot)return!1}return w},set(d,m,h,w){var S=o.get(m),T=m in d;if(n&&m==="length")for(var G=h;G<S.v;G+=1){var F=o.get(G+"");F!==void 0?f(F,ot):G in d&&(F=l(()=>We(ot)),o.set(G+"",F))}if(S===void 0)(!T||xn(d,m)?.writable)&&(S=l(()=>We(void 0)),f(S,En(h)),o.set(m,S));else{T=S.v!==ot;var U=l(()=>En(h));f(S,U)}var j=Reflect.getOwnPropertyDescriptor(d,m);if(j?.set&&j.set.call(w,h),!T){if(n&&typeof m=="string"){var x=o.get("length"),y=Number(m);Number.isInteger(y)&&y>=x.v&&f(x,y+1)}ws(s)}return!0},ownKeys(d){e(s);var m=Reflect.ownKeys(d).filter(S=>{var T=o.get(S);return T===void 0||T.v!==ot});for(var[h,w]of o)w.v!==ot&&!(h in d)&&m.push(h);return m},setPrototypeOf(){Of()}})}function Qd(t){try{if(t!==null&&typeof t=="object"&&Yi in t)return t[Yi]}catch{}return t}function Sm(t,i){return Object.is(Qd(t),Qd(i))}var Br,Jd,Wd,Kd,Xd;function Dr(){if(Br===void 0){Br=window,Jd=document,Wd=/Firefox/.test(navigator.userAgent);var t=Element.prototype,i=Node.prototype,o=Text.prototype;Kd=xn(i,"firstChild").get,Xd=xn(i,"nextSibling").get,gd(t)&&(t[kr]=void 0,t[wd]=null,t[wr]=void 0,t.__e=void 0),gd(o)&&(o[xr]=void 0)}}function Ut(t=""){return document.createTextNode(t)}function no(t){return Kd.call(t)}function ri(t){return Xd.call(t)}function g(t,i){if(!ae)return no(t);var o=no(he);if(o===null)o=he.appendChild(Ut());else if(i&&o.nodeType!==gs){var n=Ut();return o?.before(n),lt(n),n}return i&&Sa(o),lt(o),o}function Re(t,i=!1){if(!ae){var o=no(t);return o instanceof Comment&&o.data===""?ri(o):o}if(i){if(he?.nodeType!==gs){var n=Ut();return he?.before(n),lt(n),n}Sa(he)}return he}function b(t,i=1,o=!1){let n=ae?he:t;for(var s;i--;)s=n,n=ri(n);if(!ae)return n;if(o){if(n?.nodeType!==gs){var a=Ut();return n===null?s?.after(a):n.before(a),lt(a),a}Sa(n)}return lt(n),n}function Vr(t){t.textContent=""}function Zd(){return!1}function Gm(t,i,o){return o?document.createElement(t,{is:o}):document.createElement(t)}function Sa(t){if(t.nodeValue.length<65536)return;let i=t.nextSibling;for(;i!==null&&i.nodeType===gs;)i.remove(),t.nodeValue+=i.nodeValue,i=t.nextSibling}function Yd(t){de===null&&(ve===null&&Df(),Bf()),so&&Ef()}function Tm(t,i){var o=i.last;o===null?i.last=i.first=t:(o.next=t,t.prev=o,i.last=t)}function Pi(t,i){var o=de;o!==null&&(o.f&zt)!==0&&(t|=zt);var n={ctx:Me,deps:null,nodes:null,f:t|et|si,first:null,fn:i,last:null,next:null,parent:o,b:o&&o.b,prev:null,teardown:null,wv:0,ac:null};re?.register_created_effect(n);var s=n;if((t&$n)!==0)Cn!==null?Cn.push(n):to.ensure().schedule(n);else if(i!==null){try{Xo(n)}catch(l){throw Vt(n),l}s.deps===null&&s.teardown===null&&s.nodes===null&&s.first===s.last&&(s.f&Sn)===0&&(s=s.first,(t&bi)!==0&&(t&xo)!==0&&s!==null&&(s.f|=xo))}if(s!==null&&(s.parent=o,o!==null&&Tm(s,o),ve!==null&&(ve.f&rt)!==0&&(t&Zi)===0)){var a=ve;(a.effects??=[]).push(s)}return n}function Ir(){return ve!==null&&!xi}function Pr(t){const i=Pi(ms,null);return Ie(i,Ye),i.teardown=t,i}function Ga(t){Yd();var i=de.f,o=!ve&&(i&ni)!==0&&Me!==null&&!Me.i;if(o){var n=Me;(n.e??=[]).push(t)}else return ec(t)}function ec(t){return Pi($n|bd,t)}function tc(t){return Yd(),Pi(ms|bd,t)}function qm(t){to.ensure();const i=Pi(Zi|Sn,t);return(o={})=>new Promise(n=>{o.outro?Jo(i,()=>{Vt(i),n(void 0)}):(Vt(i),n(void 0))})}function Lr(t){return Pi($n,t)}function nt(t,i){var o=Me,n={effect:null,ran:!1,deps:t};o.l.$.push(n),n.effect=Bn(()=>{if(t(),!n.ran){n.ran=!0;var s=de;try{di(s.parent),p(i)}finally{di(s)}}})}function Fm(){var t=Me;Bn(()=>{for(var i of t.l.$){i.deps();var o=i.effect;(o.f&Ye)!==0&&o.deps!==null&&Ie(o,ai),Vn(o)&&Xo(o),i.ran=!1}})}function jm(t){return Pi(Gn|Sn,t)}function Bn(t,i=0){return Pi(ms|i,t)}function E(t,i=[],o=[],n=[]){hm(n,i,o,s=>{Pi(ms,()=>{t(...s.map(e))})})}function Dn(t,i=0){var o=Pi(bi|i,t);return o}function Xt(t){return Pi(ni|Sn,t)}function ic(t){var i=t.teardown;if(i!==null){const o=so,n=ve;ac(!0),li(null);try{i.call(null)}finally{ac(o),li(n)}}}function Or(t,i=!1){var o=t.first;for(t.first=t.last=null;o!==null;){const s=o.ac;s!==null&&Un(()=>{s.abort(_s)});var n=o.next;(o.f&Zi)!==0?o.parent=null:Vt(o,i),o=n}}function zm(t){for(var i=t.first;i!==null;){var o=i.next;(i.f&ni)===0&&Vt(i),i=o}}function Vt(t,i=!0){var o=!1;(i||(t.f&yd)!==0)&&t.nodes!==null&&t.nodes.end!==null&&(Um(t.nodes.start,t.nodes.end),o=!0),t.f|=br,Or(t,i&&!o),xs(t,0);var n=t.nodes&&t.nodes.t;if(n!==null)for(const a of n)a.stop();ic(t),t.f^=br,t.f|=Wt;var s=t.parent;s!==null&&s.first!==null&&oc(t),t.next=t.prev=t.teardown=t.ctx=t.deps=t.fn=t.nodes=t.ac=t.b=null}function Um(t,i){for(;t!==null;){var o=t===i?null:ri(t);t.remove(),t=o}}function oc(t){var i=t.parent,o=t.prev,n=t.next;o!==null&&(o.next=n),n!==null&&(n.prev=o),i!==null&&(i.first===t&&(i.first=n),i.last===t&&(i.last=o))}function Jo(t,i,o=!0){var n=[];nc(t,n,!0);var s=()=>{o&&Vt(t),i&&i()},a=n.length;if(a>0){var l=()=>--a||s();for(var d of n)d.out(l)}else s()}function nc(t,i,o){if((t.f&zt)===0){t.f^=zt;var n=t.nodes&&t.nodes.t;if(n!==null)for(const d of n)(d.is_global||o)&&i.push(d);for(var s=t.first;s!==null;){var a=s.next;if((s.f&Zi)===0){var l=(s.f&xo)!==0||(s.f&ni)!==0&&(t.f&bi)!==0;nc(s,i,l?o:!1)}s=a}}}function Ta(t){sc(t,!0)}function sc(t,i){if((t.f&zt)!==0){t.f^=zt,(t.f&Ye)===0&&(Ie(t,et),to.ensure().schedule(t));for(var o=t.first;o!==null;){var n=o.next,s=(o.f&xo)!==0||(o.f&ni)!==0;sc(o,s?i:!1),o=n}var a=t.nodes&&t.nodes.t;if(a!==null)for(const l of a)(l.is_global||i)&&l.in()}}function Nr(t,i){if(t.nodes)for(var o=t.nodes.start,n=t.nodes.end;o!==null;){var s=o===n?null:ri(o);i.append(o),o=s}}let qa=!1,so=!1;function ac(t){so=t}let ve=null,xi=!1;function li(t){ve=t}let de=null;function di(t){de=t}let Li=null;function rc(t){ve!==null&&(Li??=new Set).add(t)}let It=null,Zt=0,ci=null;function Mm(t){ci=t}let lc=1,Wo=0,Ko=Wo;function dc(t){Ko=t}function cc(){return++lc}function Vn(t){var i=t.f;if((i&et)!==0)return!0;if(i&rt&&(t.f&=~Lo),(i&ai)!==0){for(var o=t.deps,n=o.length,s=0;s<n;s++){var a=o[s];if(Vn(a)&&Ed(a),a.wv>t.wv)return!0}(i&si)!==0&&wi===null&&Ie(t,Ye)}return!1}function uc(t,i,o=!0){var n=t.reactions;if(n!==null&&!(Li!==null&&Li.has(t)))for(var s=0;s<n.length;s++){var a=n[s];(a.f&rt)!==0?uc(a,i,!1):i===a&&(o?Ie(a,et):(a.f&Ye)!==0&&Ie(a,ai),Er(a))}}function fc(t){var i=It,o=Zt,n=ci,s=ve,a=Li,l=Me,d=xi,m=Ko,h=t.f;It=null,Zt=0,ci=null,ve=(h&(ni|Zi))===0?t:null,Li=null,jn(t.ctx),xi=!1,Ko=++Wo,t.ac!==null&&(Un(()=>{t.ac.abort(_s)}),t.ac=null);try{t.f|=ga;var w=t.fn,S=w();t.f|=Po;var T=t.deps,G=re?.is_fork;if(It!==null){var F;if(G||xs(t,Zt),T!==null&&Zt>0)for(T.length=Zt+It.length,F=0;F<It.length;F++)T[Zt+F]=It[F];else t.deps=T=It;if(Ir()&&(t.f&si)!==0)for(F=Zt;F<T.length;F++)(T[F].reactions??=[]).push(t)}else!G&&T!==null&&Zt<T.length&&(xs(t,Zt),T.length=Zt);if(ys()&&ci!==null&&!xi&&T!==null&&(t.f&(rt|ai|et))===0)for(F=0;F<ci.length;F++)uc(ci[F],t);if(s!==null&&s!==t){if(Wo++,s.deps!==null)for(let U=0;U<o;U+=1)s.deps[U].rv=Wo;if(i!==null)for(const U of i)U.rv=Wo;ci!==null&&(n===null?n=ci:n.push(...ci))}return(t.f&$o)!==0&&(t.f^=$o),S}catch(U){return zd(U)}finally{t.f^=ga,It=i,Zt=o,ci=n,ve=s,Li=a,jn(l),xi=d,Ko=m}}function Am(t,i){let o=i.reactions;if(o!==null){var n=Ff.call(o,t);if(n!==-1){var s=o.length-1;s===0?o=i.reactions=null:(o[n]=o[s],o.pop())}}if(o===null&&(i.f&rt)!==0&&(It===null||!fa.call(It,i))){var a=i;(a.f&si)!==0&&(a.f^=si,a.f&=~Lo),a.v!==ot&&qr(a),a.ac!==null&&Un(()=>{a.ac.abort(_s),a.ac=null,Ie(a,et)}),km(a),xs(a,0)}}function xs(t,i){var o=t.deps;if(o!==null)for(var n=i;n<o.length;n++)Am(t,o[n])}function Xo(t){var i=t.f;if((i&Wt)===0){Ie(t,Ye);var o=de,n=qa;de=t,qa=(i&(ni|Zi))===0;try{(i&(bi|vd))!==0?zm(t):Or(t),ic(t);var s=fc(t);t.teardown=typeof s=="function"?s:null,t.wv=lc;var a;md&&lm&&(t.f&et)!==0&&t.deps}finally{qa=n,de=o}}}async function In(){await Promise.resolve(),Vd()}function Cm(){return to.ensure().settled()}function e(t){var i=t.f,o=(i&rt)!==0;if(ve!==null&&!xi){var n=de!==null&&(de.f&Wt)!==0;if(!n&&(Li===null||!Li.has(t))){var s=ve.deps;if((ve.f&ga)!==0)t.rv<Wo&&(t.rv=Wo,It===null&&s!==null&&s[Zt]===t?Zt++:It===null?It=[t]:It.push(t));else{ve.deps??=[],fa.call(ve.deps,t)||ve.deps.push(t);var a=t.reactions;a===null?t.reactions=[ve]:fa.call(a,ve)||a.push(ve)}}}if(so&&Ho.has(t))return Ho.get(t);if(o){var l=t;if(so){var d=l.v;return((l.f&Ye)===0&&l.reactions!==null||pc(l))&&(d=zr(l)),Ho.set(l,d),d}var m=(l.f&si)===0&&!xi&&ve!==null&&(qa||(ve.f&si)!==0),h=(l.f&Po)===0;Vn(l)&&(m&&(l.f|=si),Ed(l)),m&&!h&&(Bd(l),mc(l))}if(wi?.has(t))return wi.get(t);if((t.f&$o)!==0)throw t.v;return t.v}function mc(t){if(t.f|=si,t.deps!==null)for(const i of t.deps)(i.reactions??=[]).push(t),(i.f&rt)!==0&&(i.f&si)===0&&(Bd(i),mc(i))}function pc(t){if(t.v===ot)return!0;if(t.deps===null)return!1;for(const i of t.deps)if(Ho.has(i)||(i.f&rt)!==0&&pc(i))return!0;return!1}function p(t){var i=xi;try{return xi=!0,t()}finally{xi=i}}function Ke(t){if(!(typeof t!="object"||!t||t instanceof EventTarget)){if(Yi in t)Hr(t);else if(!Array.isArray(t))for(let i in t){const o=t[i];typeof o=="object"&&o&&Yi in o&&Hr(o)}}}function Hr(t,i=new Set){if(typeof t=="object"&&t!==null&&!(t instanceof EventTarget)&&!i.has(t)){i.add(t),t instanceof Date&&t.getTime();for(let n in t)try{Hr(t[n],i)}catch{}const o=hr(t);if(o!==Object.prototype&&o!==Array.prototype&&o!==Map.prototype&&o!==Set.prototype&&o!==Date.prototype){const n=_d(o);for(let s in n){const a=n[s].get;if(a)try{a.call(t)}catch{}}}}}const Rm=["touchstart","touchmove"];function Em(t){return Rm.includes(t)}const Fa=Symbol("events"),Bm=new Set,_c=new Set;function Dm(t,i,o,n={}){function s(a){if(n.capture||Qr.call(i,a),!a.cancelBubble)return Un(()=>o?.call(this,a))}return t.startsWith("pointer")||t.startsWith("touch")||t==="wheel"?Ii(()=>{i.addEventListener(t,s,n)}):i.addEventListener(t,s,n),s}function K(t,i,o,n,s){var a={capture:n,passive:s},l=Dm(t,i,o,a);(i===document.body||i===window||i===document||i instanceof HTMLMediaElement)&&Pr(()=>{i.removeEventListener(t,l,a)})}let gc=null;function Qr(t){var i=this,o=i.ownerDocument,n=t.type,s=t.composedPath?.()||[],a=s[0]||t.target;gc=t;var l=0,d=gc===t&&t[Fa];if(d){var m=s.indexOf(d);if(m!==-1&&(i===document||i===window)){t[Fa]=i;return}var h=s.indexOf(i);if(h===-1)return;m<=h&&(l=m)}if(a=s[l]||t.target,a!==i){pd(t,"currentTarget",{configurable:!0,get(){return a||o}});var w=ve,S=de;li(null),di(null);try{for(var T,G=[];a!==null&&a!==i;){try{var F=a[Fa]?.[n];F!=null&&(!a.disabled||t.target===a)&&F.call(a,t)}catch(U){T?G.push(U):T=U}if(t.cancelBubble)break;l++,a=l<s.length?s[l]:null}if(T){for(let U of G)queueMicrotask(()=>{throw U});throw T}}finally{t[Fa]=i,delete t.currentTarget,li(w),di(S)}}}const Vm=globalThis?.window?.trustedTypes&&globalThis.window.trustedTypes.createPolicy("svelte-trusted-html",{createHTML:t=>t});function Im(t){return Vm?.createHTML(t)??t}function Pm(t){var i=Gm("template");return i.innerHTML=Im(t.replaceAll("<!>","<!---->")),i.content}function Go(t,i){var o=de;o.nodes===null&&(o.nodes={start:t,end:i,a:null,t:null})}function D(t,i){var o=(i&im)!==0,n=(i&om)!==0,s,a=!t.startsWith("<!>");return()=>{if(ae)return Go(he,null),he;s===void 0&&(s=Pm(a?t:"<!>"+t),o||(s=no(s)));var l=n||Wd?document.importNode(s,!0):s.cloneNode(!0);if(o){var d=no(l),m=l.lastChild;Go(d,m)}else Go(l,l);return l}}function Lm(t=""){if(!ae){var i=Ut(t+"");return Go(i,i),i}var o=he;return o.nodeType!==gs?(o.before(o=Ut()),lt(o)):Sa(o),Go(o,o),o}function Pn(){if(ae)return Go(he,null),he;var t=document.createDocumentFragment(),i=document.createComment(""),o=Ut();return t.append(i,o),Go(i,o),t}function M(t,i){if(ae){var o=de;((o.f&Po)===0||o.nodes.end===null)&&(o.nodes.end=he),hs();return}t!==null&&t.before(i)}function k(t,i){var o=i==null?"":typeof i=="object"?`${i}`:i;o!==(t[xr]??=t.nodeValue)&&(t[xr]=o,t.nodeValue=`${o}`)}function hc(t,i){return vc(t,i)}function Om(t,i){Dr(),i.intro=i.intro??!1;const o=i.target,n=ae,s=he;try{for(var a=no(o);a&&(a.nodeType!==Tn||a.data!==$r);)a=ri(a);if(!a)throw qn;Kt(!0),lt(a);const l=vc(t,{...i,anchor:a});return Kt(!1),l}catch(l){if(l instanceof Error&&l.message.split(`
 `).some(d=>d.startsWith("https://svelte.dev/e/")))throw l;return l!==qn&&console.warn("Failed to hydrate: ",l),i.recover===!1&&If(),Dr(),Vr(o),Kt(!1),hc(t,i)}finally{Kt(n),lt(s)}}const ja=new Map;function vc(t,{target:i,anchor:o,props:n={},events:s,context:a,intro:l=!0,transformError:d}){Dr();var m=void 0,h=qm(()=>{var w=o??i.appendChild(Ut());_m(w,{pending:()=>{}},G=>{ya({});var F=Me;if(a&&(F.c=a),s&&(n.$$events=s),ae&&Go(G,null),m=t(G,n)||{},ae&&(de.nodes.end=he,he===null||he.nodeType!==Tn||he.data!==Gr))throw ha(),qn;ba()},d);var S=new Set,T=G=>{for(var F=0;F<G.length;F++){var U=G[F];if(!S.has(U)){S.add(U);var j=Em(U);for(const I of[i,document]){var x=ja.get(I);x===void 0&&(x=new Map,ja.set(I,x));var y=x.get(U);y===void 0?(I.addEventListener(U,Qr,{passive:j}),x.set(U,1)):x.set(U,y+1)}}}};return T(ma(Bm)),_c.add(T),()=>{for(var G of S)for(const j of[i,document]){var F=ja.get(j),U=F.get(G);--U==0?(j.removeEventListener(G,Qr),F.delete(G),F.size===0&&ja.delete(j)):F.set(G,U)}_c.delete(T),w!==o&&w.parentNode?.removeChild(w)}});return Jr.set(m,h),m}let Jr=new WeakMap;function Nm(t,i){const o=Jr.get(t);return o?(Jr.delete(t),o(i)):Promise.resolve()}class Wr{anchor;#e=new Map;#t=new Map;#i=new Map;#l=new Set;#n=!0;constructor(i,o=!0){this.anchor=i,this.#n=o}#s=i=>{if(this.#e.has(i)){var o=this.#e.get(i),n=this.#t.get(o);if(n)Ta(n),this.#l.delete(o);else{var s=this.#i.get(o);s&&(Ta(s.effect),this.#t.set(o,s.effect),this.#i.delete(o),s.fragment.lastChild.remove(),this.anchor.before(s.fragment),n=s.effect)}for(const[a,l]of this.#e){if(this.#e.delete(a),a===i)break;const d=this.#i.get(l);d&&(Vt(d.effect),this.#i.delete(l))}for(const[a,l]of this.#t){if(a===o||this.#l.has(a))continue;const d=()=>{if(Array.from(this.#e.values()).includes(a)){var h=document.createDocumentFragment();Nr(l,h),h.append(Ut()),this.#i.set(a,{effect:l,fragment:h})}else Vt(l);this.#l.delete(a),this.#t.delete(a)};this.#n||!n?(this.#l.add(a),Jo(l,d,!1)):d()}}};#o=i=>{this.#e.delete(i);const o=Array.from(this.#e.values());for(const[n,s]of this.#i)o.includes(n)||(Vt(s.effect),this.#i.delete(n))};ensure(i,o){var n=re,s=Zd();if(o&&!this.#t.has(i)&&!this.#i.has(i))if(s){var a=document.createDocumentFragment(),l=Ut();a.append(l),this.#i.set(i,{effect:Xt(()=>o(l)),fragment:a})}else this.#t.set(i,Xt(()=>o(this.anchor)));if(this.#e.set(n,i),s){for(const[d,m]of this.#t)d===i?n.unskip_effect(m):n.skip_effect(m);for(const[d,m]of this.#i)d===i?n.unskip_effect(m.effect):n.skip_effect(m.effect);n.oncommit(this.#s),n.ondiscard(this.#o)}else ae&&(this.anchor=he),this.#s(n)}}function Q(t,i,o=!1){var n;ae&&(n=he,hs());var s=new Wr(t),a=o?xo:0;function l(d,m){if(ae){var h=Tr(n);if(d!==parseInt(h.substring(1))){var w=vs();lt(w),s.anchor=w,Kt(!1),s.ensure(d,m),Kt(!0);return}}s.ensure(d,m)}Dn(()=>{var d=!1;i((m,h=0)=>{d=!0,l(h,m)}),d||l(-1,null)},a)}function dt(t,i){return i}function Hm(t,i,o){for(var n=[],s=i.length,a,l=i.length,d=0;d<s;d++){let S=i[d];Jo(S,()=>{if(a){if(a.pending.delete(S),a.done.add(S),a.pending.size===0){var T=t.outrogroups;Kr(t,ma(a.done)),T.delete(a),T.size===0&&(t.outrogroups=null)}}else l-=1},!1)}if(l===0){var m=n.length===0&&o!==null;if(m){var h=o,w=h.parentNode;Vr(w),w.append(h),t.items.clear()}Kr(t,i,!m)}else a={pending:new Set(i),done:new Set},(t.outrogroups??=new Set).add(a)}function Kr(t,i,o=!0){var n;if(t.pending.size>0){n=new Set;for(const l of t.pending.values())for(const d of l)n.add(t.items.get(d).e)}for(var s=0;s<i.length;s++){var a=i[s];if(n?.has(a)){a.f|=Vi;const l=document.createDocumentFragment();Nr(a,l)}else Vt(i[s],o)}}var yc;function ct(t,i,o,n,s,a=null){var l=t,d=new Map,m=(i&Sd)!==0;if(m){var h=t;l=ae?lt(no(h)):h.appendChild(Ut())}ae&&hs();var w=null,S=eo(()=>{var I=o();return gr(I)?I:I==null?[]:ma(I)}),T,G=new Map,F=!0;function U(I){(y.effect.f&Wt)===0&&(y.pending.delete(I),y.fallback=w,Qm(y,T,l,i,n),w!==null&&(T.length===0?(w.f&Vi)===0?Ta(w):(w.f^=Vi,Ss(w,null,l)):Jo(w,()=>{w=null})))}function j(I){y.pending.delete(I)}var x=Dn(()=>{T=e(S);var I=T.length;let B=!1;if(ae){var R=Tr(l)===Sr;R!==(I===0)&&(l=vs(),lt(l),Kt(!1),B=!0)}for(var ce=new Set,te=re,ze=Zd(),q=0;q<I;q+=1){ae&&he.nodeType===Tn&&he.data===Gr&&(l=he,B=!0,Kt(!1));var ye=T[q],Fe=n(ye,q),mt=F?null:d.get(Fe);mt?(mt.v&&Rn(mt.v,ye),mt.i&&Rn(mt.i,q),ze&&te.unskip_effect(mt.e)):(mt=Jm(d,F?l:yc??=Ut(),ye,Fe,q,s,i,o),F||(mt.e.f|=Vi),d.set(Fe,mt)),ce.add(Fe)}if(I===0&&a&&!w&&(F?w=Xt(()=>a(l)):(w=Xt(()=>a(yc??=Ut())),w.f|=Vi)),I>ce.size&&Rf(),ae&&I>0&&lt(vs()),!F)if(G.set(te,ce),ze){for(const[lo,Wn]of d)ce.has(lo)||te.skip_effect(Wn.e);te.oncommit(U),te.ondiscard(j)}else U(te);B&&Kt(!0),e(S)}),y={effect:x,items:d,pending:G,outrogroups:null,fallback:w};F=!1,ae&&(l=he)}function $s(t){for(;t!==null&&(t.f&ni)===0;)t=t.next;return t}function Qm(t,i,o,n,s){var a=(n&Wf)!==0,l=i.length,d=t.items,m=$s(t.effect.first),h,w=null,S,T=[],G=[],F,U,j,x;if(a)for(x=0;x<l;x+=1)F=i[x],U=s(F,x),j=d.get(U).e,(j.f&Vi)===0&&(j.nodes?.a?.measure(),(S??=new Set).add(j));for(x=0;x<l;x+=1){if(F=i[x],U=s(F,x),j=d.get(U).e,t.outrogroups!==null)for(const ye of t.outrogroups)ye.pending.delete(j),ye.done.delete(j);if((j.f&zt)!==0&&(Ta(j),a&&(j.nodes?.a?.unfix(),(S??=new Set).delete(j))),(j.f&Vi)!==0)if(j.f^=Vi,j===m)Ss(j,null,o);else{var y=w?w.next:m;j===t.effect.last&&(t.effect.last=j.prev),j.prev&&(j.prev.next=j.next),j.next&&(j.next.prev=j.prev),To(t,w,j),To(t,j,y),Ss(j,y,o),w=j,T=[],G=[],m=$s(w.next);continue}if(j!==m){if(h!==void 0&&h.has(j)){if(T.length<G.length){var I=G[0],B;w=I.prev;var R=T[0],ce=T[T.length-1];for(B=0;B<T.length;B+=1)Ss(T[B],I,o);for(B=0;B<G.length;B+=1)h.delete(G[B]);To(t,R.prev,ce.next),To(t,w,R),To(t,ce,I),m=I,w=ce,x-=1,T=[],G=[]}else h.delete(j),Ss(j,m,o),To(t,j.prev,j.next),To(t,j,w===null?t.effect.first:w.next),To(t,w,j),w=j;continue}for(T=[],G=[];m!==null&&m!==j;)(h??=new Set).add(m),G.push(m),m=$s(m.next);if(m===null)continue}(j.f&Vi)===0&&T.push(j),w=j,m=$s(j.next)}if(t.outrogroups!==null){for(const ye of t.outrogroups)ye.pending.size===0&&(Kr(t,ma(ye.done)),t.outrogroups?.delete(ye));t.outrogroups.size===0&&(t.outrogroups=null)}if(m!==null||h!==void 0){var te=[];if(h!==void 0)for(j of h)(j.f&zt)===0&&te.push(j);for(;m!==null;)(m.f&zt)===0&&m!==t.fallback&&te.push(m),m=$s(m.next);var ze=te.length;if(ze>0){var q=(n&Sd)!==0&&l===0?o:null;if(a){for(x=0;x<ze;x+=1)te[x].nodes?.a?.measure();for(x=0;x<ze;x+=1)te[x].nodes?.a?.fix()}Hm(t,te,q)}}a&&Ii(()=>{if(S!==void 0)for(j of S)j.nodes?.a?.apply()})}function Jm(t,i,o,n,s,a,l,d){var m=(l&Qf)!==0?(l&Kf)===0?C(o,!1,!1):Qo(o):null,h=(l&Jf)!==0?Qo(s):null;return{v:m,i:h,e:Xt(()=>(a(i,m??o,h??s,d),()=>{t.delete(n)}))}}function Ss(t,i,o){if(t.nodes)for(var n=t.nodes.start,s=t.nodes.end,a=i&&(i.f&Vi)===0?i.nodes.start:o;n!==null;){var l=ri(n);if(a.before(n),n===s)return;n=l}}function To(t,i,o){i===null?t.effect.first=o:i.next=o,o===null?t.effect.last=i:o.prev=i}function Wm(t,i,...o){var n=new Wr(t);Dn(()=>{const s=i()??null;n.ensure(s,s&&(a=>s(a,...o)))},xo)}function Xr(t,i,o){var n;ae&&(n=he,hs());var s=new Wr(t);Dn(()=>{var a=i()??null;if(ae){var l=Tr(n),d=l===$r,m=a!==null;if(d!==m){var h=vs();lt(h),s.anchor=h,Kt(!1),s.ensure(a,a&&(w=>o(w,a))),Kt(!0);return}}s.ensure(a,a&&(w=>o(w,a)))},xo)}function Km(t,i){let o=null,n=ae;var s;if(ae){o=he;for(var a=no(document.head);a!==null&&(a.nodeType!==Tn||a.data!==t);)a=ri(a);if(a===null)Kt(!1);else{var l=ri(a);a.remove(),lt(l)}}ae||(s=document.head.appendChild(Ut()));try{Dn(()=>{var d=Xt(()=>i(s));d.f|=yd})}finally{n&&(Kt(!0),lt(o))}}const bc=[...` 	
-\r\f \v\uFEFF`];function Xm(t,i,o){var n=t==null?"":""+t;if(i&&(n=n?n+" "+i:i),o){for(var s of Object.keys(o))if(o[s])n=n?n+" "+s:s;else if(n.length)for(var a=s.length,l=0;(l=n.indexOf(s,l))>=0;){var d=l+a;(l===0||bc.includes(n[l-1]))&&(d===n.length||bc.includes(n[d]))?n=(l===0?"":n.substring(0,l))+n.substring(d+1):l=d}}return n===""?null:n}function Zm(t,i){return t==null?null:String(t)}function yt(t,i,o,n,s,a){var l=t[kr];if(ae||l!==o||l===void 0){var d=Xm(o,n,a);(!ae||d!==t.getAttribute("class"))&&(d==null?t.removeAttribute("class"):t.className=d),t[kr]=o}else if(a&&s!==a)for(var m in a){var h=!!a[m];(s==null||h!==!!s[m])&&t.classList.toggle(m,h)}return a}function kc(t,i,o,n){var s=t[wr];if(ae||s!==i){var a=Zm(i);(!ae||a!==t.getAttribute("style"))&&(a==null?t.removeAttribute("style"):t.style.cssText=a),t[wr]=i}return n}function Ln(t,i,o=!1){if(t.multiple){if(i==null)return;if(!gr(i))return am();for(var n of t.options)n.selected=i.includes(Ts(n));return}for(n of t.options){var s=Ts(n);if(Sm(s,i)){n.selected=!0;return}}(!o||i!==void 0)&&(t.selectedIndex=-1)}function Gs(t){var i=new MutationObserver(()=>{"__value"in t&&Ln(t,t.__value)});i.observe(t,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["value"]}),Pr(()=>{i.disconnect()})}function Ym(t,i,o=i){var n=new WeakSet,s=!0;jr(t,"change",a=>{var l=a?"[selected]":":checked",d;if(t.multiple)d=[].map.call(t.querySelectorAll(l),Ts);else{var m=t.querySelector(l)??t.querySelector("option:not([disabled])");d=m&&Ts(m)}o(d),t.__value=d,re!==null&&n.add(re)}),Lr(()=>{var a=i();if(t===document.activeElement){var l=re;if(n.has(l))return}if(Ln(t,a,s),s&&a===void 0){var d=t.querySelector(":checked");d!==null&&(a=Ts(d),o(a))}t.__value=a,s=!1}),Gs(t)}function Ts(t){return"__value"in t?t.__value:t.value}const ep=Symbol("is custom element"),tp=Symbol("is html"),ip=xd?"link":"LINK",op=xd?"progress":"PROGRESS";function ui(t){if(ae){var i=!1,o=()=>{if(!i){if(i=!0,t.hasAttribute("value")){var n=t.value;X(t,"value",null),t.value=n}if(t.hasAttribute("checked")){var s=t.checked;X(t,"checked",null),t.checked=s}}};t[ps]=o,Ii(o),Cd()}}function za(t,i){var o=Zr(t);o.value===(o.value=i??void 0)||t.value===i&&(i!==0||t.nodeName!==op)||(t.value=i??"")}function wc(t,i){var o=Zr(t);o.checked!==(o.checked=i??void 0)&&(t.checked=i)}function X(t,i,o,n){var s=Zr(t);ae&&(s[i]=t.getAttribute(i),i==="src"||i==="srcset"||i==="href"&&t.nodeName===ip)||s[i]!==(s[i]=o)&&(i==="loading"&&(t[Af]=o),o==null?t.removeAttribute(i):typeof o!="string"&&np(t).includes(i)?t[i]=o:t.setAttribute(i,o))}function Zr(t){return t[wd]??={[ep]:t.nodeName.includes("-"),[tp]:t.namespaceURI===nm}}var xc=new Map;function np(t){var i=t.getAttribute("is")||t.nodeName,o=xc.get(i);if(o)return o;xc.set(i,o=[]);for(var n,s=t,a=Element.prototype;a!==s;){n=_d(s);for(var l in n)n[l].set&&l!=="innerHTML"&&l!=="textContent"&&l!=="innerText"&&o.push(l);s=hr(s)}return o}function fi(t,i,o=i){var n=new WeakSet;jr(t,"input",async s=>{var a=s?t.defaultValue:t.value;if(a=Yr(t)?el(a):a,o(a),re!==null&&n.add(re),await In(),a!==(a=i())){var l=t.selectionStart,d=t.selectionEnd,m=t.value.length;if(t.value=a??"",d!==null){var h=t.value.length;l===d&&d===m&&h>m?(t.selectionStart=h,t.selectionEnd=h):(t.selectionStart=l,t.selectionEnd=Math.min(d,h))}}}),(ae&&t.defaultValue!==t.value||p(i)==null&&t.value)&&(o(Yr(t)?el(t.value):t.value),re!==null&&n.add(re)),Bn(()=>{var s=i();if(t===document.activeElement){var a=re;if(n.has(a))return}Yr(t)&&s===el(t.value)||t.type==="date"&&!s&&!t.value||s!==t.value&&(t.value=s??"")})}function sp(t,i,o=i){jr(t,"change",n=>{var s=n?t.defaultChecked:t.checked;o(s)}),(ae&&t.defaultChecked!==t.checked||p(i)==null)&&o(t.checked),Bn(()=>{var n=i();t.checked=!!n})}function Yr(t){var i=t.type;return i==="number"||i==="range"}function el(t){return t===""?null:+t}function tl(t,i){return t===i||t?.[Yi]===i}function qs(t={},i,o,n){var s=Me.r,a=de;return Lr(()=>{var l,d;return Bn(()=>{l=d,d=[],p(()=>{tl(o(...d),t)||(i(t,...d),l&&tl(o(...l),t)&&i(null,...l))})}),()=>{let m=a;for(;m!==s&&m.parent!==null&&m.parent.f&br;)m=m.parent;const h=()=>{d&&tl(o(...d),t)&&i(null,...d)},w=m.teardown;m.teardown=()=>{h(),w?.()}}}),t}function ap(t=!1){const i=Me,o=i.l.u;if(!o)return;let n=()=>Ke(i.s);if(t){let s=0,a={};const l=Mn(()=>{let d=!1;const m=i.s;for(const h in m)m[h]!==a[h]&&(a[h]=m[h],d=!0);return d&&s++,s});n=()=>e(l)}o.b.length&&tc(()=>{$c(i,n),vr(o.b)}),Ga(()=>{const s=p(()=>o.m.map(Uf));return()=>{for(const a of s)typeof a=="function"&&a()}}),o.a.length&&Ga(()=>{$c(i,n),vr(o.a)})}function $c(t,i){if(t.l.s)for(const o of t.l.s)e(o);i()}function il(t,i,o,n){var s=!Fn||(o&Zf)!==0,a=(o&em)!==0,l=(o&tm)!==0,d=n,m=!0,h=void 0,w=()=>l&&s?(h??=Mn(n),e(h)):(m&&(m=!1,d=l?p(n):n),d);let S;if(a){var T=Yi in t||kd in t;S=xn(t,i)?.set??(T&&i in t?B=>t[i]=B:void 0)}var G,F=!1;a?[G,F]=fm(()=>t[i]):G=t[i],G===void 0&&n!==void 0&&(G=w(),S&&(s&&Pf(),S(G)));var U;if(s?U=()=>{var B=t[i];return B===void 0?w():(m=!0,B)}:U=()=>{var B=t[i];return B!==void 0&&(d=void 0),B===void 0?d:B},s&&(o&Yf)===0)return U;if(S){var j=t.$$legacy;return(function(B,R){return arguments.length>0?((!s||!R||j||F)&&S(R?U():B),B):U()})}var x=!1,y=((o&Xf)!==0?Mn:eo)(()=>(x=!1,U()));a&&e(y);var I=de;return(function(B,R){if(arguments.length>0){const ce=R?e(y):s&&a?En(B):B;return f(y,ce),x=!0,d!==void 0&&(d=ce),B}return so&&x||(I.f&Wt)!==0?y.v:e(y)})}function rp(t){return class extends lp{constructor(i){super({component:t,...i})}}}class lp{#e;#t;constructor(i){var o=new Map,n=(a,l)=>{var d=C(l,!1,!1);return o.set(a,d),d};const s=new Proxy({...i.props||{},$$events:{}},{get(a,l){return e(o.get(l)??n(l,Reflect.get(a,l)))},has(a,l){return l===kd?!0:(e(o.get(l)??n(l,Reflect.get(a,l))),Reflect.has(a,l))},set(a,l,d){return f(o.get(l)??n(l,d),d),Reflect.set(a,l,d)}});this.#t=(i.hydrate?Om:hc)(i.component,{target:i.target,anchor:i.anchor,props:s,context:i.context,intro:i.intro??!1,recover:i.recover,transformError:i.transformError}),(!i?.props?.$$host||i.sync===!1)&&Vd(),this.#e=s.$$events;for(const a of Object.keys(this.#t))a==="$set"||a==="$destroy"||a==="$on"||pd(this,a,{get(){return this.#t[a]},set(l){this.#t[a]=l},enumerable:!0});this.#t.$set=a=>{Object.assign(s,a)},this.#t.$destroy=()=>{Nm(this.#t)}}$set(i){this.#t.$set(i)}$on(i,o){this.#e[i]=this.#e[i]||[];const n=(...s)=>o.call(this,...s);return this.#e[i].push(n),()=>{this.#e[i]=this.#e[i].filter(s=>s!==n)}}$destroy(){this.#t.$destroy()}}function Fs(t){Me===null&&$d(),Fn&&Me.l!==null?cp(Me).m.push(t):Ga(()=>{const i=p(t);if(typeof i=="function")return i})}function dp(t){Me===null&&$d(),Fs(()=>()=>p(t))}function cp(t){var i=t.l;return i.u??={a:[],b:[],m:[]}}class ol{constructor(i,o){this.status=i,typeof o=="string"?this.body={message:o}:o?this.body=o:this.body={message:`Error: ${i}`}}toString(){return JSON.stringify(this.body)}}class nl{constructor(i,o){try{new Headers({location:o})}catch{throw new Error(`Invalid redirect location ${JSON.stringify(o)}: this string contains characters that cannot be used in HTTP headers`)}this.status=i,this.location=o}}class sl extends Error{constructor(i,o,n){super(n),this.status=i,this.text=o}}new URL("sveltekit-internal://");function up(t,i){return t==="/"||i==="ignore"?t:i==="never"?t.endsWith("/")?t.slice(0,-1):t:i==="always"&&!t.endsWith("/")?t+"/":t}function fp(t){return t.split("%25").map(decodeURI).join("%25")}function mp(t){for(const i in t)t[i]=decodeURIComponent(t[i]);return t}function al({href:t}){return t.split("#")[0]}function qo(){}function pp(...t){let i=5381;for(const o of t)if(typeof o=="string"){let n=o.length;for(;n;)i=i*33^o.charCodeAt(--n)}else if(ArrayBuffer.isView(o)){const n=new Uint8Array(o.buffer,o.byteOffset,o.byteLength);let s=n.length;for(;s;)i=i*33^n[--s]}else throw new TypeError("value must be a string or TypedArray");return(i>>>0).toString(36)}new TextEncoder;function _p(t){const i=atob(t),o=new Uint8Array(i.length);for(let n=0;n<i.length;n++)o[n]=i.charCodeAt(n);return o}const gp=window.fetch;window.fetch=(t,i)=>((t instanceof Request?t.method:i?.method||"GET")!=="GET"&&js.delete(rl(t)),gp(t,i));const js=new Map;function hp(t,i){const o=rl(t,i),n=document.querySelector(o);if(n?.textContent){n.remove();let{body:s,...a}=JSON.parse(n.textContent);n.getAttribute("data-b64")!==null&&(s=_p(s));const d=n.getAttribute("data-ttl");return d&&js.set(o,{body:s,init:a,ttl:1e3*Number(d)}),Promise.resolve(new Response(s,a))}return window.fetch(t,i)}function vp(t,i,o){if(js.size>0){const n=rl(t,o),s=js.get(n);if(s){if(performance.now()<s.ttl&&["default","force-cache","only-if-cached",void 0].includes(o?.cache))return new Response(s.body,s.init);js.delete(n)}}return window.fetch(i,o)}function rl(t,i){let n=`script[data-sveltekit-fetched][data-url=${JSON.stringify(t instanceof Request?t.url:t)}]`;if(i?.headers||i?.body){const s=[];i.headers&&s.push([...new Headers(i.headers)].join(",")),i.body&&(typeof i.body=="string"||ArrayBuffer.isView(i.body))&&s.push(i.body),n+=`[data-hash="${pp(...s)}"]`}return n}const yp=/^(\[)?(\.\.\.)?(\w+)(?:=(\w+))?(\])?$/,bp=/^\/\((?:[^)]+)\)$/;function kp(t){const i=[];return{pattern:t==="/"||bp.test(t)?/^\/$/:new RegExp(`^${xp(t).map(n=>{const s=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(n);if(s)return i.push({name:s[1],matcher:s[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const a=/^\[\[(\w+)(?:=(\w+))?\]\]$/.exec(n);if(a)return i.push({name:a[1],matcher:a[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!n)return;const l=n.split(/\[(.+?)\](?!\])/);return"/"+l.map((m,h)=>{if(h%2){if(m.startsWith("x+"))return ll(String.fromCharCode(parseInt(m.slice(2),16)));if(m.startsWith("u+"))return ll(String.fromCharCode(...m.slice(2).split("-").map(U=>parseInt(U,16))));const w=yp.exec(m),[,S,T,G,F]=w;return i.push({name:G,matcher:F,optional:!!S,rest:!!T,chained:T?h===1&&l[0]==="":!1}),T?"([^]*?)":S?"([^/]*)?":"([^/]+?)"}return ll(m)}).join("")}).join("")}/?$`),params:i}}function wp(t){return t!==""&&!/^\([^)]+\)$/.test(t)}function xp(t){return t.slice(1).split("/").filter(wp)}function $p(t,i,o){const n={},s=t.slice(1),a=s.filter(d=>d!==void 0);let l=0;for(let d=0;d<i.length;d+=1){const m=i[d];let h=s[d-l];if(m.chained&&m.rest&&l&&(h=s.slice(d-l,d+1).filter(w=>w).join("/"),l=0),h===void 0)if(m.rest)h="";else continue;if(!m.matcher||o[m.matcher](h)){n[m.name]=h;const w=i[d+1],S=s[d+1];w&&!w.rest&&w.optional&&S&&m.chained&&(l=0),!w&&!S&&Object.keys(n).length===a.length&&(l=0);continue}if(m.optional&&m.chained){l++;continue}return}if(!l)return n}function ll(t){return t.normalize().replace(/[[\]]/g,"\\$&").replace(/%/g,"%25").replace(/\//g,"%2[Ff]").replace(/\?/g,"%3[Ff]").replace(/#/g,"%23").replace(/[.*+?^${}()|\\]/g,"\\$&")}function Sp({nodes:t,server_loads:i,dictionary:o,matchers:n}){const s=new Set(i);return Object.entries(o).map(([d,[m,h,w]])=>{const{pattern:S,params:T}=kp(d),G={id:d,exec:F=>{const U=S.exec(F);if(U)return $p(U,T,n)},errors:[1,...w||[]].map(F=>t[F]),layouts:[0,...h||[]].map(l),leaf:a(m)};return G.errors.length=G.layouts.length=Math.max(G.errors.length,G.layouts.length),G});function a(d){const m=d<0;return m&&(d=~d),[m,t[d]]}function l(d){return d===void 0?d:[s.has(d),t[d]]}}function Sc(t,i=JSON.parse){try{return i(sessionStorage[t])}catch{}}function Gc(t,i,o=JSON.stringify){const n=o(i);try{sessionStorage[t]=n}catch{}}const mi=globalThis.__sveltekit_1effenk?.base??"",Gp=globalThis.__sveltekit_1effenk?.assets??mi??"",Tp="1786912692875",Tc="sveltekit:snapshot",qc="sveltekit:scroll",Fc="sveltekit:states",qp="sveltekit:pageurl",On="sveltekit:history",zs="sveltekit:navigation",Zo={tap:1,hover:2,viewport:3,eager:4,off:-1,false:-1},dl=location.origin;function jc(t){if(t instanceof URL)return t;let i=document.baseURI;if(!i){const o=document.getElementsByTagName("base");i=o.length?o[0].href:document.URL}return new URL(t,i)}function Yo(){return{x:pageXOffset,y:pageYOffset}}function Nn(t,i){return t.getAttribute(`data-sveltekit-${i}`)}const zc={...Zo,"":Zo.hover};function Uc(t){let i=t.assignedSlot??t.parentNode;return i?.nodeType===11&&(i=i.host),i}function Mc(t,i){for(;t&&t!==i;){if(t.nodeName.toUpperCase()==="A"&&t.hasAttribute("href"))return t;t=Uc(t)}}function cl(t,i,o){let n;try{if(n=new URL(t instanceof SVGAElement?t.href.baseVal:t.href,document.baseURI),o&&n.hash.match(/^#[^/]/)){const d=location.hash.split("#")[1]||"/";n.hash=`#${d}${n.hash}`}}catch{}const s=t instanceof SVGAElement?t.target.baseVal:t.target,a=!n||!!s||Ma(n,i,o)||(t.getAttribute("rel")||"").split(/\s+/).includes("external"),l=n?.origin===dl&&t.hasAttribute("download");return{url:n,external:a,target:s,download:l}}function Ua(t){let i=null,o=null,n=null,s=null,a=null,l=null,d=t;for(;d&&d!==document.documentElement;)n===null&&(n=Nn(d,"preload-code")),s===null&&(s=Nn(d,"preload-data")),i===null&&(i=Nn(d,"keepfocus")),o===null&&(o=Nn(d,"noscroll")),a===null&&(a=Nn(d,"reload")),l===null&&(l=Nn(d,"replacestate")),d=Uc(d);function m(h){switch(h){case"":case"true":return!0;case"off":case"false":return!1;default:return}}return{preload_code:zc[n??"off"],preload_data:zc[s??"off"],keepfocus:m(i),noscroll:m(o),reload:m(a),replace_state:m(l)}}function Ac(t){const i=Fr(t);let o=!0;function n(){o=!0,i.update(l=>l)}function s(l){o=!1,i.set(l)}function a(l){let d;return i.subscribe(m=>{(d===void 0||o&&m!==d)&&l(d=m)})}return{notify:n,set:s,subscribe:a}}const Cc={v:qo};function Fp(){const{set:t,subscribe:i}=Fr(!1);let o;async function n(){clearTimeout(o);try{const s=await fetch(`${Gp}/_app/version.json`,{headers:{pragma:"no-cache","cache-control":"no-cache"}});if(!s.ok)return!1;const l=(await s.json()).version!==Tp;return l&&(t(!0),Cc.v(),clearTimeout(o)),l}catch{return!1}}return{subscribe:i,check:n}}function Ma(t,i,o){return t.origin!==dl||!t.pathname.startsWith(i)?!0:o?t.pathname!==location.pathname:!1}const Rc=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...Rc];const jp=new Set([...Rc]);[...jp];function zp(t){return t.filter(i=>i!=null)}function Aa(t,i){return t+"/"+i}function ul(t){return t instanceof ol||t instanceof sl?t.status:500}function Up(t){return t instanceof sl?t.text:"Internal Error"}let Pt,Us,fl;const Mp=Fs.toString().includes("$$")||/function \w+\(\) \{\}/.test(Fs.toString()),Ec="a:";Mp?(Pt={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL(Ec)},Us={current:null},fl={current:!1}):(Pt=new class{#e=We({});get data(){return e(this.#e)}set data(i){f(this.#e,i)}#t=We(null);get form(){return e(this.#t)}set form(i){f(this.#t,i)}#i=We(null);get error(){return e(this.#i)}set error(i){f(this.#i,i)}#l=We({});get params(){return e(this.#l)}set params(i){f(this.#l,i)}#n=We({id:null});get route(){return e(this.#n)}set route(i){f(this.#n,i)}#s=We({});get state(){return e(this.#s)}set state(i){f(this.#s,i)}#o=We(-1);get status(){return e(this.#o)}set status(i){f(this.#o,i)}#r=We(new URL(Ec));get url(){return e(this.#r)}set url(i){f(this.#r,i)}},Us=new class{#e=We(null);get current(){return e(this.#e)}set current(i){f(this.#e,i)}},fl=new class{#e=We(!1);get current(){return e(this.#e)}set current(i){f(this.#e,i)}},Cc.v=()=>fl.current=!0);function Bc(t){Object.assign(Pt,t)}const Ap=new Set(["icon","shortcut icon","apple-touch-icon"]);let Ms=null;const Fo=Sc(qc)??{},As=Sc(Tc)??{},ao={url:Ac({}),page:Ac({}),navigating:Fr(null),updated:Fp()};function ml(t){Fo[t]=Yo()}function Cp(t,i){let o=t+1;for(;Fo[o];)delete Fo[o],o+=1;for(o=i+1;As[o];)delete As[o],o+=1}function Cs(t,i=!1){return i?location.replace(t.href):location.href=t.href,new Promise(qo)}async function Dc(){if("serviceWorker"in navigator){const t=await navigator.serviceWorker.getRegistration(mi||"/");t&&await t.update()}}let pl,_l,Ca,ro,gl,ut;const Ra=[],Ea=[];let pi=null;function Ba(){pi?.fork?.then(t=>t?.discard()),pi=null,Qn={element:void 0,href:void 0}}const Da=new Map,Vc=new Set,Rp=new Set,Rs=new Set;let De={branch:[],error:null,url:null},Ic=!1,Va=!1,Pc=!0,Es=!1,Bs=!1,Lc=!1,hl=!1,Oc,bt,_i,jo;const Ia=new Set,Nc=new Map,Hc=new Map;async function Ep(t,i,o){if(globalThis.__sveltekit_1effenk.data){const{q:a={},p:l={},l:d={},f:m={}}=globalThis.__sveltekit_1effenk.data;for(const h in a)a[h];for(const h in d)d[h];for(const h in m)m[h];for(const h in l)l[h]}document.URL!==location.href&&(location.href=location.href),ut=t,await t.hooks.init?.(),pl=Sp(t),ro=document.documentElement,gl=i,_l=t.nodes[0],Ca=t.nodes[1],_l(),Ca(),bt=history.state?.[On],_i=history.state?.[zs],bt||(bt=_i=Date.now(),history.replaceState({...history.state,[On]:bt,[zs]:_i},""));const n=Fo[bt];function s(){n&&(history.scrollRestoration="manual",scrollTo(n.x,n.y))}o?(s(),await Xp(gl,o)):(await Hn({type:"enter",url:jc(ut.hash?e_(new URL(location.href)):location.href),replace_state:!0}),s()),Kp()}function Bp(){Ra.length=0,hl=!1}function Qc(t){Ea.some(i=>i?.snapshot)&&(As[t]=Ea.map(i=>i?.snapshot?.capture()))}function Jc(t){As[t]?.forEach((i,o)=>{Ea[o]?.snapshot?.restore(i)})}function Wc(){ml(bt),Gc(qc,Fo),Qc(_i),Gc(Tc,As)}async function Dp(t,i,o,n){let s,a;i.invalidateAll&&Ba(),await Hn({type:"goto",url:jc(t),keepfocus:i.keepFocus,noscroll:i.noScroll,replace_state:i.replaceState,state:i.state,redirect_count:o,nav_token:n,accept:()=>{if(i.invalidateAll){hl=!0,s=new Set;for(const[l,d]of Nc)for(const[m,h]of d)h.resource?.reset(),s.add(Aa(l,m));a=new Set;for(const[l,d]of Hc)for(const m of d.keys())a.add(Aa(l,m))}i.invalidate&&i.invalidate.forEach(Wp)}}),i.invalidateAll&&In().then(In).then(()=>{for(const[l,d]of Nc)for(const[m,{resource:h}]of d)s?.has(Aa(l,m))&&h.start();for(const[l,d]of Hc)for(const[m,{resource:h}]of d)a?.has(Aa(l,m))&&h.reconnect()})}async function Vp(t){if(t.id!==pi?.id){Ba();const i={};Ia.add(i),pi={id:t.id,token:i,promise:Xc({...t,preload:i}).then(o=>(Ia.delete(i),o.type==="loaded"&&o.state.error&&Ba(),o)),fork:null}}return pi.promise}async function vl(t){const i=(await La(t,!1))?.route;i&&await Promise.all([...i.layouts,i.leaf].filter(Boolean).map(o=>o[1]()))}async function Kc(t,i,o){const n={params:De.params,route:{id:De.route?.id??null},url:new URL(location.href)};if(De={...t.state,nav:n},Bc(t.props.page),Oc=new ut.root({target:i,props:{...t.props,stores:ao,components:Ea},hydrate:o,sync:!1,transformError:void 0}),await Promise.resolve(),o){const s={from:null,to:{...n,scroll:Fo[bt]??Yo()},willUnload:!1,type:"enter",complete:Promise.resolve()};Rs.forEach(a=>a(s))}Jc(_i),Va=!0}async function Pa({url:t,params:i,branch:o,errors:n,status:s,error:a,route:l,form:d}){let m="never";if(mi&&(t.pathname===mi||t.pathname===mi+"/"))m="always";else for(const F of o)F?.slash!==void 0&&(m=F.slash);t.pathname=up(t.pathname,m),t.search=t.search;const h={type:"loaded",state:{url:t,params:i,branch:o,error:a,route:l},props:{constructors:zp(o).map(F=>F.node.component),page:$l(Pt)}};d!==void 0&&(h.props.form=d);let w={},S=!Pt,T=0;for(let F=0;F<Math.max(o.length,De.branch.length);F+=1){const U=o[F],j=De.branch[F];U?.data!==j?.data&&(S=!0),U&&(w={...w,...U.data},S&&(h.props[`data_${T}`]=w),T+=1)}return(!De.url||t.href!==De.url.href||De.error!==a||d!==void 0&&d!==Pt.form||S)&&(h.props.page={error:a,params:i,route:{id:l?.id??null},state:{},status:s,url:new URL(t),form:d??null,data:S?w:Pt.data}),h}async function yl({loader:t,parent:i,url:o,params:n,route:s,server_data_node:a}){let l=null;const d={dependencies:new Set,params:new Set,parent:!1,route:!1,url:!1,search_params:new Set},m=await t();return{node:m,loader:t,server:a,universal:m.universal?.load?{type:"data",data:l,uses:d}:null,data:l??a?.data??null,slash:m.universal?.trailingSlash??a?.slash}}function Ip(t,i,o){let n=t instanceof Request?t.url:t;const s=new URL(n,o);s.origin===o.origin&&(n=s.href.slice(o.origin.length));const a=Va?vp(n,s.href,i):hp(n,i);return{resolved:s,promise:a}}function Pp(t,i,o,n,s,a){if(hl)return!0;if(!s)return!1;if(s.parent&&t||s.route&&i||s.url&&o)return!0;for(const l of s.search_params)if(n.has(l))return!0;for(const l of s.params)if(a[l]!==De.params[l])return!0;for(const l of s.dependencies)if(Ra.some(d=>d(new URL(l))))return!0;return!1}function bl(t,i){return t?.type==="data"?t:t?.type==="skip"?i??null:null}function Lp(t,i){if(!t)return new Set(i.searchParams.keys());const o=new Set([...t.searchParams.keys(),...i.searchParams.keys()]);for(const n of o){const s=t.searchParams.getAll(n),a=i.searchParams.getAll(n);s.every(l=>a.includes(l))&&a.every(l=>s.includes(l))&&o.delete(n)}return o}function Op({error:t,url:i,route:o,params:n}){return{type:"loaded",state:{error:t,url:i,route:o,params:n,branch:[]},props:{page:$l(Pt),constructors:[]}}}async function Xc({id:t,invalidating:i,url:o,params:n,route:s,preload:a}){if(pi?.id===t)return Ia.delete(pi.token),pi.promise;const{errors:l,layouts:d,leaf:m}=s,h=[...d,m];l.forEach(j=>j?.().catch(qo)),h.forEach(j=>j?.[1]().catch(qo));const w=De.url?t!==Oa(De.url):!1,S=De.route?s.id!==De.route.id:!1,T=Lp(De.url,o);let G=!1;const F=h.map(async(j,x)=>{if(!j)return;const y=De.branch[x];return j[1]===y?.loader&&!Pp(G,S,w,T,y.universal?.uses,n)?y:(G=!0,yl({loader:j[1],url:o,params:n,route:s,parent:async()=>{const B={};for(let R=0;R<x;R+=1)Object.assign(B,(await F[R])?.data);return B},server_data_node:bl(j[0]?{type:"skip"}:null,j[0]?y?.server:void 0)}))});for(const j of F)j.catch(qo);const U=[];for(let j=0;j<h.length;j+=1)if(h[j])try{U.push(await F[j])}catch(x){if(x instanceof nl)return{type:"redirect",location:x.location};if(a&&Ia.has(a))return Op({error:await Jn(x,{params:n,url:o,route:{id:s.id}}),url:o,params:n,route:s});let y=ul(x),I;if(x instanceof ol)I=x.body;else{if(await ao.updated.check())return await Dc(),await Cs(o);I=await Jn(x,{params:n,url:o,route:{id:s.id}})}const B=await Np(j,U,l);return B?Pa({url:o,params:n,branch:U.slice(0,B.idx).concat(B.node),errors:l,status:y,error:I,route:s}):await Yc(o,{id:s.id},I,y)}else U.push(void 0);return Pa({url:o,params:n,branch:U,errors:l,status:200,error:null,route:s,form:i?void 0:null})}async function Np(t,i,o){for(;t--;)if(o[t]){let n=t;for(;!i[n];)n-=1;try{return{idx:n+1,node:{node:await o[t](),loader:o[t],data:{},server:null,universal:null}}}catch{continue}}}async function kl({status:t,error:i,url:o,route:n}){const s={};let a=null;try{const l=await yl({loader:_l,url:o,params:s,route:n,parent:()=>Promise.resolve({}),server_data_node:bl(a)}),d={node:await Ca(),loader:Ca,universal:null,server:null,data:null};return Pa({url:o,params:s,branch:[l,d],status:t,error:i,errors:[],route:null})}catch(l){if(l instanceof nl){await Dp(new URL(l.location,location.href),{},0);return}const d=await ut.get_error_template(),m=await Jn(l,{url:o,params:s,route:n}),h=String(m?.message??"").replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;"),w=d({status:t,message:h}),S=new DOMParser().parseFromString(w,"text/html");throw document.documentElement.replaceChild(document.adoptNode(S.head),document.head),document.documentElement.replaceChild(document.adoptNode(S.body),document.body),l}}async function Hp(t){const i=t.href;if(Da.has(i))return Da.get(i);let o;try{const n=(async()=>{let s=await ut.hooks.reroute({url:new URL(t),fetch:async(a,l)=>Ip(a,l,t).promise})??t;if(typeof s=="string"){const a=new URL(t);ut.hash?a.hash=s:a.pathname=s,s=a}return s})();Da.set(i,n),o=await n}catch{Da.delete(i);return}return o}async function La(t,i){if(t&&!Ma(t,mi,ut.hash)){const o=await Hp(t);if(!o)return;const n=Qp(o);for(const s of pl){const a=s.exec(n);if(a)return{id:Oa(t),invalidating:i,route:s,params:mp(a),url:t}}}}function Qp(t){return fp(ut.hash?t.hash.replace(/^#/,"").replace(/[?#].+/,""):t.pathname.slice(mi.length))||"/"}function Oa(t){return(ut.hash?t.hash.replace(/^#/,""):t.pathname)+t.search}function Zc({url:t,type:i,intent:o,delta:n,event:s,scroll:a}){let l=!1;const d=xl(De,o,t,i,a??null);n!==void 0&&(d.navigation.delta=n),s!==void 0&&(d.navigation.event=s);const m={...d.navigation,cancel:()=>{l=!0,d.reject(new Error("navigation cancelled"))}};return Es||Vc.forEach(h=>h(m)),l?null:d}async function Hn({type:t,url:i,popped:o,keepfocus:n,noscroll:s,replace_state:a,state:l={},redirect_count:d=0,nav_token:m={},accept:h=qo,block:w=qo,event:S}){const T=jo;jo=m;const G=await La(i,!1),F=t==="enter"?xl(De,G,i,t):Zc({url:i,type:t,delta:o?.delta,intent:G,scroll:o?.scroll,event:S});if(!F){w(),jo===m&&(jo=T);return}const U=bt,j=_i;h(),Es=!0,Va&&F.navigation.type!=="enter"&&ao.navigating.set(Us.current=F.navigation);let x=G&&await Xc(G);if(!x){if(Ma(i,mi,ut.hash))return await Cs(i,a);x=await Yc(i,{id:null},await Jn(new sl(404,"Not Found",`Not found: ${i.pathname}`),{url:i,params:{},route:{id:null}}),404,a)}if(i=G?.url||i,jo!==m){F.reject(new Error("navigation aborted"));return}if(!x)return;if(x.type==="redirect"){if(d<20){await Hn({type:t,url:new URL(x.location,i),popped:o,keepfocus:n,noscroll:s,replace_state:a,state:l,redirect_count:d+1,nav_token:m}),F.fulfil(void 0);return}if(x=await kl({status:500,error:await Jn(new Error("Redirect loop"),{url:i,params:{},route:{id:null}}),url:i,route:{id:null}}),!x)return}else if(x.props.page.status>=400&&await ao.updated.check())return await Dc(),await Cs(i,a);if(Bp(),ml(U),Qc(j),x.props.page.url.pathname!==i.pathname&&(i.pathname=x.props.page.url.pathname),l=o?o.state:l,!o){const te=a?0:1,ze={[On]:bt+=te,[zs]:_i+=te,[Fc]:l};(a?history.replaceState:history.pushState).call(history,ze,"",i),a||Cp(bt,_i)}const y=G&&pi?.id===G.id?pi.fork:null;pi?.fork&&!y?Ba():(pi=null,Qn={element:void 0,href:void 0}),x.props.page.state=l;let I;if(Va){const te=(await Promise.all(Array.from(Rp,ye=>ye(F.navigation)))).filter(ye=>typeof ye=="function");if(te.length>0){let ye=function(){te.forEach(Fe=>{Rs.delete(Fe)})};te.push(ye),te.forEach(Fe=>{Rs.add(Fe)})}const ze=F.navigation.to;De={...x.state,nav:{params:ze.params,route:ze.route,url:ze.url}},x.props.page&&(x.props.page.url=i),!n&&document.activeElement instanceof HTMLElement&&document.activeElement!==document.body&&document.activeElement.blur();const q=y&&await y;q?I=q.commit():(Ms=null,Oc.$set(x.props),Ms&&Object.assign(x.props.page,Ms),Bc(x.props.page),I=Cm?.()),Lc=!0}else await Kc(x,gl,!1);const{activeElement:B}=document;if(await I,await In(),await In(),jo!==m){F.reject(new Error("navigation aborted"));return}x.props.page&&Ms&&Object.assign(x.props.page,Ms);let R=null;if(Pc){const te=o?o.scroll:s?Yo():null;te?scrollTo(te.x,te.y):(R=i.hash&&document.getElementById(eu(i)))?R.scrollIntoView():scrollTo(0,0)}const ce=document.activeElement!==B&&document.activeElement!==document.body;!n&&!ce&&Yp(i,!R),Pc=!0,Es=!1,F.fulfil(void 0),F.navigation.to&&(F.navigation.to.scroll=Yo()),Rs.forEach(te=>te(F.navigation)),t==="popstate"&&Jc(_i),ao.navigating.set(Us.current=null)}async function Yc(t,i,o,n,s){return t.origin===dl&&t.pathname===location.pathname&&!Ic?await kl({status:n,error:o,url:t,route:i}):await Cs(t,s)}let Qn={element:void 0,href:void 0};function Jp(){let t,i;ro.addEventListener("mousemove",l=>{const d=l.target;clearTimeout(t),t=setTimeout(()=>{s(d,Zo.hover)},20)});function o(l){l.defaultPrevented||s(l.composedPath()[0],Zo.tap)}ro.addEventListener("mousedown",o),ro.addEventListener("touchstart",o,{passive:!0});const n=new IntersectionObserver(l=>{for(const d of l)d.isIntersecting&&(vl(new URL(d.target.href)),n.unobserve(d.target))},{threshold:0});async function s(l,d){const m=Mc(l,ro),h=m===Qn.element&&m?.href===Qn.href&&d>=i;if(!m||h)return;const{url:w,external:S,download:T}=cl(m,mi,ut.hash);if(S||T)return;const G=Ua(m),F=w&&Oa(De.url)===Oa(w);if(!(G.reload||F))if(d<=G.preload_data){Qn={element:m,href:m.href},i=Zo.tap;const U=await La(w,!1);if(!U)return;Vp(U)}else d<=G.preload_code&&(Qn={element:m,href:m.href},i=d,vl(w))}function a(){n.disconnect();for(const l of ro.querySelectorAll("a")){const{url:d,external:m,download:h}=cl(l,mi,ut.hash);if(m||h)continue;const w=Ua(l);w.reload||(w.preload_code===Zo.viewport&&n.observe(l),w.preload_code===Zo.eager&&vl(d))}}Rs.add(a),a()}function Jn(t,i){if(t instanceof ol)return t.body;const o=ul(t),n=Up(t);return ut.hooks.handleError({error:t,event:i,status:o,message:n})??{message:n}}function Wp(t){if(typeof t=="function")Ra.push(t);else{const{href:i}=new URL(t,location.href);Ra.push(o=>o.href===i)}}function Kp(){history.scrollRestoration="manual",addEventListener("beforeunload",i=>{let o=!1;if(Wc(),!Es){const n=xl(De,void 0,null,"leave"),s={...n.navigation,cancel:()=>{o=!0,n.reject(new Error("navigation cancelled"))}};Vc.forEach(a=>a(s))}o?(i.preventDefault(),i.returnValue=""):history.scrollRestoration="auto"}),addEventListener("visibilitychange",()=>{document.visibilityState==="hidden"&&Wc()}),navigator.connection?.saveData||Jp(),ro.addEventListener("click",async i=>{if(i.button||i.which!==1||i.metaKey||i.ctrlKey||i.shiftKey||i.altKey||i.defaultPrevented)return;const o=Mc(i.composedPath()[0],ro);if(!o)return;const{url:n,external:s,target:a,download:l}=cl(o,mi,ut.hash);if(!n)return;if(a==="_parent"||a==="_top"){if(window.parent!==window)return}else if(a&&a!=="_self")return;const d=Ua(o);if(!(o instanceof SVGAElement)&&n.protocol!==location.protocol&&!(n.protocol==="https:"||n.protocol==="http:")||l)return;const[h,w]=(ut.hash?n.hash.replace(/^#/,""):n.href).split("#"),S=h===al(location);if(s||d.reload&&(!S||!w)){Zc({url:n,type:"link",event:i})?Es=!0:i.preventDefault();return}if(w!==void 0&&S){const[,T]=De.url.href.split("#");if(T===w){if(i.preventDefault(),w===""||w==="top"&&o.ownerDocument.getElementById("top")===null)scrollTo({top:0});else{const G=o.ownerDocument.getElementById(decodeURIComponent(w));G&&(G.scrollIntoView(),G.focus())}return}if(Bs=!0,ml(bt),t(n),!d.replace_state)return;Bs=!1}i.preventDefault(),await new Promise(T=>{requestAnimationFrame(()=>{setTimeout(T,0)}),setTimeout(T,100)}),await Hn({type:"link",url:n,keepfocus:d.keepfocus,noscroll:d.noscroll,replace_state:d.replace_state??n.href===location.href,event:i})}),ro.addEventListener("submit",i=>{if(i.defaultPrevented)return;const o=HTMLFormElement.prototype.cloneNode.call(i.target),n=i.submitter;if((n?.formTarget||o.target)==="_blank"||(n?.formMethod||o.method)!=="get")return;const l=new URL(n?.hasAttribute("formaction")&&n?.formAction||o.action);if(Ma(l,mi,!1))return;const d=i.target,m=Ua(d);if(m.reload)return;i.preventDefault(),i.stopPropagation();const h=new FormData(d,n);l.search=new URLSearchParams(h).toString(),Hn({type:"form",url:l,keepfocus:m.keepfocus,noscroll:m.noscroll,replace_state:m.replace_state??l.href===location.href,event:i})}),addEventListener("popstate",async i=>{if(!wl){if(i.state?.[On]){const o=i.state[On];if(jo={},o===bt)return;const n=Fo[o],s=i.state[Fc]??{},a=new URL(i.state[qp]??location.href),l=i.state[zs],d=De.url?al(location)===al(De.url):!1;if(l===_i&&(Lc||d)){s!==Pt.state&&(Pt.state=s),t(a),Fo[bt]=Yo(),n&&scrollTo(n.x,n.y),bt=o;return}const h=o-bt;await Hn({type:"popstate",url:a,popped:{state:s,scroll:n,delta:h},accept:()=>{bt=o,_i=l},block:()=>{history.go(-h)},nav_token:jo,event:i})}else if(!Bs){const o=new URL(location.href);t(o),ut.hash&&location.reload()}}}),addEventListener("hashchange",()=>{Bs&&(Bs=!1,history.replaceState({...history.state,[On]:++bt,[zs]:_i},"",location.href))});for(const i of document.querySelectorAll("link"))Ap.has(i.rel)&&(i.href=i.href);addEventListener("pageshow",i=>{i.persisted&&ao.navigating.set(Us.current=null)});function t(i){De.url=Pt.url=i,ao.page.set($l(Pt)),ao.page.notify()}}async function Xp(t,{status:i=200,error:o,node_ids:n,params:s,route:a,server_route:l,data:d,form:m}){Ic=!0;const h=new URL(location.href);let w;({params:s={},route:a={id:null}}=await La(h,!1)||{}),w=pl.find(({id:G})=>G===a.id);let S,T=!0;try{const G=n.map(async(U,j)=>{const x=d[j];return x?.uses&&(x.uses=Zp(x.uses)),yl({loader:ut.nodes[U],url:h,params:s,route:a,parent:async()=>{const y={};for(let I=0;I<j;I+=1)Object.assign(y,(await G[I]).data);return y},server_data_node:bl(x)})}),F=await Promise.all(G);if(w){const U=w.layouts;for(let j=0;j<U.length;j++)U[j]||F.splice(j,0,void 0)}S=await Pa({url:h,params:s,branch:F,status:i,error:o,errors:w?.errors,form:m,route:w??null})}catch(G){if(G instanceof nl)return await Cs(new URL(G.location,location.href));S=await kl({status:ul(G),error:await Jn(G,{url:h,params:s,route:a}),url:h,route:a}),t.textContent="",T=!1}S&&(S.props.page&&(S.props.page.state={}),await Kc(S,t,T))}function Zp(t){return{dependencies:new Set(t?.dependencies??[]),params:new Set(t?.params??[]),parent:!!t?.parent,route:!!t?.route,url:!!t?.url,search_params:new Set(t?.search_params??[])}}let wl=!1;function Yp(t,i=!0){const o=document.querySelector("[autofocus]");if(o)o.focus();else{const n=eu(t);if(n&&document.getElementById(n)){const{x:a,y:l}=Yo();setTimeout(()=>{const d=history.state;wl=!0,location.replace(new URL(`#${n}`,location.href)),history.replaceState(d,"",t),i&&scrollTo(a,l),wl=!1})}else{const a=document.body,l=a.getAttribute("tabindex");a.tabIndex=-1,a.focus({preventScroll:!0,focusVisible:!1}),l!==null?a.setAttribute("tabindex",l):a.removeAttribute("tabindex")}const s=getSelection();if(s&&s.type!=="None"){const a=[];for(let l=0;l<s.rangeCount;l+=1)a.push(s.getRangeAt(l));setTimeout(()=>{if(s.rangeCount===a.length){for(let l=0;l<s.rangeCount;l+=1){const d=a[l],m=s.getRangeAt(l);if(d.commonAncestorContainer!==m.commonAncestorContainer||d.startContainer!==m.startContainer||d.endContainer!==m.endContainer||d.startOffset!==m.startOffset||d.endOffset!==m.endOffset)return}s.removeAllRanges()}})}}}function xl(t,i,o,n,s=null){let a,l;const d=new Promise((h,w)=>{a=h,l=w});return d.catch(qo),{navigation:{from:{params:t.params,route:{id:t.route?.id??null},url:t.url,scroll:Yo()},to:o&&{params:i?.params??null,route:{id:i?.route?.id??null},url:o,scroll:s},willUnload:!i,type:n,complete:d},fulfil:a,reject:l}}function $l(t){return{data:t.data,error:t.error,form:t.form,params:t.params,route:t.route,state:t.state,status:t.status,url:t.url}}function e_(t){const i=new URL(t);return i.hash=decodeURIComponent(t.hash),i}function eu(t){let i;if(ut.hash){const[,,o]=t.hash.split("#",3);i=o??""}else i=t.hash.slice(1);return decodeURIComponent(i)}const vy="modulepreload",yy=function(t,i){return new URL(t,i).href},by={},Na=function(i,o,n){let s=Promise.resolve();function a(l){const d=new Event("vite:preloadError",{cancelable:!0});if(d.payload=l,window.dispatchEvent(d),!d.defaultPrevented)throw l}return s.then(l=>{for(const d of l||[])d.status==="rejected"&&a(d.reason);return i().catch(a)})},t_={},i_="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(i_);var o_=D('<div id="svelte-announcer" aria-live="assertive" aria-atomic="true" style="position: absolute; left: 0; top: 0; clip: rect(0 0 0 0); clip-path: inset(50%); overflow: hidden; white-space: nowrap; width: 1px; height: 1px"><!></div>'),n_=D("<!> <!>",1);function s_(t,i){ya(i,!0);let o=il(i,"components",23,()=>[]),n=il(i,"data_0",3,null),s=il(i,"data_1",3,null);tc(()=>i.stores.page.set(i.page)),Ga(()=>{i.stores,i.page,i.constructors,o(),i.form,n(),s(),i.stores.page.notify()});let a=We(!1),l=We(!1),d=We(null);Fs(()=>{const U=i.stores.page.subscribe(()=>{e(a)&&(f(l,!0),In().then(()=>{f(d,document.title||"untitled page",!0)}))});return f(a,!0),U});const m=ki(()=>i.constructors[1]);var h=n_(),w=Re(h);{var S=U=>{const j=ki(()=>i.constructors[0]);var x=Pn(),y=Re(x);Xr(y,()=>e(j),(I,B)=>{qs(B(I,{get data(){return n()},get form(){return i.form},get params(){return i.page.params},children:(R,ce)=>{var te=Pn(),ze=Re(te);Xr(ze,()=>e(m),(q,ye)=>{qs(ye(q,{get data(){return s()},get form(){return i.form},get params(){return i.page.params}}),Fe=>o()[1]=Fe,()=>o()?.[1])}),M(R,te)},$$slots:{default:!0}}),R=>o()[0]=R,()=>o()?.[0])}),M(U,x)},T=U=>{const j=ki(()=>i.constructors[0]);var x=Pn(),y=Re(x);Xr(y,()=>e(j),(I,B)=>{qs(B(I,{get data(){return n()},get form(){return i.form},get params(){return i.page.params}}),R=>o()[0]=R,()=>o()?.[0])}),M(U,x)};Q(w,U=>{i.constructors[1]?U(S):U(T,-1)})}var G=b(w,2);{var F=U=>{var j=o_(),x=g(j);{var y=I=>{var B=Lm();E(()=>k(B,e(d))),M(I,B)};Q(x,I=>{e(l)&&I(y)})}_(j),M(U,j)};Q(G,U=>{e(a)&&U(F)})}M(t,h),ba()}const a_=rp(s_),r_=[()=>Na(()=>Promise.resolve().then(()=>m_),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.Dai6XPYV.js",document.baseURI).href),()=>Na(()=>Promise.resolve().then(()=>h_),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.Dai6XPYV.js",document.baseURI).href),()=>Na(()=>Promise.resolve().then(()=>Yh),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.Dai6XPYV.js",document.baseURI).href)],l_=[],d_={"/":[2]},Sl={handleError:(({error:t})=>{console.error(t)}),reroute:(()=>{}),transport:{}},tu=Object.fromEntries(Object.entries(Sl.transport).map(([t,i])=>[t,i.decode])),c_=Object.fromEntries(Object.entries(Sl.transport).map(([t,i])=>[t,i.encode])),iu=Object.freeze(Object.defineProperty({__proto__:null,decode:(t,i)=>tu[t](i),decoders:tu,dictionary:d_,encoders:c_,get_error_template:()=>Na(()=>Promise.resolve().then(()=>ev),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.Dai6XPYV.js",document.baseURI).href).then(t=>t.default),hash:!1,hooks:Sl,matchers:t_,nodes:r_,root:a_,server_loads:l_},Symbol.toStringTag,{value:"Module"}));function u_(t,i){Ep(iu,t,i)}function f_(t,i){var o=Pn(),n=Re(o);Wm(n,()=>i.children),M(t,o)}const m_=Object.freeze(Object.defineProperty({__proto__:null,component:f_},Symbol.toStringTag,{value:"Module"})),p_={get error(){return Pt.error},get status(){return Pt.status}};ao.updated.check;const ou=p_;var __=D("<h1> </h1> <p> </p>",1);function g_(t,i){ya(i,!0);var o=__(),n=Re(o),s=g(n,!0);_(n);var a=b(n,2),l=g(a,!0);_(a),E(()=>{k(s,ou.status),k(l,ou.error?.message)}),M(t,o),ba()}const h_=Object.freeze(Object.defineProperty({__proto__:null,component:g_},Symbol.toStringTag,{value:"Module"})),v_=Object.freeze(Object.defineProperty({__proto__:null,prerender:!0,ssr:!1},Symbol.toStringTag,{value:"Module"}));dm();function Ha(t,i,o){for(let n=0;n<o.length;n+=1)t.setUint8(i+n,o.charCodeAt(n))}function Gl(t){const i=t.numberOfChannels,o=t.length,n=new ArrayBuffer(44+o*i*2),s=new DataView(n);Ha(s,0,"RIFF"),s.setUint32(4,36+o*i*2,!0),Ha(s,8,"WAVE"),Ha(s,12,"fmt "),s.setUint32(16,16,!0),s.setUint16(20,1,!0),s.setUint16(22,i,!0),s.setUint32(24,t.sampleRate,!0),s.setUint32(28,t.sampleRate*i*2,!0),s.setUint16(32,i*2,!0),s.setUint16(34,16,!0),Ha(s,36,"data"),s.setUint32(40,o*i*2,!0);const a=Array.from({length:i},(d,m)=>t.getChannelData(m));let l=44;for(let d=0;d<o;d+=1)for(let m=0;m<i;m+=1){const h=Math.max(-1,Math.min(1,a[m][d]));s.setInt16(l,h<0?h*32768:h*32767,!0),l+=2}return new Blob([n],{type:"audio/wav"})}async function y_(t){if(!t.length)throw new Error("No audio chunks were generated.");if(t.length===1)return t[0];const i=new AudioContext;try{const o=await Promise.all(t.map(async m=>i.decodeAudioData(await m.arrayBuffer()))),n=o[0].sampleRate,s=o[0].numberOfChannels;for(const m of o)if(m.sampleRate!==n||m.numberOfChannels!==s)throw new Error("Generated chunks use different audio formats and cannot be joined.");const a=o.reduce((m,h)=>m+h.length,0),l=i.createBuffer(s,a,n);let d=0;for(const m of o){for(let h=0;h<s;h+=1)l.copyToChannel(m.getChannelData(h),h,d);d+=m.length}return Gl(l)}finally{await i.close()}}async function Tl(t,i){if(!i&&(t.type==="audio/wav"||t.name.toLowerCase().endsWith(".wav")))return t;const o=new AudioContext;try{const n=await o.decodeAudioData(await t.arrayBuffer());if(!i||n.sampleRate===i)return Gl(n);const s=Math.max(1,Math.ceil(n.duration*i)),a=new OfflineAudioContext(n.numberOfChannels,s,i),l=a.createBufferSource();return l.buffer=n,l.connect(a.destination),l.start(),Gl(await a.startRendering())}finally{await o.close()}}async function nu(t){let i=`${t.status} ${t.statusText}`;try{const o=await t.json();i=o?.error?.message||o?.message||i}catch{const o=await t.text();o&&(i=o)}return new Error(i)}async function ft(t,i={},o){const n=new Headers(i.headers);i.body&&!(i.body instanceof FormData)&&!n.has("Content-Type")&&n.set("Content-Type","application/json");const s=await fetch(t,{...i,headers:n,signal:o});if(!s.ok)throw await nu(s);return s.json()}async function b_(){return ft("/health")}async function k_(){return(await ft("/v1/models")).data}async function w_(t){await ft("/v1/models/load",{method:"POST",body:JSON.stringify(t)})}async function Qa(t){await ft("/v1/models/unload",{method:"POST",body:JSON.stringify({id:t})})}async function x_(t){return ft("/v1/ui/path-status",{method:"POST",body:JSON.stringify({path:t})})}async function $_(t){return ft("/v1/ui/models/install",{method:"POST",body:JSON.stringify(t)})}async function S_(t){return ft("/v1/ui/models/install/stop",{method:"POST",body:JSON.stringify({id:t})})}async function G_(t){return ft("/v1/ui/models/clean-partial",{method:"POST",body:JSON.stringify({id:t})})}async function T_(t){return ft("/v1/ui/models/delete",{method:"POST",body:JSON.stringify({id:t})})}async function q_(){return(await ft("/v1/ui/models/install-status")).data}async function F_(){return ft("/v1/ui/models/package-sizes")}async function j_(){return ft("/v1/ui/models-root")}async function su(t=""){return ft("/v1/ui/models-root",{method:"POST",body:JSON.stringify({path:t})})}async function z_(t=""){return ft("/v1/ui/browse-directories",{method:"POST",body:JSON.stringify({path:t})})}async function au(t=""){const i=t?`?model=${encodeURIComponent(t)}`:"";return(await ft(`/v1/audio/voices${i}`)).voices}async function ru(t,i){return(await ft("/v1/ui/upload",{method:"POST",headers:{"Content-Type":"audio/wav"},body:t},i)).path}async function U_(t,i){const o=await fetch("/v1/audio/speech",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(t),signal:i});if(!o.ok)throw await nu(o);return{blob:await o.blob(),wallMs:o.headers.get("X-AudioCPP-Wall-Ms"),rtf:o.headers.get("X-AudioCPP-RTF")}}async function lu(t,i){return ft("/v1/audio/transcriptions",{method:"POST",body:JSON.stringify(t)},i)}async function M_(t,i){return ft("/v1/tasks/run",{method:"POST",body:JSON.stringify(t)},i)}function du(t){const i=atob(t),o=new Uint8Array(i.length);for(let n=0;n<i.length;n+=1)o[n]=i.charCodeAt(n);return URL.createObjectURL(new Blob([o],{type:"audio/wav"}))}const A_={family:"ace_step",display_name:"ACE-Step",description:"Open-source ACE-Step 1.5 music generation model for text-to-music and lyrics-to-song workflows across 50+ languages, with editing routes such as cover generation, repainting, continuation, stem extraction, and vocal-to-BGM conversion.",category:"audio_generation",status:"supported",tasks:["music","edit"],modes:["offline"],languages:["50+ languages"],capabilities:{music:["lyrics"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"ace_step_turbo_bf16",tags:["Music","Edit","GGUF"],docs:["docs/models/ace_step.md","docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"ace_step_turbo_q8_0",display_name:"ACE-Step 1.5 Turbo Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-q8_0.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_turbo_bf16",display_name:"ACE-Step 1.5 Turbo BF16 GGUF",default:!0,format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_base_q8_0",display_name:"ACE-Step 1.5 Base Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/base/ace-step-1.5-base-q8_0.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_base_bf16",display_name:"ACE-Step 1.5 Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/base/ace-step-1.5-base-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_xl_turbo_bf16",display_name:"ACE-Step 1.5 XL Turbo BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/xl-turbo/ace-step-1.5-xl-turbo-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF",download:{kind:"huggingface_snapshot",repo:"CaptainArni/audio.cpp-gguf"}},{id:"ace_step_xl_sft_bf16",display_name:"ACE-Step 1.5 XL SFT BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/xl-sft/ace-step-1.5-xl-sft-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF",download:{kind:"huggingface_snapshot",repo:"CaptainArni/audio.cpp-gguf"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{dit_turbo_config:"model:acestep-v15-turbo/config.json",dit_base_config:"model:acestep-v15-base/config.json",lm_config:"model:acestep-5Hz-lm-1.7B/config.json",lm_tokenizer_config:"model:acestep-5Hz-lm-1.7B/tokenizer_config.json",lm_vocab:"model:acestep-5Hz-lm-1.7B/vocab.json",lm_merges:"model:acestep-5Hz-lm-1.7B/merges.txt",lm_tokenizer_json:"model:acestep-5Hz-lm-1.7B/tokenizer.json",lm_chat_template:"model:acestep-5Hz-lm-1.7B/chat_template.jinja",text_encoder_config:"model:Qwen3-Embedding-0.6B/config.json",text_encoder_tokenizer_config:"model:Qwen3-Embedding-0.6B/tokenizer_config.json",text_encoder_vocab:"model:Qwen3-Embedding-0.6B/vocab.json",text_encoder_merges:"model:Qwen3-Embedding-0.6B/merges.txt",text_encoder_tokenizer_json:"model:Qwen3-Embedding-0.6B/tokenizer.json",text_encoder_chat_template:"model:Qwen3-Embedding-0.6B/chat_template.jinja",vae_config:"model:vae/config.json"},optional_files:{dit_xl_turbo_config:"model:acestep-v15-xl-turbo/config.json",dit_xl_sft_config:"model:acestep-v15-xl-sft/config.json"},optional_tensors:{dit_xl_turbo_weights:{source:"weights:",prefix:"dit_xl_turbo_weights"},dit_xl_turbo_silence_latent:{source:"weights:",prefix:"dit_xl_turbo_silence_latent"},dit_xl_sft_weights:{source:"weights:",prefix:"dit_xl_sft_weights"},dit_xl_sft_silence_latent:{source:"weights:",prefix:"dit_xl_sft_silence_latent"}},tensors:{dit_turbo_weights:{source:"weights:",prefix:"dit_turbo_weights"},dit_turbo_silence_latent:{source:"weights:",prefix:"dit_turbo_silence_latent"},dit_base_weights:{source:"weights:",prefix:"dit_base_weights"},dit_base_silence_latent:{source:"weights:",prefix:"dit_base_silence_latent"},lm_weights:{source:"weights:",prefix:"lm_weights"},text_encoder_weights:{source:"weights:",prefix:"text_encoder_weights"},vae_weights:{source:"weights:",prefix:"vae_weights"}}},{format:"safetensors",roots:{model:"."},files:{dit_turbo_config:"model:acestep-v15-turbo/config.json",dit_base_config:"model:acestep-v15-base/config.json",lm_config:"model:acestep-5Hz-lm-1.7B/config.json",lm_tokenizer_config:"model:acestep-5Hz-lm-1.7B/tokenizer_config.json",lm_vocab:"model:acestep-5Hz-lm-1.7B/vocab.json",lm_merges:"model:acestep-5Hz-lm-1.7B/merges.txt",lm_tokenizer_json:"model:acestep-5Hz-lm-1.7B/tokenizer.json",lm_chat_template:"model:acestep-5Hz-lm-1.7B/chat_template.jinja",text_encoder_config:"model:Qwen3-Embedding-0.6B/config.json",text_encoder_tokenizer_config:"model:Qwen3-Embedding-0.6B/tokenizer_config.json",text_encoder_vocab:"model:Qwen3-Embedding-0.6B/vocab.json",text_encoder_merges:"model:Qwen3-Embedding-0.6B/merges.txt",text_encoder_tokenizer_json:"model:Qwen3-Embedding-0.6B/tokenizer.json",text_encoder_chat_template:"model:Qwen3-Embedding-0.6B/chat_template.jinja",vae_config:"model:vae/config.json"},optional_files:{dit_xl_turbo_config:"model:acestep-v15-xl-turbo/config.json",dit_xl_sft_config:"model:acestep-v15-xl-sft/config.json"},optional_tensors:{dit_xl_turbo_weights:"model:acestep-v15-xl-turbo/model.safetensors.index.json",dit_xl_turbo_silence_latent:"model:acestep-v15-xl-turbo/silence_latent.safetensors",dit_xl_sft_weights:"model:acestep-v15-xl-sft/model.safetensors.index.json",dit_xl_sft_silence_latent:"model:acestep-v15-xl-sft/silence_latent.safetensors"},tensors:{dit_turbo_weights:"model:acestep-v15-turbo/model.safetensors",dit_turbo_silence_latent:"model:acestep-v15-turbo/silence_latent.safetensors",dit_base_weights:"model:acestep-v15-base/model.safetensors",dit_base_silence_latent:"model:acestep-v15-base/silence_latent.safetensors",lm_weights:"model:acestep-5Hz-lm-1.7B/model.safetensors",text_encoder_weights:"model:Qwen3-Embedding-0.6B/model.safetensors",vae_weights:"model:vae/diffusion_pytorch_model.safetensors"}}]},C_={schema_version:1,family:"bs_roformer",display_name:"BS-RoFormer",description:"Band-Split RoFormer music source-separation model that estimates vocals from explicit non-overlapping frequency bands and derives accompaniment from the input mixture.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"RoFormer weight storage type. Defaults to f32 when the backend requires a host graph plan, otherwise native.",preset:"weight_type_full",required:!1},{name:"num_overlap",type:"int",description:"Number of overlapping inference windows; defaults to the package configuration. Lower values improve throughput but can reduce boundary quality.",required:!1,min:1}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"bs_roformer_q8_0",display_name:"BS-RoFormer ep368 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"BS-RoFormer-ep368-GGUF",files:["BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf"],strip_prefix:"BS-RoFormer-ep368-GGUF"}],dependencies:[],ui:{recommended_package:"bs_roformer_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md","tests/bs_roformer/README.md"]}},R_={family:"chatterbox",display_name:"Chatterbox",description:"Open-source Chatterbox family for expressive TTS and voice conversion, with emotion exaggeration control, fast generation, zero-shot voice cloning, and an integrated multilingual TTS path.",category:"tts",status:"supported",tasks:["tts","clone","vc"],modes:["offline"],languages:["ar","da","de","el","en","es","fi","fr","hi","it","ko","ms","nl","no","pl","pt","sv","sw","tr"],capabilities:{clone:["speaker_reference"],vc:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"chatterbox_q8_0",tags:["TTS","Clone","VC","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"chatterbox_q8_0",display_name:"Chatterbox Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Chatterbox-GGUF",files:["Chatterbox-GGUF/chatterbox-q8_0.gguf"],strip_prefix:"Chatterbox-GGUF"},{id:"chatterbox_f16",display_name:"Chatterbox F16 GGUF",format:"gguf",precision:"f16",target_directory:"Chatterbox-GGUF",files:["Chatterbox-GGUF/chatterbox-f16.gguf"],strip_prefix:"Chatterbox-GGUF"},{id:"chatterbox_safetensors",display_name:"Chatterbox Safetensors",format:"safetensors",precision:"native",target_directory:"chatterbox",files:["ve.safetensors","t3_cfg.safetensors","s3gen.safetensors","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"ResembleAI/chatterbox"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{english_tokenizer:"model:tokenizer.json",multilingual_tokenizer:"model:grapheme_mtl_merged_expanded_v1.json",cangjie_mapping:"model:Cangjie5_TC.json",builtin_conditionals:"model:conds.pt"},tensors:{voice_encoder_weights:{source:"weights:",prefix:"voice_encoder"},s3gen_weights:{source:"weights:",prefix:"s3gen"},t3_english_weights:{source:"weights:",prefix:"t3_english"},t3_multilingual_v2_weights:{source:"weights:",prefix:"t3_multilingual_v2"},t3_multilingual_v3_weights:{source:"weights:",prefix:"t3_multilingual_v3"}}},{format:"safetensors",roots:{model:"."},files:{english_tokenizer:"model:tokenizer.json",multilingual_tokenizer:"model:grapheme_mtl_merged_expanded_v1.json",cangjie_mapping:"model:Cangjie5_TC.json",builtin_conditionals:"model:conds.pt"},tensors:{voice_encoder_weights:"model:ve.safetensors",s3gen_weights:"model:s3gen.safetensors",t3_english_weights:"model:t3_cfg.safetensors",t3_multilingual_v2_weights:"model:t3_mtl23ls_v2.safetensors",t3_multilingual_v3_weights:"model:t3_mtl23ls_v3.safetensors"}}]},E_={family:"citrinet_asr",display_name:"Citrinet ASR",description:"NVIDIA CitriNet-family end-to-end English ASR model using a convolutional CTC architecture optimized for transcribing speech segments to text.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["en"],capabilities:{},runtime:{tags:["gguf"]},ui:{recommended_package:"citrinet_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"citrinet_asr_q8_0",display_name:"Citrinet ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Citrinet-ASR-GGUF",files:["Citrinet-ASR-GGUF/citrinet-asr-q8_0.gguf"],strip_prefix:"Citrinet-ASR-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:citrinet_256_config.json",tokenizer:"model:citrinet_256_tokenizer.model"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:citrinet_256_config.json",tokenizer:"model:citrinet_256_tokenizer.model"},tensors:{weights:"model:citrinet_256.safetensors"}}]},B_={schema_version:1,family:"confucius4_tts",display_name:"Confucius4-TTS",description:"Confucius4-TTS is a multilingual voice-cloning TTS model packaged for audio.cpp with offline and streaming generation. It uses reference speech, language-aware text normalization, T2S semantic generation, S2A flow matching, style encoding, semantic audio features, and BigVGAN vocoding.",category:"tts",status:"experimental",tasks:["clone"],modes:["offline","streaming"],languages:["zh","en","ja","ko","de","fr","es","id","it","th","pt","ru","ms","vi"],runtime:{tags:["gguf","stream"]},capabilities:{clone:["speaker_reference","long_form"]},options:{request:[{name:"language",type:"string",description:"Target synthesis language code used by the text frontend; default zh when no request transcript language or style language is provided.",required:!1,default:"zh"},{name:"temperature",type:"float",description:"T2S sampling temperature; must be positive, default 0.8.",required:!1,min:0,default:.8},{name:"top_p",type:"float",description:"T2S nucleus sampling probability; must be in (0, 1], default 0.8.",required:!1,min:0,max:1,default:.8},{name:"top_k",type:"int",description:"T2S top-k sampling limit; must be positive, default 30.",required:!1,min:1,default:30},{name:"num_beams",type:"int",description:"T2S beam count; default 3. Set 1 for single-beam sampling.",required:!1,min:1,default:3},{name:"repetition_penalty",type:"float",description:"T2S repetition penalty; must be positive, default 10.0.",required:!1,min:0,default:10},{name:"max_tokens",type:"int",description:"Maximum T2S semantic sequence length including prompt tokens; default 1520.",required:!1,min:1,default:1520},{name:"num_inference_steps",type:"int",description:"S2A flow-matching step count; default 25.",required:!1,min:1,default:25},{name:"guidance_scale",type:"float",description:"S2A classifier-free guidance scale; default 0.7.",required:!1,min:0,default:.7},{name:"text_chunk_size",type:"int",description:"Maximum text tokens per generated segment; default 80.",required:!1,min:1,default:80},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode; default uses the standard word-budget chunker.",values:["default","tag_aware","japanese","endline"],required:!1,default:"default"},{name:"cross_fade_duration_sec",type:"float",description:"Cross-fade duration between generated segments in seconds; default 0.3.",required:!1,min:0,default:.3},{name:"edge_fade_duration_sec",type:"float",description:"Fade duration applied at segment edges in seconds; default 0.1.",required:!1,min:0,default:.1},{name:"edge_pad_duration_sec",type:"float",description:"Silence padding applied at segment edges in seconds; default 0.1.",required:!1,min:0,default:.1},{name:"seed",type:"int",description:"Seed for T2S sampling and S2A noise initialization; default 1234.",required:!1,min:0,default:1234}],session:[{name:"graph_arena_mb",type:"int",description:"Reusable ggml graph arena size in MiB for Confucius stages; default 512.",required:!1,min:1,default:512},{name:"weight_context_mb",type:"int",description:"Weight loading context size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"weight_type",type:"enum",description:"Matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; default 1, set 0 to disable caching.",required:!1,min:0,default:1},{name:"mem_saver",type:"bool",description:"Release staged graphs after request phases; default false.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"confucius4_tts_orig",display_name:"Confucius4-TTS Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Confucius4-TTS-GGUF",files:["Confucius4-TTS-GGUF/confucius4-tts-orig.gguf"],strip_prefix:"Confucius4-TTS-GGUF"}],dependencies:[],ui:{recommended_package:"confucius4_tts_orig",tags:["TTS","Clone","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:inference_config.yaml",tokenizer_model:"model:tokenizer.model",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",w2v_preprocessor_config:"model:w2v_preprocessor_config.json",bigvgan_config:"model:bigvgan_config.json"},tensors:{t2s:{source:"weights:",prefix:"t2s"},s2a:{source:"weights:",prefix:"s2a"},semantic_encoder:{source:"weights:",prefix:"semantic_encoder"},semantic_encoder_shaw:{source:"weights:",prefix:"semantic_encoder_shaw"},semantic_stats:{source:"weights:",prefix:"semantic_stats"},style_encoder:{source:"weights:",prefix:"style_encoder"},vocoder:{source:"weights:",prefix:"vocoder"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:inference_config.yaml",tokenizer_model:"model:tokenizer.model",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",w2v_preprocessor_config:"model:w2v_preprocessor_config.json",bigvgan_config:"model:bigvgan_config.json"},tensors:{t2s:"model:t2s.safetensors",s2a:"model:s2a.safetensors",semantic_encoder:"model:semantic_encoder.safetensors",semantic_encoder_shaw:"model:semantic_encoder_shaw.safetensors",semantic_stats:"model:semantic_stats.safetensors",style_encoder:"model:style_encoder.safetensors",vocoder:"model:vocoder.safetensors"}}]},D_={schema_version:1,family:"dots_tts",display_name:"DotTTS",description:"DotTTS is a multilingual zero-shot TTS and voice-cloning model family packaged for audio.cpp with SOAR and MeanFlow generation, prompt-audio plus prompt-text prefill, speaker-reference conditioning, language tags, multiple synthesis templates, long-form text chunking, and true streaming audio output.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline","streaming"],languages:["multilingual"],runtime:{tags:["gguf","stream"]},capabilities:{tts:["speaker_reference","style_control","long_form"],clone:["speaker_reference","style_control","long_form"]},options:{request:[{name:"reference_text",type:"string",description:"Transcript for the prompt audio. When set with reference audio, DotTTS uses prompt prefill for higher quality voice cloning.",required:!1},{name:"reference_duration_sec",type:"float",description:"Optional prompt-audio trim duration before reference conditioning and prompt prefill.",required:!1,min:0},{name:"template_name",type:"enum",description:"DotTTS synthesis template. tts is normal text-to-speech; instruction_tts adds instruction conditioning; text_to_audio uses a sound-description template; tts_interleave uses the streaming interleave schedule.",values:["tts","instruction_tts","text_to_audio","tts_interleave"],required:!1,default:"tts"},{name:"language",type:"string",description:"Optional target language tag. none disables language tagging; otherwise pass a language code such as en or zh.",required:!1,default:"none"},{name:"num_inference_steps",type:"int",description:"SOAR flow-matching inference step count; default 10.",required:!1,min:1,default:10},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale used by SOAR flow matching. Default 1.2.",required:!1,min:0,default:1.2},{name:"speaker_scale",type:"float",description:"Multiplier applied to the prompt speaker embedding; default 1.5.",required:!1,min:0,default:1.5},{name:"sampler_mode",type:"enum",description:"SOAR ODE solver method for flow matching. Fixed-step euler is the default and parity baseline.",values:["euler","midpoint","rk4"],required:!1,default:"euler"},{name:"max_tokens",type:"int",description:"Maximum generated audio patch count per generated segment; default 500.",required:!1,min:1,default:500},{name:"text_chunk_size",type:"int",description:"Maximum text codepoints per generated segment for long-form requests; default 320.",required:!1,min:1,default:320},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode; default tag_aware preserves leading style/control tags across long-form chunks.",values:["default","tag_aware","japanese","endline"],required:!1,default:"tag_aware"},{name:"vocoder_merge_steps",type:"int",description:"Streaming vocoder latent patch merge size after the initial unmerged patches; default 4, matching the Python optimized streaming runtime default.",required:!1,min:1,default:4},{name:"seed",type:"int",description:"Seed for prompt latent sampling and flow noise initialization; default 42.",required:!1,min:0,default:42}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type for DotTTS components; default native. Component-specific weight options override this value.",preset:"weight_type_full",required:!1,default:"native"},{name:"speaker_encoder_weight_type",type:"enum",description:"Speaker encoder matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"AudioVAE vocoder matmul and recurrent weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"patch_encoder_weight_type",type:"enum",description:"Patch encoder transformer matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"llm_weight_type",type:"enum",description:"Autoregressive language model matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"flow_weight_type",type:"enum",description:"SOAR or MeanFlow DiT flow-matching matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"codec_conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; set 0 to disable reuse.",required:!1,min:0,default:4},{name:"mem_saver",type:"bool",description:"Load DotTTS components by request phase and release their weights/graphs after last use while keeping reference cache slots alive.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"dots_tts_soar_q8_0",display_name:"DotTTS SOAR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"DotTTS-SOAR-GGUF",files:["DotTTS-SOAR-GGUF/dots-tts-soar-q8_0.gguf"],strip_prefix:"DotTTS-SOAR-GGUF"},{id:"dots_tts_soar_bf16",display_name:"DotTTS SOAR BF16 GGUF",default:!1,format:"gguf",precision:"bf16",target_directory:"DotTTS-SOAR-GGUF",files:["DotTTS-SOAR-GGUF/dots-tts-soar-bf16.gguf"],strip_prefix:"DotTTS-SOAR-GGUF"},{id:"dots_tts_mf_q8_0",display_name:"DotTTS MeanFlow Q8_0 GGUF",default:!1,format:"gguf",precision:"q8_0",target_directory:"DotTTS-MF-GGUF",files:["DotTTS-MF-GGUF/dots-tts-mf-q8_0.gguf"],strip_prefix:"DotTTS-MF-GGUF"},{id:"dots_tts_mf_bf16",display_name:"DotTTS MeanFlow BF16 GGUF",default:!1,format:"gguf",precision:"bf16",target_directory:"DotTTS-MF-GGUF",files:["DotTTS-MF-GGUF/dots-tts-mf-bf16.gguf"],strip_prefix:"DotTTS-MF-GGUF"}],dependencies:[],ui:{recommended_package:"dots_tts_soar_q8_0",tags:["TTS","Clone","Stream","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",llm_config:"model:llm_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",added_tokens:"model:added_tokens.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{core_weights:{source:"weights:",prefix:"core"},vocoder_weights:{source:"weights:",prefix:"vocoder"},speaker_encoder_weights:{source:"weights:",prefix:"speaker_encoder"},latent_stats:{source:"weights:",prefix:"latent_stats"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",llm_config:"model:llm_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",added_tokens:"model:added_tokens.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{core_weights:{source:"model:model.safetensors"},vocoder_weights:{source:"model:vocoder.safetensors"},speaker_encoder_weights:{source:"model:speaker_encoder.safetensors"},latent_stats:{source:"model:latent_stats.safetensors"}}}]},V_={schema_version:1,family:"dramabox",display_name:"DramaBox",description:"DramaBox is an English expressive TTS and voice-cloning model packaged for audio.cpp as a standalone GGUF bundle. It combines Gemma text conditioning, diffusion sampling, reference-audio conditioning, long-form chunking, and 48 kHz stereo output.",category:"tts",status:"experimental",tasks:["tts","clone"],modes:["offline"],languages:["en"],runtime:{tags:["gguf"]},capabilities:{tts:["speaker_reference","style_control","long_form"],clone:["speaker_reference","style_control","long_form"]},options:{request:[{name:"target_voice",type:"audio_path",description:"Reference voice WAV path for voice cloning. If omitted, DramaBox generates from text without reference-audio conditioning.",required:!1},{name:"negative_prompt",type:"string",description:"Negative text conditioning used when guidance_scale enables classifier-free guidance; omitted uses the built-in quality prompt.",required:!1},{name:"duration_sec",type:"float",description:"Explicit target duration in seconds; default 0 uses the prompt-duration estimator.",required:!1,min:0,default:0},{name:"num_inference_steps",type:"int",description:"Diffusion sampling step count; default comes from config.json, 30 in the current package.",required:!1,min:1,default:30},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale; default comes from config.json, 2.5 in the current package. Values greater than 1 enable CFG.",required:!1,min:0,default:2.5},{name:"spatio_temporal_guidance_scale",type:"float",description:"Spatio-temporal guidance scale; default comes from config.json, 1.5 in the current package. Values greater than 0 enable STG.",required:!1,min:0,default:1.5},{name:"duration_scale",type:"float",description:"Multiplier applied to the estimated prompt duration when duration_sec is 0; default comes from config.json, 1.1 in the current package.",required:!1,min:0,default:1.1},{name:"reference_duration_sec",type:"float",description:"Reference voice crop/repeat duration in seconds; default comes from config.json, 10.0 in the current package.",required:!1,min:0,default:10},{name:"guidance_rescale",type:"string",description:"Guidance rescale value. The default auto mode derives a rescale value from guidance_scale; a numeric string requests an explicit value.",required:!1,default:"auto"},{name:"audio_chunk_threshold_sec",type:"float",description:"Estimated duration threshold that switches a request to long-form chunking; default 45.0 seconds.",required:!1,min:0,default:45},{name:"audio_chunk_duration_sec",type:"float",description:"Target estimated duration for each long-form chunk; default 37.0 seconds.",required:!1,min:0,default:37},{name:"cross_fade_duration_sec",type:"float",description:"Equal-power cross-fade between long-form chunks in seconds; default 0.05.",required:!1,min:0,default:.05},{name:"seed",type:"int",description:"Torch-compatible CUDA noise seed for diffusion sampling; default 42.",required:!1,min:0,default:42}],session:[{name:"perf_mode",type:"enum",description:"Attention implementation mode. Default off keeps the exact reference-query attention path; flash_attention enables the optimized path.",values:["off","flash_attention"],required:!1,default:"off"},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs and weights immediately after each request phase to reduce peak and resident VRAM; default false keeps components cached for later reuse.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"dramabox_q8_0",display_name:"DramaBox Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"DramaBox-GGUF",files:["DramaBox-GGUF/dramabox-q8_0.gguf"],strip_prefix:"DramaBox-GGUF"}],dependencies:[],ui:{recommended_package:"dramabox_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",audio_components_config:"model:audio_components_config.json",gemma_config:"model:gemma-3-12b-it-bnb-4bit/config.json",gemma_tokenizer_model:"model:gemma-3-12b-it-bnb-4bit/tokenizer.model",gemma_tokenizer_json:"model:gemma-3-12b-it-bnb-4bit/tokenizer.json",gemma_tokenizer_config:"model:gemma-3-12b-it-bnb-4bit/tokenizer_config.json"},tensors:{dit_weights:{source:"weights:",prefix:"dit"},audio_weights:{source:"weights:",prefix:"audio"},gemma_weights:{source:"weights:",prefix:"gemma"},silence_latent:{source:"weights:",prefix:"silence"}}}]},I_={family:"fish_audio",display_name:"Fish Audio S2 Pro",description:"Fish Audio S2 Pro text-to-speech model for expressive speech across 80+ languages, with automatic language handling, inline prosody/emotion controls, and rapid voice cloning from short reference samples.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["80+ languages"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"fish_audio_s2_pro_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"fish_audio_s2_pro_q8_0",display_name:"Fish Audio S2 Pro Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Fish-Audio-S2-Pro-GGUF",files:["Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-q8_0.gguf"],strip_prefix:"Fish-Audio-S2-Pro-GGUF"},{id:"fish_audio_s2_pro_bf16",display_name:"Fish Audio S2 Pro BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Fish-Audio-S2-Pro-GGUF",files:["Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-bf16.gguf"],strip_prefix:"Fish-Audio-S2-Pro-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{model_weights:"model:model_audio_cpp.safetensors.index.json",codec_weights:"model:codec.safetensors"}}]},P_={schema_version:1,family:"fun_asr_nano",display_name:"Fun-ASR-Nano",description:"Offline multilingual speech recognition with the FunAudioLLM Fun-ASR-Nano-2512 model.",category:"asr",status:"wip",tasks:["asr"],modes:["offline"],languages:["auto","zh","en","ja"],capabilities:{},options:{request:[{name:"language",type:"string",description:"Recognition language, or auto to let the model infer it.",required:!1,default:"auto"},{name:"enable_itn",type:"bool",description:"Enable inverse text normalization in the transcription prompt.",required:!1,default:!0},{name:"max_tokens",type:"int",description:"Maximum number of generated transcript tokens.",required:!1,min:1,default:512},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode: auto, fixed, or none.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_seconds",type:"float",description:"Fixed chunk duration in seconds.",required:!1,min:.001,default:30}],session:[{name:"weight_type",type:"enum",description:"Shared model weight storage type.",preset:"weight_type_full",required:!1,default:"native"}],load:[]},runtime:{tags:["gguf","server","cuda","metal","cpu"]},packages:[{id:"fun_asr_nano_2512_q8_0",display_name:"Fun-ASR-Nano-2512 Q8_0 GGUF",description:"Standalone audio.cpp GGUF built from the pinned official checkpoint; governed by the FunASR Model Open Source License Agreement v1.1.",default:!0,format:"gguf",precision:"q8_0",target_directory:"Fun-ASR-Nano-2512-GGUF",files:["fun-asr-nano-2512-q8_0.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-GGUF",revision:"ce72677f84900f0dc57f498ace253bfb3c9155b6",gated:!1}},{id:"fun_asr_nano_2512_f16",display_name:"Fun-ASR-Nano-2512 F16 GGUF",description:"Standalone audio.cpp GGUF built from the pinned official checkpoint; governed by the FunASR Model Open Source License Agreement v1.1.",format:"gguf",precision:"f16",target_directory:"Fun-ASR-Nano-2512-GGUF",files:["fun-asr-nano-2512-f16.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-GGUF",revision:"ce72677f84900f0dc57f498ace253bfb3c9155b6",gated:!1}},{id:"fun_asr_nano_2512_safetensors",display_name:"Fun-ASR-Nano-2512 HF Safetensors",description:"Official checkpoint governed by the FunASR Model Open Source License Agreement v1.1.",format:"safetensors",precision:"native",target_directory:"Fun-ASR-Nano-2512-hf",files:["chat_template.jinja","config.json","generation_config.json","model.safetensors","processor_config.json","tokenizer.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-hf",revision:"854d88f94205cd17d2afdb24332130d86fbe654a",gated:!1}}],dependencies:[],ui:{recommended_package:"fun_asr_nano_2512_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"],summary:"Offline Fun-ASR-Nano transcription from official safetensors or audio.cpp GGUF."},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},optional_files:{chat_template_jinja:"model:chat_template.jinja",tokenizer_config:"model:tokenizer_config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},optional_files:{chat_template_jinja:"model:chat_template.jinja",tokenizer_config:"model:tokenizer_config.json"},tensors:{weights:"model:model.safetensors"}}]},L_={schema_version:1,family:"glm_tts",display_name:"GLM-TTS",description:"Community Chinese-English zero-shot speech synthesis and voice cloning with native Llama, Whisper-VQ, Flow/DiT, CAMPPlus, and HiFT execution.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["zh","en"],capabilities:{clone:["speaker_reference"]},options:{request:[{name:"reference_text",type:"string",description:"Transcript matching the reference voice audio; required by GLM-TTS zero-shot synthesis.",required:!0},{name:"max_tokens",type:"int",description:"Maximum generated speech tokens; otherwise the official 2x-to-20x text-token bounds are used.",required:!1,min:0,default:0},{name:"temperature",type:"float",description:"Speech-token temperature; official default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Speech-token top-k; official default 25.",required:!1,min:0,default:25},{name:"top_p",type:"float",description:"Speech-token nucleus threshold; official default 0.8.",required:!1,min:0,max:1,default:.8},{name:"seed",type:"int",description:"Speech-token, Flow-noise, and HiFT seed.",required:!1,min:0,default:0},{name:"num_inference_steps",type:"int",description:"Flow Euler steps; defaults to model config, usually official default 10.",required:!1,min:1},{name:"flow_guidance_scale",type:"float",description:"Flow classifier-free guidance rate; defaults to model config, usually official default 0.7.",required:!1,min:0},{name:"flow_noise_path",type:"path",description:"Optional raw float32 initial Flow noise for parity tests.",required:!1},{name:"hift_source_random_path",type:"path",description:"Optional raw float32 HiFT phase-uniform and Gaussian values for parity tests.",required:!1},{name:"hift_prior_noise_count",type:"int",description:"Torch RNG value offset used before HiFT source generation; default 0.",required:!1,min:0,default:0}],session:[{name:"weight_type",type:"enum",description:"Requested component weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"mem_saver",type:"bool",description:"Release reference-only encoders after caching the voice while keeping the generation path warm; default false.",required:!1,default:!1},{name:"aggressive_mem_saver",type:"bool",description:"Also release Llama, Flow, and HiFT after every stage. Minimizes VRAM but reloads the generation path on every request; default false.",required:!1,default:!1},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; default 1. Use 0 to disable.",required:!1,min:0,default:1},{name:"llama_weight_context_mb",type:"int",description:"Llama weight metadata context in MiB; default 8192.",required:!1,min:1,default:8192},{name:"constant_context_mb",type:"int",description:"Llama constant tensor context in MiB; default 256.",required:!1,min:1,default:256}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{llama_config:"model:llm/config.json",llama_generation_config:"model:llm/generation_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json",speech_tokenizer_preprocessor:"model:speech_tokenizer/preprocessor_config.json",tokenizer_config:"model:vq32k-phoneme-tokenizer/tokenizer_config.json",tokenizer_vocab:"model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",tokenizer_merges:"model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",flow_config:"model:flow/config.yaml",audio_cpp_config:"model:audio_cpp_config.json"},tensors:{llama_weights:{source:"weights:",prefix:"llama_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"},flow_weights:{source:"weights:",prefix:"flow_weights"},hift_weights:{source:"weights:",prefix:"hift_weights"},campplus_weights:{source:"weights:",prefix:"campplus_weights"}}},{format:"safetensors",roots:{model:"."},files:{llama_config:"model:llm/config.json",llama_generation_config:"model:llm/generation_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json",speech_tokenizer_preprocessor:"model:speech_tokenizer/preprocessor_config.json",tokenizer_config:"model:vq32k-phoneme-tokenizer/tokenizer_config.json",tokenizer_vocab:"model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",tokenizer_merges:"model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",flow_config:"model:flow/config.yaml",audio_cpp_config:"model:audio_cpp_config.json"},tensors:{llama_weights:"model:llm/model.safetensors.index.json",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors",flow_weights:"model:flow/model.safetensors",hift_weights:"model:hift/model.safetensors",campplus_weights:"model:frontend/campplus.safetensors"}}],packages:[{id:"glm_tts_q8_0",display_name:"GLM-TTS mixed Q8_0/F16 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"GLM-TTS-Q8",files:["Text to audio (TTS)/GLM-TTS_Q8.gguf"],download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}}],dependencies:[],ui:{recommended_package:"glm_tts_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/glm_tts.md","docs/reports/glm_tts_validation.md","docs/gguf.md"]}},O_={schema_version:1,family:"heartmula",display_name:"HeartMuLa",description:"Open-source music foundation model for generating complete songs from text, lyric prompts, and style tags, with controllable song structure and broad multilingual lyric conditioning.",category:"audio_generation",status:"supported",tasks:["music"],modes:["offline"],languages:["multilingual"],capabilities:{music:["lyrics","style_control"]},options:{request:[{name:"lyrics",type:"string",description:"Lyrics text.",required:!1},{name:"tags",type:"string",description:"Comma-separated music tags.",required:!1},{name:"duration_sec",type:"float",description:"Maximum generated audio duration in seconds; must be positive when set; default 120.",required:!1,min:0,default:120},{name:"temperature",type:"float",description:"Audio-token sampling temperature; must be positive when set; default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Audio-token top-k sampling limit; default 50.",required:!1,min:1,default:50},{name:"guidance_scale",type:"float",description:"MuLa classifier-free guidance scale; must be positive when set; default 1.5.",required:!1,min:0,default:1.5},{name:"codec_duration_sec",type:"float",description:"Codec detokenization chunk duration in seconds; must be positive when set; default 29.76.",required:!1,min:0,default:29.76},{name:"num_inference_steps",type:"int",description:"Codec flow solver steps; default 10.",required:!1,min:1,default:10},{name:"codec_guidance_scale",type:"float",description:"Codec classifier-free guidance scale; must be positive when set; default 1.25.",required:!1,min:0,default:1.25},{name:"infinite_mode",type:"bool",description:"Generate long outputs by splitting lyrics into bounded HeartMuLa requests.",required:!1,default:!1},{name:"text_chunk_size",type:"int",description:"Maximum characters per text chunk in infinite mode; default 4096.",required:!1,min:1,default:4096},{name:"infinite_chunk_audio_duration_ms",type:"int",description:"Maximum generated audio duration per infinite-mode chunk in milliseconds; default 240000.",required:!1,min:1,default:24e4},{name:"seed",type:"int",description:"Generation seed for reproducible output; default 1234.",required:!1,min:0,default:1234}],session:[{name:"weight_type",type:"enum",description:"MuLa and codec weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"generator_weight_type",type:"enum",description:"MuLa music-token generator weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"Codec weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"generator_weight_context_mb",type:"int",description:"MuLa music-token generator weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"codec_weight_context_mb",type:"int",description:"Codec weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"generator_constant_context_mb",type:"int",description:"MuLa music-token generator reusable constant context size in MiB; default 256.",required:!1,min:1,default:256},{name:"backbone_prefill_graph_arena_mb",type:"int",description:"MuLa music-token generator backbone prefill graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"backbone_step_graph_arena_mb",type:"int",description:"MuLa music-token generator backbone cached-step graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"MuLa music-token generator decoder prefill graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_step_graph_arena_mb",type:"int",description:"MuLa music-token generator decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"frame_embedding_graph_arena_mb",type:"int",description:"MuLa music-token generator frame-embedding graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"flow_estimator_graph_arena_mb",type:"int",description:"Codec flow-estimator graph arena size in MiB; default 2048.",required:!1,min:1,default:2048},{name:"conditioning_graph_arena_mb",type:"int",description:"Codec conditioning graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"scalar_decoder_graph_arena_mb",type:"int",description:"Codec scalar-decoder graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs after each request; default false.",required:!1,default:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"heartmula_q8_0",tags:["Music","GGUF"],docs:["docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"heartmula_q8_0",display_name:"HeartMuLa Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"HeartMuLa-GGUF",files:["HeartMuLa-GGUF/heartmula-q8_0.gguf"],strip_prefix:"HeartMuLa-GGUF"},{id:"heartmula_f16",display_name:"HeartMuLa F16 GGUF",format:"gguf",precision:"f16",target_directory:"HeartMuLa-GGUF",files:["HeartMuLa-GGUF/heartmula-f16.gguf"],strip_prefix:"HeartMuLa-GGUF"}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tokenizer_json:"model:tokenizer.json",generation_config:"model:gen_config.json",mula_config:"model:HeartMuLa-oss-3B/config.json",codec_config:"model:HeartCodec-oss/config.json"},tensors:{mula_weights:{source:"weights:",prefix:"mula_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:"."},files:{tokenizer_json:"model:tokenizer.json",generation_config:"model:gen_config.json",mula_config:"model:HeartMuLa-oss-3B/config.json",codec_config:"model:HeartCodec-oss/config.json"},tensors:{mula_weights:"model:HeartMuLa-oss-3B/model.safetensors.index.json",codec_weights:"model:HeartCodec-oss/model.safetensors.index.json"}}]},N_={schema_version:1,family:"higgs_audio_stt",display_name:"Higgs Audio v3 STT",description:"Boson AI English speech-to-text model combining a Whisper Large v3 speech encoder with a Qwen decoder for robust ASR.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["en"],capabilities:{},dependencies:[],options:{request:[{name:"language",type:"string",description:"Transcript language code metadata; English is used when omitted.",required:!1},{name:"max_tokens",type:"int",description:"Maximum generated transcript tokens; default 1024.",required:!1,min:1,default:1024},{name:"enable_thinking",type:"bool",description:"Enable the model thinking prompt; default true.",required:!1,default:!0},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode; default auto uses fixed chunks.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Fixed audio chunk duration in seconds; must be positive when set; default 4.",required:!1,min:0,default:4}],session:[{name:"weight_type",type:"enum",description:"Shared text decoder weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"audio_encoder_weight_type",type:"enum",description:"Audio encoder convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"text_decoder_weight_type",type:"enum",description:"Text decoder matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"audio_encoder_graph_arena_mb",type:"int",description:"Audio encoder graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"text_decoder_prefill_graph_arena_mb",type:"int",description:"Text decoder prefill graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"text_decoder_decode_graph_arena_mb",type:"int",description:"Text decoder cached-step graph arena size in MiB; default 256.",required:!1,min:0,default:256},{name:"text_decoder_weight_context_mb",type:"int",description:"Text decoder weight context arena size in MiB; default 4096.",required:!1,min:0,default:4096}],load:[]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"higgs_audio_stt_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"higgs_audio_stt_q8_0",display_name:"Higgs Audio v3 STT Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Higgs-Audio-v3-STT-GGUF",files:["Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-q8_0.gguf"],strip_prefix:"Higgs-Audio-v3-STT-GGUF"},{id:"higgs_audio_stt_f16",display_name:"Higgs Audio v3 STT F16 GGUF",format:"gguf",precision:"f16",target_directory:"Higgs-Audio-v3-STT-GGUF",files:["Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-f16.gguf"],strip_prefix:"Higgs-Audio-v3-STT-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:".",whisper:"../whisper-large-v3"},files:{config:"model:config.json",generation_config:"model:generation_config.json",preprocessor_config:"whisper:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},tensors:{weights:"model:model.safetensors.index.json"}}]},H_={family:"higgs_audio_tts",display_name:"Higgs Audio v3 TTS",description:"Boson AI conversational TTS model for expressive speech across 100+ languages, zero-shot voice cloning, and inline control over emotion, style, prosody, pauses, and sound effects.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["100+ languages"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"higgs_audio_tts_4b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"higgs_audio_tts_4b_q8_0",display_name:"Higgs Audio v3 TTS 4B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Higgs-Audio-v3-TTS-4B-GGUF",files:["Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-q8_0.gguf"],strip_prefix:"Higgs-Audio-v3-TTS-4B-GGUF"},{id:"higgs_audio_tts_4b_bf16",display_name:"Higgs Audio v3 TTS 4B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Higgs-Audio-v3-TTS-4B-GGUF",files:["Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-bf16.gguf"],strip_prefix:"Higgs-Audio-v3-TTS-4B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja"},tensors:{weights:"model:model.safetensors.index.json"}}]},Q_={schema_version:1,family:"htdemucs",display_name:"HTDemucs",description:"Hybrid Transformer Demucs music source-separation model that combines waveform and spectrogram processing with Transformer layers to split mixtures into vocals, drums, bass, and accompaniment.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"HTDemucs weight storage type; default is f32 for host graph planning, f16 on CUDA, otherwise native.",preset:"weight_type_full",required:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"htdemucs_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"htdemucs_q8_0",display_name:"HTDemucs Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"HTDemucs-GGUF",files:["HTDemucs-GGUF/htdemucs-q8_0.gguf"],strip_prefix:"HTDemucs-GGUF"},{id:"htdemucs_f16",display_name:"HTDemucs F16 GGUF",format:"gguf",precision:"f16",target_directory:"HTDemucs-GGUF",files:["HTDemucs-GGUF/htdemucs-f16.gguf"],strip_prefix:"HTDemucs-GGUF"}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{manifest:"model:manifest.json",submodel_config:"model:955717e8/config.json"},tensors:{submodel_weights:{source:"weights:",prefix:"submodel_weights"}}},{format:"safetensors",roots:{model:".",submodel:"955717e8"},files:{manifest:"model:manifest.json",submodel_config:"submodel:config.json"},tensors:{submodel_weights:"submodel:model.safetensors"}}]},J_={family:"hviske_asr",schema_version:1,display_name:"Hviske ASR",description:"Danish-optimized Conformer encoder-decoder ASR model fine-tuned from the Hviske v5 family, with selectable Cohere ASR language prompts.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["ar","da","de","el","en","es","fr","it","ja","ko","nl","pl","pt","vi","zh"],capabilities:{},dependencies:[],options:{request:[{name:"language",type:"string",description:"ASR language code; default da.",required:!1,default:"da"},{name:"punctuation",type:"bool",description:"Enable or disable punctuation tokens in the decoder prompt; default true.",required:!1,default:!0},{name:"max_tokens",type:"int",description:"Maximum generated transcript tokens; defaults to the model config.",required:!1,min:1},{name:"num_beams",type:"int",description:"Beam-search beam count; default 1 uses greedy or sampling decode.",required:!1,min:1,default:1},{name:"length_penalty",type:"float",description:"Beam-search length penalty; must be positive when set; default 1.0.",required:!1,min:1e-6,default:1},{name:"do_sample",type:"bool",description:"Enable sampling instead of greedy decode when num_beams is 1; default false.",required:!1,default:!1},{name:"temperature",type:"float",description:"Decoder sampling temperature; must be positive when set; default 1.0.",required:!1,min:1e-6,default:1},{name:"top_k",type:"int",description:"Top-k sampling limit; default 50, 0 disables top-k.",required:!1,min:0,default:50},{name:"top_p",type:"float",description:"Nucleus sampling limit in (0, 1]; default 1.0.",required:!1,min:1e-6,max:1,default:1},{name:"seed",type:"int",description:"Decoder sampling seed; random if omitted.",required:!1,min:0},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode; default auto uses quiet-energy splitting only when audio exceeds the model clip window.",values:["auto","fixed","quiet_energy","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Maximum audio chunk duration in seconds; defaults to the model clip window.",required:!1,min:1e-6}],session:[{name:"weight_type",type:"enum",description:"Matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_conv",required:!1},{name:"weight_context_mb",type:"int",description:"Weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"Decoder prefill graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_decode_graph_arena_mb",type:"int",description:"Decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"hviske_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},packages:[{id:"hviske_asr_q8_0",display_name:"Hviske v5.3 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Hviske-v5.3-GGUF",files:["Audio to text (ASR)/hviske-v5.3_Q8.gguf"],strip_prefix:"Audio to text (ASR)",download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}},{id:"hviske_asr_safetensors",display_name:"Hviske v5.3 Safetensors",format:"safetensors",precision:"native",target_directory:"hviske-v5.3",files:["config.json","generation_config.json","model.safetensors","tokenizer.model"],download:{kind:"huggingface_snapshot",repo:"syvai/hviske-v5.3"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.model"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.model"},tensors:{weights:"model:model.safetensors"}}]},W_={family:"index_tts2",display_name:"IndexTTS2",description:"Zero-shot TTS system with voice cloning, emotion-speaker decoupling, text or audio emotion control, and explicit duration control. Variant v2 covers Chinese and English; variant v2.5 (config version 2.5) adds multilingual tiktoken tokenization with Japanese, Spanish and Arabic support.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["zh","en","ja","es","ar"],capabilities:{tts:["emotion_control"],clone:["speaker_reference","emotion_control"]},runtime:{tags:["gguf"]},ui:{recommended_package:"index_tts2_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"index_tts2_q8_0",display_name:"IndexTTS2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-q8_0.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_f16",display_name:"IndexTTS2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-f16.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_orig",display_name:"IndexTTS2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-orig.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_safetensors",display_name:"IndexTTS2 Safetensors",format:"safetensors",precision:"native",target_directory:"IndexTTS-2",files:["config.yaml","bpe.model","gpt.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/index-tts2-mlx"}},{id:"index_tts2_5_q8_0",display_name:"IndexTTS2.5 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-q8_0.gguf"],strip_prefix:"IndexTTS2.5-GGUF"},{id:"index_tts2_5_f16",display_name:"IndexTTS2.5 F16 GGUF",format:"gguf",precision:"f16",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-f16.gguf"],strip_prefix:"IndexTTS2.5-GGUF"},{id:"index_tts2_5_orig",display_name:"IndexTTS2.5 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-orig.gguf"],strip_prefix:"IndexTTS2.5-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.yaml",wav2vec2bert_config:"model:w2v-bert-2.0/config.json",wav2vec2bert_preprocessor_config:"model:w2v-bert-2.0/preprocessor_config.json",bigvgan_config:"model:bigvgan/config.json",qwen_emotion_config:"model:qwen0.6bemo4-merge/config.json",qwen_emotion_generation_config:"model:qwen0.6bemo4-merge/generation_config.json",qwen_emotion_tokenizer:"model:qwen0.6bemo4-merge/tokenizer.json",qwen_emotion_tokenizer_config:"model:qwen0.6bemo4-merge/tokenizer_config.json",qwen_emotion_vocab:"model:qwen0.6bemo4-merge/vocab.json",qwen_emotion_merges:"model:qwen0.6bemo4-merge/merges.txt"},optional_files:{bpe:"model:bpe.model",tiktoken:"model:multilingual_zh_ja_yue_char_del.tiktoken"},tensors:{gpt:{source:"weights:",prefix:"gpt"},s2mel:{source:"weights:",prefix:"s2mel"},speaker_matrix:{source:"weights:",prefix:"speaker_matrix"},emotion_matrix:{source:"weights:",prefix:"emotion_matrix"},wav2vec2bert_stats:{source:"weights:",prefix:"wav2vec2bert_stats"},wav2vec2bert:{source:"weights:",prefix:"wav2vec2bert"},semantic_codec:{source:"weights:",prefix:"semantic_codec"},campplus:{source:"weights:",prefix:"campplus"},bigvgan:{source:"weights:",prefix:"bigvgan"},qwen_emotion:{source:"weights:",prefix:"qwen_emotion"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.yaml",wav2vec2bert_config:"model:w2v-bert-2.0/config.json",wav2vec2bert_preprocessor_config:"model:w2v-bert-2.0/preprocessor_config.json",bigvgan_config:"model:bigvgan/config.json",qwen_emotion_config:"model:qwen0.6bemo4-merge/config.json",qwen_emotion_generation_config:"model:qwen0.6bemo4-merge/generation_config.json",qwen_emotion_tokenizer:"model:qwen0.6bemo4-merge/tokenizer.json",qwen_emotion_tokenizer_config:"model:qwen0.6bemo4-merge/tokenizer_config.json",qwen_emotion_vocab:"model:qwen0.6bemo4-merge/vocab.json",qwen_emotion_merges:"model:qwen0.6bemo4-merge/merges.txt"},optional_files:{bpe:"model:bpe.model",tiktoken:"model:multilingual_zh_ja_yue_char_del.tiktoken"},tensors:{gpt:"model:gpt.safetensors",s2mel:"model:s2mel.safetensors",speaker_matrix:"model:feat1.safetensors",emotion_matrix:"model:feat2.safetensors",wav2vec2bert_stats:"model:wav2vec2bert_stats.safetensors",wav2vec2bert:"model:w2v-bert-2.0/model.safetensors",semantic_codec:"model:semantic_codec_model.safetensors",campplus:"model:campplus.safetensors",bigvgan:"model:bigvgan/model.safetensors",qwen_emotion:"model:qwen0.6bemo4-merge/model.safetensors"}}]},K_={schema_version:1,family:"inflect_v2",display_name:"Inflect Micro v2",description:"Compact English VITS text-to-speech models with a native GGML inference path and an external eSpeak-ng phonemizer.",category:"tts",status:"community",tasks:["tts"],modes:["offline"],languages:["en"],runtime:{tags:["gguf"]},capabilities:{tts:["long_form"]},options:{request:[{name:"speaking_rate",type:"float",description:"Speech speed multiplier mapped directly to Inflect speed; default 1.0.",required:!1,min:.5,max:2,default:1},{name:"variation",type:"float",description:"Latent Gaussian variation; default 0.667.",required:!1,min:0,max:1,default:.667},{name:"seed",type:"int",description:"Non-negative latent noise seed; default 0.",required:!1,min:0,default:0},{name:"text_chunk_mode",type:"enum",description:"Long-form text chunking mode.",values:["word_budget"],required:!1,default:"word_budget"},{name:"text_chunk_size",type:"int",description:"Maximum Unicode codepoints per long-form text chunk; default 280.",required:!1,min:1,default:280}],session:[{name:"espeak_library_path",type:"path",description:"Optional explicit path to the eSpeak-ng shared library.",required:!1},{name:"espeak_data_path",type:"path",description:"Optional explicit path to the directory containing espeak-ng-data.",required:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"inflect_micro_v2_orig",display_name:"Inflect Micro v2 Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Inflect-Micro-v2-GGUF",files:["Inflect-Micro-v2-GGUF/inflect-micro-v2-orig.gguf"],strip_prefix:"Inflect-Micro-v2-GGUF"}],dependencies:[],ui:{recommended_package:"inflect_micro_v2_orig",tags:["TTS","GGUF"],docs:["docs/tts.md","docs/community_models/inflect_v2.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},X_={schema_version:1,family:"irodori_tts",display_name:"Irodori-TTS",description:"Japanese TTS model based on RF-DiT continuous audio latents, supporting zero-shot voice cloning, automatic duration prediction, multimodal voice design, and emoji-style control.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline"],languages:["ja"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},options:{request:[{name:"language",type:"string",description:"Text language code; Irodori-TTS supports Japanese only.",required:!1,default:"ja"},{name:"instruction",type:"string",description:"Natural-language voice or style instruction describing target voice identity, style, or emotion; supported only by caption-conditioned checkpoints. Legacy caption is accepted as an alias.",required:!1},{name:"no_ref",type:"bool",description:"Use no-reference generation; default true unless a speaker reference is provided.",required:!1,default:!0},{name:"num_inference_steps",type:"int",description:"RF diffusion steps; default 40.",required:!1,min:1,default:40},{name:"duration_sec",type:"float",description:"Explicit output duration in seconds; must be positive when set, otherwise predicted duration is used.",required:!1,min:0},{name:"duration_scale",type:"float",description:"Predicted-duration multiplier; must be positive when set; default 1.0.",required:!1,min:0,default:1},{name:"text_chunk_mode",type:"enum",description:"Text chunking mode; default endline.",values:["japanese","endline"],required:!1,default:"endline"},{name:"text_chunk_size",type:"int",description:"Maximum characters per text chunk; default uses the model text-token window.",required:!1,min:1},{name:"min_duration_sec",type:"float",description:"Minimum generated duration in seconds; must be positive and no greater than max_duration_sec; default 0.5.",required:!1,min:0,default:.5},{name:"max_duration_sec",type:"float",description:"Maximum generated duration in seconds; must be at least min_duration_sec; default 30.",required:!1,min:0,default:30},{name:"text_guidance_scale",type:"float",description:"Text classifier-free guidance scale; default 3.0.",required:!1,min:0,default:3},{name:"speaker_guidance_scale",type:"float",description:"Speaker classifier-free guidance scale; default 5.0.",required:!1,min:0,default:5},{name:"caption_guidance_scale",type:"float",description:"Caption classifier-free guidance scale; default 3.0.",required:!1,min:0,default:3},{name:"guidance_scale",type:"float",description:"Override all classifier-free guidance scales when set.",required:!1,min:0},{name:"guidance_mode",type:"enum",description:"Classifier-free guidance combination mode; default independent.",values:["independent","joint","alternating"],required:!1,default:"independent"},{name:"guidance_min_t",type:"float",description:"Minimum diffusion timestep value where guidance is active; default 0.5.",required:!1,min:0,default:.5},{name:"guidance_max_t",type:"float",description:"Maximum diffusion timestep value where guidance is active; default 1.0.",required:!1,min:0,default:1},{name:"seed",type:"int",description:"Generation seed for reproducible output; omitted uses a random seed.",required:!1,min:0},{name:"trim_tail",type:"bool",description:"Trim trailing silence-like samples; default true.",required:!1,default:!0}],session:[{name:"weight_type",type:"enum",description:"Model weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"codec_weight_type",type:"enum",description:"DACVAE codec weight storage type; default native.",preset:"weight_type_codec_q8",required:!1,default:"native"},{name:"codec_backend",type:"enum",description:"DACVAE codec execution backend. Use cpu as an opt-in workaround for backend-specific codec decoder issues; default same.",values:["same","cpu"],required:!1,default:"same"},{name:"condition_graph_arena_mb",type:"int",description:"Condition encoder graph arena size in MiB; default 256.",required:!1,min:0,default:256},{name:"rf_graph_arena_mb",type:"int",description:"RF sampler graph arena size in MiB; default 768.",required:!1,min:0,default:768},{name:"codec_graph_arena_mb",type:"int",description:"DACVAE codec graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"condition_weight_context_mb",type:"int",description:"Condition encoder weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"rf_weight_context_mb",type:"int",description:"RF sampler weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"codec_weight_context_mb",type:"int",description:"DACVAE codec weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs after request phases; default true.",required:!1,default:!0},{name:"reference_cache_slots",type:"int",description:"Prepared reference-speaker cache slots; default 1.",required:!1,min:0,default:1}],load:[]},dependencies:[],runtime:{tags:["gguf"]},ui:{recommended_package:"irodori_tts_v4_small_q8_0",tags:["TTS","Clone","Design","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"irodori_tts_v4_small_q8_0",display_name:"Irodori-TTS v4 Small Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-v4-Small-GGUF",files:["Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf"],strip_prefix:"Irodori-TTS-v4-Small-GGUF"},{id:"irodori_tts_v4_small_f16",display_name:"Irodori-TTS v4 Small F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-v4-Small-GGUF",files:["Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf"],strip_prefix:"Irodori-TTS-v4-Small-GGUF"},{id:"irodori_tts_600m_v3_voicedesign_q8_0",display_name:"Irodori-TTS 600M v3 VoiceDesign Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-600M-v3-VoiceDesign-GGUF",files:["Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-q8_0.gguf"],strip_prefix:"Irodori-TTS-600M-v3-VoiceDesign-GGUF"},{id:"irodori_tts_600m_v3_voicedesign_f16",display_name:"Irodori-TTS 600M v3 VoiceDesign F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-600M-v3-VoiceDesign-GGUF",files:["Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-f16.gguf"],strip_prefix:"Irodori-TTS-600M-v3-VoiceDesign-GGUF"},{id:"irodori_tts_500m_v3_q8_0",display_name:"Irodori-TTS 500M v3 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-500M-v3-GGUF",files:["Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-q8_0.gguf"],strip_prefix:"Irodori-TTS-500M-v3-GGUF"},{id:"irodori_tts_500m_v3_f16",display_name:"Irodori-TTS 500M v3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-500M-v3-GGUF",files:["Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-f16.gguf"],strip_prefix:"Irodori-TTS-500M-v3-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{model_config:"model:model_config.json"},optional_files:{tokenizer_json:"model:tokenizer.json",tokenizer_v4_json:"model:tokenizer/tokenizer.json",pretrained_text_config:"model:text_encoder_config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:".",tokenizer:"../llm-jp-3-150m",codec:"../Semantic-DACVAE-Japanese-32dim"},files:{model_config:"model:model_config.json"},optional_files:{tokenizer_json:"tokenizer:tokenizer.json",tokenizer_v4_json:"model:tokenizer/tokenizer.json",pretrained_text_config:"model:text_encoder_config.json"},tensors:{model_weights:"model:model.safetensors",codec_weights:"codec:weights.safetensors"}}]},Z_={schema_version:1,family:"kroko_asr",display_name:"Kroko Community ASR",description:"Native Zipformer2 RNN-T transcription for the public free Kroko Community single-language packages, with offline and stateful streaming inference, greedy and modified beam decoding, hotwords, endpoint segments, partial results, and word timestamps.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["de","en","es","fr","it","he","nl","pt","sv","tr"],capabilities:{asr:["word_timestamps","partial_results","segments"]},options:{request:[{name:"language",type:"string",description:"Language code matching the selected single-language Kroko package; default auto uses the package language.",required:!1,default:"auto"},{name:"decoding_method",type:"enum",description:"RNN-T decoding method; greedy search remains the parity-tested default.",values:["greedy_search","modified_beam_search"],required:!1,default:"greedy_search"},{name:"num_beams",type:"int",description:"Maximum active hypotheses retained by modified beam search.",required:!1,min:1,max:64,default:4},{name:"blank_penalty",type:"float",description:"Non-negative score subtracted from the RNN-T blank logit.",required:!1,min:0,default:0},{name:"hotwords",type:"string",description:"Slash- or newline-separated natural-text phrases; requires modified beam search.",required:!1},{name:"hotwords_score",type:"float",description:"Non-negative per-token context boost for hotword phrases.",required:!1,min:0,default:1.5},{name:"enable_endpoint",type:"bool",description:"Enable automatic endpoint speech segments.",required:!1,default:!1},{name:"rule1_min_trailing_silence_sec",type:"float",description:"Endpoint timeout in seconds even when no speech token was decoded.",required:!1,min:0,default:2.4},{name:"rule2_min_trailing_silence_sec",type:"float",description:"Endpoint silence in seconds after a speech token was decoded.",required:!1,min:0,default:1.2},{name:"rule3_min_utterance_length_sec",type:"float",description:"Maximum utterance duration in seconds before an endpoint.",required:!1,min:0,default:20}],session:[],load:[]},runtime:{tags:["gguf","stream"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokens:"model:tokens.txt"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokens:"model:tokens.txt"},tensors:{weights:"model:model.safetensors"}}],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"kroko_asr_community_q8_0",display_name:"Kroko Community ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Kroko-ASR-GGUF",files:["Kroko-ASR-GGUF/kroko-en-community-64-l-q8_0.gguf"],strip_prefix:"Kroko-ASR-GGUF"}],dependencies:[],ui:{recommended_package:"kroko_asr_community_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/community_models/kroko_asr.md","docs/gguf.md"]}},Y_={schema_version:1,family:"mel_band_roformer",display_name:"Mel-Band RoFormer",description:"Music source-separation model that uses mel-scaled overlapping frequency bands and RoFormer attention to estimate stems such as vocals, drums, and accompaniment.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"RoFormer weight storage type. Defaults to f32 when the backend requires a host graph plan, otherwise native.",preset:"weight_type_full",required:!1},{name:"num_overlap",type:"int",description:"Number of overlapping inference windows; defaults to the package configuration. Lower values improve throughput but can reduce boundary quality.",required:!1,min:1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"mel_band_roformer_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"mel_band_roformer_q8_0",display_name:"Mel-Band RoFormer Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Mel-Band-RoFormer-GGUF",files:["Mel-Band-RoFormer-GGUF/mel-band-roformer-q8_0.gguf"],strip_prefix:"Mel-Band-RoFormer-GGUF"},{id:"mel_band_roformer_f16",display_name:"Mel-Band RoFormer F16 GGUF",format:"gguf",precision:"f16",target_directory:"Mel-Band-RoFormer-GGUF",files:["Mel-Band-RoFormer-GGUF/mel-band-roformer-f16.gguf"],strip_prefix:"Mel-Band-RoFormer-GGUF"},{id:"mel_band_roformer_safetensors",display_name:"Mel RoFormer Safetensors",format:"safetensors",precision:"native",target_directory:"mel-roformer-mlx",files:["config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/mel-roformer-mlx"}}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},eg={schema_version:1,family:"minimax_h3",display_name:"MiniMax-H3",description:"MiniMax-H3 text-to-audio/video generation through the official T2VA pipeline: Qwen3-VL text conditioning, joint audio/video DiT denoising, and MiniMax-H3 audio/video VAE decode.",category:"audio_generation",status:"experimental",tasks:["tts","music","sfx"],modes:["offline"],languages:["auto"],capabilities:{tts:["style_control","multi_speaker"],music:["instrumental","style_control"],sfx:["prompt_generation"]},runtime:{tags:["cuda","gguf"]},ui:{recommended_package:"minimax_h3_q4_k",tags:["TTS","Music","SFX","GGUF"],docs:["docs/community_models/minimax_h3.md","docs/reports/minimax_h3_performance.md"]},options:{request:[{name:"num_inference_steps",type:"int",description:"Joint DiT denoising steps.",required:!1,min:1,default:50},{name:"seed",type:"int",description:"Generation seed for deterministic initial latents.",required:!1,min:0,default:42},{name:"height",type:"int",description:"Target video canvas height used by the joint T2VA latent layout.",required:!1,min:32,default:768},{name:"width",type:"int",description:"Target video canvas width used by the joint T2VA latent layout.",required:!1,min:32,default:1344},{name:"num_frames",type:"int",description:"Target video frame count before H3 alignment. MiniMax-H3 video is 24 fps.",required:!1,min:5,default:124},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale; 1.0 matches the baseline T2VA audio run.",required:!1,min:0,default:1},{name:"sampler",type:"enum",description:"Joint DiT sampler: euler, res_multistep, dpmpp_2m, or unipc.",values:["euler","res_multistep","dpmpp_2m","unipc"],required:!1,default:"euler"},{name:"negative_prompt",type:"string",description:"Negative prompt used by classifier-free guidance when guidance_scale is not 1.0.",required:!1,default:" "},{name:"flow_shift",type:"float",description:"Video FlowMatch scheduler shift.",required:!1,default:12},{name:"audio_flow_shift",type:"float",description:"Audio FlowMatch scheduler shift.",required:!1,default:3},{name:"return_video",type:"bool",description:"Decode and return RGB24 video frames as an output artifact.",required:!1,default:!1},{name:"text_layerwise",type:"bool",description:"Run the prompt encoder with scoped layer-group weights instead of a full prompt encoder weight store.",required:!1,default:!1},{name:"text_layerwise_batch",type:"int",description:"Prompt encoder layer-group size when text_layerwise is enabled.",required:!1,min:1,default:1},{name:"dit_layerwise",type:"bool",description:"Run the DiT denoiser with scoped prelude, block-group, and final weights instead of a full DiT weight store.",required:!1,default:!1},{name:"dit_layerwise_batch",type:"int",description:"DiT block-group size when dit_layerwise is enabled.",required:!1,min:1,default:1},{name:"dit_mlp_chunk_tokens",type:"int",description:"Token chunk size for the per-token DiT MLP in layerwise high-resolution mode. Zero disables chunking.",required:!1,min:0,default:0},{name:"dit_acceleration",type:"string",description:"Optional DiT acceleration mode: none, first_block_cache, or spectrum.",required:!1,default:"none"},{name:"first_block_cache_threshold",type:"float",description:"First-block cache residual-difference threshold.",required:!1,min:0,default:.1},{name:"first_block_cache_start_sigma",type:"float",description:"Largest video sigma where first-block cache may be used.",required:!1,default:.95},{name:"first_block_cache_end_sigma",type:"float",description:"Smallest video sigma where first-block cache may be used.",required:!1,default:.1},{name:"first_block_cache_max_consecutive",type:"int",description:"Maximum consecutive first-block cache hits before forcing a full DiT step.",required:!1,min:1,default:2},{name:"spectrum_warmup_steps",type:"int",description:"Full DiT warmup steps before spectrum forecasting may skip steps.",required:!1,min:1,default:1},{name:"spectrum_initial_window",type:"float",description:"Initial spectrum forecast scheduling window.",required:!1,min:1,default:2},{name:"spectrum_flex_window",type:"float",description:"Spectrum forecast window growth after actual DiT steps.",required:!1,min:0,default:.75},{name:"spectrum_degree",type:"int",description:"Chebyshev polynomial degree for spectrum forecasting.",required:!1,min:0,default:1},{name:"spectrum_history_size",type:"int",description:"Maximum spectrum forecast history rows.",required:!1,min:1,default:8},{name:"spectrum_ridge_lambda",type:"float",description:"Ridge regularization for spectrum forecasting.",required:!1,min:0,default:.1}],session:[{name:"weight_context_mb",type:"int",description:"MiniMax-H3 staged weight context size in MiB.",required:!1,min:1,default:512},{name:"mem_saver",type:"bool",description:"Release staged DiT, audio VAE, and video VAE weights after their request phase instead of keeping them resident for the session. Prompt encoder weights are always request-scoped.",required:!1,default:!0}],load:[]},dependencies:[],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"minimax_h3_q4_k",display_name:"MiniMax-H3 Q4_K GGUF",default:!0,format:"gguf",precision:"q4_k",target_directory:"MiniMax-H3-Q4-GGUF",files:["MiniMax-H3-Q4-GGUF/configuration.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/chat_template.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/merges.txt","MiniMax-H3-Q4-GGUF/FL2VA/processor/preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/video_preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/vocab.json","MiniMax-H3-Q4-GGUF/text_encoder_q4_k.gguf","MiniMax-H3-Q4-GGUF/dit.gguf","MiniMax-H3-Q4-GGUF/audio_vae_folded_f16.gguf","MiniMax-H3-Q4-GGUF/video_vae.gguf"],strip_prefix:"MiniMax-H3-Q4-GGUF"},{id:"minimax_h3_q4_k_int8_dit",display_name:"MiniMax-H3 Q4_K GGUF + INT8 ConvRot DiT",default:!1,format:"gguf",precision:"q4_k",target_directory:"MiniMax-H3-Q4-GGUF",files:["MiniMax-H3-Q4-GGUF/configuration.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/chat_template.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/merges.txt","MiniMax-H3-Q4-GGUF/FL2VA/processor/preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/video_preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/vocab.json","MiniMax-H3-Q4-GGUF/text_encoder_q4_k.gguf","MiniMax-H3-Q4-GGUF/dit_int8.gguf","MiniMax-H3-Q4-GGUF/audio_vae_folded_f16.gguf","MiniMax-H3-Q4-GGUF/video_vae.gguf"],strip_prefix:"MiniMax-H3-Q4-GGUF"}],sources:[{format:"gguf",roots:{model:"."},files:{configuration:"model:configuration.json",tokenizer_config:"model:FL2VA/processor/tokenizer_config.json",tokenizer_json:"model:FL2VA/processor/tokenizer.json",vocab:"model:FL2VA/processor/vocab.json",merges:"model:FL2VA/processor/merges.txt",preprocessor_config:"model:FL2VA/processor/preprocessor_config.json"},tensors:{text_encoder_weights:"model:text_encoder_q4_k.gguf",dit_weights:"model:dit.gguf",audio_vae_weights:"model:audio_vae_folded_f16.gguf",video_vae_weights:"model:video_vae.gguf"}}]},tg={family:"miocodec",display_name:"MioCodec",description:"Lightweight neural audio codec that encodes 44.1 kHz audio into a low-rate 25 Hz discrete token stream and decodes tokens with speaker conditioning for efficient speech modeling.",category:"audio_tools",status:"supported",tasks:["codec","vc","s2s"],modes:["offline"],languages:["language_agnostic"],capabilities:{codec:["encode_decode"],vc:["speaker_reference"],s2s:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"miocodec_q8_0",tags:["Codec","VC","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"miocodec_q8_0",display_name:"MioCodec 25Hz 44.1kHz v2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-q8_0.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"},{id:"miocodec_f16",display_name:"MioCodec 25Hz 44.1kHz v2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-f16.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"},{id:"miocodec_orig",display_name:"MioCodec 25Hz 44.1kHz v2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-orig.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.yaml"},tensors:{weights:{source:"weights:",prefix:"weights"},wavlm_weights:{source:"weights:",prefix:"wavlm_weights"}}},{format:"safetensors",roots:{model:".",wavlm:"wavlm-base-plus-mlx"},files:{config:"model:config.yaml"},tensors:{weights:"model:model.safetensors",wavlm_weights:"wavlm:weights.safetensors"}}]},ig={family:"miotts",display_name:"MioTTS",description:"Lightweight LLM-based English and Japanese TTS family built on MioCodec, supporting low-latency speech generation and zero-shot voice cloning from short reference audio.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["en","ja"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"miotts_1_7b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"miotts_1_7b_q8_0",display_name:"MioTTS 1.7B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-q8_0.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"},{id:"miotts_1_7b_bf16",display_name:"MioTTS 1.7B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-bf16.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"},{id:"miotts_1_7b_orig",display_name:"MioTTS 1.7B Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-orig.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},optional_files:{tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},optional_files:{tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},og={family:"moss_tts_local",display_name:"MOSS-TTS-Local",description:"Flagship MOSS-TTS model for high-fidelity 31-language and code-switched speech, zero-shot voice cloning, long-form generation, and fine-grained Pinyin, phoneme, and duration control.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["ar","cs","da","de","el","en","es","fa","fi","fr","he","hi","hu","it","ja","ko","mk","ms","nl","pl","pt","ro","ru","sv","sw","th","tl","tr","vi","yue","zh"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"moss_tts_local_v1_5_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/models/moss_tts.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"moss_tts_local_v1_5_q8_0",display_name:"MOSS-TTS-Local v1.5 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MOSS-TTS-Local-v1.5-GGUF",files:["MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-q8_0.gguf"],strip_prefix:"MOSS-TTS-Local-v1.5-GGUF"},{id:"moss_tts_local_v1_5_bf16",display_name:"MOSS-TTS-Local v1.5 BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MOSS-TTS-Local-v1.5-GGUF",files:["MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-bf16.gguf"],strip_prefix:"MOSS-TTS-Local-v1.5-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt",audio_tokenizer_config:"model:audio_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:".",audio_tokenizer:"audio_tokenizer"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt",audio_tokenizer_config:"audio_tokenizer:config.json"},tensors:{model_weights:"model:model.safetensors",audio_tokenizer_weights:"audio_tokenizer:model.safetensors.index.json"}}]},ng={family:"moss_tts_nano",display_name:"MOSS-TTS-Nano",description:"Compact deployment-first MOSS-TTS model for real-time multilingual speech generation, lightweight integration, and zero-shot voice cloning.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["ar","cs","da","de","el","en","es","fa","fr","hu","it","ja","ko","pl","pt","ru","sv","tr","zh"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"moss_tts_nano_100m_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/models/moss_tts.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"moss_tts_nano_100m_q8_0",display_name:"MOSS-TTS-Nano 100M Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MOSS-TTS-Nano-100M-GGUF",files:["MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-q8_0.gguf"],strip_prefix:"MOSS-TTS-Nano-100M-GGUF"},{id:"moss_tts_nano_100m_bf16",display_name:"MOSS-TTS-Nano 100M BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MOSS-TTS-Nano-100M-GGUF",files:["MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-bf16.gguf"],strip_prefix:"MOSS-TTS-Nano-100M-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_model:"model:tokenizer.model",audio_tokenizer_config:"model:audio_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:".",audio_tokenizer:"audio_tokenizer"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_model:"model:tokenizer.model",audio_tokenizer_config:"audio_tokenizer:config.json"},tensors:{model_weights:"model:model.safetensors",audio_tokenizer_weights:"audio_tokenizer:model.safetensors.index.json"}}]},sg={schema_version:1,family:"muscriptor",display_name:"MuScriptor",description:"MuScriptor is an audio-to-symbolic model that converts music audio into symbolic note events or MIDI files, with instrument constraints, sampling, beam search, batch chunk decoding, and streaming final-result output.",category:"audio_tools",status:"supported",tasks:["midi"],modes:["offline","streaming"],languages:["music"],runtime:{tags:["gguf","stream"]},capabilities:{},options:{request:[{name:"instruments",type:"string",description:"Comma-separated instrument group names to constrain generated MIDI events; empty allows all instruments.",required:!1,default:""},{name:"output_format",type:"enum",description:"Primary output serialization written by --out; midi writes a MIDI file, json writes generated note events. Default midi.",values:["midi","json"],required:!1,default:"midi"},{name:"max_tokens",type:"int",description:"Maximum generated MIDI-event token count per chunk; default 2000.",required:!1,min:1,default:2e3},{name:"do_sample",type:"bool",description:"Use temperature sampling instead of greedy token selection; default false.",required:!1,default:!1},{name:"temperature",type:"float",description:"Sampling temperature when do_sample=true; 0 is accepted for compatibility and behaves deterministically, default 1.0.",required:!1,min:0,default:1},{name:"guidance_scale",type:"float",description:"Classifier-free guidance coefficient; 1 disables CFG, default 1.0.",required:!1,default:1},{name:"batch_size",type:"int",description:"Number of audio chunks processed per batch when prelude_forcing=false; default 1.",required:!1,min:1,default:1},{name:"num_beams",type:"int",description:"Beam-search width; 1 disables beam search, default 1.",required:!1,min:1,default:1},{name:"prelude_forcing",type:"bool",description:"Force open-note prelude tokens between sequential chunks; default true.",required:!1,default:!0},{name:"seed",type:"int",description:"Sampling seed; default 0.",required:!1,min:0,default:0}],session:[{name:"weight_type",type:"enum",description:"Transformer weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"perf_mode",type:"enum",description:"Decoder attention mode; flash_attention uses the CUDA fast path, off keeps the exact attention path. Default flash_attention.",values:["off","flash_attention"],required:!1,default:"flash_attention"},{name:"weight_context_mb",type:"int",description:"Weight context arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"conditioning_graph_arena_mb",type:"int",description:"Condition graph arena size in MiB; default 128.",required:!1,min:1,default:128},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"Decoder prefill graph arena size in MiB; default 768.",required:!1,min:1,default:768},{name:"decoder_decode_graph_arena_mb",type:"int",description:"Decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"muscriptor_small_f32",display_name:"MuScriptor Small F32 GGUF",default:!0,format:"gguf",precision:"f32",target_directory:"MuScriptor-Small-GGUF",files:["MuScriptor-Small-GGUF/muscriptor-small-f32.gguf"],strip_prefix:"MuScriptor-Small-GGUF"}],dependencies:[],ui:{recommended_package:"muscriptor_small_f32",tags:["Music","MIDI","GGUF","Stream"],docs:["docs/models/muscriptor.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},ag={family:"nemotron_asr",display_name:"Nemotron 3.5 ASR",description:"NVIDIA 600M streaming ASR model for low-latency and batch transcription across 40 language-locales, with native punctuation, capitalization, automatic language detection, and configurable chunk sizes.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["ar-AR","bg-BG","cs-CZ","da-DK","de-DE","el-GR","en-GB","en-US","es-ES","es-US","et-EE","fi-FI","fr-CA","fr-FR","he-IL","hi-IN","hr-HR","hu-HU","it-IT","ja-JP","ko-KR","lt-LT","lv-LV","mt-MT","nb-NO","nl-NL","nn-NO","pl-PL","pt-BR","pt-PT","ro-RO","ru-RU","sk-SK","sl-SI","sv-SE","th-TH","tr-TR","uk-UA","vi-VN","zh-CN"],capabilities:{},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"nemotron_asr_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"nemotron_asr_q8_0",display_name:"Nemotron 3.5 ASR Streaming 0.6B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF",files:["Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf"],strip_prefix:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF"},{id:"nemotron_asr_f16",display_name:"Nemotron 3.5 ASR Streaming 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF",files:["Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-f16.gguf"],strip_prefix:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF"},{id:"nemotron_asr_safetensors",display_name:"Nemotron 3.5 ASR Streaming 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"nemotron-3.5-asr-streaming-0.6b",files:["config.json","model.safetensors","processor_config.json","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"nvidia/nemotron-3.5-asr-streaming-0.6b"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},rg={schema_version:1,family:"neutts",display_name:"NeuTTS",description:"NeuTTS is an English text-to-speech family from Neuphonic. The current 2E package uses a Qwen3-style autoregressive speech-token backbone, NeuCodec waveform decoding, built-in speaker prompts, and emotion-token control.",category:"tts",status:"supported",tasks:["tts"],modes:["offline","streaming"],languages:["en"],runtime:{tags:["gguf","stream"]},capabilities:{tts:["built_in_voices","emotion_control","long_form"]},options:{request:[{name:"voice_id",type:"enum",description:"Built-in NeuTTS speaker prompt; default emily.",values:["dave","emily","greta","jo","juliette","mateo","paul","sophie","steven"],required:!1,default:"emily"},{name:"emotion",type:"enum",description:"Optional emotion token inserted between reference text and target text; neutral inserts no emotion token.",values:["angry","disgusted","sad","happy","fearful","neutral","surprised"],required:!1,default:"neutral"},{name:"max_tokens",type:"int",description:"Maximum generated speech-token count for the autoregressive generator; 0 uses the remaining model context, default 0.",required:!1,min:0,default:0},{name:"min_tokens",type:"int",description:"Minimum generated speech-token count before EOS may stop generation; default 50.",required:!1,min:0,default:50},{name:"temperature",type:"float",description:"Autoregressive sampling temperature; must be positive, default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Autoregressive top-k sampling limit; default 50.",required:!1,min:1,default:50},{name:"seed",type:"int",description:"Autoregressive sampling seed; omitted requests choose a random seed.",required:!1,min:0},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode for long-form synthesis.",values:["default","tag_aware","japanese","endline"],required:!1,default:"default"},{name:"text_chunk_size",type:"int",description:"Maximum Unicode codepoints per long-form text chunk; default 600.",required:!1,min:1,default:600}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type for the backbone and codec decoder; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"generator_weight_type",type:"enum",description:"Backbone matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"NeuCodec decoder matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_conv_weight_type",type:"enum",description:"NeuCodec convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"runtime_graph_arena_mb",type:"int",description:"Reusable ggml graph arena size in MiB for NeuTTS runtime graphs; default 1024.",required:!1,min:1,default:1024}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"neutts_2e_orig",display_name:"NeuTTS 2E Original-Precision GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"NeuTTS-2E-GGUF",files:["NeuTTS-2E-GGUF/neutts-2e-orig.gguf"],strip_prefix:"NeuTTS-2E-GGUF"}],dependencies:[],ui:{recommended_package:"neutts_2e_orig",tags:["TTS","GGUF","Stream"],docs:["docs/tts.md","docs/models/neutts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja",codec_config:"model:neucodec_config.json",codec_preprocessor_config:"model:neucodec_preprocessor_config.json",speaker_text_dave:"model:samples/dave.txt",speaker_text_emily:"model:samples/emily.txt",speaker_text_greta:"model:samples/greta.txt",speaker_text_jo:"model:samples/jo.txt",speaker_text_juliette:"model:samples/juliette.txt",speaker_text_mateo:"model:samples/mateo.txt",speaker_text_paul:"model:samples/paul.txt",speaker_text_sophie:"model:samples/sophie.txt",speaker_text_steven:"model:samples/steven.txt"},tensors:{backbone:{source:"weights:",prefix:"backbone"},codec:{source:"weights:",prefix:"codec"},speaker_prompts:{source:"weights:",prefix:"speaker_prompts"}}},{format:"safetensors",roots:{model:".",codec:"../NeuCodec"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja",codec_config:"codec:config.json",codec_preprocessor_config:"codec:preprocessor_config.json",speaker_text_dave:"model:samples/dave.txt",speaker_text_emily:"model:samples/emily.txt",speaker_text_greta:"model:samples/greta.txt",speaker_text_jo:"model:samples/jo.txt",speaker_text_juliette:"model:samples/juliette.txt",speaker_text_mateo:"model:samples/mateo.txt",speaker_text_paul:"model:samples/paul.txt",speaker_text_sophie:"model:samples/sophie.txt",speaker_text_steven:"model:samples/steven.txt"},tensors:{backbone:"model:model.safetensors",codec:"codec:model.safetensors",speaker_prompts:"model:samples/speaker_prompts.safetensors"}}]},lg={family:"omnivoice",display_name:"OmniVoice",description:"Massively multilingual zero-shot TTS model from k2-fsa for 600+ languages, supporting short-reference voice cloning, attribute-based voice design, pronunciation controls, and nonverbal tags.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline","streaming"],languages:["600+ languages"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"omnivoice_q8_0",tags:["TTS","Clone","Design","GGUF","Stream"],docs:["docs/models/omnivoice.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"omnivoice_q8_0",display_name:"OmniVoice Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-q8_0.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_bf16",display_name:"OmniVoice BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-bf16.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_f16",display_name:"OmniVoice F16 GGUF",format:"gguf",precision:"f16",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-f16.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_safetensors",display_name:"OmniVoice Safetensors",format:"safetensors",precision:"native",target_directory:"OmniVoice",files:["config.json","model.safetensors","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"k2-fsa/OmniVoice"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",audio_tokenizer_config:"model:audio_tokenizer/config.json",audio_tokenizer_preprocessor:"model:audio_tokenizer/preprocessor_config.json"},optional_files:{chat_template:"model:chat_template.jinja"},tensors:{weights:{source:"weights:",prefix:"weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",audio_tokenizer_config:"model:audio_tokenizer/config.json",audio_tokenizer_preprocessor:"model:audio_tokenizer/preprocessor_config.json"},optional_files:{chat_template:"model:chat_template.jinja"},tensors:{weights:"model:model.safetensors",audio_tokenizer_weights:"model:audio_tokenizer/model.safetensors"}}]},dg={schema_version:1,family:"outetts",display_name:"Llama-OuteTTS 1.0",description:"Llama-based open-weight TTS model for 23-language speech synthesis with one-shot voice cloning from short reference audio and automatic word-alignment support.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["ar","be","bn","de","en","es","fa","fr","hu","it","ja","ka","ko","lt","lv","nl","pl","pt","ru","sw","ta","uk","zh"],capabilities:{clone:["speaker_reference"]},options:{request:[{name:"max_tokens",type:"int",description:"Maximum generated audio tokens per chunk. When omitted, OuteTTS estimates a safe value from each chunk.",required:!1,min:1},{name:"temperature",type:"float",description:"Sampling temperature; default 0.4 for cloning, otherwise model config default.",required:!1,min:0},{name:"top_k",type:"int",description:"Top-k sampling; default 40 for cloning, otherwise model config default.",required:!1,min:0},{name:"top_p",type:"float",description:"Nucleus sampling in (0, 1]; default 0.9 for cloning, otherwise model config default.",required:!1,min:0,max:1},{name:"min_p",type:"float",description:"Minimum probability relative to the best token; default 0.05 for cloning, otherwise model config default.",required:!1,min:0,max:1},{name:"repetition_penalty",type:"float",description:"Positive windowed repetition penalty; default 1.1.",required:!1,min:0,default:1.1},{name:"repetition_window",type:"int",description:"Recent-token penalty window; default 64.",required:!1,min:0,default:64},{name:"seed",type:"int",description:"Sampling seed; cloning defaults to 4099 for native weights and 42 for quantized weights.",required:!1,min:0},{name:"reference_text",type:"string",description:"Transcript matching the reference voice audio for voice cloning.",required:!1},{name:"reference_language",type:"string",description:"Language code used to align the reference transcript; default en.",required:!1,default:"en"},{name:"text_chunk_size",type:"int",description:"Maximum UTF-8 codepoints per long-form text chunk; default 256. Chunks are split further when required by max_tokens or context budget.",required:!1,min:1,default:256},{name:"text_chunk_mode",type:"enum",description:"Framework long-form text chunking mode; default word_budget.",preset:"text_chunk_mode_full",required:!1,default:"word_budget"}],session:[{name:"weight_type",type:"enum",description:"Language-model weight storage type. Quantized CUDA voice cloning is expanded to F32 in memory for generation correctness.",preset:"weight_type_full",required:!1,default:"native"},{name:"llama_weight_context_mb",type:"int",description:"Language-model weight context size in MiB; default 4096.",required:!1,min:1,default:4096},{name:"constant_context_mb",type:"int",description:"Language-model constant tensor context size in MiB; default 256.",required:!1,min:1,default:256},{name:"dac_weight_context_mb",type:"int",description:"DAC decoder weight context size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"dac_graph_arena_mb",type:"int",description:"DAC decoder graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"aligner_path",type:"path",description:"Optional Qwen3 Forced Aligner override. Cloning automatically uses the aligner embedded in a standalone OuteTTS GGUF when present.",required:!1},{name:"reference_cache_slots",type:"int",description:"Prepared reference-profile cache slots; default 1, set 0 to disable.",required:!1,min:0,default:1},{name:"mem_saver",type:"bool",description:"Release cached-step and aligner runtime state after use; default false.",required:!1,default:!1}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",dac_config:"model:dac/config.json"},optional_files:{aligner_config:"model:aligner/config.json",aligner_generation_config:"model:aligner/generation_config.json",aligner_tokenizer_config:"model:aligner/tokenizer_config.json",aligner_preprocessor_config:"model:aligner/preprocessor_config.json",aligner_processor_config:"model:aligner/processor_config.json",aligner_chat_template:"model:aligner/chat_template.json",aligner_chat_template_jinja:"model:aligner/chat_template.jinja",aligner_vocab:"model:aligner/vocab.json",aligner_merges:"model:aligner/merges.txt",aligner_tokenizer_json:"model:aligner/tokenizer.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},dac_weights:{source:"weights:",prefix:"dac_weights"},aligner_weights:{source:"weights:",prefix:"aligner_weights"}}},{format:"safetensors",roots:{model:".",dac:"../DAC.speech.v1.0"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",dac_config:"dac:config.json"},tensors:{model_weights:"model:model.safetensors",dac_weights:"dac:model.safetensors"}}],packages:[{id:"outetts_1_0_1b_q8_0",display_name:"Llama-OuteTTS 1.0 1B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Llama-OuteTTS-1.0-1B_Q8",files:["Text to audio (TTS)/Llama-OuteTTS-1.0-1B_Q8.gguf"],download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}}],dependencies:[],ui:{recommended_package:"outetts_1_0_1b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/outetts.md","docs/reports/outetts_validation.md","docs/gguf.md"]}},cg={schema_version:1,family:"parakeet_tdt",display_name:"Parakeet-TDT 0.6B v3",description:"NVIDIA Parakeet-TDT 0.6B v3 FastConformer-TDT ASR covering 25 European languages with automatic language detection. Supports the upstream Transformers-compatible safetensors package and standalone audio.cpp GGUF, with offline full-context, bounded-window long-form, and buffered streaming; the checkpoint uses unlimited bidirectional attention and is not a native cache-aware streaming model.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["bg","cs","da","de","el","en","es","et","fi","fr","hr","hu","it","lt","lv","mt","nl","pl","pt","ro","ru","sk","sl","sv","uk"],runtime:{tags:["gguf","stream"]},capabilities:{asr:["word_timestamps","partial_results"]},options:{request:[{name:"max_tokens",type:"int",description:"Maximum TDT generated tokens; 0 or omitted uses the model-derived limit.",required:!1,min:0,default:0},{name:"keep_language_tags",type:"bool",description:"Keep language tag tokens in decoded text; default false.",required:!1,default:!1}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"matmul_weight_type",type:"enum",description:"Encoder and decoder matmul weight storage type; defaults to weight_type, which defaults to native. Q8_0 measured 1.79x faster on the tested CPU and changed roughly 8 percent of transcripts without moving aggregate word error rate.",preset:"weight_type_full",required:!1},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"perf_mode",type:"enum",description:"Encoder attention implementation. Default off uses the validated relative-attention path; flash_attention enables the fused implementation, which was numerically validated but slower on the tested hardware.",preset:"perf_mode_flash_attention",required:!1,default:"off"},{name:"weight_context_mb",type:"int",description:"Weight context arena size in MiB; default 3072.",required:!1,min:1,default:3072},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"decoder_graph_arena_mb",type:"int",description:"Decoder graph arena size in MiB; default 256.",required:!1,min:1,default:256},{name:"audio_chunk_duration_sec",type:"float",description:"Center-region duration for buffered streaming in seconds; default 2. Fixed context windows are re-encoded rather than cache-aware.",required:!1,min:.001,default:2},{name:"left_context_sec",type:"float",description:"Past context included when re-encoding each buffered-streaming window in seconds; default 10.",required:!1,min:0,default:10},{name:"right_context_sec",type:"float",description:"Future lookahead included when re-encoding each buffered-streaming window in seconds; default 2 and adds equivalent partial-result latency.",required:!1,min:0,default:2},{name:"streaming_attention_mode",type:"enum",description:"Attention policy inside each buffered window. full_context preserves bidirectional attention over the bounded window.",values:["full_context"],required:!1,default:"full_context"},{name:"offline_mode",type:"enum",description:"Offline encoder scheduling. full_context encodes the whole utterance, long_form uses bounded overlapping windows, and auto selects long_form beyond audio_chunk_threshold_sec.",values:["full_context","long_form","auto"],required:!1,default:"full_context"},{name:"audio_chunk_threshold_sec",type:"float",description:"Duration threshold used by offline_mode=auto before switching to bounded-window long-form execution; default 30 seconds.",required:!1,min:.001,default:30}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"parakeet_tdt_q8_0",display_name:"Parakeet-TDT 0.6B v3 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Parakeet-TDT-0.6B-v3-GGUF",files:["Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-q8_0.gguf"],strip_prefix:"Parakeet-TDT-0.6B-v3-GGUF"},{id:"parakeet_tdt_f16",display_name:"Parakeet-TDT 0.6B v3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Parakeet-TDT-0.6B-v3-GGUF",files:["Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-f16.gguf"],strip_prefix:"Parakeet-TDT-0.6B-v3-GGUF"}],dependencies:[],ui:{recommended_package:"parakeet_tdt_q8_0",tags:["ASR","GGUF"],docs:["docs/community_models/parakeet_tdt.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},ug={family:"pocket_tts",display_name:"PocketTTS",description:"Kyutai 100M-parameter CPU-friendly TTS package set for real-time local synthesis and small-footprint voice cloning in English, German, Italian, Portuguese, and Spanish.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["en","de","it","pt","es"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"pocket_tts_english_q8_0",default_voice:"alba",builtin_voices:["alba"],tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"pocket_tts_english_q8_0",display_name:"PocketTTS English Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/english",files:["PocketTTS-GGUF/english/pocket-tts-english-q8_0.gguf","PocketTTS-GGUF/english/embeddings/alba.safetensors"],strip_prefix:"PocketTTS-GGUF/english"},{id:"pocket_tts_english_bf16",display_name:"PocketTTS English BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/english",files:["PocketTTS-GGUF/english/pocket-tts-english-bf16.gguf","PocketTTS-GGUF/english/embeddings/alba.safetensors"],strip_prefix:"PocketTTS-GGUF/english"},{id:"pocket_tts_german_q8_0",display_name:"PocketTTS German Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/german",files:["PocketTTS-GGUF/german/pocket-tts-german-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/german"},{id:"pocket_tts_german_bf16",display_name:"PocketTTS German BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/german",files:["PocketTTS-GGUF/german/pocket-tts-german-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/german"},{id:"pocket_tts_italian_q8_0",display_name:"PocketTTS Italian Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/italian",files:["PocketTTS-GGUF/italian/pocket-tts-italian-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/italian"},{id:"pocket_tts_italian_bf16",display_name:"PocketTTS Italian BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/italian",files:["PocketTTS-GGUF/italian/pocket-tts-italian-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/italian"},{id:"pocket_tts_portuguese_q8_0",display_name:"PocketTTS Portuguese Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/portuguese",files:["PocketTTS-GGUF/portuguese/pocket-tts-portuguese-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/portuguese"},{id:"pocket_tts_portuguese_bf16",display_name:"PocketTTS Portuguese BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/portuguese",files:["PocketTTS-GGUF/portuguese/pocket-tts-portuguese-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/portuguese"},{id:"pocket_tts_spanish_q8_0",display_name:"PocketTTS Spanish Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/spanish",files:["PocketTTS-GGUF/spanish/pocket-tts-spanish-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/spanish"},{id:"pocket_tts_spanish_bf16",display_name:"PocketTTS Spanish BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/spanish",files:["PocketTTS-GGUF/spanish/pocket-tts-spanish-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/spanish"},{id:"pocket_tts_english_safetensors",display_name:"PocketTTS English Safetensors",format:"safetensors",precision:"native",target_directory:"pocket-tts",files:["languages/english/embeddings/alba.safetensors","languages/english/embeddings/anna.safetensors","languages/english/embeddings/azelma.safetensors","languages/english/embeddings/bill_boerst.safetensors","languages/english/embeddings/caro_davy.safetensors","languages/english/embeddings/charles.safetensors","languages/english/embeddings/cosette.safetensors","languages/english/embeddings/eponine.safetensors","languages/english/embeddings/estelle.safetensors","languages/english/embeddings/eve.safetensors","languages/english/embeddings/fantine.safetensors","languages/english/embeddings/george.safetensors","languages/english/embeddings/giovanni.safetensors","languages/english/embeddings/jane.safetensors","languages/english/embeddings/javert.safetensors","languages/english/embeddings/jean.safetensors","languages/english/embeddings/juergen.safetensors","languages/english/embeddings/lola.safetensors","languages/english/embeddings/marius.safetensors","languages/english/embeddings/mary.safetensors","languages/english/embeddings/michael.safetensors","languages/english/embeddings/paul.safetensors","languages/english/embeddings/peter_yearsley.safetensors","languages/english/embeddings/rafael.safetensors","languages/english/embeddings/stuart_bell.safetensors","languages/english/embeddings/vera.safetensors","languages/english/model.safetensors","languages/english/tokenizer.model"],download:{kind:"huggingface_snapshot",repo:"kyutai/pocket-tts",gated:!0}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tokenizer:"model:tokenizer.model"},optional_files:{config:"model:config.yaml"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{language:"languages/english"},files:{tokenizer:"language:tokenizer.model"},optional_files:{config:"language:config.yaml"},tensors:{weights:"language:model.safetensors"}}]},fg={family:"qwen3_asr",display_name:"Qwen3-ASR",description:"Qwen ASR model family for language identification and speech recognition across 30 languages, 22 Chinese dialects, and multiple English accents, with robustness for noisy, long-form, and singing audio.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["zh","en","yue","ar","de","fr","es","pt","id","it","ko","ru","th","vi","ja","tr","hi","ms","nl","sv","da","fi","pl","cs","fil","fa","el","hu","mk","ro","zh dialects"],capabilities:{asr:["word_timestamps","vad_chunking","partial_results"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"qwen3_asr_1_7b_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/models/qwen3.md","docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_asr_1_7b_q8_0",display_name:"Qwen3-ASR 1.7B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-ASR-1.7B-GGUF",files:["Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-q8_0.gguf"],strip_prefix:"Qwen3-ASR-1.7B-GGUF"},{id:"qwen3_asr_1_7b_f16",display_name:"Qwen3-ASR 1.7B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ASR-1.7B-GGUF",files:["Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-f16.gguf"],strip_prefix:"Qwen3-ASR-1.7B-GGUF"},{id:"qwen3_asr_0_6b_q8_0",display_name:"Qwen3-ASR 0.6B Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-ASR-0.6B-GGUF",files:["Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-q8_0.gguf"],strip_prefix:"Qwen3-ASR-0.6B-GGUF"},{id:"qwen3_asr_0_6b_f16",display_name:"Qwen3-ASR 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ASR-0.6B-GGUF",files:["Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-f16.gguf"],strip_prefix:"Qwen3-ASR-0.6B-GGUF"},{id:"qwen3_asr_1_7b_safetensors",display_name:"Qwen3-ASR 1.7B HF Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ASR-1.7B-hf",files:["config.json","generation_config.json","model.safetensors","processor_config.json","tokenizer_config.json","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ASR-1.7B-hf"}},{id:"qwen3_asr_0_6b_safetensors",display_name:"Qwen3-ASR 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ASR-0.6B",files:["config.json","generation_config.json","model.safetensors","preprocessor_config.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ASR-0.6B"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},mg={family:"qwen3_forced_aligner",display_name:"Qwen3 Forced Aligner",description:"Qwen3 non-autoregressive forced aligner that aligns transcript text to speech and returns word- or character-level timestamps across 11 supported languages.",category:"speech_analysis",status:"supported",tasks:["align"],modes:["offline"],languages:["zh","en","yue","fr","de","it","ja","ko","pt","ru","es"],capabilities:{align:["word_timestamps"]},runtime:{tags:["gguf"]},ui:{recommended_package:"qwen3_forced_aligner_0_6b_q8_0",tags:["Align","GGUF"],docs:["docs/models/qwen3.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_forced_aligner_0_6b_q8_0",display_name:"Qwen3 Forced Aligner 0.6B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-ForcedAligner-0.6B-GGUF",files:["Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-q8_0.gguf"],strip_prefix:"Qwen3-ForcedAligner-0.6B-GGUF"},{id:"qwen3_forced_aligner_0_6b_f16",display_name:"Qwen3 Forced Aligner 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ForcedAligner-0.6B-GGUF",files:["Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-f16.gguf"],strip_prefix:"Qwen3-ForcedAligner-0.6B-GGUF"},{id:"qwen3_forced_aligner_0_6b_safetensors",display_name:"Qwen3 Forced Aligner 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ForcedAligner-0.6B",files:["config.json","generation_config.json","model.safetensors","preprocessor_config.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ForcedAligner-0.6B"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},pg={family:"qwen3_tts",display_name:"Qwen3-TTS",description:"Qwen TTS family for controllable 10-language speech synthesis, including 3-second voice cloning, CustomVoice instruction control over preset timbres, and VoiceDesign from natural-language descriptions.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline"],languages:["zh","en","ja","ko","de","fr","ru","pt","es","it"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf"]},ui:{recommended_package:"qwen3_tts_1_7b_base_q8_0",tags:["TTS","Clone","Design","GGUF"],docs:["docs/models/qwen3.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_tts_1_7b_base_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B Base Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-q8_0_v2.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_bf16",display_name:"Qwen3 TTS 12Hz 1.7B Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_orig",display_name:"Qwen3 TTS 12Hz 1.7B Base Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-orig.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_customvoice_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B CustomVoice Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF",files:["Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF"},{id:"qwen3_tts_1_7b_customvoice_bf16",display_name:"Qwen3 TTS 12Hz 1.7B CustomVoice BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF",files:["Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF"},{id:"qwen3_tts_1_7b_voicedesign_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B VoiceDesign Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF",files:["Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF"},{id:"qwen3_tts_1_7b_voicedesign_bf16",display_name:"Qwen3 TTS 12Hz 1.7B VoiceDesign BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF",files:["Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF"},{id:"qwen3_tts_0_6b_base_q8_0",display_name:"Qwen3 TTS 12Hz 0.6B Base Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-0.6B-Base-GGUF",files:["Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-0.6B-Base-GGUF"},{id:"qwen3_tts_0_6b_base_bf16",display_name:"Qwen3 TTS 12Hz 0.6B Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-0.6B-Base-GGUF",files:["Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-0.6B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_safetensors",display_name:"Qwen3 TTS 12Hz 1.7B Base Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-TTS-12Hz-1.7B-Base",files:["config.json","generation_config.json","model.safetensors","speech_tokenizer/config.json","speech_tokenizer/model.safetensors","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-TTS-12Hz-1.7B-Base"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",speech_tokenizer_config:"model:speech_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",speech_tokenizer_config:"model:speech_tokenizer/config.json"},tensors:{model_weights:"model:model.safetensors",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors"}}]},_g={schema_version:1,family:"rvc",display_name:"RVC",description:"RVC is an offline retrieval-based voice conversion family packaged for audio.cpp with native HuBERT content features, RMVPE pitch extraction, optional IVF retrieval blending, packaged v1/v2 voices, and support for user-supplied RVC checkpoints.",category:"voice_conversion",status:"experimental",tasks:["vc"],modes:["offline"],languages:["language_agnostic"],runtime:{tags:["gguf"]},capabilities:{},options:{request:[{name:"voice_id",type:"enum",description:"Packaged RVC voice id; default selects the v2 default voice. Ignored when voice_model_path is provided.",values:["default","manthos","chocola","fraise"],required:!1,default:"default"},{name:"voice_model_path",type:"path",description:"Optional user RVC .pth or .pt voice checkpoint path. When set, this overrides the packaged voice id.",required:!1},{name:"pitch_extractor",type:"enum",description:"Pitch extraction method for F0-enabled voices; the native path currently supports rmvpe only.",values:["rmvpe"],required:!1,default:"rmvpe"},{name:"pitch_path",type:"path",description:"Optional CSV F0 override file with time,Hz rows sorted by time.",required:!1},{name:"retrieval_index_path",type:"path",description:"Optional user FAISS .index retrieval path used when retrieval_blend is greater than 0 for a user voice model.",required:!1},{name:"retrieval_blend",type:"float",description:"IVF retrieval feature blend rate; default 0 disables retrieval blending.",required:!1,min:0,max:1,default:0},{name:"semitone_shift",type:"int",description:"Semitone pitch shift applied before synthesis; default 0.",required:!1,default:0},{name:"pitch_filter_radius",type:"int",description:"Median filter radius for F0 smoothing; values greater than 2 enable filtering, default 3.",required:!1,min:0,default:3},{name:"output_sample_rate",type:"int",description:"Output sample rate in Hz; default 0 keeps the selected voice model sample rate.",required:!1,min:0,default:0},{name:"rms_mix_rate",type:"float",description:"RMS envelope mix rate applied after conversion; default 0.25.",required:!1,default:.25},{name:"unvoiced_protection",type:"float",description:"Unvoiced consonant protection strength; must be in [0, 1], default 0.33.",required:!1,min:0,max:1,default:.33},{name:"speaker_id",type:"int",description:"Speaker embedding id for multi-speaker RVC checkpoints; default 0.",required:!1,min:0,default:0},{name:"audio_pad_duration_sec",type:"int",description:"Long-audio chunk pad duration in seconds; default 1.",required:!1,min:1,default:1},{name:"split_query_sec",type:"int",description:"Quiet-point query window in seconds for long-audio splitting; default 5.",required:!1,min:1,default:5},{name:"split_center_sec",type:"int",description:"Long-audio split center stride in seconds; default 30.",required:!1,min:1,default:30},{name:"split_threshold_sec",type:"int",description:"Input duration in seconds before quiet-point splitting is used; default 32.",required:!1,min:1,default:32}],session:[{name:"weight_type",type:"enum",description:"Tensor storage type for native RVC, HuBERT, and RMVPE weights; default f32.",preset:"weight_type_full",required:!1,default:"f32"},{name:"voice_cache_slots",type:"int",description:"User voice model cache slots; default 4, set 0 to disable caching.",required:!1,min:0,default:4}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"rvc_f16",display_name:"RVC F16 GGUF",default:!0,format:"gguf",precision:"f16",target_directory:"RVC-GGUF",files:["RVC-GGUF/rvc-f16.gguf"],strip_prefix:"RVC-GGUF"}],dependencies:[],ui:{recommended_package:"rvc_f16",tags:["VC","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{voice_v1_chocola_index:"model:voices/v1/chocola/added_IVF732_Flat_nprobe_1.index",voice_v1_fraise_index:"model:voices/v1/fraise/added_IVF802_Flat_nprobe_1.index",voice_v2_default_index:"model:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.index",voice_v2_manthos_index:"model:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.index"},tensors:{support_hubert_base:{source:"weights:",prefix:"support_hubert_base"},support_rmvpe:{source:"weights:",prefix:"support_rmvpe"},voice_v1_chocola_checkpoint:{source:"weights:",prefix:"voice_v1_chocola_checkpoint"},voice_v1_chocola_index_vectors:{source:"weights:",prefix:"voice_v1_chocola_index_vectors"},voice_v1_fraise_checkpoint:{source:"weights:",prefix:"voice_v1_fraise_checkpoint"},voice_v1_fraise_index_vectors:{source:"weights:",prefix:"voice_v1_fraise_index_vectors"},voice_v2_default_checkpoint:{source:"weights:",prefix:"voice_v2_default_checkpoint"},voice_v2_default_index_vectors:{source:"weights:",prefix:"voice_v2_default_index_vectors"},voice_v2_manthos_checkpoint:{source:"weights:",prefix:"voice_v2_manthos_checkpoint"},voice_v2_manthos_index_vectors:{source:"weights:",prefix:"voice_v2_manthos_index_vectors"}}},{format:"safetensors",roots:{safetensors:"../safetensors"},files:{voice_v1_chocola_index:"safetensors:voices/v1/chocola/added_IVF732_Flat_nprobe_1.index",voice_v1_fraise_index:"safetensors:voices/v1/fraise/added_IVF802_Flat_nprobe_1.index",voice_v2_default_index:"safetensors:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.index",voice_v2_manthos_index:"safetensors:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.index"},tensors:{support_hubert_base:"safetensors:support/hubert_base.safetensors",support_rmvpe:"safetensors:support/rmvpe.safetensors",voice_v1_chocola_checkpoint:"safetensors:voices/v1/chocola/chocola2333333.safetensors",voice_v1_chocola_index_vectors:"safetensors:voices/v1/chocola/added_IVF732_Flat_nprobe_1.ivf.safetensors",voice_v1_fraise_checkpoint:"safetensors:voices/v1/fraise/fraise2333333.safetensors",voice_v1_fraise_index_vectors:"safetensors:voices/v1/fraise/added_IVF802_Flat_nprobe_1.ivf.safetensors",voice_v2_default_checkpoint:"safetensors:voices/v2/default/default.safetensors",voice_v2_default_index_vectors:"safetensors:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.ivf.safetensors",voice_v2_manthos_checkpoint:"safetensors:voices/v2/manthos/manthos.safetensors",voice_v2_manthos_index_vectors:"safetensors:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.ivf.safetensors"}}]},gg={family:"seed_vc",schema_version:1,display_name:"Seed-VC",description:"Zero-shot voice conversion and singing voice conversion model for transferring timbre and style from reference audio, with low-latency realtime conversion and optional lightweight fine-tuning.",category:"voice_conversion",status:"supported",tasks:["vc","svc"],modes:["offline"],languages:["language_agnostic"],capabilities:{vc:["speaker_reference"],svc:["speaker_reference","singing"]},dependencies:[],runtime:{tags:["gguf"]},ui:{recommended_package:"seed_vc_mlx_q8_0",tags:["VC","GGUF"],docs:["docs/models/seed_vc.md","docs/audio_tools.md","docs/gguf.md"]},options:{request:[{name:"route",type:"enum",description:"Select the Seed-VC conversion route. Defaults to v2_vc for VC and v1_svc for SVC.",values:["v2_vc","v1_svc","v1_whisper_bigvgan_vc","v1_xlsr_hift_vc"],required:!1},{name:"length_adjust",type:"float",description:"Output duration multiplier; must be positive, default 1.0.",required:!1,min:0,default:1},{name:"num_inference_steps",type:"int",description:"Diffusion steps; default 30.",required:!1,min:1,default:30},{name:"inference_guidance_scale",type:"float",description:"V1 classifier-free guidance scale; default 0.7.",required:!1,min:0,default:.7},{name:"intelligibility_guidance_scale",type:"float",description:"V2 classifier-free guidance scale for source-content intelligibility; default 0.7.",required:!1,min:0,default:.7},{name:"similarity_guidance_scale",type:"float",description:"V2 classifier-free guidance scale for target-speaker similarity; default 0.7.",required:!1,min:0,default:.7},{name:"voice_anonymization",type:"bool",description:"Use randomized average-voice conditioning instead of target-speaker conditioning for V2 anonymization; default false.",required:!1,default:!1},{name:"seed",type:"int",description:"Seed for V1/V2 diffusion noise and HiFT stochastic source excitation; omitted requests choose a random seed.",required:!1,min:0},{name:"noise_path",type:"path",description:"Optional raw f32 noise file for deterministic V1/V2 diffusion noise and XLSR/HiFT source excitation.",required:!1},{name:"f0_condition",type:"bool",description:"Enable V1 F0 conditioning for singing voice conversion; default false.",required:!1,default:!1},{name:"auto_f0_adjust",type:"bool",description:"Automatically adjust V1 source pitch toward the target pitch level; default false.",required:!1,default:!1},{name:"semitone_shift",type:"int",description:"V1 pitch shift in semitones for singing voice conversion; default 0.",required:!1,default:0}],session:[{name:"weight_type",type:"enum",description:"Shared Seed-VC component weight storage type; default native, except RMVPE uses f32 unless overridden.",preset:"weight_type_full",required:!1,default:"native"}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"seed_vc_mlx_q8_0",display_name:"SeedVC-MLX Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_f16",display_name:"SeedVC-MLX F16 GGUF",format:"gguf",precision:"f16",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_orig",display_name:"SeedVC-MLX Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-orig.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_safetensors",display_name:"SeedVC-MLX Safetensors",format:"safetensors",precision:"native",target_directory:"SeedVC-MLX",files:["seed_vc_manifest.json","v2/ar.safetensors","v2/cfm.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/SeedVC-MLX"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{manifest:"model:seed_vc_manifest.json",v2_wrapper_config:"model:v2/vc_wrapper.json",astral_bsq32_config:"model:astral/bsq32.json",astral_bsq2048_config:"model:astral/bsq2048.json",v1_svc_config:"model:v1/svc.json",v1_whisper_bigvgan_config:"model:v1/whisper_bigvgan.json",v1_xlsr_hift_config:"model:v1/xlsr_hift.json",hift_config:"model:hift/config.json",bigvgan_22k_config:"model:bigvgan/v2_22khz_80band_256x/config.json",bigvgan_44k_config:"model:bigvgan/v2_44khz_128band_512x/config.json",whisper_small_config:"model:whisper-small/config.json",hubert_large_config:"model:hubert-large-ll60k/config.json",wav2vec2_xlsr_config:"model:wav2vec2-xls-r-300m/config.json"},tensors:{v2_ar_weights:{source:"weights:",prefix:"v2_ar_weights"},v2_cfm_weights:{source:"weights:",prefix:"v2_cfm_weights"},v1_svc_weights:{source:"weights:",prefix:"v1_svc_weights"},v1_whisper_bigvgan_weights:{source:"weights:",prefix:"v1_whisper_bigvgan_weights"},v1_xlsr_hift_weights:{source:"weights:",prefix:"v1_xlsr_hift_weights"},astral_bsq32_weights:{source:"weights:",prefix:"astral_bsq32_weights"},astral_bsq2048_weights:{source:"weights:",prefix:"astral_bsq2048_weights"},campplus_weights:{source:"weights:",prefix:"campplus_weights"},rmvpe_weights:{source:"weights:",prefix:"rmvpe_weights"},hift_weights:{source:"weights:",prefix:"hift_weights"},bigvgan_22k_weights:{source:"weights:",prefix:"bigvgan_22k_weights"},bigvgan_44k_weights:{source:"weights:",prefix:"bigvgan_44k_weights"},whisper_small_weights:{source:"weights:",prefix:"whisper_small_weights"},hubert_large_weights:{source:"weights:",prefix:"hubert_large_weights"},wav2vec2_xlsr_weights:{source:"weights:",prefix:"wav2vec2_xlsr_weights"}}},{format:"safetensors",roots:{model:"."},files:{manifest:"model:seed_vc_manifest.json",v2_wrapper_config:"model:v2/vc_wrapper.json",astral_bsq32_config:"model:astral/bsq32.json",astral_bsq2048_config:"model:astral/bsq2048.json",v1_svc_config:"model:v1/svc.json",v1_whisper_bigvgan_config:"model:v1/whisper_bigvgan.json",v1_xlsr_hift_config:"model:v1/xlsr_hift.json",hift_config:"model:hift/config.json",bigvgan_22k_config:"model:bigvgan/v2_22khz_80band_256x/config.json",bigvgan_44k_config:"model:bigvgan/v2_44khz_128band_512x/config.json",whisper_small_config:"model:whisper-small/config.json",hubert_large_config:"model:hubert-large-ll60k/config.json",wav2vec2_xlsr_config:"model:wav2vec2-xls-r-300m/config.json"},tensors:{v2_ar_weights:"model:v2/ar.safetensors",v2_cfm_weights:"model:v2/cfm.safetensors",v1_svc_weights:"model:v1/svc.safetensors",v1_whisper_bigvgan_weights:"model:v1/whisper_bigvgan.safetensors",v1_xlsr_hift_weights:"model:v1/xlsr_hift.safetensors",astral_bsq32_weights:"model:astral/bsq32.safetensors",astral_bsq2048_weights:"model:astral/bsq2048.safetensors",campplus_weights:"model:campplus/model.safetensors",rmvpe_weights:"model:rmvpe/model.safetensors",hift_weights:"model:hift/model.safetensors",bigvgan_22k_weights:"model:bigvgan/v2_22khz_80band_256x/model.safetensors",bigvgan_44k_weights:"model:bigvgan/v2_44khz_128band_512x/model.safetensors",whisper_small_weights:"model:whisper-small/model.safetensors",hubert_large_weights:"model:hubert-large-ll60k/model.safetensors",wav2vec2_xlsr_weights:"model:wav2vec2-xls-r-300m/model.safetensors"}}]},hg={schema_version:1,family:"sense_asr",display_name:"SenseVoice-Small",description:"SenseVoice-Small multilingual speech recognition with rich event/emotion/ITN tags via a SAN-M encoder and CTC head, ported to audio.cpp.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["auto","zh","en","yue","ja","ko","pt","ru","es","it","fr","de","nl","pl","tr","ar","hi","vi","th","id","ms","fa","nospeech"],capabilities:{asr:["vad_chunking","partial_results"]},options:{request:[{name:"language",type:"string",description:"Recognition language, or auto to let the model infer it from the audio.",required:!1,default:"auto"},{name:"enable_itn",type:"bool",description:"Enable inverse text normalization (adds the withitn query token).",required:!1,default:!0},{name:"keep_tags",type:"bool",description:"Keep <|event|>/<|emotion|>/<|language|> tags inline in the output text.",required:!1,default:!1},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode: auto, fixed, or none.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Fixed chunk duration in seconds when not using VAD segmentation.",required:!1,min:.001,default:30}],session:[{name:"weight_type",type:"enum",description:"Shared model weight storage type.",preset:"weight_type_full",required:!1,default:"native"},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MB.",required:!1,min:64,default:1024},{name:"vad_model_path",type:"string",description:"Path to the Silero VAD model directory used by automatic audio chunking.",required:!1,default:"assets/framework/models/silero_vad"}],load:[]},runtime:{tags:["gguf","server","stream","cuda","metal","cpu"]},packages:[{id:"sensevoice_small_q8",display_name:"SenseVoice-Small Q8 GGUF",description:"audio.cpp GGUF built from the SenseVoice-Small checkpoint via the SenseVoice llama.cpp export script.",default:!0,format:"gguf",precision:"q8_0",target_directory:"SenseVoice-Small-GGUF",files:["sensevoice-small-q8-audiocpp-v1.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/SenseVoiceSmall-GGUF-audiocpp",revision:"5c3fcfe748a8714216bc135476d5863084fddb72",gated:!1}}],dependencies:[],ui:{recommended_package:"sensevoice_small_q8",tags:["ASR","GGUF","Stream"],docs:["docs/community_models/sense_asr.md"],summary:"SenseVoice-Small transcription with event/emotion tags and ITN."},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{},optional_files:{},tensors:{weights:"weights:"}}]},vg={schema_version:1,family:"sortformer_diar",display_name:"Sortformer Diarization",description:"NVIDIA Transformer-based end-to-end speaker diarization model trained primarily on English speech, predicting speaker labels directly from audio and resolving speaker ordering by arrival time for up to four speakers.",category:"speech_analysis",status:"supported",tasks:["diar"],modes:["offline"],languages:["en"],capabilities:{diar:["speaker_turns"]},dependencies:[],options:{request:[{name:"speaker_threshold",type:"float",description:"Speaker activity probability threshold used when decoding speaker turns; default 0.5.",required:!1,min:0,max:1,default:.5},{name:"speaker_min_frames",type:"int",description:"Minimum decoded segment length in model output frames; default 0 disables short-segment filtering.",required:!1,min:0,default:0},{name:"speaker_pad_frames",type:"int",description:"Pad each decoded speaker segment by this many model output frames before filtering and merging; default 0.",required:!1,min:0,default:0}],session:[{name:"graph_arena_mb",type:"int",description:"Inference graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"weight_context_mb",type:"int",description:"Weight context size in MiB; default 128.",required:!1,min:1,default:128},{name:"session_len_sec",type:"float",description:"Base offline graph context length in seconds; must be positive, default 20.",required:!1,min:0,default:20},{name:"graph_capacity_mode",type:"enum",description:"Offline graph capacity policy; defaults to tiered on host-graph backends and fixed otherwise.",values:["fixed","tiered","grow","double"],required:!1},{name:"speaker_threshold",type:"float",description:"Default speaker activity probability threshold for decoded speaker turns; default 0.5.",required:!1,min:0,max:1,default:.5},{name:"speaker_min_frames",type:"int",description:"Default minimum decoded segment length in model output frames; default 0 disables short-segment filtering.",required:!1,min:0,default:0},{name:"speaker_pad_frames",type:"int",description:"Default decoded segment padding in model output frames; default 0.",required:!1,min:0,default:0},{name:"weight_type",type:"enum",description:"All weight storage type; default f32.",preset:"weight_type_full",required:!1,default:"f32"},{name:"matmul_weight_type",type:"enum",description:"Matmul weight storage type; defaults to weight_type when set, otherwise f32.",preset:"weight_type_full",required:!1},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; defaults to weight_type when set, otherwise f32.",preset:"weight_type_full",required:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"sortformer_diar_4spk_v1_q8_0",tags:["Diar","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"sortformer_diar_4spk_v1_q8_0",display_name:"Sortformer Diar 4spk v1 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Sortformer-Diar-4spk-v1-GGUF",files:["Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-q8_0.gguf"],strip_prefix:"Sortformer-Diar-4spk-v1-GGUF"},{id:"sortformer_diar_4spk_v1_f16",display_name:"Sortformer Diar 4spk v1 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Sortformer-Diar-4spk-v1-GGUF",files:["Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-f16.gguf"],strip_prefix:"Sortformer-Diar-4spk-v1-GGUF"},{id:"sortformer_diar_4spk_v1_safetensors",display_name:"Sortformer Diar 4spk v1 Safetensors",format:"safetensors",precision:"native",target_directory:"diar_sortformer_4spk-v1",files:["config.json","model.safetensors","processor_config.json"],download:{kind:"huggingface_snapshot",repo:"nvidia/diar_sortformer_4spk-v1"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor:"model:processor_config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor:"model:processor_config.json"},tensors:{weights:"model:model.safetensors"}}]},yg={family:"stable_audio",display_name:"Stable Audio 3",description:"Stability AI generative audio model family for text-to-music, sound effects, audio-to-audio editing, inpainting, continuation, variable-length generation, and LoRA personalization.",category:"audio_generation",status:"supported",tasks:["music","sfx","edit"],modes:["offline"],languages:["en"],capabilities:{music:["lyrics"],sfx:["prompt_generation"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"stable_audio_3_medium_q8_0",tags:["Music","SFX","Edit","GGUF"],docs:["docs/models/stable_audio.md","docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"stable_audio_3_medium_q8_0",display_name:"Stable Audio 3 Medium Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Medium-GGUF",files:["Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Medium-GGUF"},{id:"stable_audio_3_medium_f16",display_name:"Stable Audio 3 Medium F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Medium-GGUF",files:["Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-f16.gguf"],strip_prefix:"Stable-Audio-3-Medium-GGUF"},{id:"stable_audio_3_small_music_q8_0",display_name:"Stable Audio 3 Small Music Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Small-Music-GGUF",files:["Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Small-Music-GGUF"},{id:"stable_audio_3_small_music_f16",display_name:"Stable Audio 3 Small Music F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Small-Music-GGUF",files:["Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-f16.gguf"],strip_prefix:"Stable-Audio-3-Small-Music-GGUF"},{id:"stable_audio_3_small_sfx_q8_0",display_name:"Stable Audio 3 Small SFX Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Small-SFX-GGUF",files:["Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Small-SFX-GGUF"},{id:"stable_audio_3_small_sfx_f16",display_name:"Stable Audio 3 Small SFX F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Small-SFX-GGUF",files:["Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-f16.gguf"],strip_prefix:"Stable-Audio-3-Small-SFX-GGUF"},{id:"stable_audio_3_medium_safetensors",display_name:"Stable Audio 3 Medium Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-medium",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-medium",gated:!0}},{id:"stable_audio_3_small_music_safetensors",display_name:"Stable Audio 3 Small Music Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-small-music",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-small-music",gated:!0}},{id:"stable_audio_3_small_sfx_safetensors",display_name:"Stable Audio 3 Small SFX Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-small-sfx",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-small-sfx",gated:!0}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{model_config:"model:model_config.json",t5_config:"model:t5gemma-b-b-ul2/config.json",t5_tokenizer_json:"model:t5gemma-b-b-ul2/tokenizer.json",t5_tokenizer_model:"model:t5gemma-b-b-ul2/tokenizer.model",t5_tokenizer_config:"model:t5gemma-b-b-ul2/tokenizer_config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},t5_weights:{source:"weights:",prefix:"t5_weights"}}},{format:"safetensors",roots:{model:".",t5:"t5gemma-b-b-ul2"},files:{model_config:"model:model_config.json",t5_config:"t5:config.json",t5_tokenizer_json:"t5:tokenizer.json",t5_tokenizer_model:"t5:tokenizer.model",t5_tokenizer_config:"t5:tokenizer_config.json"},tensors:{model_weights:"model:model.safetensors",t5_weights:"t5:model.safetensors"}},{format:"safetensors",roots:{model:".",t5:"../t5-base"},files:{model_config:"model:model_config.json",t5_config:"t5:config.json",t5_tokenizer_json:"t5:tokenizer.json",t5_tokenizer_model:"t5:spiece.model",t5_tokenizer_config:"t5:config.json"},tensors:{model_weights:"model:Foundation_1.safetensors",t5_weights:"t5:model.safetensors"}}]},bg={family:"supertonic",display_name:"Supertonic 3",description:"Supertone on-device TTS model designed for fast local speech synthesis across 31 languages, with preset voices and compact deployment for browser, mobile, and desktop applications.",category:"tts",status:"supported",tasks:["tts"],modes:["offline","streaming"],languages:["en","ko","ja","ar","bg","cs","da","de","el","es","et","fi","fr","hi","hr","hu","id","it","lt","lv","nl","pl","pt","ro","ru","sk","sl","sv","tr","uk","vi"],capabilities:{tts:["built_in_voices","long_form"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"supertonic_3_orig",tags:["TTS","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"supertonic_3_q8_0",display_name:"Supertonic 3 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-q8_0.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_f16",display_name:"Supertonic 3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-f16.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_orig",display_name:"Supertonic 3 Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-orig.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_safetensors",display_name:"Supertonic 3 Safetensors",format:"safetensors",precision:"native",target_directory:"supertonic-3",files:["config/tts.json","config/unicode_indexer.json","ggml/supertonic.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/supertonic-3-mlx"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tts_config:"model:config/tts.json",unicode_indexer:"model:config/unicode_indexer.json",voice_style_F1:"model:voice_styles/F1.json",voice_style_F2:"model:voice_styles/F2.json",voice_style_F3:"model:voice_styles/F3.json",voice_style_F4:"model:voice_styles/F4.json",voice_style_F5:"model:voice_styles/F5.json",voice_style_M1:"model:voice_styles/M1.json",voice_style_M2:"model:voice_styles/M2.json",voice_style_M3:"model:voice_styles/M3.json",voice_style_M4:"model:voice_styles/M4.json",voice_style_M5:"model:voice_styles/M5.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{tts_config:"model:config/tts.json",unicode_indexer:"model:config/unicode_indexer.json",voice_style_F1:"model:voice_styles/F1.json",voice_style_F2:"model:voice_styles/F2.json",voice_style_F3:"model:voice_styles/F3.json",voice_style_F4:"model:voice_styles/F4.json",voice_style_F5:"model:voice_styles/F5.json",voice_style_M1:"model:voice_styles/M1.json",voice_style_M2:"model:voice_styles/M2.json",voice_style_M3:"model:voice_styles/M3.json",voice_style_M4:"model:voice_styles/M4.json",voice_style_M5:"model:voice_styles/M5.json"},tensors:{weights:"model:ggml/supertonic.safetensors"}}]},kg={family:"vevo2",display_name:"Vevo2",description:"Unified controllable framework for English and Chinese speech and singing voice generation, voice conversion, and editing, with tokenizers that disentangle content, prosody, melody, style, and timbre.",category:"voice_conversion",status:"supported",tasks:["tts","music","vc","edit","svc","s2s"],modes:["offline"],languages:["en","zh"],capabilities:{music:["lyrics"],vc:["speaker_reference"],svc:["speaker_reference","singing"],s2s:["speaker_reference"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vevo2_q8_0",tags:["TTS","Music","VC","Edit","GGUF"],docs:["docs/models/vevo2.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vevo2_q8_0",display_name:"Vevo2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-q8_0.gguf"],strip_prefix:"Vevo2-GGUF"},{id:"vevo2_f16",display_name:"Vevo2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-f16.gguf"],strip_prefix:"Vevo2-GGUF"},{id:"vevo2_orig",display_name:"Vevo2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-orig.gguf"],strip_prefix:"Vevo2-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{ar_config:"model:contentstyle_modeling/posttrained/config.json",ar_amphion_config:"model:contentstyle_modeling/posttrained/amphion_config.json",ar_generation_config:"model:contentstyle_modeling/posttrained/generation_config.json",ar_tokenizer_config:"model:contentstyle_modeling/posttrained/tokenizer_config.json",ar_tokenizer_json:"model:contentstyle_modeling/posttrained/tokenizer.json",ar_vocab:"model:contentstyle_modeling/posttrained/vocab.json",ar_merges:"model:contentstyle_modeling/posttrained/merges.txt",ar_added_tokens:"model:contentstyle_modeling/posttrained/added_tokens.json",ar_special_tokens:"model:contentstyle_modeling/posttrained/special_tokens_map.json",fm_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/config.json",fm_text_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/config.json",vocoder_config:"model:vocoder/config.json",whisper_config:"model:whisper-medium/config.json"},tensors:{content_style_tokenizer_weights:{source:"weights:",prefix:"content_style_tokenizer_weights"},prosody_tokenizer_weights:{source:"weights:",prefix:"prosody_tokenizer_weights"},ar_weights:{source:"weights:",prefix:"ar_weights"},fm_weights:{source:"weights:",prefix:"fm_weights"},fm_whisper_stats:{source:"weights:",prefix:"fm_whisper_stats"},fm_text_weights:{source:"weights:",prefix:"fm_text_weights"},fm_text_whisper_stats:{source:"weights:",prefix:"fm_text_whisper_stats"},vocoder_weights_0:{source:"weights:",prefix:"vocoder_weights_0"},vocoder_weights_1:{source:"weights:",prefix:"vocoder_weights_1"},vocoder_weights_2:{source:"weights:",prefix:"vocoder_weights_2"},whisper_weights:{source:"weights:",prefix:"whisper_weights"}}},{format:"safetensors",roots:{model:".",whisper:"../whisper-medium"},files:{ar_config:"model:contentstyle_modeling/posttrained/config.json",ar_amphion_config:"model:contentstyle_modeling/posttrained/amphion_config.json",ar_generation_config:"model:contentstyle_modeling/posttrained/generation_config.json",ar_tokenizer_config:"model:contentstyle_modeling/posttrained/tokenizer_config.json",ar_tokenizer_json:"model:contentstyle_modeling/posttrained/tokenizer.json",ar_vocab:"model:contentstyle_modeling/posttrained/vocab.json",ar_merges:"model:contentstyle_modeling/posttrained/merges.txt",ar_added_tokens:"model:contentstyle_modeling/posttrained/added_tokens.json",ar_special_tokens:"model:contentstyle_modeling/posttrained/special_tokens_map.json",fm_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/config.json",fm_text_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/config.json",vocoder_config:"model:vocoder/config.json",whisper_config:"whisper:config.json"},tensors:{content_style_tokenizer_weights:"model:tokenizer/contentstyle_fvq16384_12.5hz/model.safetensors",prosody_tokenizer_weights:"model:tokenizer/prosody_fvq512_6.25hz/model.safetensors",ar_weights:"model:contentstyle_modeling/posttrained/model.safetensors",fm_weights:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/model.safetensors",fm_whisper_stats:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/whisper_stats.safetensors",fm_text_weights:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/model.safetensors",fm_text_whisper_stats:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/whisper_stats.safetensors",vocoder_weights_0:"model:vocoder/model.safetensors",vocoder_weights_1:"model:vocoder/model_1.safetensors",vocoder_weights_2:"model:vocoder/model_2.safetensors",whisper_weights:"whisper:model.safetensors"}}]},wg={family:"vibevoice",display_name:"VibeVoice",description:"Microsoft long-form multi-speaker TTS model for expressive conversational audio such as podcasts, supporting up to 90 minutes of speech with as many as four speakers.",category:"tts",status:"supported",tasks:["tts"],modes:["offline"],languages:["en","zh"],capabilities:{tts:["multi_speaker","long_form"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vibevoice_1_5b_q8_0",tags:["TTS","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vibevoice_1_5b_q8_0",display_name:"VibeVoice 1.5B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VibeVoice-1.5B-GGUF",files:["VibeVoice-1.5B-GGUF/vibevoice-1.5b-q8_0.gguf"],strip_prefix:"VibeVoice-1.5B-GGUF"},{id:"vibevoice_1_5b_bf16",display_name:"VibeVoice 1.5B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"VibeVoice-1.5B-GGUF",files:["VibeVoice-1.5B-GGUF/vibevoice-1.5b-bf16.gguf"],strip_prefix:"VibeVoice-1.5B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},tensors:{model_weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},tensors:{model_weights:"model:model.safetensors.index.json"}}]},xg={family:"vibevoice_asr",display_name:"VibeVoice ASR",description:"Microsoft long-form speech-to-text model that processes up to 60 minutes of audio in one pass and produces structured transcripts with speakers, timestamps, content, hotwords, and 50+ language support.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["auto","51 languages"],capabilities:{asr:["segments","speaker_turns","vad_chunking"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vibevoice_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vibevoice_asr_q8_0",display_name:"VibeVoice ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VibeVoice-ASR-GGUF",files:["VibeVoice-ASR-GGUF/vibevoice-asr-q8_0.gguf"],strip_prefix:"VibeVoice-ASR-GGUF"},{id:"vibevoice_asr_f16",display_name:"VibeVoice ASR F16 GGUF",format:"gguf",precision:"f16",target_directory:"VibeVoice-ASR-GGUF",files:["VibeVoice-ASR-GGUF/vibevoice-asr-f16.gguf"],strip_prefix:"VibeVoice-ASR-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},optional_files:{preprocessor_config:"model:preprocessor_config.json"},tensors:{model_weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},optional_files:{preprocessor_config:"model:preprocessor_config.json"},tensors:{model_weights:"model:model.safetensors.index.json"}}]},$g={family:"vietneu_tts",display_name:"VieNeu-TTS v3 Turbo",description:"On-device Vietnamese TTS model with instant voice cloning from 3-5 seconds of reference audio, English-Vietnamese code-switching, streaming playback, batched generation, and conversation mode.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["vi","en"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vietneu_tts_v3_turbo_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/vietneu_tts.md","docs/tts.md","docs/gguf.md"]},packages:[{id:"vietneu_tts_v3_turbo_q8_0",display_name:"VieNeu-TTS v3 Turbo GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VieNeu-TTS-v3-Turbo-GGUF",files:["model.gguf"],strip_prefix:".",download:{kind:"huggingface_snapshot",repo:"phuocnguyen90/VieNeu-TTS-v3-Turbo-GGUF"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json"},optional_files:{generation_config:"model:generation_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json"},optional_files:{generation_config:"model:generation_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{model_weights:"model:model.safetensors",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors"}}]},Sg={family:"voxcpm2",display_name:"VoxCPM2",description:"OpenBMB tokenizer-free TTS model supporting 30 languages and 9 Chinese dialects, with 48 kHz output, natural-language voice design, controllable short-reference voice cloning, and expressive style guidance.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline","streaming"],languages:["ar","my","zh","zh dialects","da","nl","en","fi","fr","de","el","he","hi","id","it","ja","km","ko","lo","ms","no","pl","pt","ru","es","sw","sv","tl","th","tr","vi"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"voxcpm2_q8_0",tags:["TTS","Clone","Design","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"voxcpm2_q8_0",display_name:"VoxCPM2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-q8_0.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_bf16",display_name:"VoxCPM2 BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-bf16.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_orig",display_name:"VoxCPM2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-orig.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_safetensors",display_name:"VoxCPM2 Safetensors",format:"safetensors",precision:"native",target_directory:"VoxCPM2",files:["config.json","model.safetensors","tokenizer.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"OpenBMB/VoxCPM2"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{weights:{source:"weights:",prefix:"weights"},audiovae_weights:{source:"weights:",prefix:"audiovae_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{weights:"model:model.safetensors",audiovae_weights:"model:audiovae.safetensors"}}]},Gg={family:"voxtral_realtime",display_name:"Voxtral Mini 4B Realtime",description:"Mistral 13-language realtime ASR model with a natively streaming causal audio encoder, configurable low-latency transcription delay, and accuracy competitive with offline open-source systems.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["en","zh","hi","es","ar","fr","pt","ru","de","ja","ko","it","nl"],capabilities:{asr:["partial_results"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"voxtral_realtime_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"voxtral_realtime_q8_0",display_name:"Voxtral Mini 4B Realtime Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q8_0.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"},{id:"voxtral_realtime_q4_k",display_name:"Voxtral Mini 4B Realtime Q4_K GGUF",format:"gguf",precision:"q4_k",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q4_k.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"},{id:"voxtral_realtime_bf16",display_name:"Voxtral Mini 4B Realtime BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-bf16.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tekken:"model:tekken.json"},optional_files:{params:"model:params.json",readme:"model:README.md"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tekken:"model:tekken.json"},optional_files:{params:"model:params.json",readme:"model:README.md"},tensors:{weights:"model:model.safetensors"}}]},Tg={models:JSON.parse('[{"id":"omnivoice","display_name":"OmniVoice (tts)","family":"omnivoice","path":"models/OmniVoice","task":"tts","mode":"offline","download_id":"omnivoice","min_vram_gb":10},{"id":"pocket-tts","display_name":"Pocket TTS (tts)","family":"pocket_tts","path":"models/pocket-tts","task":"tts","mode":"offline","download_id":"pocket_tts","min_vram_gb":2},{"id":"dots-tts-soar","display_name":"DotTTS SOAR (tts + clone)","family":"dots_tts","path":"models/DotTTS-SOAR-GGUF","task":"tts","mode":"offline","download_id":"dots_tts_soar_q8_0","min_vram_gb":8},{"id":"dots-tts-meanflow","display_name":"DotTTS MeanFlow (tts + clone)","family":"dots_tts","path":"models/DotTTS-MF-GGUF","task":"tts","mode":"offline","download_id":"dots_tts_mf_q8_0","min_vram_gb":8},{"id":"neutts-2e","display_name":"NeuTTS 2E (tts, preset voices)","family":"neutts","path":"models/NeuTTS-2E-GGUF","task":"tts","mode":"offline","download_id":"neutts_2e_orig","min_vram_gb":4},{"id":"qwen3-tts","display_name":"Qwen3-TTS 0.6B (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-0.6B-Base","task":"tts","mode":"offline","download_id":"qwen3_tts_0_6b_base","min_vram_gb":5},{"id":"qwen3-tts-1.7b","display_name":"Qwen3-TTS 1.7B Base (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-Base","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_base","min_vram_gb":8},{"id":"qwen3-tts-1.7b-custom","display_name":"Qwen3-TTS 1.7B CustomVoice (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-CustomVoice","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_custom_voice","min_vram_gb":8},{"id":"miotts","display_name":"MioTTS 1.7B (tts; needs MioCodec)","family":"miotts","path":"models/MioTTS-1.7B","task":"tts","mode":"offline","download_id":"miotts_1_7b","min_vram_gb":8},{"id":"voxcpm2","display_name":"VoxCPM2 (tts)","family":"voxcpm2","path":"models/VoxCPM2","task":"tts","mode":"offline","download_id":"voxcpm2","session_options":{"voxcpm2.weight_type":"q8_0"},"min_vram_gb":6},{"id":"vibevoice","display_name":"VibeVoice 1.5B (tts, long-form/multi-speaker)","family":"vibevoice","path":"models/VibeVoice-1.5B","task":"tts","mode":"offline","download_id":"vibevoice_1_5b","min_vram_gb":7},{"id":"index-tts2","display_name":"IndexTTS2 (tts 中英克隆+情感)","display_name_en":"IndexTTS2 (tts, zh/en clone + emotion)","family":"index_tts2","path":"models/IndexTTS-2","task":"tts","mode":"offline","download_id":"index_tts2","min_vram_gb":8},{"id":"index-tts2.5","display_name":"IndexTTS2.5 (tts 多语种克隆+情感, GGUF Q8)","display_name_en":"IndexTTS2.5 (tts, zh/en/ja/es/ar clone + emotion, GGUF Q8)","family":"index_tts2","path":"models/IndexTTS2.5-GGUF","task":"tts","mode":"offline","download_id":"index_tts2_5_q8_0","min_vram_gb":8,"input_hint":"**IndexTTS2.5**：中/英/日/西/阿零样本克隆；上传参考音色即克隆；可在『其它参数(JSON)』里传 `lang`（默认 auto：含汉字按中文，否则按英文）与情感选项。许可证为 bilibili Model Use License（非 OSI），商用前请确认条款。","input_hint_en":"**IndexTTS2.5**: zero-shot cloning in zh/en/ja/es/ar. Upload a reference voice to clone; pass `lang` (default auto: zh when the text contains Han characters, otherwise en) and emotion options through the JSON box. Weights are under the bilibili Model Use License (not OSI-approved) — check terms before commercial use."},{"id":"irodori-tts","display_name":"Irodori-TTS v4 Small (tts 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small (ja tts, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF","task":"tts","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 Small**：日语 TTS；可不上传参考音色直接生成，也可上传参考音色进行克隆；可在声音设计页用日语 caption 描述音色。","input_hint_en":"**Irodori-TTS v4 Small**: Japanese TTS. Generate without a reference voice, clone from an uploaded reference, or use the voice-design page with a Japanese voice caption."},{"id":"irodori-tts-v3-500m","display_name":"Irodori-TTS 500M v3 (tts 日语)","display_name_en":"Irodori-TTS 500M v3 (ja tts)","family":"irodori_tts","path":"models/Irodori-TTS-500M-v3-GGUF","task":"tts","mode":"offline","download_id":"irodori_tts_500m_v3_q8_0","min_vram_gb":4},{"id":"moss-tts-local","display_name":"MOSS-TTS-Local v1.5 (tts)","family":"moss_tts_local","path":"models/MOSS-TTS-Local-Transformer-v1.5","task":"tts","mode":"offline","download_id":"moss_tts_local_v1_5","min_vram_gb":8},{"id":"moss-tts-nano","display_name":"MOSS-TTS-Nano 100M (tts)","family":"moss_tts_nano","path":"models/MOSS-TTS-Nano-100M","task":"tts","mode":"offline","download_id":"moss_tts_nano_100m","min_vram_gb":2},{"id":"supertonic","display_name":"Supertonic 3 (tts 预置音色/多语种)","display_name_en":"Supertonic 3 (tts, preset voices)","family":"supertonic","path":"models/supertonic-3","task":"tts","mode":"offline","download_id":"supertonic_3","min_vram_gb":2},{"id":"higgs-audio-tts","display_name":"Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)","display_name_en":"Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)","family":"higgs_audio_tts","path":"models/Higgs-Audio-v3-TTS-4B-GGUF","task":"tts","mode":"offline","download_id":"higgs_audio_v3_tts_4b","min_vram_gb":6,"input_hint":"**Higgs Audio v3 TTS**：Q8_0 GGUF 包（权重已量化，不用再设 weight_type）；上传参考音色即声音克隆，留空用默认音色；长文本自动分段。","input_hint_en":"**Higgs Audio v3 TTS**: Q8_0 GGUF package (already quantized — no weight_type needed). Upload a reference voice to clone, or leave it empty for the default voice; long text is chunked automatically."},{"id":"fish-audio-s2-pro","display_name":"Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)","display_name_en":"Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)","family":"fish_audio","path":"models/Fish-Audio-S2-Pro-GGUF","task":"tts","mode":"offline","download_id":"fish_audio_s2_pro","min_vram_gb":8,"input_hint":"**Fish Audio S2 Pro**：Q8_0 GGUF 包；中英+自动语种；上传参考音色即克隆；正文里可写行内控制标记（如 (laugh)）。","input_hint_en":"**Fish Audio S2 Pro**: Q8_0 GGUF package; English/Chinese plus auto language. Upload a reference voice to clone; inline control tags such as (laugh) can be written in the text."},{"id":"glm-tts","display_name":"GLM-TTS (tts 克隆, 社区)","display_name_en":"GLM-TTS (tts + clone, community)","family":"glm_tts","path":"models/GLM-TTS","task":"tts","mode":"offline","download_id":"glm_tts","min_vram_gb":8,"input_hint":"**GLM-TTS**（社区模型）：中英 TTS / voice clone；上传参考音色即克隆。","input_hint_en":"**GLM-TTS** (community): Chinese/English TTS and voice clone. Upload a reference voice to clone."},{"id":"outetts","display_name":"Llama-OuteTTS 1.0 1B (tts 克隆, 社区)","display_name_en":"Llama-OuteTTS 1.0 1B (tts + clone, community)","family":"outetts","path":"models/Llama-OuteTTS-1.0-1B","task":"tts","mode":"offline","download_id":"outetts_1_0_1b","min_vram_gb":4,"input_hint":"**OuteTTS 1.0 1B**（社区模型）：23 种语言，DAC 编解码；上传参考音色即克隆。","input_hint_en":"**OuteTTS 1.0 1B** (community): 23 languages, IBM DAC codec. Upload a reference voice to clone."},{"id":"vietneu-tts","display_name":"VieNeu-TTS v3 Turbo (tts 越南语, 社区)","display_name_en":"VieNeu-TTS v3 Turbo (vi tts, community)","family":"vietneu_tts","path":"models/VieNeu-TTS-v3-Turbo","task":"tts","mode":"offline","download_id":"vietneu_tts_v3_turbo","min_vram_gb":4,"input_hint":"**VieNeu-TTS v3 Turbo**（社区模型）：越南语 / 英语；上传参考音色即克隆。","input_hint_en":"**VieNeu-TTS v3 Turbo** (community): Vietnamese and English. Upload a reference voice to clone."},{"id":"inflect-v2","display_name":"Inflect Micro v2 (tts 英语, 社区)","display_name_en":"Inflect Micro v2 (en tts, community)","family":"inflect_v2","path":"models/Inflect-Micro-v2","task":"tts","mode":"offline","download_id":"inflect_micro_v2","min_vram_gb":2,"input_hint":"**Inflect Micro v2**（社区模型）：英语离线 TTS；Micro 是默认包，Nano 可通过模型管理器另装后手动选择路径。","input_hint_en":"**Inflect Micro v2** (community): English offline TTS. Micro is the default package; Nano can be installed separately and selected manually."},{"id":"dramabox","display_name":"DramaBox (tts 克隆, GGUF Q8)","display_name_en":"DramaBox (tts + clone, GGUF Q8)","family":"dramabox","path":"models/DramaBox-GGUF","task":"tts","mode":"offline","download_id":"dramabox_q8_0","min_vram_gb":16,"input_hint":"**DramaBox**：英语 TTS / voice clone；上传参考音色可克隆，长文本建议写清楚说话人描述。","input_hint_en":"**DramaBox**: English TTS and voice clone. Upload a reference voice to clone; for long text, keep speaker wording explicit."},{"id":"confucius4-tts","display_name":"Confucius4-TTS (voice clone, GGUF)","display_name_en":"Confucius4-TTS (voice clone, GGUF)","family":"confucius4_tts","path":"models/Confucius4-TTS-GGUF","task":"clon","mode":"offline","download_id":"confucius4_tts_orig","min_vram_gb":8,"input_hint":"**Confucius4-TTS**：需要参考音色；当前中文/英语路径更可靠，非中英语种仍在验证中。","input_hint_en":"**Confucius4-TTS**: requires a reference voice. Chinese/English are the most reliable paths; other languages are still being validated."},{"id":"chatterbox","display_name":"Chatterbox (voice clone)","family":"chatterbox","path":"models/chatterbox","task":"clon","mode":"offline","download_id":"chatterbox","min_vram_gb":12},{"id":"ace-step","display_name":"ACE-Step 1.5 (music gen)","family":"ace_step","path":"models/Ace-Step1.5","task":"gen","mode":"offline","download_id":"ace_step","session_options":{"ace_step.mem_saver":"true","ace_step.dit_weight_type":"q8_0","ace_step.text_encoder_weight_type":"q8_0","ace_step.planner_weight_type":"q8_0"},"min_vram_gb":8},{"id":"stable-audio-small-music","display_name":"Stable Audio 3 Small Music (gen)","family":"stable_audio","path":"models/stable-audio-3-small-music","task":"gen","mode":"offline","download_id":"stable_audio_3_small_music","min_vram_gb":4},{"id":"stable-audio-small-sfx","display_name":"Stable Audio 3 Small SFX (gen)","family":"stable_audio","path":"models/stable-audio-3-small-sfx","task":"gen","mode":"offline","download_id":"stable_audio_3_small_sfx","min_vram_gb":4},{"id":"stable-audio-medium","display_name":"Stable Audio 3 Medium (gen)","family":"stable_audio","path":"models/stable-audio-3-medium","task":"gen","mode":"offline","download_id":"stable_audio_3_medium","session_options":{"stable_audio.mem_saver":"true"},"min_vram_gb":10},{"id":"heartmula","display_name":"HeartMuLa 3B (music gen)","family":"heartmula","path":"models/HeartMuLa","task":"gen","mode":"offline","download_id":"heartmula","session_options":{"heartmula.mem_saver":"true"},"min_vram_gb":24},{"id":"minimax-h3","display_name":"MiniMax-H3 Q4 (sound generation)","family":"minimax_h3","path":"models/MiniMax-H3-Q4-GGUF/dit.gguf","task":"gen","mode":"offline","download_id":"minimax_h3","min_vram_gb":20,"default_options":{"num_inference_steps":12,"height":32,"width":32,"num_frames":241,"guidance_scale":1,"dit_acceleration":"none","return_video":false},"input_hint_en":"MiniMax-H3 uses a joint audio/video DiT. The default Q4 DiT is the quality-first choice; the optional CUDA-only INT8 ConvRot DiT trades slightly more VRAM for higher speed. Native Studio uses 12 denoising steps, a 32x32 latent canvas, quality-first full-DiT execution, and disables video decoding for practical audio-only generation on a 24 GB GPU."},{"id":"qwen3-asr","display_name":"Qwen3-ASR 0.6B (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-0.6B","task":"asr","mode":"offline","download_id":"qwen3_asr_0_6b","min_vram_gb":3},{"id":"qwen3-asr-1.7b","display_name":"Qwen3-ASR 1.7B HF (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-1.7B-hf","task":"asr","mode":"offline","download_id":"qwen3_asr_1_7b_hf","min_vram_gb":6,"input_hint":"**Qwen3-ASR 1.7B**（HF 原生权重，免转换）：精度高于 0.6B；长音频自动分段转写；8G 卡显存偏紧，长音频建议先短段试跑。","input_hint_en":"**Qwen3-ASR 1.7B**: native Hugging Face weights with no conversion required. It is more accurate than the 0.6B model and automatically chunks long audio; test short clips first on an 8 GB GPU."},{"id":"citrinet-asr","display_name":"Citrinet ASR (asr)","family":"citrinet_asr","path":"models/citrinet","task":"asr","mode":"offline","download_id":"citrinet_asr","min_vram_gb":2},{"id":"nemotron-asr","display_name":"Nemotron 3.5 ASR 0.6B (asr, 100+语种)","display_name_en":"Nemotron 3.5 ASR 0.6B (asr, 100+ languages)","family":"nemotron_asr","path":"models/nemotron-3.5-asr-streaming-0.6b","task":"asr","mode":"offline","download_id":"nemotron_asr","min_vram_gb":4,"input_hint":"**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。","input_hint_en":"**Nemotron ASR**: supports more than 100 languages using BCP-47 codes such as en-US or zh-CN. Leave language blank for automatic detection; long audio is handled by the model."},{"id":"higgs-audio-stt","display_name":"Higgs Audio v3 STT (asr, 英语)","display_name_en":"Higgs Audio v3 STT (asr, English)","family":"higgs_audio_stt","path":"models/higgs-audio-v3-stt","task":"asr","mode":"offline","download_id":"higgs_audio_stt","min_vram_gb":8,"input_hint":"**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。","input_hint_en":"**Higgs Audio STT**: English transcription. The text box accepts an instruction; offline mode automatically chunks long audio."},{"id":"hviske-asr","display_name":"Hviske v5.3 (asr, 丹麦语)","display_name_en":"Hviske v5.3 (asr, Danish)","family":"hviske_asr","path":"models/hviske-v5.3","task":"asr","mode":"offline","download_id":"hviske_asr","min_vram_gb":6,"input_hint":"**Hviske ASR**：丹麦语专用；模型侧自动分段。","input_hint_en":"**Hviske ASR**: dedicated Danish transcription with automatic model-side segmentation."},{"id":"vibevoice-asr","display_name":"VibeVoice ASR (asr, 多语种+说话人分段)","display_name_en":"VibeVoice ASR (asr, multilingual + speaker turns)","family":"vibevoice_asr","path":"models/VibeVoice-ASR","task":"asr","mode":"offline","download_id":"vibevoice_asr","min_vram_gb":20,"input_hint":"**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。","input_hint_en":"**VibeVoice ASR**: automatic language detection with segment and speaker-turn output. The text box accepts a context prompt. Its 17.3 GB weights require substantially more than 8 GB VRAM."},{"id":"voxtral-realtime","display_name":"Voxtral Mini 4B Realtime (asr, 自动语种+流式)","display_name_en":"Voxtral Mini 4B Realtime (asr, auto + streaming)","family":"voxtral_realtime","path":"models/Voxtral-Mini-4B-Realtime-2602-GGUF","task":"asr","mode":"offline","download_id":"voxtral_realtime","min_vram_gb":8},{"id":"fun-asr-nano","display_name":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","display_name_en":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","family":"fun_asr_nano","path":"models/Fun-ASR-Nano-2512-GGUF","task":"asr","mode":"offline","download_id":"fun_asr_nano_2512_q8_0","min_vram_gb":4,"input_hint":"**Fun-ASR-Nano**：轻量离线 ASR；支持 auto/中文/英语/日语。","input_hint_en":"**Fun-ASR-Nano**: lightweight offline ASR; supports auto, Chinese, English and Japanese."},{"id":"parakeet-tdt","display_name":"Parakeet-TDT 0.6B v3 (asr, 流式)","display_name_en":"Parakeet-TDT 0.6B v3 (asr + streaming)","family":"parakeet_tdt","path":"models/parakeet-tdt-0.6b-v3","task":"asr","mode":"offline","download_id":"parakeet_tdt","min_vram_gb":4,"input_hint":"**Parakeet-TDT**：离线/长音频/流式 ASR；支持多种欧洲语言，留空=自动。","input_hint_en":"**Parakeet-TDT**: offline, long-form and streaming ASR for many European languages; leave language empty for auto."},{"id":"kroko-asr","display_name":"Kroko Community ASR (asr, GGUF Q8)","display_name_en":"Kroko Community ASR (asr, GGUF Q8)","family":"kroko_asr","path":"models/Kroko-ASR-GGUF","task":"asr","mode":"offline","download_id":"kroko_asr_community_q8_0","min_vram_gb":4,"input_hint":"**Kroko Community ASR**：GGUF Q8 包；离线转写，支持时间戳。","input_hint_en":"**Kroko Community ASR**: GGUF Q8 package for offline transcription with timestamps."},{"id":"sense-asr","display_name":"SenseVoice-Small (asr, 流式, 社区)","display_name_en":"SenseVoice-Small (asr + streaming, community)","family":"sense_asr","path":"models/SenseVoice-Small-GGUF","task":"asr","mode":"offline","download_id":"sensevoice_small_q8","min_vram_gb":4,"input_hint":"**SenseVoice-Small**（社区模型）：多语种 ASR，事件/情感/语言标签，ITN 可开关；离线与流式模式。","input_hint_en":"**SenseVoice-Small** (community): multilingual ASR with event/emotion/language tags, optional ITN; offline and streaming modes."},{"id":"chatterbox-vc","display_name":"Chatterbox (vc 声音转换)","display_name_en":"Chatterbox (voice conversion)","family":"chatterbox","path":"models/chatterbox","task":"vc","mode":"offline","download_id":"chatterbox","min_vram_gb":12,"input_hint":"**Chatterbox VC**：上传源语音和目标音色参考；模型保留源语音内容，将说话人音色转换为目标音色，输出 24kHz 单声道。","input_hint_en":"**Chatterbox VC**: upload source speech and a target-voice reference. It preserves the source content and converts the speaker identity; output is 24 kHz mono."},{"id":"vevo2","display_name":"Vevo2 (vc 语音转换, GGUF Q8)","display_name_en":"Vevo2 (voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"vc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6},{"id":"vevo2-svc","display_name":"Vevo2 (svc 歌声转换, GGUF Q8)","display_name_en":"Vevo2 (singing voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"svc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。","input_hint_en":"**Vevo2 singing conversion**: upload source singing and a target-singer reference. The default route is style_preserved_svc; style-conversion routes also accept style_ref, style_ref_text and target_text in Additional options."},{"id":"vevo2-s2s","display_name":"Vevo2 (s2s 语音编辑, GGUF Q8)","display_name_en":"Vevo2 (speech editing, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"s2s","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\\"target_text\\": \\"替换后的完整句子\\"}`（编辑保持原说话人音色，可不上传目标音色）。","input_hint_en":"**Vevo2 speech editing**: upload source speech and set target_text to the complete replacement sentence in Additional options. Editing preserves the original speaker and does not require a target-voice reference."},{"id":"seed-vc","display_name":"Seed-VC (vc 语音转换)","display_name_en":"Seed-VC (voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"vc","mode":"offline","download_id":"seed_vc","min_vram_gb":4},{"id":"seed-vc-svc","display_name":"Seed-VC (svc 歌声转换)","display_name_en":"Seed-VC (singing voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"svc","mode":"offline","download_id":"seed_vc","min_vram_gb":4,"input_hint":"**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。","input_hint_en":"**Seed-VC singing conversion**: upload source singing and a target-singer reference. The default route is v1_svc with F0 conditioning."},{"id":"rvc","display_name":"RVC (vc, GGUF F16)","display_name_en":"RVC (voice conversion, GGUF F16)","family":"rvc","path":"models/RVC-GGUF","task":"vc","mode":"offline","download_id":"rvc_f16","min_vram_gb":4,"input_hint":"**RVC**：所选 GGUF 即目标音色；上传源语音即可转换；索引/音高等选项可用 JSON 传。","input_hint_en":"**RVC**: the selected GGUF is the target voice; upload source speech to convert. Index and pitch options can be passed through the JSON box."},{"id":"miocodec","display_name":"MioCodec (vc; codec dependency)","family":"miocodec","path":"models/MioCodec-25Hz-44.1kHz-v2","task":"vc","mode":"offline","download_id":"miocodec_25hz_44k_v2","min_vram_gb":3},{"id":"htdemucs","display_name":"HTDemucs (sep 音源分离)","display_name_en":"HTDemucs (source separation)","family":"htdemucs","path":"models/htdemucs","task":"sep","mode":"offline","download_id":"htdemucs","min_vram_gb":3},{"id":"bs-roformer","display_name":"BS-RoFormer (sep 人声分离)","display_name_en":"BS-RoFormer (vocal separation)","family":"bs_roformer","path":"models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf","task":"sep","mode":"offline","download_id":"bs_roformer_q8_0","min_vram_gb":3},{"id":"mel-band-roformer","display_name":"Mel-Band RoFormer (sep 人声分离)","display_name_en":"Mel-Band RoFormer (vocal separation)","family":"mel_band_roformer","path":"models/mel-roformer-mlx","task":"sep","mode":"offline","download_id":"mel_band_roformer","min_vram_gb":3},{"id":"silero-vad","display_name":"Silero VAD (vad, bundled)","family":"silero_vad","path":"assets/framework/models/silero_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"marblenet-vad","display_name":"MarbleNet VAD (vad, bundled)","family":"marblenet_vad","path":"assets/framework/models/marblenet_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"sortformer-diar","display_name":"Sortformer Diarization 4spk (diar)","family":"sortformer_diar","path":"models/diar_sortformer_4spk-v1","task":"diar","mode":"offline","download_id":"sortformer_diar_4spk_v1","min_vram_gb":2},{"id":"qwen3-forced-aligner","display_name":"Qwen3 Forced Aligner (align)","family":"qwen3_forced_aligner","path":"models/Qwen3-ForcedAligner-0.6B","task":"align","mode":"offline","download_id":"qwen3_forced_aligner_0_6b","min_vram_gb":3},{"id":"muscriptor-small","display_name":"MuScriptor Small (audio to MIDI)","family":"muscriptor","path":"models/MuScriptor-Small-GGUF","task":"midi","mode":"offline","download_id":"muscriptor_small_f32","min_vram_gb":4},{"id":"qwen3-tts-1.7b-vdesign","display_name":"Qwen3-TTS 1.7B VoiceDesign (vdes)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-VoiceDesign","task":"vdes","mode":"offline","download_id":"qwen3_tts_1_7b_voice_design","min_vram_gb":8,"input_hint":"**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。","input_hint_en":"**Qwen3-TTS VoiceDesign**: describe the desired voice, then enter the text to synthesize. No reference recording is required."},{"id":"irodori-tts-vdesign","display_name":"Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v4 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."},{"id":"irodori-tts-v3-vdesign","display_name":"Irodori-TTS 600M v3 VoiceDesign (vdes 日语)","display_name_en":"Irodori-TTS 600M v3 VoiceDesign (ja vdes)","family":"irodori_tts","path":"models/Irodori-TTS-600M-v3-VoiceDesign-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_600m_v3_voicedesign_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."}]')},qg={_comment:"WebUI TTS 高级参数控件配置：按模型 family 动态生成控件（gr.render）。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/info=显示文案；default=默认值(应等于模型默认，已按 src/models/<family>/*.cpp 校对)；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。规则：只有被用户改动过的控件值才会随请求发送；seed/max_tokens 已有专用输入框，勿在此重复；参考文本用『参考文本』框(reference_text)；文件路径/parity 类参数(如 *_noise_file)未纳入，可用『其它参数(JSON)』兜底框传。",qwen3_tts:[{name:"temperature",type:"slider",label:"temperature",default:.9,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.05,minimum:1,maximum:2,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"instruct",type:"text",label:"instruct（仅 VoiceDesign/CustomVoice）",default:"",placeholder:"风格/音色指令，Base 版忽略"},{name:"speaker",type:"text",label:"speaker（仅 CustomVoice）",default:"",placeholder:"内置音色名，其它版忽略"}],vibevoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"扩散步数（官方默认 10），越大越慢越稳"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1.3,minimum:0,maximum:5,step:.1,info:"CFG 引导强度"},{name:"max_length_times",type:"number",label:"max_length_times",default:2,minimum:.1,step:.1,info:"最大输出长度倍数"},{name:"temperature",type:"slider",label:"temperature",default:1,minimum:.05,maximum:2,step:.05},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:.05,maximum:1,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!1},{name:"voice_samples",type:"text",label:"voice_samples（多说话人，逗号分隔 wav，≤4）",default:"",placeholder:"D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色"}],voxcpm2:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"CFM/DiT 步数"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"min_tokens",type:"number",label:"min_tokens",default:2,minimum:0,step:1,precision:0},{name:"retry_badcase",type:"bool",label:"retry_badcase（自动重试异常输出）",default:!0}],miotts:[{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:1.5,step:.01},{name:"best_of_n",type:"number",label:"best_of_n（候选数，>1 自动开启）",default:1,minimum:1,maximum:8,step:1,precision:0}],chatterbox:[{name:"exaggeration",type:"slider",label:"exaggeration",default:.5,minimum:0,maximum:2,step:.05,info:"改动后需重新『加载模型』才生效"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.5,minimum:0,maximum:1,step:.05,info:"改动后需重新『加载模型』才生效"},{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.2,minimum:1,maximum:2,step:.01}],"chatterbox-vc":[{name:"s3gen_cfg_rate",type:"slider",label:"s3gen_cfg_rate（音色引导强度）",label_en:"s3gen_cfg_rate (voice guidance)",default:.7,minimum:0,maximum:2,step:.05},{name:"num_inference_steps",type:"number",label:"num_inference_steps（生成步数）",label_en:"num_inference_steps",default:10,minimum:1,maximum:100,step:1,precision:0}],omnivoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:32,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"speed",type:"slider",label:"speed",default:1,minimum:.5,maximum:2,step:.05},{name:"instruct",type:"text",label:"instruct（风格/音色指令）",default:"",placeholder:"如：以轻快的语气朗读"}],sense_asr:[{name:"enable_itn",type:"bool",label:"enable_itn（逆文本规范化）",label_en:"enable_itn",default:!0},{name:"keep_tags",type:"bool",label:"keep_tags（保留语言/情绪/事件标签）",label_en:"keep_tags",default:!1},{name:"audio_chunk_mode",type:"choice",label:"audio_chunk_mode",default:"auto",choices:["auto","fixed","none"]},{name:"audio_chunk_duration_sec",type:"number",label:"audio_chunk_duration_sec",default:30,minimum:.001,step:1}],pocket_tts:[{name:"frames_after_eos",type:"number",label:"frames_after_eos（-1=自动）",default:-1,minimum:-1,step:1,precision:0}],neutts:[{name:"voice_id",type:"choice",label:"voice_id（内置音色）",label_en:"voice_id (built-in voice)",default:"emily",choices:["dave","emily","greta","jo","juliette","mateo","paul","sophie","steven"]},{name:"emotion",type:"choice",label:"emotion（情绪）",label_en:"emotion",default:"neutral",choices:["angry","disgusted","sad","happy","fearful","neutral","surprised"]}],inflect_v2:[{name:"speaking_rate",type:"slider",label:"speaking_rate（语速倍率）",label_en:"speaking_rate",default:1,minimum:.5,maximum:2,step:.05},{name:"variation",type:"slider",label:"variation（音色变化）",label_en:"variation",default:.667,minimum:0,maximum:1,step:.01},{name:"text_chunk_size",type:"number",label:"text_chunk_size（长文本分段字符数）",label_en:"text_chunk_size",default:280,minimum:1,step:1,precision:0}],dramabox:[{name:"negative_prompt",type:"text",label:"negative_prompt（负向提示）",label_en:"negative_prompt",default:"",placeholder:"留空=模型内置质量提示",placeholder_en:"Blank = built-in quality prompt"},{name:"duration_sec",type:"number",label:"duration_sec（0=自动估时）",label_en:"duration_sec (0 = auto)",default:0,minimum:0,step:.5},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:30,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2.5,minimum:0,maximum:8,step:.1},{name:"spatio_temporal_guidance_scale",type:"slider",label:"spatio_temporal_guidance_scale",default:1.5,minimum:0,maximum:5,step:.1},{name:"duration_scale",type:"slider",label:"duration_scale（自动估时倍率）",label_en:"duration_scale",default:1.1,minimum:.5,maximum:2,step:.05},{name:"reference_duration_sec",type:"number",label:"reference_duration_sec（参考音频裁剪/重复秒数）",label_en:"reference_duration_sec",default:10,minimum:0,step:.5},{name:"guidance_rescale",type:"text",label:"guidance_rescale",default:"auto",placeholder:"auto 或数值"},{name:"audio_chunk_threshold_sec",type:"number",label:"audio_chunk_threshold_sec（长文本阈值）",label_en:"audio_chunk_threshold_sec",default:45,minimum:0,step:1},{name:"audio_chunk_duration_sec",type:"number",label:"audio_chunk_duration_sec（长文本分段目标时长）",label_en:"audio_chunk_duration_sec",default:37,minimum:0,step:1},{name:"cross_fade_duration_sec",type:"number",label:"cross_fade_duration_sec（分段交叉淡化）",label_en:"cross_fade_duration_sec",default:.05,minimum:0,step:.01}],confucius4_tts:[{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:30,minimum:1,step:1,precision:0},{name:"num_beams",type:"number",label:"num_beams",default:3,minimum:1,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:10,minimum:0,maximum:20,step:.1},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:25,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.7,minimum:0,maximum:2,step:.05},{name:"text_chunk_size",type:"number",label:"text_chunk_size",default:80,minimum:1,step:1,precision:0},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",default:"default",choices:["default","tag_aware","japanese","endline"]},{name:"cross_fade_duration_sec",type:"number",label:"cross_fade_duration_sec",default:.3,minimum:0,step:.05},{name:"edge_fade_duration_sec",type:"number",label:"edge_fade_duration_sec",default:.1,minimum:0,step:.05},{name:"edge_pad_duration_sec",type:"number",label:"edge_pad_duration_sec",default:.1,minimum:0,step:.05}],ace_step:[{name:"route",type:"choice",label:"route（操作类型）",default:"text2music",choices:["text2music","complete","lego","extract","cover","cover-nofsq","repaint","remix"],info:"cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,maximum:20,step:1,precision:0,info:"扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8"},{name:"shift",type:"slider",label:"shift（时间步弯曲）",default:3,minimum:1,maximum:5,step:.5,info:"原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_cover_strength",type:"slider",label:"【cover】audio_cover_strength",default:1,minimum:0,maximum:1,step:.05,info:"1=贴近原曲，0=自由发挥；建议 0.5"},{name:"cover_noise_strength",type:"slider",label:"【cover】cover_noise_strength",default:0,minimum:0,maximum:1,step:.05,info:"保旋律强度；推荐 0.1~0.25"},{name:"source_caption",type:"text",label:"【remix】source_caption",default:"",placeholder:"源歌曲描述；『🔍 分析』自动填"},{name:"source_lyrics",type:"text",lines:4,label:"【remix】source_lyrics",default:"",placeholder:"源歌曲原歌词；『🔍 分析』自动填"},{name:"flow_edit_n_min",type:"slider",label:"【remix】flow_edit_n_min",default:0,minimum:0,maximum:1,step:.05,info:"调大更保源曲、换词更弱"},{name:"flow_edit_n_max",type:"slider",label:"【remix】flow_edit_n_max",default:1,minimum:0,maximum:1,step:.05,info:"唱不出新歌词时降到 0.7~0.9"},{name:"flow_edit_n_avg",type:"number",label:"【remix】flow_edit_n_avg",default:2,minimum:1,maximum:4,step:1,precision:0,info:"每步多次采样取平均（remix 默认 2）；1=最快"},{name:"bpm",type:"number",label:"【曲谱】BPM",default:0,minimum:0,step:1,precision:0,info:"0=不指定"},{name:"keyscale",type:"text",label:"【曲谱】keyscale",default:"",placeholder:"如 F major"},{name:"timesignature",type:"text",label:"【曲谱】timesignature",default:"",placeholder:"如 4"}],minimax_h3:[{name:"num_inference_steps",type:"number",label:"Denoising steps",default:12,minimum:1,maximum:50,step:1,precision:0,info:"Twelve denoising steps provide a practical quality and performance balance."},{name:"num_frames",type:"number",label:"Output frames",default:241,minimum:5,maximum:1441,step:4,precision:0,info:"Approximately 24 frames per output second; 241 frames produces about 10 seconds of audio."},{name:"guidance_scale",type:"slider",label:"Guidance scale",default:1,minimum:0,maximum:5,step:.1},{name:"sampler",type:"choice",label:"Sampler",default:"euler",choices:["euler","res_multistep","dpmpp_2m","unipc"]},{name:"dit_acceleration",type:"choice",label:"DiT acceleration",default:"none",choices:["none","spectrum","first_block_cache"],info:"None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs."},{name:"return_video",type:"bool",label:"Decode video",default:!1,info:"Disabled by default to reduce memory use and return audio only."}],stable_audio:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,step:1,precision:0,info:"RF 扩散步数"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_input_kind",type:"choice",label:"audio_input_kind（仅上传源音频时生效）",default:"init_audio",choices:["init_audio","inpaint_audio"]},{name:"init_noise_level",type:"slider",label:"init_noise_level（init_audio 强度）",default:1,minimum:0,maximum:1,step:.05}],seed_vc:[{name:"route",type:"choice",label:"route（转换路径）",default:"",choices:["","v2_vc","v1_whisper_bigvgan_vc","v1_xlsr_hift_vc","v1_svc"],info:"留空=按任务默认"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:30,minimum:1,step:1,precision:0,info:"CFM 扩散步数"},{name:"length_adjust",type:"slider",label:"length_adjust（时长伸缩）",default:1,minimum:.5,maximum:2,step:.05},{name:"intelligibility_cfg_rate",type:"slider",label:"intelligibility_cfg_rate（仅 v2_vc）",default:.7,minimum:0,maximum:1,step:.05},{name:"similarity_cfg_rate",type:"slider",label:"similarity_cfg_rate（仅 v2_vc）",default:.7,minimum:0,maximum:1,step:.05},{name:"inference_cfg_rate",type:"slider",label:"inference_cfg_rate（仅 v1 路径）",default:.7,minimum:0,maximum:1,step:.05}],rvc:[{name:"voice_id",type:"choice",label:"voice_id（打包音色）",label_en:"voice_id",default:"default",choices:["default","manthos","chocola","fraise"]},{name:"voice_model_path",type:"text",label:"voice_model_path（自定义 RVC .pth/.pt）",label_en:"voice_model_path",default:"",placeholder:"留空=使用打包音色"},{name:"retrieval_index_path",type:"text",label:"retrieval_index_path（FAISS index）",label_en:"retrieval_index_path",default:"",placeholder:"可选 .index 路径"},{name:"retrieval_blend",type:"slider",label:"retrieval_blend",default:0,minimum:0,maximum:1,step:.05},{name:"semitone_shift",type:"number",label:"semitone_shift（半音变调）",label_en:"semitone_shift",default:0,step:1,precision:0},{name:"pitch_filter_radius",type:"number",label:"pitch_filter_radius",default:3,minimum:0,step:1,precision:0},{name:"output_sample_rate",type:"number",label:"output_sample_rate（0=跟随音色）",label_en:"output_sample_rate (0 = voice default)",default:0,minimum:0,step:1e3,precision:0},{name:"rms_mix_rate",type:"slider",label:"rms_mix_rate",default:.25,minimum:0,maximum:1,step:.05},{name:"unvoiced_protection",type:"slider",label:"unvoiced_protection",default:.33,minimum:0,maximum:1,step:.01},{name:"speaker_id",type:"number",label:"speaker_id",default:0,minimum:0,step:1,precision:0},{name:"audio_pad_duration_sec",type:"number",label:"audio_pad_duration_sec",default:1,minimum:1,step:1,precision:0},{name:"split_query_sec",type:"number",label:"split_query_sec",default:5,minimum:1,step:1,precision:0},{name:"split_center_sec",type:"number",label:"split_center_sec",default:30,minimum:1,step:1,precision:0},{name:"split_threshold_sec",type:"number",label:"split_threshold_sec",default:32,minimum:1,step:1,precision:0}],vevo2:[{name:"route",type:"choice",label:"route（任务路线）",default:"",choices:["","style_preserved_vc","style_converted_vc","style_preserved_svc","style_converted_svc","singing_style_conversion","editing"],info:"留空=按任务默认；详见 webui/README.md"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:32,minimum:1,step:1,precision:0,info:"流匹配步数"},{name:"use_pitch_shift",type:"choice",label:"use_pitch_shift（自动音高对齐）",default:"",choices:["","true","false"],info:"留空=按路线默认"},{name:"temperature",type:"slider",label:"temperature（AR 路线用）",default:.7,minimum:0,maximum:2,step:.05,info:"默认取自模型 generation_config.json"},{name:"top_k",type:"number",label:"top_k（AR 路线用）",default:20,minimum:0,step:1,precision:0,info:"默认取自模型 generation_config.json"},{name:"top_p",type:"slider",label:"top_p（AR 路线用）",default:.8,minimum:0,maximum:1,step:.01}],heartmula:[{name:"tags",type:"text",label:"tags（必填，逗号分隔）",default:"",placeholder:"pop,bright,drums,female vocals",info:"风格/情绪/乐器/人声标签，模型必需"},{name:"temperature",type:"slider",label:"temperature",default:1,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale（MuLa CFG）",default:1.5,minimum:0,maximum:5,step:.1},{name:"num_inference_steps",type:"number",label:"num_inference_steps（codec 步数）",default:10,minimum:1,step:1,precision:0},{name:"infinite_mode",type:"bool",label:"infinite_mode（长输出分段生成）",default:!1},{name:"codec_guidance_scale",type:"slider",label:"codec_guidance_scale",default:1.25,minimum:0,maximum:5,step:.05}],index_tts2:[{name:"lang",type:"choice",label:"lang（语种提示, 仅 IndexTTS2.5 模型）",label_en:"lang (language hint, IndexTTS2.5 models only)",default:"auto",choices:["auto","zh","en","ja","es","ar"],info:"仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择",info_en:"Only applies to IndexTTS2.5 (multilingual) models: auto picks zh when the text contains Han characters, otherwise en; set ja/es/ar explicitly"},{name:"emotion_text",type:"text",label:"emotion_text（情绪参考文本）",label_en:"emotion_text (emotion reference text)",default:"",placeholder:"例：你吓死我了！你是鬼吗？",placeholder_en:"e.g. You scared me to death!",info:"填写后自动开启情感条件（use_emotion_text）",info_en:"Setting this enables emotion conditioning."},{name:"emotion_alpha",type:"slider",label:"emotion_alpha（情感强度）",label_en:"emotion_alpha",default:1,minimum:0,maximum:1,step:.05},{name:"use_emotion_text",type:"bool",label:"use_emotion_text（从朗读文本推断情感）",label_en:"use_emotion_text (infer from text)",default:!1},{name:"use_random_emotion",type:"bool",label:"use_random_emotion（随机情感）",label_en:"use_random_emotion",default:!1},{name:"interval_silence_ms",type:"number",label:"interval_silence_ms（分段间静音）",label_en:"interval_silence_ms",default:200,minimum:0,step:50,precision:0},{name:"duration_factor",type:"slider",label:"duration_factor（语速/时长倍率，>1 更慢，<1 更快）",label_en:"duration_factor (duration multiplier; >1 slower, <1 faster)",default:1,minimum:.5,maximum:2,step:.05,info:"对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容",info_en:"Matches official IndexTTS2.5 duration_factor: scales output duration without changing timbre or content"}],irodori_tts:[{name:"num_inference_steps",type:"number",label:"num_inference_steps（RF 扩散步数）",label_en:"num_inference_steps",default:40,minimum:1,step:1,precision:0},{name:"duration_sec",type:"number",label:"duration_sec（0=模型自动预测时长）",label_en:"duration_sec (0 = auto)",default:0,minimum:0,step:.5},{name:"duration_scale",type:"slider",label:"duration_scale（语速倒数，越大越慢）",label_en:"duration_scale",default:1,minimum:.5,maximum:2,step:.05}],moss_tts_local:[{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"temperature",type:"slider",label:"temperature",default:1.7,minimum:0,maximum:2.5,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:25,minimum:0,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:2,step:.01}],moss_tts_nano:[{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"temperature",type:"slider",label:"temperature",default:1.7,minimum:0,maximum:2.5,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:25,minimum:0,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:2,step:.01}],supertonic:[{name:"voice",type:"choice",label:"voice（预置音色：M 男声 / F 女声）",label_en:"voice (M = male, F = female presets)",default:"M1",choices:["M1","M2","M3","M4","M5","F1","F2","F3","F4","F5"]},{name:"speaking_rate",type:"slider",label:"speaking_rate（语速倍率）",label_en:"speaking_rate",default:1.05,minimum:.5,maximum:2,step:.05},{name:"num_inference_steps",type:"number",label:"num_inference_steps（流匹配步数）",label_en:"num_inference_steps",default:8,minimum:1,step:1,precision:0}]},cu=Object.assign({"../../../../model_specs/ace_step.json":A_,"../../../../model_specs/bs_roformer.json":C_,"../../../../model_specs/chatterbox.json":R_,"../../../../model_specs/citrinet_asr.json":E_,"../../../../model_specs/confucius4_tts.json":B_,"../../../../model_specs/dots_tts.json":D_,"../../../../model_specs/dramabox.json":V_,"../../../../model_specs/fish_audio.json":I_,"../../../../model_specs/fun_asr_nano.json":P_,"../../../../model_specs/glm_tts.json":L_,"../../../../model_specs/heartmula.json":O_,"../../../../model_specs/higgs_audio_stt.json":N_,"../../../../model_specs/higgs_audio_tts.json":H_,"../../../../model_specs/htdemucs.json":Q_,"../../../../model_specs/hviske_asr.json":J_,"../../../../model_specs/index_tts2.json":W_,"../../../../model_specs/inflect_v2.json":K_,"../../../../model_specs/irodori_tts.json":X_,"../../../../model_specs/kroko_asr.json":Z_,"../../../../model_specs/mel_band_roformer.json":Y_,"../../../../model_specs/minimax_h3.json":eg,"../../../../model_specs/miocodec.json":tg,"../../../../model_specs/miotts.json":ig,"../../../../model_specs/moss_tts_local.json":og,"../../../../model_specs/moss_tts_nano.json":ng,"../../../../model_specs/muscriptor.json":sg,"../../../../model_specs/nemotron_asr.json":ag,"../../../../model_specs/neutts.json":rg,"../../../../model_specs/omnivoice.json":lg,"../../../../model_specs/outetts.json":dg,"../../../../model_specs/parakeet_tdt.json":cg,"../../../../model_specs/pocket_tts.json":ug,"../../../../model_specs/qwen3_asr.json":fg,"../../../../model_specs/qwen3_forced_aligner.json":mg,"../../../../model_specs/qwen3_tts.json":pg,"../../../../model_specs/rvc.json":_g,"../../../../model_specs/seed_vc.json":gg,"../../../../model_specs/sense_asr.json":hg,"../../../../model_specs/sortformer_diar.json":vg,"../../../../model_specs/stable_audio.json":yg,"../../../../model_specs/supertonic.json":bg,"../../../../model_specs/vevo2.json":kg,"../../../../model_specs/vibevoice.json":wg,"../../../../model_specs/vibevoice_asr.json":xg,"../../../../model_specs/vietneu_tts.json":$g,"../../../../model_specs/voxcpm2.json":Sg,"../../../../model_specs/voxtral_realtime.json":Gg}),Fg=Object.values(cu).flatMap(t=>(t.packages||[]).map(i=>({...i,family:t.family}))),jg=new Map(Object.values(cu).map(t=>[t.family,t])),zg=/[\u3400-\u4dbf\u4e00-\u9fff\uf900-\ufaff]/u;function Ds(t,i){for(const o of[t,i])if(o&&!zg.test(o))return o;return""}function Ug(t,i,o){return Ds(i,o)||t.replace(/_/g," ")}const uu=t=>t.replace(/\\/g,"/").replace(/^\.\//,"").replace(/^models\//i,"").replace(/\/$/,"").toLowerCase(),fu=t=>t.toLowerCase().replace(/[^a-z0-9]/g,"");function ql(t){return t.find(i=>i.default)||t.find(i=>i.precision==="q8_0")||t[0]}function Mg(t){const i=Fg.filter(d=>d.family===t.family);if(!i.length)return[];if(t.family==="ace_step"||!t.download_id)return i;const o=i.find(d=>d.id===t.download_id);if(o){const d=o.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,""),m=i.filter(h=>h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,"")===d);return m.length?m:[o]}const n=fu(t.download_id),s=i.filter(d=>{const m=fu(d.id);return m.startsWith(n)||n.startsWith(m)});if(s.length)return s;const a=uu(t.path),l=i.filter(d=>uu(d.target_directory)===a);if(l.length){const d=new Set(l.map(h=>h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,""))),m=i.filter(h=>d.has(h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,"")));return m.length?m:l}return i}function mu(t){if(t.family==="ace_step"){const i=t.id.includes("_base_")?"Base":t.id.includes("_turbo_")?"Turbo":"",o=t.precision==="bf16"?"BF16":["q8_0","q8"].includes(t.precision)?"Q8":t.precision.toUpperCase();return i?`${i} ${o}`:`GGUF ${o}`}return t.format==="safetensors"?"Safetensors":t.id.includes("int8_dit")?"GGUF Q4 ConvRot":t.precision==="q4_k"||t.precision==="q4_0"?"GGUF Q4":t.precision==="q8_0"||t.precision==="q8"?"GGUF Q8":t.precision==="bf16"?"GGUF BF16":t.precision==="f16"||t.precision==="fp16"?"GGUF FP16":`GGUF ${t.precision.toUpperCase()}`}function pu(t){let i;if(t.format==="gguf"&&t.family==="minimax_h3"){const s=t.id.includes("int8_dit")?"dit_int8.gguf":"dit.gguf";i=t.files?.find(a=>a.toLowerCase().endsWith(`/${s}`))}else t.format==="gguf"&&(i=t.files?.find(s=>s.toLowerCase().endsWith(".gguf")));if(!i)return`models/${t.target_directory}`;let o=i.replace(/\\/g,"/");const n=(t.strip_prefix||"").replace(/\\/g,"/").replace(/\/$/,"");return n&&o.startsWith(`${n}/`)&&(o=o.slice(n.length+1)),`models/${t.target_directory}/${o}`.replace(/\/+/g,"/")}function Ag(t){const i=Mg(t);if(t.family==="ace_step")return i.filter(a=>a.format==="gguf").map(a=>({id:a.id,label:mu(a),path:pu(a),format:a.format,precision:a.precision}));const o=ql(i.filter(a=>a.format==="gguf"&&["q8_0","q8"].includes(a.precision))),n=ql(i.filter(a=>a.format==="gguf"&&["f16","fp16"].includes(a.precision)))||ql(i.filter(a=>a.format==="gguf"&&a.precision==="bf16")),s=!o&&!n?i.filter(a=>a.format==="gguf"):[];return[o,n,...s].filter(a=>a!==void 0).map(a=>({id:a.id,label:mu(a),path:pu(a),format:a.format,precision:a.precision}))}const Tt=Tg.models.flatMap(t=>{const i=Ag(t);if(t.download_id&&i.length===0)return[];const o=i[0],n=jg.get(t.family);return[{...t,display_name:Ds(t.display_name_en,t.display_name)||t.id,input_hint:Ds(t.input_hint_en,t.input_hint),download_id:o?.id||t.download_id,install_packages:i,path:o?.path||t.path,request_options:n?.options?.request?.map(s=>s.name),builtin_voices:n?.ui?.builtin_voices,default_voice:n?.ui?.default_voice}]}),_u=Object.fromEntries(Object.entries(qg).filter(t=>Array.isArray(t[1])).map(([t,i])=>[t,i.map(o=>({...o,label:Ug(o.name,o.label_en,o.label),placeholder:Ds(o.placeholder_en,o.placeholder),info:Ds(o.info_en,o.info)}))])),Cg={tts:"Text to speech",clon:"Voice cloning",asr:"Transcription",gen:"Music & sound",midi:"Audio to MIDI",vc:"Voice conversion",svc:"Singing conversion",s2s:"Speech editing",sep:"Source separation",vad:"Voice activity",diar:"Speaker diarization",align:"Forced alignment",vdes:"Voice design",spk:"Speaker analysis"},Rg={code:"it",name:"Italiano",translations:{"request.minimaxFrames":"{frames} fotogrammi di output allineati","param.minimax_h3.num_inference_steps.label":"Passaggi di denoising","param.minimax_h3.num_inference_steps.info":"Dodici passaggi di denoising offrono un buon equilibrio tra qualità e prestazioni.","param.minimax_h3.num_frames.label":"Fotogrammi di output","param.minimax_h3.num_frames.info":"Calcolati dalla durata a circa 24 fotogrammi per secondo di output. Modificando i fotogrammi si aggiorna anche la durata.","param.minimax_h3.guidance_scale.label":"Scala di guida","param.minimax_h3.sampler.label":"Campionatore","param.minimax_h3.dit_acceleration.label":"Accelerazione DiT","param.minimax_h3.dit_acceleration.info":"None usa il percorso DiT completo orientato alla qualità. Le modalità accelerate sono sperimentali e possono distorcere alcuni risultati.","param.minimax_h3.return_video.label":"Decodifica video","param.minimax_h3.return_video.info":"Disattivata per impostazione predefinita per ridurre l'uso della memoria e restituire solo l'audio.","model.minimax_h3.hint":"MiniMax-H3 usa un DiT audio/video congiunto. GGUF Q4 privilegia la qualità; GGUF Q4 ConvRot, solo CUDA, usa un po' più VRAM per una maggiore velocità. Il percorso DiT completo predefinito privilegia la qualità audio e disattiva la decodifica video.","status.modelReady":"{model} è caricato e pronto.","status.runningTask":"Esecuzione di {task}...","status.completeIn":"Completato in {seconds} s.","status.packageAvailable":"{model} userà {format}. Ora è disponibile nello Studio.","app.nativeStudio":"Studio nativo","nav.studio":"Studio","nav.models":"Modelli","nav.runtime":"Runtime","language.label":"Lingua dell'interfaccia","workflow.tts":"Sintesi vocale","workflow.asr":"ASR / Trascrizione","workflow.music":"Generazione musicale","workflow.vc":"Conversione vocale","workflow.sep":"Separazione sorgenti","workflow.analysis":"Analisi audio","workflow.design":"Progettazione voce","studio.eyebrow":"INTELLIGENZA AUDIO LOCALE","studio.title":"Studio audio","studio.subtitle.tts":"Genera una voce naturale dal testo, con voci predefinite e clonazione quando supportate.","studio.subtitle.asr":"Trascrivi l'audio parlato in testo, con controlli di lingua e timestamp quando supportati.","studio.subtitle.music":"Crea musica e suoni da una descrizione, un testo o un audio di riferimento.","studio.subtitle.vc":"Trasforma una registrazione in un'altra voce conservando l'interpretazione parlata o cantata.","studio.subtitle.sep":"Separa una registrazione in voce, strumenti o altre tracce audio disponibili.","studio.subtitle.analysis":"Analizza attività vocale, parlanti, tempi e allineamento dell'audio.","studio.subtitle.design":"Crea o perfeziona una voce da una descrizione e dai controlli di riferimento supportati.","studio.model":"Modello","studio.noModel":"Nessun modello selezionato","studio.resident":"Caricato","studio.notInstalled":"Non installato","studio.available":"Disponibile","studio.chooseInstalled":"Scegli un modello installato","studio.notDownloaded":"non scaricato","studio.pathFound":"Percorso trovato","studio.pathMissing":"Percorso mancante","studio.pathUnknown":"Percorso non verificato","studio.load":"Carica modello","studio.unload":"Scarica modello","studio.working":"Elaborazione…","studio.bundledLoaded":"Integrato · caricato","request.label":"RICHIESTA","request.title":"Input e controlli","request.prompt":"Prompt","request.text":"Testo","request.splitLongText":"Dividi e unisci testi lunghi","request.charactersPerChunk":"Caratteri per segmento","request.language":"Lingua","request.autoLanguage":"vuoto = automatico","request.seed":"Seed","request.randomSeed":"-1 = casuale","request.maxTokens":"Token massimi","request.sourceAudio":"Audio sorgente","request.recordMicrophone":"Registra microfono","voice.quickStart":"Voci demo per avvio rapido","voice.useReference":"Usa un file audio di riferimento qui sotto","voice.reference":"Voce di riferimento","voice.required":"obbligatoria","voice.optional":"opzionale","voice.referenceText":"Testo di riferimento","voice.transcript":"Trascrizione di riferimento","voice.saved":"Voci salvate","voice.browserOnly":"solo in questo browser","voice.chooseSaved":"Scegli una voce salvata...","voice.libraryName":"Nome nella libreria","voice.save":"Salva voce","common.delete":"Elimina","common.cancel":"Annulla","common.close":"Chiudi","common.refresh":"Aggiorna","common.browse":"Sfoglia","common.apply":"Applica","options.modelParameters":"Parametri del modello","options.additional":"Opzioni aggiuntive","run.run":"Esegui","run.cancel":"Annulla","run.working":"Elaborazione…","result.title":"Risultato","result.label":"RISULTATO","result.saveWav":"Salva WAV","result.empty":"L'audio generato e i risultati strutturati appariranno qui.","models.eyebrow":"LIBRERIA MODELLI","models.title":"Pacchetti locali","models.subtitle":"Scarica e gestisci i pacchetti dei modelli senza uscire dall'interfaccia.","models.folder":"Cartella modelli","models.useDefault":"Usa predefinita","models.showTypes":"Mostra tipi di modello","models.stopDownload":"Interrompi download","models.cleanPartial":"Elimina download parziale","runtime.title":"Registro sessione","runtime.status":"Stato","runtime.backend":"Backend","runtime.registered":"Registrati","runtime.resident":"Caricati","runtime.noEvents":"Nessun evento.","folder.title":"Scegli una cartella","folder.up":"Livello superiore","folder.select":"Seleziona questa cartella","common.applying":"Applicazione…","common.disabled":"Disabilitato","common.enabled":"Abilitato","file.choose":"Scegli file","file.none":"Nessun file selezionato","folder.closeLabel":"Chiudi selettore cartelle","folder.empty":"Questa cartella non contiene sottocartelle.","folder.eyebrow":"CARTELLA MODELLI","folder.loading":"Caricamento...","folder.loadingFolders":"Caricamento cartelle...","footer.embedded":"SvelteKit · incorporato in audiocpp_server","models.checkingSize":"verifica dimensione…","models.default":"Predefinita","models.downloaded":"Scaricato","models.folderHint":"download, rilevamento locale e caricamento dei modelli","models.folderPlaceholder":"cartella models accanto ad audiocpp_server","models.hfAccess":"Accesso HF richiesto","models.model":"modello","models.queued":"in coda","models.reinstall":"Reinstalla","models.selected":"Selezionato","models.sharedPackage":"Usa il pacchetto condiviso {name} mostrato sopra.","models.sizeUnavailable":"dimensione non disponibile","models.stopping":"arresto","models.update":"Aggiorna","models.updateAvailable":"Aggiornamento disponibile","models.upToDate":"Aggiornato","models.variants":"varianti","models.versionUnknown":"Versione sconosciuta","nav.primary":"Navigazione principale","nav.workflows":"Flussi di lavoro audio","request.alignmentText":"Testo di allineamento","request.context":"Prompt di contesto","request.contextHint":"terminologia o nomi opzionali","request.duration":"Durata in secondi","request.liveDescription":"Elabora richieste consecutive di quattro secondi usando la modalità streaming del modello.","request.liveTitle":"Trascrizione microfono in diretta","request.lyrics":"Testo della canzone","request.optional":"opzionale","request.recordingMicrophone":"Registrazione microfono","request.soundPlaceholder":"Descrivi il suono o la musica…","request.startLive":"Avvia diretta","request.stopLive":"Ferma diretta","request.stopRecording":"Ferma registrazione","request.textPlaceholder":"Inserisci il testo…","request.voiceDescription":"Descrizione della voce","request.voiceDescriptionPlaceholder":"Una voce calda e calma con ritmo misurato…","result.track":"traccia","result.tracks":"tracce","runtime.eyebrow":"RUNTIME","runtime.subtitle":"Eventi del ciclo di vita e delle richieste nel browser.","status.ready":"Pronto","studio.estimatedVram":"VRAM stimata: {value} GB","studio.vram":"VRAM —","task.align":"Allineamento forzato","task.asr":"Trascrizione","task.clon":"Clonazione vocale","task.diar":"Diarizzazione parlanti","task.gen":"Generazione musicale","task.s2s":"Modifica del parlato","task.sep":"Separazione sorgenti","task.svc":"Conversione della voce cantata","task.tts":"Sintesi vocale","task.vad":"Attività vocale","task.vc":"Conversione vocale","task.vdes":"Progettazione voce","voice.bundledNote":"L'audio di riferimento incluso e la relativa trascrizione vengono forniti automaticamente.","voice.namePlaceholder":"La mia voce di riferimento","voice.recommendedClone":"consigliata per la clonazione","voice.recording":"Registrazione voce di riferimento","voice.requiredClone":"obbligatoria per questa clonazione vocale","voice.transcriptPlaceholder":"Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente."}},Eg={code:"pl",name:"Polski",translations:{"request.minimaxFrames":"{frames} wyrównanych klatek wyjściowych","param.minimax_h3.num_inference_steps.label":"Kroki odszumiania","param.minimax_h3.num_inference_steps.info":"Dwanaście kroków odszumiania zapewnia praktyczną równowagę jakości i wydajności.","param.minimax_h3.num_frames.label":"Klatki wyjściowe","param.minimax_h3.num_frames.info":"Obliczane z czasu trwania przy około 24 klatkach na sekundę wyjścia. Zmiana liczby klatek aktualizuje również czas trwania.","param.minimax_h3.guidance_scale.label":"Skala naprowadzania","param.minimax_h3.sampler.label":"Próbnik","param.minimax_h3.dit_acceleration.label":"Przyspieszenie DiT","param.minimax_h3.dit_acceleration.info":"None używa pełnej ścieżki DiT nastawionej na jakość. Tryby przyspieszone są eksperymentalne i mogą zniekształcać niektóre wyniki.","param.minimax_h3.return_video.label":"Dekoduj wideo","param.minimax_h3.return_video.info":"Domyślnie wyłączone, aby zmniejszyć zużycie pamięci i zwracać tylko dźwięk.","model.minimax_h3.hint":"MiniMax-H3 korzysta ze wspólnego DiT audio/wideo. GGUF Q4 stawia na jakość; dostępny tylko dla CUDA GGUF Q4 ConvRot używa nieco więcej VRAM, aby działać szybciej. Domyślna pełna ścieżka DiT nadaje priorytet jakości dźwięku, a dekodowanie wideo jest wyłączone.","status.modelReady":"{model} jest załadowany i gotowy.","status.runningTask":"Uruchamianie: {task}...","status.completeIn":"Ukończono w {seconds} s.","status.packageAvailable":"{model} użyje {format}. Model jest dostępny w Studio.","app.nativeStudio":"Studio natywne","nav.studio":"Studio","nav.models":"Modele","nav.runtime":"Środowisko","language.label":"Język interfejsu","workflow.tts":"Synteza mowy","workflow.asr":"ASR / Transkrypcja","workflow.music":"Generowanie muzyki","workflow.vc":"Konwersja głosu","workflow.sep":"Separacja źródeł","workflow.analysis":"Analiza dźwięku","workflow.design":"Projektowanie głosu","studio.eyebrow":"LOKALNA INTELIGENCJA AUDIO","studio.title":"Studio audio","studio.subtitle.tts":"Generuj naturalną mowę z tekstu, korzystając z gotowych głosów i klonowania, gdy model je obsługuje.","studio.subtitle.asr":"Transkrybuj mowę z nagrań na tekst, korzystając z ustawień języka i znaczników czasu, gdy są obsługiwane.","studio.subtitle.music":"Twórz muzykę i dźwięki na podstawie opisu, tekstu piosenki lub nagrania referencyjnego.","studio.subtitle.vc":"Przekształcaj nagranie w inny głos, zachowując sposób mówienia lub śpiewania.","studio.subtitle.sep":"Rozdzielaj nagranie na wokal, instrumenty lub inne dostępne ścieżki.","studio.subtitle.analysis":"Analizuj aktywność mowy, mówców, czas i wyrównanie nagrania.","studio.subtitle.design":"Twórz lub dopracowuj głos na podstawie opisu i obsługiwanych ustawień referencyjnych.","studio.model":"Model","studio.noModel":"Nie wybrano modelu","studio.resident":"Załadowany","studio.notInstalled":"Nie zainstalowano","studio.available":"Dostępny","studio.chooseInstalled":"Wybierz zainstalowany model","studio.notDownloaded":"nie pobrano","studio.pathFound":"Ścieżka znaleziona","studio.pathMissing":"Brak ścieżki","studio.pathUnknown":"Ścieżka niesprawdzona","studio.load":"Załaduj model","studio.unload":"Wyładuj model","studio.working":"Przetwarzanie…","studio.bundledLoaded":"Wbudowany · załadowany","request.label":"ŻĄDANIE","request.title":"Dane wejściowe i ustawienia","request.prompt":"Polecenie","request.text":"Tekst","request.splitLongText":"Dziel i łącz długi tekst","request.charactersPerChunk":"Znaki na fragment","request.language":"Język","request.autoLanguage":"puste = automatycznie","request.seed":"Ziarno","request.randomSeed":"-1 = losowe","request.maxTokens":"Maksymalna liczba tokenów","request.sourceAudio":"Dźwięk źródłowy","request.recordMicrophone":"Nagraj mikrofon","voice.quickStart":"Szybkie głosy demonstracyjne","voice.useReference":"Użyj pliku dźwiękowego poniżej","voice.reference":"Głos referencyjny","voice.required":"wymagany","voice.optional":"opcjonalny","voice.referenceText":"Tekst referencyjny","voice.transcript":"Transkrypcja referencyjna","voice.saved":"Zapisane głosy","voice.browserOnly":"tylko w tej przeglądarce","voice.chooseSaved":"Wybierz zapisany głos...","voice.libraryName":"Nazwa w bibliotece","voice.save":"Zapisz głos","common.delete":"Usuń","common.cancel":"Anuluj","common.close":"Zamknij","common.refresh":"Odśwież","common.browse":"Przeglądaj","common.apply":"Zastosuj","options.modelParameters":"Parametry modelu","options.additional":"Dodatkowe opcje","run.run":"Uruchom","run.cancel":"Anuluj","run.working":"Przetwarzanie…","result.title":"Wynik","result.label":"WYNIK","result.saveWav":"Zapisz WAV","result.empty":"W tym miejscu pojawi się wygenerowany dźwięk i wyniki strukturalne.","models.eyebrow":"BIBLIOTEKA MODELI","models.title":"Pakiety lokalne","models.subtitle":"Pobieraj i zarządzaj pakietami modeli bez opuszczania interfejsu.","models.folder":"Folder modeli","models.useDefault":"Użyj domyślnego","models.showTypes":"Pokaż typy modeli","models.stopDownload":"Zatrzymaj pobieranie","models.cleanPartial":"Usuń częściowe pobieranie","runtime.title":"Dziennik sesji","runtime.status":"Stan","runtime.backend":"Backend","runtime.registered":"Zarejestrowane","runtime.resident":"Załadowane","runtime.noEvents":"Brak zdarzeń.","folder.title":"Wybierz folder","folder.up":"Poziom wyżej","folder.select":"Wybierz ten folder","common.applying":"Stosowanie…","common.disabled":"Wyłączone","common.enabled":"Włączone","file.choose":"Wybierz plik","file.none":"Nie wybrano pliku","folder.closeLabel":"Zamknij przeglądarkę folderów","folder.empty":"Ten folder nie zawiera podfolderów.","folder.eyebrow":"FOLDER MODELI","folder.loading":"Ładowanie...","folder.loadingFolders":"Ładowanie folderów...","footer.embedded":"SvelteKit · wbudowany w audiocpp_server","models.checkingSize":"sprawdzanie rozmiaru…","models.default":"Domyślnie","models.downloaded":"Pobrano","models.folderHint":"pobieranie, wykrywanie lokalne i ładowanie modeli","models.folderPlaceholder":"folder models obok audiocpp_server","models.hfAccess":"Wymagany dostęp do HF","models.model":"model","models.queued":"w kolejce","models.reinstall":"Zainstaluj ponownie","models.selected":"Wybrano","models.sharedPackage":"Używa wspólnego pakietu {name} pokazanego powyżej.","models.sizeUnavailable":"rozmiar niedostępny","models.stopping":"zatrzymywanie","models.update":"Aktualizuj","models.updateAvailable":"Dostępna aktualizacja","models.upToDate":"Aktualny","models.variants":"warianty","models.versionUnknown":"Nieznana wersja","nav.primary":"Główna nawigacja","nav.workflows":"Przepływy pracy audio","request.alignmentText":"Tekst do wyrównania","request.context":"Kontekst","request.contextHint":"opcjonalna terminologia lub nazwy","request.duration":"Czas trwania w sekundach","request.liveDescription":"Przetwarza kolejne czterosekundowe żądania w trybie strumieniowym modelu.","request.liveTitle":"Transkrypcja mikrofonu na żywo","request.lyrics":"Tekst utworu","request.optional":"opcjonalne","request.recordingMicrophone":"Nagrywanie mikrofonu","request.soundPlaceholder":"Opisz dźwięk lub muzykę…","request.startLive":"Uruchom na żywo","request.stopLive":"Zatrzymaj na żywo","request.stopRecording":"Zatrzymaj nagrywanie","request.textPlaceholder":"Wprowadź tekst…","request.voiceDescription":"Opis głosu","request.voiceDescriptionPlaceholder":"Ciepły, spokojny głos o umiarkowanym tempie…","result.track":"ścieżka","result.tracks":"ścieżki","runtime.eyebrow":"ŚRODOWISKO","runtime.subtitle":"Zdarzenia cyklu życia i żądań po stronie przeglądarki.","status.ready":"Gotowe","studio.estimatedVram":"Szacowane VRAM: {value} GB","studio.vram":"VRAM —","task.align":"Wymuszone wyrównanie","task.asr":"Transkrypcja","task.clon":"Klonowanie głosu","task.diar":"Diarizacja mówców","task.gen":"Generowanie muzyki","task.s2s":"Edycja mowy","task.sep":"Separacja źródeł","task.svc":"Konwersja głosu śpiewanego","task.tts":"Synteza mowy","task.vad":"Aktywność głosowa","task.vc":"Konwersja głosu","task.vdes":"Projektowanie głosu","voice.bundledNote":"Dołączone audio referencyjne i jego transkrypcja zostaną użyte automatycznie.","voice.namePlaceholder":"Mój głos referencyjny","voice.recommendedClone":"zalecana do klonowania","voice.recording":"Nagrywanie głosu referencyjnego","voice.requiredClone":"wymagana dla tego klonowania głosu","voice.transcriptPlaceholder":"Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej."}},Bg={code:"ru",name:"Русский",translations:{"request.minimaxFrames":"{frames} выровненных выходных кадров","param.minimax_h3.num_inference_steps.label":"Шаги шумоподавления","param.minimax_h3.num_inference_steps.info":"Двенадцать шагов обеспечивают практичный баланс качества и производительности.","param.minimax_h3.num_frames.label":"Выходные кадры","param.minimax_h3.num_frames.info":"Рассчитываются из длительности примерно по 24 кадра на секунду вывода. Изменение числа кадров также обновляет длительность.","param.minimax_h3.guidance_scale.label":"Масштаб управления","param.minimax_h3.sampler.label":"Сэмплер","param.minimax_h3.dit_acceleration.label":"Ускорение DiT","param.minimax_h3.dit_acceleration.info":"None использует полный DiT с приоритетом качества. Режимы ускорения экспериментальны и могут искажать некоторые результаты.","param.minimax_h3.return_video.label":"Декодировать видео","param.minimax_h3.return_video.info":"По умолчанию выключено для снижения расхода памяти и возврата только аудио.","model.minimax_h3.hint":"MiniMax-H3 использует совместный аудио/видео DiT. GGUF Q4 ориентирован на качество; доступный только в CUDA GGUF Q4 ConvRot использует немного больше VRAM ради скорости. Полный DiT по умолчанию отдаёт приоритет качеству звука, а декодирование видео отключено.","status.modelReady":"{model} загружен и готов.","status.runningTask":"Выполняется: {task}...","status.completeIn":"Завершено за {seconds} с.","status.packageAvailable":"{model} будет использовать {format}. Модель доступна в Studio.","app.nativeStudio":"Нативная студия","nav.studio":"Студия","nav.models":"Модели","nav.runtime":"Среда","language.label":"Язык интерфейса","workflow.tts":"Синтез речи","workflow.asr":"ASR / Распознавание","workflow.music":"Генерация музыки","workflow.vc":"Преобразование голоса","workflow.sep":"Разделение источников","workflow.analysis":"Анализ аудио","workflow.design":"Дизайн голоса","studio.eyebrow":"ЛОКАЛЬНЫЙ АУДИО ИНТЕЛЛЕКТ","studio.title":"Аудиостудия","studio.subtitle.tts":"Создавайте естественную речь из текста с готовыми голосами и клонированием, если они поддерживаются.","studio.subtitle.asr":"Преобразуйте речь из аудио в текст с настройками языка и временных меток, если они поддерживаются.","studio.subtitle.music":"Создавайте музыку и звуки по описанию, тексту песни или эталонному аудио.","studio.subtitle.vc":"Преобразуйте запись в другой голос, сохраняя манеру речи или пения.","studio.subtitle.sep":"Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.","studio.subtitle.analysis":"Анализируйте речевую активность, говорящих, время и выравнивание аудио.","studio.subtitle.design":"Создавайте и настраивайте голос по текстовому описанию и поддерживаемым эталонным параметрам.","studio.model":"Модель","studio.noModel":"Модель не выбрана","studio.resident":"Загружена","studio.notInstalled":"Не установлена","studio.available":"Доступна","studio.chooseInstalled":"Выберите установленную модель","studio.notDownloaded":"не скачана","studio.pathFound":"Путь найден","studio.pathMissing":"Путь отсутствует","studio.pathUnknown":"Путь не проверен","studio.load":"Загрузить модель","studio.unload":"Выгрузить модель","studio.working":"Обработка…","studio.bundledLoaded":"Встроена · загружена","request.label":"ЗАПРОС","request.title":"Ввод и управление","request.prompt":"Запрос","request.text":"Текст","request.splitLongText":"Разделять и объединять длинный текст","request.charactersPerChunk":"Символов в части","request.language":"Язык","request.autoLanguage":"пусто = автоматически","request.seed":"Seed","request.randomSeed":"-1 = случайно","request.maxTokens":"Максимум токенов","request.sourceAudio":"Исходное аудио","request.recordMicrophone":"Записать микрофон","voice.quickStart":"Демонстрационные голоса","voice.useReference":"Использовать файл эталонного аудио ниже","voice.reference":"Эталонный голос","voice.required":"обязательно","voice.optional":"необязательно","voice.referenceText":"Эталонный текст","voice.transcript":"Эталонная расшифровка","voice.saved":"Сохранённые голоса","voice.browserOnly":"только в этом браузере","voice.chooseSaved":"Выберите сохранённый голос...","voice.libraryName":"Имя в библиотеке","voice.save":"Сохранить голос","common.delete":"Удалить","common.cancel":"Отмена","common.close":"Закрыть","common.refresh":"Обновить","common.browse":"Обзор","common.apply":"Применить","options.modelParameters":"Параметры модели","options.additional":"Дополнительные параметры","run.run":"Запустить","run.cancel":"Отмена","run.working":"Обработка…","result.title":"Результат","result.label":"РЕЗУЛЬТАТ","result.saveWav":"Сохранить WAV","result.empty":"Здесь появятся созданное аудио и структурированные результаты.","models.eyebrow":"БИБЛИОТЕКА МОДЕЛЕЙ","models.title":"Локальные пакеты","models.subtitle":"Скачивайте пакеты моделей и управляйте ими прямо в интерфейсе.","models.folder":"Папка моделей","models.useDefault":"По умолчанию","models.showTypes":"Типы моделей","models.stopDownload":"Остановить загрузку","models.cleanPartial":"Удалить частичную загрузку","runtime.title":"Журнал сеанса","runtime.status":"Состояние","runtime.backend":"Backend","runtime.registered":"Зарегистрировано","runtime.resident":"Загружено","runtime.noEvents":"Событий пока нет.","folder.title":"Выберите папку","folder.up":"На уровень выше","folder.select":"Выбрать эту папку","common.applying":"Применение…","common.disabled":"Выключено","common.enabled":"Включено","file.choose":"Выбрать файл","file.none":"Файл не выбран","folder.closeLabel":"Закрыть выбор папки","folder.empty":"В этой папке нет вложенных папок.","folder.eyebrow":"ПАПКА МОДЕЛЕЙ","folder.loading":"Загрузка...","folder.loadingFolders":"Загрузка папок...","footer.embedded":"SvelteKit · встроен в audiocpp_server","models.checkingSize":"проверка размера…","models.default":"По умолчанию","models.downloaded":"Скачано","models.folderHint":"загрузка, локальное обнаружение и загрузка моделей","models.folderPlaceholder":"папка models рядом с audiocpp_server","models.hfAccess":"Требуется доступ HF","models.model":"модель","models.queued":"в очереди","models.reinstall":"Переустановить","models.selected":"Выбрано","models.sharedPackage":"Использует общий пакет {name}, показанный выше.","models.sizeUnavailable":"размер недоступен","models.stopping":"остановка","models.update":"Обновить","models.updateAvailable":"Доступно обновление","models.upToDate":"Актуально","models.variants":"варианты","models.versionUnknown":"Версия неизвестна","nav.primary":"Основная навигация","nav.workflows":"Рабочие процессы аудио","request.alignmentText":"Текст для выравнивания","request.context":"Контекстный запрос","request.contextHint":"необязательные термины или имена","request.duration":"Длительность в секундах","request.liveDescription":"Обрабатывает последовательные четырёхсекундные запросы в потоковом режиме модели.","request.liveTitle":"Распознавание с микрофона в реальном времени","request.lyrics":"Текст песни","request.optional":"необязательно","request.recordingMicrophone":"Запись микрофона","request.soundPlaceholder":"Опишите звук или музыку…","request.startLive":"Запустить","request.stopLive":"Остановить","request.stopRecording":"Остановить запись","request.textPlaceholder":"Введите текст…","request.voiceDescription":"Описание голоса","request.voiceDescriptionPlaceholder":"Тёплый спокойный голос с размеренным темпом…","result.track":"дорожка","result.tracks":"дорожки","runtime.eyebrow":"СРЕДА","runtime.subtitle":"События жизненного цикла и запросов в браузере.","status.ready":"Готово","studio.estimatedVram":"Оценка VRAM: {value} ГБ","studio.vram":"VRAM —","task.align":"Принудительное выравнивание","task.asr":"Распознавание речи","task.clon":"Клонирование голоса","task.diar":"Диаризация говорящих","task.gen":"Генерация музыки","task.s2s":"Редактирование речи","task.sep":"Разделение источников","task.svc":"Преобразование вокала","task.tts":"Синтез речи","task.vad":"Голосовая активность","task.vc":"Преобразование голоса","task.vdes":"Дизайн голоса","voice.bundledNote":"Встроенное эталонное аудио и соответствующая расшифровка подставляются автоматически.","voice.namePlaceholder":"Мой эталонный голос","voice.recommendedClone":"рекомендуется для клонирования","voice.recording":"Запись эталонного голоса","voice.requiredClone":"требуется для этого клонирования","voice.transcriptPlaceholder":"Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше."}},Dg={code:"zh",name:"中文",translations:{"request.minimaxFrames":"{frames} 个对齐输出帧","param.minimax_h3.num_inference_steps.label":"去噪步数","param.minimax_h3.num_inference_steps.info":"十二个去噪步骤可在质量和性能之间取得实用的平衡。","param.minimax_h3.num_frames.label":"输出帧数","param.minimax_h3.num_frames.info":"根据时长自动计算，每秒输出约 24 帧。编辑帧数也会更新时长。","param.minimax_h3.guidance_scale.label":"引导强度","param.minimax_h3.sampler.label":"采样器","param.minimax_h3.dit_acceleration.label":"DiT 加速","param.minimax_h3.dit_acceleration.info":"“none”使用质量优先的完整 DiT 路径。加速模式为实验性功能，可能使某些输出失真。","param.minimax_h3.return_video.label":"解码视频","param.minimax_h3.return_video.info":"默认禁用以减少内存占用，并仅返回音频。","model.minimax_h3.hint":"MiniMax-H3 使用联合音频/视频 DiT。GGUF Q4 是质量优先版本；仅支持 CUDA 的 GGUF Q4 ConvRot 使用稍多显存以提高速度。默认完整 DiT 路径优先保证音频质量，并禁用视频解码。","status.modelReady":"{model} 已加载并准备就绪。","status.runningTask":"正在运行{task}...","status.completeIn":"已在 {seconds} 秒内完成。","status.packageAvailable":"{model} 将使用 {format}，现可在工作室中使用。","app.nativeStudio":"原生工作室","nav.studio":"工作室","nav.models":"模型","nav.runtime":"运行环境","language.label":"界面语言","workflow.tts":"文本转语音","workflow.asr":"ASR / 转录","workflow.music":"音乐生成","workflow.vc":"语音转换","workflow.sep":"音源分离","workflow.analysis":"音频分析","workflow.design":"音色设计","studio.eyebrow":"本地音频智能","studio.title":"音频工作室","studio.subtitle.tts":"从文本生成自然语音，并在模型支持时使用预设音色或声音克隆。","studio.subtitle.asr":"将语音音频转为文本，并在模型支持时设置语言和时间戳。","studio.subtitle.music":"根据描述、歌词或参考音频创作音乐和声音。","studio.subtitle.vc":"将录音转换为另一种声音，同时保留原有的说话或演唱表现。","studio.subtitle.sep":"将录音分离为人声、乐器或其他可用音轨。","studio.subtitle.analysis":"分析语音活动、说话人、时间信息和音频对齐。","studio.subtitle.design":"根据文字描述和支持的参考控制创建或调整声音。","studio.model":"模型","studio.noModel":"未选择模型","studio.resident":"已加载","studio.notInstalled":"未安装","studio.available":"可用","studio.chooseInstalled":"选择已安装的模型","studio.notDownloaded":"未下载","studio.pathFound":"已找到路径","studio.pathMissing":"路径不存在","studio.pathUnknown":"尚未检查路径","studio.load":"加载模型","studio.unload":"卸载模型","studio.working":"处理中…","studio.bundledLoaded":"内置 · 已加载","request.label":"请求","request.title":"输入与控制","request.prompt":"提示词","request.text":"文本","request.splitLongText":"拆分并合并长文本","request.charactersPerChunk":"每段字符数","request.language":"语言","request.autoLanguage":"留空 = 自动","request.seed":"随机种子","request.randomSeed":"-1 = 随机","request.maxTokens":"最大令牌数","request.sourceAudio":"源音频","request.recordMicrophone":"录制麦克风","voice.quickStart":"快速开始演示音色","voice.useReference":"使用下方参考音频文件","voice.reference":"参考音色","voice.required":"必需","voice.optional":"可选","voice.referenceText":"参考文本","voice.transcript":"参考转录","voice.saved":"已保存音色","voice.browserOnly":"仅存储在此浏览器中","voice.chooseSaved":"选择已保存音色...","voice.libraryName":"库名称","voice.save":"保存音色","common.delete":"删除","common.cancel":"取消","common.close":"关闭","common.refresh":"刷新","common.browse":"浏览","common.apply":"应用","options.modelParameters":"模型参数","options.additional":"其他选项","run.run":"运行","run.cancel":"取消","run.working":"处理中…","result.title":"输出","result.label":"结果","result.saveWav":"保存 WAV","result.empty":"生成的音频和结构化结果将显示在这里。","models.eyebrow":"模型库","models.title":"本地软件包","models.subtitle":"无需离开原生界面即可下载和管理模型包。","models.folder":"模型文件夹","models.useDefault":"使用默认值","models.showTypes":"显示模型类型","models.stopDownload":"停止下载","models.cleanPartial":"清理部分下载","runtime.title":"会话日志","runtime.status":"状态","runtime.backend":"后端","runtime.registered":"已注册","runtime.resident":"已加载","runtime.noEvents":"暂无事件。","folder.title":"选择文件夹","folder.up":"上一级","folder.select":"选择此文件夹","common.applying":"正在应用…","common.disabled":"已禁用","common.enabled":"已启用","file.choose":"选择文件","file.none":"未选择文件","folder.closeLabel":"关闭文件夹浏览器","folder.empty":"此文件夹没有子文件夹。","folder.eyebrow":"模型文件夹","folder.loading":"正在加载...","folder.loadingFolders":"正在加载文件夹...","footer.embedded":"SvelteKit · 内置于 audiocpp_server","models.checkingSize":"正在检查大小…","models.default":"默认","models.downloaded":"已下载","models.folderHint":"用于下载、本地检测和模型加载","models.folderPlaceholder":"audiocpp_server 旁的 models 文件夹","models.hfAccess":"需要 HF 访问权限","models.model":"模型","models.queued":"排队中","models.reinstall":"重新安装","models.selected":"已选择","models.sharedPackage":"使用上方显示的共享 {name} 软件包。","models.sizeUnavailable":"大小不可用","models.stopping":"正在停止","models.update":"更新","models.updateAvailable":"有可用更新","models.upToDate":"已是最新","models.variants":"变体","models.versionUnknown":"版本未知","nav.primary":"主导航","nav.workflows":"音频工作流程","request.alignmentText":"对齐文本","request.context":"上下文提示","request.contextHint":"可选术语或名称","request.duration":"持续时间（秒）","request.liveDescription":"使用模型的流式模式连续处理四秒请求。","request.liveTitle":"实时麦克风转录","request.lyrics":"歌词","request.optional":"可选","request.recordingMicrophone":"正在录制麦克风","request.soundPlaceholder":"描述声音或音乐…","request.startLive":"开始实时处理","request.stopLive":"停止实时处理","request.stopRecording":"停止录制","request.textPlaceholder":"输入文本…","request.voiceDescription":"音色描述","request.voiceDescriptionPlaceholder":"温暖、平静且语速适中的声音…","result.track":"音轨","result.tracks":"音轨","runtime.eyebrow":"运行环境","runtime.subtitle":"浏览器端生命周期和请求事件。","status.ready":"就绪","studio.estimatedVram":"预计 VRAM：{value} GB","studio.vram":"VRAM —","task.align":"强制对齐","task.asr":"语音转录","task.clon":"声音克隆","task.diar":"说话人分离","task.gen":"音乐生成","task.s2s":"语音编辑","task.sep":"音源分离","task.svc":"歌声音色转换","task.tts":"文本转语音","task.vad":"语音活动检测","task.vc":"语音转换","task.vdes":"音色设计","voice.bundledNote":"内置参考音频及其匹配转录将自动提供。","voice.namePlaceholder":"我的参考音色","voice.recommendedClone":"建议用于克隆","voice.recording":"正在录制参考音色","voice.requiredClone":"此声音克隆必需","voice.transcriptPlaceholder":"输入参考音频中的准确文字，或加载上方匹配的 .txt 文件。"}},Fl={"app.nativeStudio":"Native Studio","nav.studio":"Studio","nav.models":"Models","nav.runtime":"Runtime","nav.primary":"Primary navigation","nav.workflows":"Audio workflows","language.label":"Interface language","workflow.tts":"Text to speech","workflow.asr":"ASR / Transcription","workflow.music":"Music generation","workflow.vc":"Voice conversion","workflow.sep":"Source separation","workflow.analysis":"Audio analysis","workflow.design":"Voice design","task.tts":"Text to speech","task.clon":"Voice cloning","task.asr":"Transcription","task.gen":"Music generation","task.midi":"Audio to MIDI","task.vc":"Voice conversion","task.svc":"Singing voice conversion","task.s2s":"Speech editing","task.sep":"Source separation","task.vad":"Voice activity","task.diar":"Speaker diarization","task.align":"Forced alignment","task.vdes":"Voice design","studio.eyebrow":"LOCAL AUDIO INTELLIGENCE","studio.title":"Audio studio","studio.subtitle.tts":"Generate natural speech from text, with voice presets and cloning when supported.","studio.subtitle.asr":"Transcribe spoken audio into text, with language and timestamp controls when supported.","studio.subtitle.music":"Create music and sound from a prompt, lyrics, or reference audio when supported.","studio.subtitle.vc":"Transform a recording into another voice while preserving the spoken or sung performance.","studio.subtitle.sep":"Split a recording into vocals, instruments, or other available audio stems.","studio.subtitle.analysis":"Analyze audio for speech activity, speakers, timing, and alignment.","studio.subtitle.design":"Create or refine a voice from a written description and supported reference controls.","studio.model":"Model","studio.noModel":"No model selected","studio.resident":"Resident","studio.notInstalled":"Not installed","studio.available":"Available","studio.chooseInstalled":"Choose an installed model","studio.notDownloaded":"not downloaded","studio.pathFound":"Path found","studio.pathMissing":"Path missing","studio.pathUnknown":"Path not inspected","studio.estimatedVram":"{value} GB estimated VRAM","studio.vram":"VRAM —","studio.load":"Load model","studio.unload":"Unload model","studio.working":"Working…","studio.bundledLoaded":"Bundled · loaded","request.label":"REQUEST","request.title":"Input & controls","request.prompt":"Prompt","request.alignmentText":"Alignment text","request.text":"Text","request.soundPlaceholder":"Describe the sound or music…","request.textPlaceholder":"Enter the text…","request.splitLongText":"Split and merge long text","request.charactersPerChunk":"Characters per chunk","request.lyrics":"Lyrics","request.optional":"optional","request.context":"Context prompt","request.contextHint":"optional terminology or names","request.voiceDescription":"Voice description","request.voiceDescriptionPlaceholder":"A warm, calm voice with measured pacing…","request.language":"Language","request.autoLanguage":"blank = auto","request.seed":"Seed","request.randomSeed":"-1 = random","request.maxTokens":"Maximum tokens","request.duration":"Duration seconds","request.minimaxFrames":"{frames} aligned output frames","request.sourceAudio":"Source audio","request.stopRecording":"Stop recording","request.recordingMicrophone":"Recording microphone","request.recordMicrophone":"Record microphone","request.liveTitle":"Live microphone transcription","request.liveDescription":"Processes consecutive four-second requests using the model's streaming mode.","request.stopLive":"Stop live","request.startLive":"Start live","voice.quickStart":"Quick-start voice presets (demo voices)","voice.configured":"Configured voices","voice.useReference":"Use a reference audio file below","voice.bundledNote":"The bundled reference audio and its matching transcript are supplied automatically.","voice.reference":"Reference voice","voice.required":"required","voice.optional":"optional","voice.referenceText":"Reference text","voice.recording":"Recording voice reference","voice.transcript":"Reference transcript","voice.requiredClone":"required for this voice clone","voice.recommendedClone":"recommended for cloning","voice.transcriptPlaceholder":"Type the exact words spoken in the reference audio, or load a matching .txt file above.","voice.saved":"Saved voices","voice.browserOnly":"stored only in this browser","voice.chooseSaved":"Choose a saved voice...","voice.libraryName":"Library name","voice.namePlaceholder":"My reference voice","voice.save":"Save voice","common.delete":"Delete","common.enabled":"Enabled","common.disabled":"Disabled","common.cancel":"Cancel","common.close":"Close","common.refresh":"Refresh","common.browse":"Browse","common.apply":"Apply","common.applying":"Applying…","file.choose":"Choose file","file.none":"No file chosen","options.modelParameters":"Model parameters","options.additional":"Additional options","param.minimax_h3.num_inference_steps.label":"Denoising steps","param.minimax_h3.num_inference_steps.info":"Twelve denoising steps provide a practical quality and performance balance.","param.minimax_h3.num_frames.label":"Output frames","param.minimax_h3.num_frames.info":"Calculated from duration at approximately 24 frames per output second. Editing frames also updates duration.","param.minimax_h3.guidance_scale.label":"Guidance scale","param.minimax_h3.sampler.label":"Sampler","param.minimax_h3.dit_acceleration.label":"DiT acceleration","param.minimax_h3.dit_acceleration.info":"None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs.","param.minimax_h3.return_video.label":"Decode video","param.minimax_h3.return_video.info":"Disabled by default to reduce memory use and return audio only.","model.minimax_h3.hint":"MiniMax-H3 uses a joint audio/video DiT. GGUF Q4 is the quality-first choice; CUDA-only GGUF Q4 ConvRot uses slightly more VRAM for higher speed. The default full-DiT path prioritizes audio quality and video decoding is disabled.","run.run":"Run","run.cancel":"Cancel","run.working":"Working…","result.label":"RESULT","result.title":"Output","result.track":"track","result.tracks":"tracks","result.saveWav":"Save WAV","result.empty":"Generated audio and structured results appear here.","models.eyebrow":"MODEL LIBRARY","models.title":"Local packages","models.subtitle":"Download and manage model packages without leaving the native interface.","models.folder":"Models folder","models.folderHint":"downloads, local detection, and model loading","models.folderPlaceholder":"models folder beside audiocpp_server","models.default":"Default","models.useDefault":"Use default","models.showTypes":"Show model types","models.model":"model","models.variants":"variants","models.update":"Update","models.reinstall":"Reinstall","models.upToDate":"Up to date","models.updateAvailable":"Update available","models.versionUnknown":"Version unknown","models.selected":"Selected","models.downloaded":"Downloaded","models.queued":"queued","models.stopping":"stopping","models.checkingSize":"checking size…","models.hfAccess":"HF access required","models.sizeUnavailable":"size unavailable","models.stopDownload":"Stop download","models.cleanPartial":"Clean partial download","models.sharedPackage":"Uses the shared {name} package shown above.","runtime.eyebrow":"RUNTIME","runtime.title":"Session log","runtime.subtitle":"Browser-side lifecycle and request events.","runtime.status":"Status","runtime.backend":"Backend","runtime.registered":"Registered","runtime.resident":"Resident","runtime.noEvents":"No events yet.","status.ready":"Ready","status.modelReady":"{model} is resident and ready.","status.runningTask":"Running {task}...","status.completeIn":"Complete in {seconds}s.","status.packageAvailable":"{model} will use {format}. It is available in Studio.","folder.eyebrow":"MODELS FOLDER","folder.title":"Choose a folder","folder.closeLabel":"Close folder browser","folder.loading":"Loading...","folder.up":"Up one level","folder.loadingFolders":"Loading folders...","folder.empty":"This folder has no subfolders.","folder.select":"Select this folder","footer.embedded":"SvelteKit · embedded in audiocpp_server"},Vg=Object.assign({"../../lang/lang_it.json":Rg,"../../lang/lang_pl.json":Eg,"../../lang/lang_ru.json":Bg,"../../lang/lang_zh.json":Dg}),Ja=new Map([["en",Fl]]),gu=[{code:"en",name:"English"}];for(const[t,i]of Object.entries(Vg).sort(([o],[n])=>o.localeCompare(n))){const o=t.match(/lang_([^/\\.]+)\.json$/)?.[1]?.toLowerCase(),n=(i.code||o||"").trim().toLowerCase();!n||n==="en"||!i.name||!i.translations||(Ja.set(n,i.translations),gu.push({code:n,name:i.name}))}const Ig=gu;function hu(t){const i=Ja.get(t)||Fl;return(o,n={},s=o)=>{let a=i[o]||Fl[o]||s;for(const[l,d]of Object.entries(n))a=a.replaceAll(`{${l}}`,String(d));return a}}function vu(t){for(const i of t){const o=i.toLowerCase();if(Ja.has(o))return o;const n=o.split("-")[0];if(Ja.has(n))return n}return"en"}const Pg=/^\s*(Speaker\s+\d+\s*:)\s*(.*)$/i,Lg=/[^。！？!?；;…]*[。！？!?；;…]+|[^。！？!?；;…]+$/g;function Og(t,i){const o=Pg.exec(t),n=o?`${o[1]} `:"",s=o?o[2]:t.trim(),a=s.match(Lg)||[s],l=[];let d="";for(const m of a){if(d&&d.length+m.length>i&&(l.push(n+d),d=""),m.length<=i){d+=m;continue}d&&(l.push(n+d),d="");for(let h=0;h<m.length;h+=i)l.push(n+m.slice(h,h+i))}return d&&l.push(n+d),l.length?l:[t]}function Ng(t,i){const o=[];for(const l of t.split(/\r?\n/))l.trim()&&o.push(...l.length>i?Og(l,i):[l]);const n=[];let s=[],a=0;for(const l of o){const d=s.length?1:0;s.length&&a+d+l.length>i&&(n.push(s.join(`
+\r\f \v\uFEFF`];function Xm(t,i,o){var n=t==null?"":""+t;if(i&&(n=n?n+" "+i:i),o){for(var s of Object.keys(o))if(o[s])n=n?n+" "+s:s;else if(n.length)for(var a=s.length,l=0;(l=n.indexOf(s,l))>=0;){var d=l+a;(l===0||bc.includes(n[l-1]))&&(d===n.length||bc.includes(n[d]))?n=(l===0?"":n.substring(0,l))+n.substring(d+1):l=d}}return n===""?null:n}function Zm(t,i){return t==null?null:String(t)}function yt(t,i,o,n,s,a){var l=t[kr];if(ae||l!==o||l===void 0){var d=Xm(o,n,a);(!ae||d!==t.getAttribute("class"))&&(d==null?t.removeAttribute("class"):t.className=d),t[kr]=o}else if(a&&s!==a)for(var m in a){var h=!!a[m];(s==null||h!==!!s[m])&&t.classList.toggle(m,h)}return a}function kc(t,i,o,n){var s=t[wr];if(ae||s!==i){var a=Zm(i);(!ae||a!==t.getAttribute("style"))&&(a==null?t.removeAttribute("style"):t.style.cssText=a),t[wr]=i}return n}function Ln(t,i,o=!1){if(t.multiple){if(i==null)return;if(!gr(i))return am();for(var n of t.options)n.selected=i.includes(Ts(n));return}for(n of t.options){var s=Ts(n);if(Sm(s,i)){n.selected=!0;return}}(!o||i!==void 0)&&(t.selectedIndex=-1)}function Gs(t){var i=new MutationObserver(()=>{"__value"in t&&Ln(t,t.__value)});i.observe(t,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["value"]}),Pr(()=>{i.disconnect()})}function Ym(t,i,o=i){var n=new WeakSet,s=!0;jr(t,"change",a=>{var l=a?"[selected]":":checked",d;if(t.multiple)d=[].map.call(t.querySelectorAll(l),Ts);else{var m=t.querySelector(l)??t.querySelector("option:not([disabled])");d=m&&Ts(m)}o(d),t.__value=d,re!==null&&n.add(re)}),Lr(()=>{var a=i();if(t===document.activeElement){var l=re;if(n.has(l))return}if(Ln(t,a,s),s&&a===void 0){var d=t.querySelector(":checked");d!==null&&(a=Ts(d),o(a))}t.__value=a,s=!1}),Gs(t)}function Ts(t){return"__value"in t?t.__value:t.value}const ep=Symbol("is custom element"),tp=Symbol("is html"),ip=xd?"link":"LINK",op=xd?"progress":"PROGRESS";function ui(t){if(ae){var i=!1,o=()=>{if(!i){if(i=!0,t.hasAttribute("value")){var n=t.value;X(t,"value",null),t.value=n}if(t.hasAttribute("checked")){var s=t.checked;X(t,"checked",null),t.checked=s}}};t[ps]=o,Ii(o),Cd()}}function za(t,i){var o=Zr(t);o.value===(o.value=i??void 0)||t.value===i&&(i!==0||t.nodeName!==op)||(t.value=i??"")}function wc(t,i){var o=Zr(t);o.checked!==(o.checked=i??void 0)&&(t.checked=i)}function X(t,i,o,n){var s=Zr(t);ae&&(s[i]=t.getAttribute(i),i==="src"||i==="srcset"||i==="href"&&t.nodeName===ip)||s[i]!==(s[i]=o)&&(i==="loading"&&(t[Af]=o),o==null?t.removeAttribute(i):typeof o!="string"&&np(t).includes(i)?t[i]=o:t.setAttribute(i,o))}function Zr(t){return t[wd]??={[ep]:t.nodeName.includes("-"),[tp]:t.namespaceURI===nm}}var xc=new Map;function np(t){var i=t.getAttribute("is")||t.nodeName,o=xc.get(i);if(o)return o;xc.set(i,o=[]);for(var n,s=t,a=Element.prototype;a!==s;){n=_d(s);for(var l in n)n[l].set&&l!=="innerHTML"&&l!=="textContent"&&l!=="innerText"&&o.push(l);s=hr(s)}return o}function fi(t,i,o=i){var n=new WeakSet;jr(t,"input",async s=>{var a=s?t.defaultValue:t.value;if(a=Yr(t)?el(a):a,o(a),re!==null&&n.add(re),await In(),a!==(a=i())){var l=t.selectionStart,d=t.selectionEnd,m=t.value.length;if(t.value=a??"",d!==null){var h=t.value.length;l===d&&d===m&&h>m?(t.selectionStart=h,t.selectionEnd=h):(t.selectionStart=l,t.selectionEnd=Math.min(d,h))}}}),(ae&&t.defaultValue!==t.value||p(i)==null&&t.value)&&(o(Yr(t)?el(t.value):t.value),re!==null&&n.add(re)),Bn(()=>{var s=i();if(t===document.activeElement){var a=re;if(n.has(a))return}Yr(t)&&s===el(t.value)||t.type==="date"&&!s&&!t.value||s!==t.value&&(t.value=s??"")})}function sp(t,i,o=i){jr(t,"change",n=>{var s=n?t.defaultChecked:t.checked;o(s)}),(ae&&t.defaultChecked!==t.checked||p(i)==null)&&o(t.checked),Bn(()=>{var n=i();t.checked=!!n})}function Yr(t){var i=t.type;return i==="number"||i==="range"}function el(t){return t===""?null:+t}function tl(t,i){return t===i||t?.[Yi]===i}function qs(t={},i,o,n){var s=Me.r,a=de;return Lr(()=>{var l,d;return Bn(()=>{l=d,d=[],p(()=>{tl(o(...d),t)||(i(t,...d),l&&tl(o(...l),t)&&i(null,...l))})}),()=>{let m=a;for(;m!==s&&m.parent!==null&&m.parent.f&br;)m=m.parent;const h=()=>{d&&tl(o(...d),t)&&i(null,...d)},w=m.teardown;m.teardown=()=>{h(),w?.()}}}),t}function ap(t=!1){const i=Me,o=i.l.u;if(!o)return;let n=()=>Ke(i.s);if(t){let s=0,a={};const l=Mn(()=>{let d=!1;const m=i.s;for(const h in m)m[h]!==a[h]&&(a[h]=m[h],d=!0);return d&&s++,s});n=()=>e(l)}o.b.length&&tc(()=>{$c(i,n),vr(o.b)}),Ga(()=>{const s=p(()=>o.m.map(Uf));return()=>{for(const a of s)typeof a=="function"&&a()}}),o.a.length&&Ga(()=>{$c(i,n),vr(o.a)})}function $c(t,i){if(t.l.s)for(const o of t.l.s)e(o);i()}function il(t,i,o,n){var s=!Fn||(o&Zf)!==0,a=(o&em)!==0,l=(o&tm)!==0,d=n,m=!0,h=void 0,w=()=>l&&s?(h??=Mn(n),e(h)):(m&&(m=!1,d=l?p(n):n),d);let S;if(a){var T=Yi in t||kd in t;S=xn(t,i)?.set??(T&&i in t?B=>t[i]=B:void 0)}var G,F=!1;a?[G,F]=fm(()=>t[i]):G=t[i],G===void 0&&n!==void 0&&(G=w(),S&&(s&&Pf(),S(G)));var U;if(s?U=()=>{var B=t[i];return B===void 0?w():(m=!0,B)}:U=()=>{var B=t[i];return B!==void 0&&(d=void 0),B===void 0?d:B},s&&(o&Yf)===0)return U;if(S){var j=t.$$legacy;return(function(B,R){return arguments.length>0?((!s||!R||j||F)&&S(R?U():B),B):U()})}var x=!1,y=((o&Xf)!==0?Mn:eo)(()=>(x=!1,U()));a&&e(y);var I=de;return(function(B,R){if(arguments.length>0){const ce=R?e(y):s&&a?En(B):B;return f(y,ce),x=!0,d!==void 0&&(d=ce),B}return so&&x||(I.f&Wt)!==0?y.v:e(y)})}function rp(t){return class extends lp{constructor(i){super({component:t,...i})}}}class lp{#e;#t;constructor(i){var o=new Map,n=(a,l)=>{var d=C(l,!1,!1);return o.set(a,d),d};const s=new Proxy({...i.props||{},$$events:{}},{get(a,l){return e(o.get(l)??n(l,Reflect.get(a,l)))},has(a,l){return l===kd?!0:(e(o.get(l)??n(l,Reflect.get(a,l))),Reflect.has(a,l))},set(a,l,d){return f(o.get(l)??n(l,d),d),Reflect.set(a,l,d)}});this.#t=(i.hydrate?Om:hc)(i.component,{target:i.target,anchor:i.anchor,props:s,context:i.context,intro:i.intro??!1,recover:i.recover,transformError:i.transformError}),(!i?.props?.$$host||i.sync===!1)&&Vd(),this.#e=s.$$events;for(const a of Object.keys(this.#t))a==="$set"||a==="$destroy"||a==="$on"||pd(this,a,{get(){return this.#t[a]},set(l){this.#t[a]=l},enumerable:!0});this.#t.$set=a=>{Object.assign(s,a)},this.#t.$destroy=()=>{Nm(this.#t)}}$set(i){this.#t.$set(i)}$on(i,o){this.#e[i]=this.#e[i]||[];const n=(...s)=>o.call(this,...s);return this.#e[i].push(n),()=>{this.#e[i]=this.#e[i].filter(s=>s!==n)}}$destroy(){this.#t.$destroy()}}function Fs(t){Me===null&&$d(),Fn&&Me.l!==null?cp(Me).m.push(t):Ga(()=>{const i=p(t);if(typeof i=="function")return i})}function dp(t){Me===null&&$d(),Fs(()=>()=>p(t))}function cp(t){var i=t.l;return i.u??={a:[],b:[],m:[]}}class ol{constructor(i,o){this.status=i,typeof o=="string"?this.body={message:o}:o?this.body=o:this.body={message:`Error: ${i}`}}toString(){return JSON.stringify(this.body)}}class nl{constructor(i,o){try{new Headers({location:o})}catch{throw new Error(`Invalid redirect location ${JSON.stringify(o)}: this string contains characters that cannot be used in HTTP headers`)}this.status=i,this.location=o}}class sl extends Error{constructor(i,o,n){super(n),this.status=i,this.text=o}}new URL("sveltekit-internal://");function up(t,i){return t==="/"||i==="ignore"?t:i==="never"?t.endsWith("/")?t.slice(0,-1):t:i==="always"&&!t.endsWith("/")?t+"/":t}function fp(t){return t.split("%25").map(decodeURI).join("%25")}function mp(t){for(const i in t)t[i]=decodeURIComponent(t[i]);return t}function al({href:t}){return t.split("#")[0]}function qo(){}function pp(...t){let i=5381;for(const o of t)if(typeof o=="string"){let n=o.length;for(;n;)i=i*33^o.charCodeAt(--n)}else if(ArrayBuffer.isView(o)){const n=new Uint8Array(o.buffer,o.byteOffset,o.byteLength);let s=n.length;for(;s;)i=i*33^n[--s]}else throw new TypeError("value must be a string or TypedArray");return(i>>>0).toString(36)}new TextEncoder;function _p(t){const i=atob(t),o=new Uint8Array(i.length);for(let n=0;n<i.length;n++)o[n]=i.charCodeAt(n);return o}const gp=window.fetch;window.fetch=(t,i)=>((t instanceof Request?t.method:i?.method||"GET")!=="GET"&&js.delete(rl(t)),gp(t,i));const js=new Map;function hp(t,i){const o=rl(t,i),n=document.querySelector(o);if(n?.textContent){n.remove();let{body:s,...a}=JSON.parse(n.textContent);n.getAttribute("data-b64")!==null&&(s=_p(s));const d=n.getAttribute("data-ttl");return d&&js.set(o,{body:s,init:a,ttl:1e3*Number(d)}),Promise.resolve(new Response(s,a))}return window.fetch(t,i)}function vp(t,i,o){if(js.size>0){const n=rl(t,o),s=js.get(n);if(s){if(performance.now()<s.ttl&&["default","force-cache","only-if-cached",void 0].includes(o?.cache))return new Response(s.body,s.init);js.delete(n)}}return window.fetch(i,o)}function rl(t,i){let n=`script[data-sveltekit-fetched][data-url=${JSON.stringify(t instanceof Request?t.url:t)}]`;if(i?.headers||i?.body){const s=[];i.headers&&s.push([...new Headers(i.headers)].join(",")),i.body&&(typeof i.body=="string"||ArrayBuffer.isView(i.body))&&s.push(i.body),n+=`[data-hash="${pp(...s)}"]`}return n}const yp=/^(\[)?(\.\.\.)?(\w+)(?:=(\w+))?(\])?$/,bp=/^\/\((?:[^)]+)\)$/;function kp(t){const i=[];return{pattern:t==="/"||bp.test(t)?/^\/$/:new RegExp(`^${xp(t).map(n=>{const s=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(n);if(s)return i.push({name:s[1],matcher:s[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const a=/^\[\[(\w+)(?:=(\w+))?\]\]$/.exec(n);if(a)return i.push({name:a[1],matcher:a[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!n)return;const l=n.split(/\[(.+?)\](?!\])/);return"/"+l.map((m,h)=>{if(h%2){if(m.startsWith("x+"))return ll(String.fromCharCode(parseInt(m.slice(2),16)));if(m.startsWith("u+"))return ll(String.fromCharCode(...m.slice(2).split("-").map(U=>parseInt(U,16))));const w=yp.exec(m),[,S,T,G,F]=w;return i.push({name:G,matcher:F,optional:!!S,rest:!!T,chained:T?h===1&&l[0]==="":!1}),T?"([^]*?)":S?"([^/]*)?":"([^/]+?)"}return ll(m)}).join("")}).join("")}/?$`),params:i}}function wp(t){return t!==""&&!/^\([^)]+\)$/.test(t)}function xp(t){return t.slice(1).split("/").filter(wp)}function $p(t,i,o){const n={},s=t.slice(1),a=s.filter(d=>d!==void 0);let l=0;for(let d=0;d<i.length;d+=1){const m=i[d];let h=s[d-l];if(m.chained&&m.rest&&l&&(h=s.slice(d-l,d+1).filter(w=>w).join("/"),l=0),h===void 0)if(m.rest)h="";else continue;if(!m.matcher||o[m.matcher](h)){n[m.name]=h;const w=i[d+1],S=s[d+1];w&&!w.rest&&w.optional&&S&&m.chained&&(l=0),!w&&!S&&Object.keys(n).length===a.length&&(l=0);continue}if(m.optional&&m.chained){l++;continue}return}if(!l)return n}function ll(t){return t.normalize().replace(/[[\]]/g,"\\$&").replace(/%/g,"%25").replace(/\//g,"%2[Ff]").replace(/\?/g,"%3[Ff]").replace(/#/g,"%23").replace(/[.*+?^${}()|\\]/g,"\\$&")}function Sp({nodes:t,server_loads:i,dictionary:o,matchers:n}){const s=new Set(i);return Object.entries(o).map(([d,[m,h,w]])=>{const{pattern:S,params:T}=kp(d),G={id:d,exec:F=>{const U=S.exec(F);if(U)return $p(U,T,n)},errors:[1,...w||[]].map(F=>t[F]),layouts:[0,...h||[]].map(l),leaf:a(m)};return G.errors.length=G.layouts.length=Math.max(G.errors.length,G.layouts.length),G});function a(d){const m=d<0;return m&&(d=~d),[m,t[d]]}function l(d){return d===void 0?d:[s.has(d),t[d]]}}function Sc(t,i=JSON.parse){try{return i(sessionStorage[t])}catch{}}function Gc(t,i,o=JSON.stringify){const n=o(i);try{sessionStorage[t]=n}catch{}}const mi=globalThis.__sveltekit_1so0o7x?.base??"",Gp=globalThis.__sveltekit_1so0o7x?.assets??mi??"",Tp="1786919015036",Tc="sveltekit:snapshot",qc="sveltekit:scroll",Fc="sveltekit:states",qp="sveltekit:pageurl",On="sveltekit:history",zs="sveltekit:navigation",Zo={tap:1,hover:2,viewport:3,eager:4,off:-1,false:-1},dl=location.origin;function jc(t){if(t instanceof URL)return t;let i=document.baseURI;if(!i){const o=document.getElementsByTagName("base");i=o.length?o[0].href:document.URL}return new URL(t,i)}function Yo(){return{x:pageXOffset,y:pageYOffset}}function Nn(t,i){return t.getAttribute(`data-sveltekit-${i}`)}const zc={...Zo,"":Zo.hover};function Uc(t){let i=t.assignedSlot??t.parentNode;return i?.nodeType===11&&(i=i.host),i}function Mc(t,i){for(;t&&t!==i;){if(t.nodeName.toUpperCase()==="A"&&t.hasAttribute("href"))return t;t=Uc(t)}}function cl(t,i,o){let n;try{if(n=new URL(t instanceof SVGAElement?t.href.baseVal:t.href,document.baseURI),o&&n.hash.match(/^#[^/]/)){const d=location.hash.split("#")[1]||"/";n.hash=`#${d}${n.hash}`}}catch{}const s=t instanceof SVGAElement?t.target.baseVal:t.target,a=!n||!!s||Ma(n,i,o)||(t.getAttribute("rel")||"").split(/\s+/).includes("external"),l=n?.origin===dl&&t.hasAttribute("download");return{url:n,external:a,target:s,download:l}}function Ua(t){let i=null,o=null,n=null,s=null,a=null,l=null,d=t;for(;d&&d!==document.documentElement;)n===null&&(n=Nn(d,"preload-code")),s===null&&(s=Nn(d,"preload-data")),i===null&&(i=Nn(d,"keepfocus")),o===null&&(o=Nn(d,"noscroll")),a===null&&(a=Nn(d,"reload")),l===null&&(l=Nn(d,"replacestate")),d=Uc(d);function m(h){switch(h){case"":case"true":return!0;case"off":case"false":return!1;default:return}}return{preload_code:zc[n??"off"],preload_data:zc[s??"off"],keepfocus:m(i),noscroll:m(o),reload:m(a),replace_state:m(l)}}function Ac(t){const i=Fr(t);let o=!0;function n(){o=!0,i.update(l=>l)}function s(l){o=!1,i.set(l)}function a(l){let d;return i.subscribe(m=>{(d===void 0||o&&m!==d)&&l(d=m)})}return{notify:n,set:s,subscribe:a}}const Cc={v:qo};function Fp(){const{set:t,subscribe:i}=Fr(!1);let o;async function n(){clearTimeout(o);try{const s=await fetch(`${Gp}/_app/version.json`,{headers:{pragma:"no-cache","cache-control":"no-cache"}});if(!s.ok)return!1;const l=(await s.json()).version!==Tp;return l&&(t(!0),Cc.v(),clearTimeout(o)),l}catch{return!1}}return{subscribe:i,check:n}}function Ma(t,i,o){return t.origin!==dl||!t.pathname.startsWith(i)?!0:o?t.pathname!==location.pathname:!1}const Rc=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...Rc];const jp=new Set([...Rc]);[...jp];function zp(t){return t.filter(i=>i!=null)}function Aa(t,i){return t+"/"+i}function ul(t){return t instanceof ol||t instanceof sl?t.status:500}function Up(t){return t instanceof sl?t.text:"Internal Error"}let Pt,Us,fl;const Mp=Fs.toString().includes("$$")||/function \w+\(\) \{\}/.test(Fs.toString()),Ec="a:";Mp?(Pt={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL(Ec)},Us={current:null},fl={current:!1}):(Pt=new class{#e=We({});get data(){return e(this.#e)}set data(i){f(this.#e,i)}#t=We(null);get form(){return e(this.#t)}set form(i){f(this.#t,i)}#i=We(null);get error(){return e(this.#i)}set error(i){f(this.#i,i)}#l=We({});get params(){return e(this.#l)}set params(i){f(this.#l,i)}#n=We({id:null});get route(){return e(this.#n)}set route(i){f(this.#n,i)}#s=We({});get state(){return e(this.#s)}set state(i){f(this.#s,i)}#o=We(-1);get status(){return e(this.#o)}set status(i){f(this.#o,i)}#r=We(new URL(Ec));get url(){return e(this.#r)}set url(i){f(this.#r,i)}},Us=new class{#e=We(null);get current(){return e(this.#e)}set current(i){f(this.#e,i)}},fl=new class{#e=We(!1);get current(){return e(this.#e)}set current(i){f(this.#e,i)}},Cc.v=()=>fl.current=!0);function Bc(t){Object.assign(Pt,t)}const Ap=new Set(["icon","shortcut icon","apple-touch-icon"]);let Ms=null;const Fo=Sc(qc)??{},As=Sc(Tc)??{},ao={url:Ac({}),page:Ac({}),navigating:Fr(null),updated:Fp()};function ml(t){Fo[t]=Yo()}function Cp(t,i){let o=t+1;for(;Fo[o];)delete Fo[o],o+=1;for(o=i+1;As[o];)delete As[o],o+=1}function Cs(t,i=!1){return i?location.replace(t.href):location.href=t.href,new Promise(qo)}async function Dc(){if("serviceWorker"in navigator){const t=await navigator.serviceWorker.getRegistration(mi||"/");t&&await t.update()}}let pl,_l,Ca,ro,gl,ut;const Ra=[],Ea=[];let pi=null;function Ba(){pi?.fork?.then(t=>t?.discard()),pi=null,Qn={element:void 0,href:void 0}}const Da=new Map,Vc=new Set,Rp=new Set,Rs=new Set;let De={branch:[],error:null,url:null},Ic=!1,Va=!1,Pc=!0,Es=!1,Bs=!1,Lc=!1,hl=!1,Oc,bt,_i,jo;const Ia=new Set,Nc=new Map,Hc=new Map;async function Ep(t,i,o){if(globalThis.__sveltekit_1so0o7x.data){const{q:a={},p:l={},l:d={},f:m={}}=globalThis.__sveltekit_1so0o7x.data;for(const h in a)a[h];for(const h in d)d[h];for(const h in m)m[h];for(const h in l)l[h]}document.URL!==location.href&&(location.href=location.href),ut=t,await t.hooks.init?.(),pl=Sp(t),ro=document.documentElement,gl=i,_l=t.nodes[0],Ca=t.nodes[1],_l(),Ca(),bt=history.state?.[On],_i=history.state?.[zs],bt||(bt=_i=Date.now(),history.replaceState({...history.state,[On]:bt,[zs]:_i},""));const n=Fo[bt];function s(){n&&(history.scrollRestoration="manual",scrollTo(n.x,n.y))}o?(s(),await Xp(gl,o)):(await Hn({type:"enter",url:jc(ut.hash?e_(new URL(location.href)):location.href),replace_state:!0}),s()),Kp()}function Bp(){Ra.length=0,hl=!1}function Qc(t){Ea.some(i=>i?.snapshot)&&(As[t]=Ea.map(i=>i?.snapshot?.capture()))}function Jc(t){As[t]?.forEach((i,o)=>{Ea[o]?.snapshot?.restore(i)})}function Wc(){ml(bt),Gc(qc,Fo),Qc(_i),Gc(Tc,As)}async function Dp(t,i,o,n){let s,a;i.invalidateAll&&Ba(),await Hn({type:"goto",url:jc(t),keepfocus:i.keepFocus,noscroll:i.noScroll,replace_state:i.replaceState,state:i.state,redirect_count:o,nav_token:n,accept:()=>{if(i.invalidateAll){hl=!0,s=new Set;for(const[l,d]of Nc)for(const[m,h]of d)h.resource?.reset(),s.add(Aa(l,m));a=new Set;for(const[l,d]of Hc)for(const m of d.keys())a.add(Aa(l,m))}i.invalidate&&i.invalidate.forEach(Wp)}}),i.invalidateAll&&In().then(In).then(()=>{for(const[l,d]of Nc)for(const[m,{resource:h}]of d)s?.has(Aa(l,m))&&h.start();for(const[l,d]of Hc)for(const[m,{resource:h}]of d)a?.has(Aa(l,m))&&h.reconnect()})}async function Vp(t){if(t.id!==pi?.id){Ba();const i={};Ia.add(i),pi={id:t.id,token:i,promise:Xc({...t,preload:i}).then(o=>(Ia.delete(i),o.type==="loaded"&&o.state.error&&Ba(),o)),fork:null}}return pi.promise}async function vl(t){const i=(await La(t,!1))?.route;i&&await Promise.all([...i.layouts,i.leaf].filter(Boolean).map(o=>o[1]()))}async function Kc(t,i,o){const n={params:De.params,route:{id:De.route?.id??null},url:new URL(location.href)};if(De={...t.state,nav:n},Bc(t.props.page),Oc=new ut.root({target:i,props:{...t.props,stores:ao,components:Ea},hydrate:o,sync:!1,transformError:void 0}),await Promise.resolve(),o){const s={from:null,to:{...n,scroll:Fo[bt]??Yo()},willUnload:!1,type:"enter",complete:Promise.resolve()};Rs.forEach(a=>a(s))}Jc(_i),Va=!0}async function Pa({url:t,params:i,branch:o,errors:n,status:s,error:a,route:l,form:d}){let m="never";if(mi&&(t.pathname===mi||t.pathname===mi+"/"))m="always";else for(const F of o)F?.slash!==void 0&&(m=F.slash);t.pathname=up(t.pathname,m),t.search=t.search;const h={type:"loaded",state:{url:t,params:i,branch:o,error:a,route:l},props:{constructors:zp(o).map(F=>F.node.component),page:$l(Pt)}};d!==void 0&&(h.props.form=d);let w={},S=!Pt,T=0;for(let F=0;F<Math.max(o.length,De.branch.length);F+=1){const U=o[F],j=De.branch[F];U?.data!==j?.data&&(S=!0),U&&(w={...w,...U.data},S&&(h.props[`data_${T}`]=w),T+=1)}return(!De.url||t.href!==De.url.href||De.error!==a||d!==void 0&&d!==Pt.form||S)&&(h.props.page={error:a,params:i,route:{id:l?.id??null},state:{},status:s,url:new URL(t),form:d??null,data:S?w:Pt.data}),h}async function yl({loader:t,parent:i,url:o,params:n,route:s,server_data_node:a}){let l=null;const d={dependencies:new Set,params:new Set,parent:!1,route:!1,url:!1,search_params:new Set},m=await t();return{node:m,loader:t,server:a,universal:m.universal?.load?{type:"data",data:l,uses:d}:null,data:l??a?.data??null,slash:m.universal?.trailingSlash??a?.slash}}function Ip(t,i,o){let n=t instanceof Request?t.url:t;const s=new URL(n,o);s.origin===o.origin&&(n=s.href.slice(o.origin.length));const a=Va?vp(n,s.href,i):hp(n,i);return{resolved:s,promise:a}}function Pp(t,i,o,n,s,a){if(hl)return!0;if(!s)return!1;if(s.parent&&t||s.route&&i||s.url&&o)return!0;for(const l of s.search_params)if(n.has(l))return!0;for(const l of s.params)if(a[l]!==De.params[l])return!0;for(const l of s.dependencies)if(Ra.some(d=>d(new URL(l))))return!0;return!1}function bl(t,i){return t?.type==="data"?t:t?.type==="skip"?i??null:null}function Lp(t,i){if(!t)return new Set(i.searchParams.keys());const o=new Set([...t.searchParams.keys(),...i.searchParams.keys()]);for(const n of o){const s=t.searchParams.getAll(n),a=i.searchParams.getAll(n);s.every(l=>a.includes(l))&&a.every(l=>s.includes(l))&&o.delete(n)}return o}function Op({error:t,url:i,route:o,params:n}){return{type:"loaded",state:{error:t,url:i,route:o,params:n,branch:[]},props:{page:$l(Pt),constructors:[]}}}async function Xc({id:t,invalidating:i,url:o,params:n,route:s,preload:a}){if(pi?.id===t)return Ia.delete(pi.token),pi.promise;const{errors:l,layouts:d,leaf:m}=s,h=[...d,m];l.forEach(j=>j?.().catch(qo)),h.forEach(j=>j?.[1]().catch(qo));const w=De.url?t!==Oa(De.url):!1,S=De.route?s.id!==De.route.id:!1,T=Lp(De.url,o);let G=!1;const F=h.map(async(j,x)=>{if(!j)return;const y=De.branch[x];return j[1]===y?.loader&&!Pp(G,S,w,T,y.universal?.uses,n)?y:(G=!0,yl({loader:j[1],url:o,params:n,route:s,parent:async()=>{const B={};for(let R=0;R<x;R+=1)Object.assign(B,(await F[R])?.data);return B},server_data_node:bl(j[0]?{type:"skip"}:null,j[0]?y?.server:void 0)}))});for(const j of F)j.catch(qo);const U=[];for(let j=0;j<h.length;j+=1)if(h[j])try{U.push(await F[j])}catch(x){if(x instanceof nl)return{type:"redirect",location:x.location};if(a&&Ia.has(a))return Op({error:await Jn(x,{params:n,url:o,route:{id:s.id}}),url:o,params:n,route:s});let y=ul(x),I;if(x instanceof ol)I=x.body;else{if(await ao.updated.check())return await Dc(),await Cs(o);I=await Jn(x,{params:n,url:o,route:{id:s.id}})}const B=await Np(j,U,l);return B?Pa({url:o,params:n,branch:U.slice(0,B.idx).concat(B.node),errors:l,status:y,error:I,route:s}):await Yc(o,{id:s.id},I,y)}else U.push(void 0);return Pa({url:o,params:n,branch:U,errors:l,status:200,error:null,route:s,form:i?void 0:null})}async function Np(t,i,o){for(;t--;)if(o[t]){let n=t;for(;!i[n];)n-=1;try{return{idx:n+1,node:{node:await o[t](),loader:o[t],data:{},server:null,universal:null}}}catch{continue}}}async function kl({status:t,error:i,url:o,route:n}){const s={};let a=null;try{const l=await yl({loader:_l,url:o,params:s,route:n,parent:()=>Promise.resolve({}),server_data_node:bl(a)}),d={node:await Ca(),loader:Ca,universal:null,server:null,data:null};return Pa({url:o,params:s,branch:[l,d],status:t,error:i,errors:[],route:null})}catch(l){if(l instanceof nl){await Dp(new URL(l.location,location.href),{},0);return}const d=await ut.get_error_template(),m=await Jn(l,{url:o,params:s,route:n}),h=String(m?.message??"").replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;"),w=d({status:t,message:h}),S=new DOMParser().parseFromString(w,"text/html");throw document.documentElement.replaceChild(document.adoptNode(S.head),document.head),document.documentElement.replaceChild(document.adoptNode(S.body),document.body),l}}async function Hp(t){const i=t.href;if(Da.has(i))return Da.get(i);let o;try{const n=(async()=>{let s=await ut.hooks.reroute({url:new URL(t),fetch:async(a,l)=>Ip(a,l,t).promise})??t;if(typeof s=="string"){const a=new URL(t);ut.hash?a.hash=s:a.pathname=s,s=a}return s})();Da.set(i,n),o=await n}catch{Da.delete(i);return}return o}async function La(t,i){if(t&&!Ma(t,mi,ut.hash)){const o=await Hp(t);if(!o)return;const n=Qp(o);for(const s of pl){const a=s.exec(n);if(a)return{id:Oa(t),invalidating:i,route:s,params:mp(a),url:t}}}}function Qp(t){return fp(ut.hash?t.hash.replace(/^#/,"").replace(/[?#].+/,""):t.pathname.slice(mi.length))||"/"}function Oa(t){return(ut.hash?t.hash.replace(/^#/,""):t.pathname)+t.search}function Zc({url:t,type:i,intent:o,delta:n,event:s,scroll:a}){let l=!1;const d=xl(De,o,t,i,a??null);n!==void 0&&(d.navigation.delta=n),s!==void 0&&(d.navigation.event=s);const m={...d.navigation,cancel:()=>{l=!0,d.reject(new Error("navigation cancelled"))}};return Es||Vc.forEach(h=>h(m)),l?null:d}async function Hn({type:t,url:i,popped:o,keepfocus:n,noscroll:s,replace_state:a,state:l={},redirect_count:d=0,nav_token:m={},accept:h=qo,block:w=qo,event:S}){const T=jo;jo=m;const G=await La(i,!1),F=t==="enter"?xl(De,G,i,t):Zc({url:i,type:t,delta:o?.delta,intent:G,scroll:o?.scroll,event:S});if(!F){w(),jo===m&&(jo=T);return}const U=bt,j=_i;h(),Es=!0,Va&&F.navigation.type!=="enter"&&ao.navigating.set(Us.current=F.navigation);let x=G&&await Xc(G);if(!x){if(Ma(i,mi,ut.hash))return await Cs(i,a);x=await Yc(i,{id:null},await Jn(new sl(404,"Not Found",`Not found: ${i.pathname}`),{url:i,params:{},route:{id:null}}),404,a)}if(i=G?.url||i,jo!==m){F.reject(new Error("navigation aborted"));return}if(!x)return;if(x.type==="redirect"){if(d<20){await Hn({type:t,url:new URL(x.location,i),popped:o,keepfocus:n,noscroll:s,replace_state:a,state:l,redirect_count:d+1,nav_token:m}),F.fulfil(void 0);return}if(x=await kl({status:500,error:await Jn(new Error("Redirect loop"),{url:i,params:{},route:{id:null}}),url:i,route:{id:null}}),!x)return}else if(x.props.page.status>=400&&await ao.updated.check())return await Dc(),await Cs(i,a);if(Bp(),ml(U),Qc(j),x.props.page.url.pathname!==i.pathname&&(i.pathname=x.props.page.url.pathname),l=o?o.state:l,!o){const te=a?0:1,ze={[On]:bt+=te,[zs]:_i+=te,[Fc]:l};(a?history.replaceState:history.pushState).call(history,ze,"",i),a||Cp(bt,_i)}const y=G&&pi?.id===G.id?pi.fork:null;pi?.fork&&!y?Ba():(pi=null,Qn={element:void 0,href:void 0}),x.props.page.state=l;let I;if(Va){const te=(await Promise.all(Array.from(Rp,ye=>ye(F.navigation)))).filter(ye=>typeof ye=="function");if(te.length>0){let ye=function(){te.forEach(Fe=>{Rs.delete(Fe)})};te.push(ye),te.forEach(Fe=>{Rs.add(Fe)})}const ze=F.navigation.to;De={...x.state,nav:{params:ze.params,route:ze.route,url:ze.url}},x.props.page&&(x.props.page.url=i),!n&&document.activeElement instanceof HTMLElement&&document.activeElement!==document.body&&document.activeElement.blur();const q=y&&await y;q?I=q.commit():(Ms=null,Oc.$set(x.props),Ms&&Object.assign(x.props.page,Ms),Bc(x.props.page),I=Cm?.()),Lc=!0}else await Kc(x,gl,!1);const{activeElement:B}=document;if(await I,await In(),await In(),jo!==m){F.reject(new Error("navigation aborted"));return}x.props.page&&Ms&&Object.assign(x.props.page,Ms);let R=null;if(Pc){const te=o?o.scroll:s?Yo():null;te?scrollTo(te.x,te.y):(R=i.hash&&document.getElementById(eu(i)))?R.scrollIntoView():scrollTo(0,0)}const ce=document.activeElement!==B&&document.activeElement!==document.body;!n&&!ce&&Yp(i,!R),Pc=!0,Es=!1,F.fulfil(void 0),F.navigation.to&&(F.navigation.to.scroll=Yo()),Rs.forEach(te=>te(F.navigation)),t==="popstate"&&Jc(_i),ao.navigating.set(Us.current=null)}async function Yc(t,i,o,n,s){return t.origin===dl&&t.pathname===location.pathname&&!Ic?await kl({status:n,error:o,url:t,route:i}):await Cs(t,s)}let Qn={element:void 0,href:void 0};function Jp(){let t,i;ro.addEventListener("mousemove",l=>{const d=l.target;clearTimeout(t),t=setTimeout(()=>{s(d,Zo.hover)},20)});function o(l){l.defaultPrevented||s(l.composedPath()[0],Zo.tap)}ro.addEventListener("mousedown",o),ro.addEventListener("touchstart",o,{passive:!0});const n=new IntersectionObserver(l=>{for(const d of l)d.isIntersecting&&(vl(new URL(d.target.href)),n.unobserve(d.target))},{threshold:0});async function s(l,d){const m=Mc(l,ro),h=m===Qn.element&&m?.href===Qn.href&&d>=i;if(!m||h)return;const{url:w,external:S,download:T}=cl(m,mi,ut.hash);if(S||T)return;const G=Ua(m),F=w&&Oa(De.url)===Oa(w);if(!(G.reload||F))if(d<=G.preload_data){Qn={element:m,href:m.href},i=Zo.tap;const U=await La(w,!1);if(!U)return;Vp(U)}else d<=G.preload_code&&(Qn={element:m,href:m.href},i=d,vl(w))}function a(){n.disconnect();for(const l of ro.querySelectorAll("a")){const{url:d,external:m,download:h}=cl(l,mi,ut.hash);if(m||h)continue;const w=Ua(l);w.reload||(w.preload_code===Zo.viewport&&n.observe(l),w.preload_code===Zo.eager&&vl(d))}}Rs.add(a),a()}function Jn(t,i){if(t instanceof ol)return t.body;const o=ul(t),n=Up(t);return ut.hooks.handleError({error:t,event:i,status:o,message:n})??{message:n}}function Wp(t){if(typeof t=="function")Ra.push(t);else{const{href:i}=new URL(t,location.href);Ra.push(o=>o.href===i)}}function Kp(){history.scrollRestoration="manual",addEventListener("beforeunload",i=>{let o=!1;if(Wc(),!Es){const n=xl(De,void 0,null,"leave"),s={...n.navigation,cancel:()=>{o=!0,n.reject(new Error("navigation cancelled"))}};Vc.forEach(a=>a(s))}o?(i.preventDefault(),i.returnValue=""):history.scrollRestoration="auto"}),addEventListener("visibilitychange",()=>{document.visibilityState==="hidden"&&Wc()}),navigator.connection?.saveData||Jp(),ro.addEventListener("click",async i=>{if(i.button||i.which!==1||i.metaKey||i.ctrlKey||i.shiftKey||i.altKey||i.defaultPrevented)return;const o=Mc(i.composedPath()[0],ro);if(!o)return;const{url:n,external:s,target:a,download:l}=cl(o,mi,ut.hash);if(!n)return;if(a==="_parent"||a==="_top"){if(window.parent!==window)return}else if(a&&a!=="_self")return;const d=Ua(o);if(!(o instanceof SVGAElement)&&n.protocol!==location.protocol&&!(n.protocol==="https:"||n.protocol==="http:")||l)return;const[h,w]=(ut.hash?n.hash.replace(/^#/,""):n.href).split("#"),S=h===al(location);if(s||d.reload&&(!S||!w)){Zc({url:n,type:"link",event:i})?Es=!0:i.preventDefault();return}if(w!==void 0&&S){const[,T]=De.url.href.split("#");if(T===w){if(i.preventDefault(),w===""||w==="top"&&o.ownerDocument.getElementById("top")===null)scrollTo({top:0});else{const G=o.ownerDocument.getElementById(decodeURIComponent(w));G&&(G.scrollIntoView(),G.focus())}return}if(Bs=!0,ml(bt),t(n),!d.replace_state)return;Bs=!1}i.preventDefault(),await new Promise(T=>{requestAnimationFrame(()=>{setTimeout(T,0)}),setTimeout(T,100)}),await Hn({type:"link",url:n,keepfocus:d.keepfocus,noscroll:d.noscroll,replace_state:d.replace_state??n.href===location.href,event:i})}),ro.addEventListener("submit",i=>{if(i.defaultPrevented)return;const o=HTMLFormElement.prototype.cloneNode.call(i.target),n=i.submitter;if((n?.formTarget||o.target)==="_blank"||(n?.formMethod||o.method)!=="get")return;const l=new URL(n?.hasAttribute("formaction")&&n?.formAction||o.action);if(Ma(l,mi,!1))return;const d=i.target,m=Ua(d);if(m.reload)return;i.preventDefault(),i.stopPropagation();const h=new FormData(d,n);l.search=new URLSearchParams(h).toString(),Hn({type:"form",url:l,keepfocus:m.keepfocus,noscroll:m.noscroll,replace_state:m.replace_state??l.href===location.href,event:i})}),addEventListener("popstate",async i=>{if(!wl){if(i.state?.[On]){const o=i.state[On];if(jo={},o===bt)return;const n=Fo[o],s=i.state[Fc]??{},a=new URL(i.state[qp]??location.href),l=i.state[zs],d=De.url?al(location)===al(De.url):!1;if(l===_i&&(Lc||d)){s!==Pt.state&&(Pt.state=s),t(a),Fo[bt]=Yo(),n&&scrollTo(n.x,n.y),bt=o;return}const h=o-bt;await Hn({type:"popstate",url:a,popped:{state:s,scroll:n,delta:h},accept:()=>{bt=o,_i=l},block:()=>{history.go(-h)},nav_token:jo,event:i})}else if(!Bs){const o=new URL(location.href);t(o),ut.hash&&location.reload()}}}),addEventListener("hashchange",()=>{Bs&&(Bs=!1,history.replaceState({...history.state,[On]:++bt,[zs]:_i},"",location.href))});for(const i of document.querySelectorAll("link"))Ap.has(i.rel)&&(i.href=i.href);addEventListener("pageshow",i=>{i.persisted&&ao.navigating.set(Us.current=null)});function t(i){De.url=Pt.url=i,ao.page.set($l(Pt)),ao.page.notify()}}async function Xp(t,{status:i=200,error:o,node_ids:n,params:s,route:a,server_route:l,data:d,form:m}){Ic=!0;const h=new URL(location.href);let w;({params:s={},route:a={id:null}}=await La(h,!1)||{}),w=pl.find(({id:G})=>G===a.id);let S,T=!0;try{const G=n.map(async(U,j)=>{const x=d[j];return x?.uses&&(x.uses=Zp(x.uses)),yl({loader:ut.nodes[U],url:h,params:s,route:a,parent:async()=>{const y={};for(let I=0;I<j;I+=1)Object.assign(y,(await G[I]).data);return y},server_data_node:bl(x)})}),F=await Promise.all(G);if(w){const U=w.layouts;for(let j=0;j<U.length;j++)U[j]||F.splice(j,0,void 0)}S=await Pa({url:h,params:s,branch:F,status:i,error:o,errors:w?.errors,form:m,route:w??null})}catch(G){if(G instanceof nl)return await Cs(new URL(G.location,location.href));S=await kl({status:ul(G),error:await Jn(G,{url:h,params:s,route:a}),url:h,route:a}),t.textContent="",T=!1}S&&(S.props.page&&(S.props.page.state={}),await Kc(S,t,T))}function Zp(t){return{dependencies:new Set(t?.dependencies??[]),params:new Set(t?.params??[]),parent:!!t?.parent,route:!!t?.route,url:!!t?.url,search_params:new Set(t?.search_params??[])}}let wl=!1;function Yp(t,i=!0){const o=document.querySelector("[autofocus]");if(o)o.focus();else{const n=eu(t);if(n&&document.getElementById(n)){const{x:a,y:l}=Yo();setTimeout(()=>{const d=history.state;wl=!0,location.replace(new URL(`#${n}`,location.href)),history.replaceState(d,"",t),i&&scrollTo(a,l),wl=!1})}else{const a=document.body,l=a.getAttribute("tabindex");a.tabIndex=-1,a.focus({preventScroll:!0,focusVisible:!1}),l!==null?a.setAttribute("tabindex",l):a.removeAttribute("tabindex")}const s=getSelection();if(s&&s.type!=="None"){const a=[];for(let l=0;l<s.rangeCount;l+=1)a.push(s.getRangeAt(l));setTimeout(()=>{if(s.rangeCount===a.length){for(let l=0;l<s.rangeCount;l+=1){const d=a[l],m=s.getRangeAt(l);if(d.commonAncestorContainer!==m.commonAncestorContainer||d.startContainer!==m.startContainer||d.endContainer!==m.endContainer||d.startOffset!==m.startOffset||d.endOffset!==m.endOffset)return}s.removeAllRanges()}})}}}function xl(t,i,o,n,s=null){let a,l;const d=new Promise((h,w)=>{a=h,l=w});return d.catch(qo),{navigation:{from:{params:t.params,route:{id:t.route?.id??null},url:t.url,scroll:Yo()},to:o&&{params:i?.params??null,route:{id:i?.route?.id??null},url:o,scroll:s},willUnload:!i,type:n,complete:d},fulfil:a,reject:l}}function $l(t){return{data:t.data,error:t.error,form:t.form,params:t.params,route:t.route,state:t.state,status:t.status,url:t.url}}function e_(t){const i=new URL(t);return i.hash=decodeURIComponent(t.hash),i}function eu(t){let i;if(ut.hash){const[,,o]=t.hash.split("#",3);i=o??""}else i=t.hash.slice(1);return decodeURIComponent(i)}const vy="modulepreload",yy=function(t,i){return new URL(t,i).href},by={},Na=function(i,o,n){let s=Promise.resolve();function a(l){const d=new Event("vite:preloadError",{cancelable:!0});if(d.payload=l,window.dispatchEvent(d),!d.defaultPrevented)throw l}return s.then(l=>{for(const d of l||[])d.status==="rejected"&&a(d.reason);return i().catch(a)})},t_={},i_="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(i_);var o_=D('<div id="svelte-announcer" aria-live="assertive" aria-atomic="true" style="position: absolute; left: 0; top: 0; clip: rect(0 0 0 0); clip-path: inset(50%); overflow: hidden; white-space: nowrap; width: 1px; height: 1px"><!></div>'),n_=D("<!> <!>",1);function s_(t,i){ya(i,!0);let o=il(i,"components",23,()=>[]),n=il(i,"data_0",3,null),s=il(i,"data_1",3,null);tc(()=>i.stores.page.set(i.page)),Ga(()=>{i.stores,i.page,i.constructors,o(),i.form,n(),s(),i.stores.page.notify()});let a=We(!1),l=We(!1),d=We(null);Fs(()=>{const U=i.stores.page.subscribe(()=>{e(a)&&(f(l,!0),In().then(()=>{f(d,document.title||"untitled page",!0)}))});return f(a,!0),U});const m=ki(()=>i.constructors[1]);var h=n_(),w=Re(h);{var S=U=>{const j=ki(()=>i.constructors[0]);var x=Pn(),y=Re(x);Xr(y,()=>e(j),(I,B)=>{qs(B(I,{get data(){return n()},get form(){return i.form},get params(){return i.page.params},children:(R,ce)=>{var te=Pn(),ze=Re(te);Xr(ze,()=>e(m),(q,ye)=>{qs(ye(q,{get data(){return s()},get form(){return i.form},get params(){return i.page.params}}),Fe=>o()[1]=Fe,()=>o()?.[1])}),M(R,te)},$$slots:{default:!0}}),R=>o()[0]=R,()=>o()?.[0])}),M(U,x)},T=U=>{const j=ki(()=>i.constructors[0]);var x=Pn(),y=Re(x);Xr(y,()=>e(j),(I,B)=>{qs(B(I,{get data(){return n()},get form(){return i.form},get params(){return i.page.params}}),R=>o()[0]=R,()=>o()?.[0])}),M(U,x)};Q(w,U=>{i.constructors[1]?U(S):U(T,-1)})}var G=b(w,2);{var F=U=>{var j=o_(),x=g(j);{var y=I=>{var B=Lm();E(()=>k(B,e(d))),M(I,B)};Q(x,I=>{e(l)&&I(y)})}_(j),M(U,j)};Q(G,U=>{e(a)&&U(F)})}M(t,h),ba()}const a_=rp(s_),r_=[()=>Na(()=>Promise.resolve().then(()=>m_),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.PXOrThmS.js",document.baseURI).href),()=>Na(()=>Promise.resolve().then(()=>h_),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.PXOrThmS.js",document.baseURI).href),()=>Na(()=>Promise.resolve().then(()=>Yh),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.PXOrThmS.js",document.baseURI).href)],l_=[],d_={"/":[2]},Sl={handleError:(({error:t})=>{console.error(t)}),reroute:(()=>{}),transport:{}},tu=Object.fromEntries(Object.entries(Sl.transport).map(([t,i])=>[t,i.decode])),c_=Object.fromEntries(Object.entries(Sl.transport).map(([t,i])=>[t,i.encode])),iu=Object.freeze(Object.defineProperty({__proto__:null,decode:(t,i)=>tu[t](i),decoders:tu,dictionary:d_,encoders:c_,get_error_template:()=>Na(()=>Promise.resolve().then(()=>ev),void 0,oi&&oi.tagName.toUpperCase()==="SCRIPT"&&oi.src||new URL("_app/immutable/bundle.PXOrThmS.js",document.baseURI).href).then(t=>t.default),hash:!1,hooks:Sl,matchers:t_,nodes:r_,root:a_,server_loads:l_},Symbol.toStringTag,{value:"Module"}));function u_(t,i){Ep(iu,t,i)}function f_(t,i){var o=Pn(),n=Re(o);Wm(n,()=>i.children),M(t,o)}const m_=Object.freeze(Object.defineProperty({__proto__:null,component:f_},Symbol.toStringTag,{value:"Module"})),p_={get error(){return Pt.error},get status(){return Pt.status}};ao.updated.check;const ou=p_;var __=D("<h1> </h1> <p> </p>",1);function g_(t,i){ya(i,!0);var o=__(),n=Re(o),s=g(n,!0);_(n);var a=b(n,2),l=g(a,!0);_(a),E(()=>{k(s,ou.status),k(l,ou.error?.message)}),M(t,o),ba()}const h_=Object.freeze(Object.defineProperty({__proto__:null,component:g_},Symbol.toStringTag,{value:"Module"})),v_=Object.freeze(Object.defineProperty({__proto__:null,prerender:!0,ssr:!1},Symbol.toStringTag,{value:"Module"}));dm();function Ha(t,i,o){for(let n=0;n<o.length;n+=1)t.setUint8(i+n,o.charCodeAt(n))}function Gl(t){const i=t.numberOfChannels,o=t.length,n=new ArrayBuffer(44+o*i*2),s=new DataView(n);Ha(s,0,"RIFF"),s.setUint32(4,36+o*i*2,!0),Ha(s,8,"WAVE"),Ha(s,12,"fmt "),s.setUint32(16,16,!0),s.setUint16(20,1,!0),s.setUint16(22,i,!0),s.setUint32(24,t.sampleRate,!0),s.setUint32(28,t.sampleRate*i*2,!0),s.setUint16(32,i*2,!0),s.setUint16(34,16,!0),Ha(s,36,"data"),s.setUint32(40,o*i*2,!0);const a=Array.from({length:i},(d,m)=>t.getChannelData(m));let l=44;for(let d=0;d<o;d+=1)for(let m=0;m<i;m+=1){const h=Math.max(-1,Math.min(1,a[m][d]));s.setInt16(l,h<0?h*32768:h*32767,!0),l+=2}return new Blob([n],{type:"audio/wav"})}async function y_(t){if(!t.length)throw new Error("No audio chunks were generated.");if(t.length===1)return t[0];const i=new AudioContext;try{const o=await Promise.all(t.map(async m=>i.decodeAudioData(await m.arrayBuffer()))),n=o[0].sampleRate,s=o[0].numberOfChannels;for(const m of o)if(m.sampleRate!==n||m.numberOfChannels!==s)throw new Error("Generated chunks use different audio formats and cannot be joined.");const a=o.reduce((m,h)=>m+h.length,0),l=i.createBuffer(s,a,n);let d=0;for(const m of o){for(let h=0;h<s;h+=1)l.copyToChannel(m.getChannelData(h),h,d);d+=m.length}return Gl(l)}finally{await i.close()}}async function Tl(t,i){if(!i&&(t.type==="audio/wav"||t.name.toLowerCase().endsWith(".wav")))return t;const o=new AudioContext;try{const n=await o.decodeAudioData(await t.arrayBuffer());if(!i||n.sampleRate===i)return Gl(n);const s=Math.max(1,Math.ceil(n.duration*i)),a=new OfflineAudioContext(n.numberOfChannels,s,i),l=a.createBufferSource();return l.buffer=n,l.connect(a.destination),l.start(),Gl(await a.startRendering())}finally{await o.close()}}async function nu(t){let i=`${t.status} ${t.statusText}`;try{const o=await t.json();i=o?.error?.message||o?.message||i}catch{const o=await t.text();o&&(i=o)}return new Error(i)}async function ft(t,i={},o){const n=new Headers(i.headers);i.body&&!(i.body instanceof FormData)&&!n.has("Content-Type")&&n.set("Content-Type","application/json");const s=await fetch(t,{...i,headers:n,signal:o});if(!s.ok)throw await nu(s);return s.json()}async function b_(){return ft("/health")}async function k_(){return(await ft("/v1/models")).data}async function w_(t){await ft("/v1/models/load",{method:"POST",body:JSON.stringify(t)})}async function Qa(t){await ft("/v1/models/unload",{method:"POST",body:JSON.stringify({id:t})})}async function x_(t){return ft("/v1/ui/path-status",{method:"POST",body:JSON.stringify({path:t})})}async function $_(t){return ft("/v1/ui/models/install",{method:"POST",body:JSON.stringify(t)})}async function S_(t){return ft("/v1/ui/models/install/stop",{method:"POST",body:JSON.stringify({id:t})})}async function G_(t){return ft("/v1/ui/models/clean-partial",{method:"POST",body:JSON.stringify({id:t})})}async function T_(t){return ft("/v1/ui/models/delete",{method:"POST",body:JSON.stringify({id:t})})}async function q_(){return(await ft("/v1/ui/models/install-status")).data}async function F_(){return ft("/v1/ui/models/package-sizes")}async function j_(){return ft("/v1/ui/models-root")}async function su(t=""){return ft("/v1/ui/models-root",{method:"POST",body:JSON.stringify({path:t})})}async function z_(t=""){return ft("/v1/ui/browse-directories",{method:"POST",body:JSON.stringify({path:t})})}async function au(t=""){const i=t?`?model=${encodeURIComponent(t)}`:"";return(await ft(`/v1/audio/voices${i}`)).voices}async function ru(t,i){return(await ft("/v1/ui/upload",{method:"POST",headers:{"Content-Type":"audio/wav"},body:t},i)).path}async function U_(t,i){const o=await fetch("/v1/audio/speech",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(t),signal:i});if(!o.ok)throw await nu(o);return{blob:await o.blob(),wallMs:o.headers.get("X-AudioCPP-Wall-Ms"),rtf:o.headers.get("X-AudioCPP-RTF")}}async function lu(t,i){return ft("/v1/audio/transcriptions",{method:"POST",body:JSON.stringify(t)},i)}async function M_(t,i){return ft("/v1/tasks/run",{method:"POST",body:JSON.stringify(t)},i)}function du(t){const i=atob(t),o=new Uint8Array(i.length);for(let n=0;n<i.length;n+=1)o[n]=i.charCodeAt(n);return URL.createObjectURL(new Blob([o],{type:"audio/wav"}))}const A_={family:"ace_step",display_name:"ACE-Step",description:"Open-source ACE-Step 1.5 music generation model for text-to-music and lyrics-to-song workflows across 50+ languages, with editing routes such as cover generation, repainting, continuation, stem extraction, and vocal-to-BGM conversion.",category:"audio_generation",status:"supported",tasks:["music","edit"],modes:["offline"],languages:["50+ languages"],capabilities:{music:["lyrics"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"ace_step_turbo_bf16",tags:["Music","Edit","GGUF"],docs:["docs/models/ace_step.md","docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"ace_step_turbo_q8_0",display_name:"ACE-Step 1.5 Turbo Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-q8_0.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_turbo_bf16",display_name:"ACE-Step 1.5 Turbo BF16 GGUF",default:!0,format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_base_q8_0",display_name:"ACE-Step 1.5 Base Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/base/ace-step-1.5-base-q8_0.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_base_bf16",display_name:"ACE-Step 1.5 Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/base/ace-step-1.5-base-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF"},{id:"ace_step_xl_turbo_bf16",display_name:"ACE-Step 1.5 XL Turbo BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/xl-turbo/ace-step-1.5-xl-turbo-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF",download:{kind:"huggingface_snapshot",repo:"CaptainArni/audio.cpp-gguf"}},{id:"ace_step_xl_sft_bf16",display_name:"ACE-Step 1.5 XL SFT BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"ACE-Step1.5-GGUF",files:["ACE-Step1.5-GGUF/xl-sft/ace-step-1.5-xl-sft-bf16.gguf"],strip_prefix:"ACE-Step1.5-GGUF",download:{kind:"huggingface_snapshot",repo:"CaptainArni/audio.cpp-gguf"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{dit_turbo_config:"model:acestep-v15-turbo/config.json",dit_base_config:"model:acestep-v15-base/config.json",lm_config:"model:acestep-5Hz-lm-1.7B/config.json",lm_tokenizer_config:"model:acestep-5Hz-lm-1.7B/tokenizer_config.json",lm_vocab:"model:acestep-5Hz-lm-1.7B/vocab.json",lm_merges:"model:acestep-5Hz-lm-1.7B/merges.txt",lm_tokenizer_json:"model:acestep-5Hz-lm-1.7B/tokenizer.json",lm_chat_template:"model:acestep-5Hz-lm-1.7B/chat_template.jinja",text_encoder_config:"model:Qwen3-Embedding-0.6B/config.json",text_encoder_tokenizer_config:"model:Qwen3-Embedding-0.6B/tokenizer_config.json",text_encoder_vocab:"model:Qwen3-Embedding-0.6B/vocab.json",text_encoder_merges:"model:Qwen3-Embedding-0.6B/merges.txt",text_encoder_tokenizer_json:"model:Qwen3-Embedding-0.6B/tokenizer.json",text_encoder_chat_template:"model:Qwen3-Embedding-0.6B/chat_template.jinja",vae_config:"model:vae/config.json"},optional_files:{dit_xl_turbo_config:"model:acestep-v15-xl-turbo/config.json",dit_xl_sft_config:"model:acestep-v15-xl-sft/config.json"},optional_tensors:{dit_xl_turbo_weights:{source:"weights:",prefix:"dit_xl_turbo_weights"},dit_xl_turbo_silence_latent:{source:"weights:",prefix:"dit_xl_turbo_silence_latent"},dit_xl_sft_weights:{source:"weights:",prefix:"dit_xl_sft_weights"},dit_xl_sft_silence_latent:{source:"weights:",prefix:"dit_xl_sft_silence_latent"}},tensors:{dit_turbo_weights:{source:"weights:",prefix:"dit_turbo_weights"},dit_turbo_silence_latent:{source:"weights:",prefix:"dit_turbo_silence_latent"},dit_base_weights:{source:"weights:",prefix:"dit_base_weights"},dit_base_silence_latent:{source:"weights:",prefix:"dit_base_silence_latent"},lm_weights:{source:"weights:",prefix:"lm_weights"},text_encoder_weights:{source:"weights:",prefix:"text_encoder_weights"},vae_weights:{source:"weights:",prefix:"vae_weights"}}},{format:"safetensors",roots:{model:"."},files:{dit_turbo_config:"model:acestep-v15-turbo/config.json",dit_base_config:"model:acestep-v15-base/config.json",lm_config:"model:acestep-5Hz-lm-1.7B/config.json",lm_tokenizer_config:"model:acestep-5Hz-lm-1.7B/tokenizer_config.json",lm_vocab:"model:acestep-5Hz-lm-1.7B/vocab.json",lm_merges:"model:acestep-5Hz-lm-1.7B/merges.txt",lm_tokenizer_json:"model:acestep-5Hz-lm-1.7B/tokenizer.json",lm_chat_template:"model:acestep-5Hz-lm-1.7B/chat_template.jinja",text_encoder_config:"model:Qwen3-Embedding-0.6B/config.json",text_encoder_tokenizer_config:"model:Qwen3-Embedding-0.6B/tokenizer_config.json",text_encoder_vocab:"model:Qwen3-Embedding-0.6B/vocab.json",text_encoder_merges:"model:Qwen3-Embedding-0.6B/merges.txt",text_encoder_tokenizer_json:"model:Qwen3-Embedding-0.6B/tokenizer.json",text_encoder_chat_template:"model:Qwen3-Embedding-0.6B/chat_template.jinja",vae_config:"model:vae/config.json"},optional_files:{dit_xl_turbo_config:"model:acestep-v15-xl-turbo/config.json",dit_xl_sft_config:"model:acestep-v15-xl-sft/config.json"},optional_tensors:{dit_xl_turbo_weights:"model:acestep-v15-xl-turbo/model.safetensors.index.json",dit_xl_turbo_silence_latent:"model:acestep-v15-xl-turbo/silence_latent.safetensors",dit_xl_sft_weights:"model:acestep-v15-xl-sft/model.safetensors.index.json",dit_xl_sft_silence_latent:"model:acestep-v15-xl-sft/silence_latent.safetensors"},tensors:{dit_turbo_weights:"model:acestep-v15-turbo/model.safetensors",dit_turbo_silence_latent:"model:acestep-v15-turbo/silence_latent.safetensors",dit_base_weights:"model:acestep-v15-base/model.safetensors",dit_base_silence_latent:"model:acestep-v15-base/silence_latent.safetensors",lm_weights:"model:acestep-5Hz-lm-1.7B/model.safetensors",text_encoder_weights:"model:Qwen3-Embedding-0.6B/model.safetensors",vae_weights:"model:vae/diffusion_pytorch_model.safetensors"}}]},C_={schema_version:1,family:"bs_roformer",display_name:"BS-RoFormer",description:"Band-Split RoFormer music source-separation model that estimates vocals from explicit non-overlapping frequency bands and derives accompaniment from the input mixture.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"RoFormer weight storage type. Defaults to f32 when the backend requires a host graph plan, otherwise native.",preset:"weight_type_full",required:!1},{name:"num_overlap",type:"int",description:"Number of overlapping inference windows; defaults to the package configuration. Lower values improve throughput but can reduce boundary quality.",required:!1,min:1}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"bs_roformer_q8_0",display_name:"BS-RoFormer ep368 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"BS-RoFormer-ep368-GGUF",files:["BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf"],strip_prefix:"BS-RoFormer-ep368-GGUF"}],dependencies:[],ui:{recommended_package:"bs_roformer_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md","tests/bs_roformer/README.md"]}},R_={family:"chatterbox",display_name:"Chatterbox",description:"Open-source Chatterbox family for expressive TTS and voice conversion, with emotion exaggeration control, fast generation, zero-shot voice cloning, and an integrated multilingual TTS path.",category:"tts",status:"supported",tasks:["tts","clone","vc"],modes:["offline"],languages:["ar","da","de","el","en","es","fi","fr","hi","it","ko","ms","nl","no","pl","pt","sv","sw","tr"],capabilities:{clone:["speaker_reference"],vc:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"chatterbox_q8_0",tags:["TTS","Clone","VC","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"chatterbox_q8_0",display_name:"Chatterbox Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Chatterbox-GGUF",files:["Chatterbox-GGUF/chatterbox-q8_0.gguf"],strip_prefix:"Chatterbox-GGUF"},{id:"chatterbox_f16",display_name:"Chatterbox F16 GGUF",format:"gguf",precision:"f16",target_directory:"Chatterbox-GGUF",files:["Chatterbox-GGUF/chatterbox-f16.gguf"],strip_prefix:"Chatterbox-GGUF"},{id:"chatterbox_safetensors",display_name:"Chatterbox Safetensors",format:"safetensors",precision:"native",target_directory:"chatterbox",files:["ve.safetensors","t3_cfg.safetensors","s3gen.safetensors","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"ResembleAI/chatterbox"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{english_tokenizer:"model:tokenizer.json",multilingual_tokenizer:"model:grapheme_mtl_merged_expanded_v1.json",cangjie_mapping:"model:Cangjie5_TC.json",builtin_conditionals:"model:conds.pt"},tensors:{voice_encoder_weights:{source:"weights:",prefix:"voice_encoder"},s3gen_weights:{source:"weights:",prefix:"s3gen"},t3_english_weights:{source:"weights:",prefix:"t3_english"},t3_multilingual_v2_weights:{source:"weights:",prefix:"t3_multilingual_v2"},t3_multilingual_v3_weights:{source:"weights:",prefix:"t3_multilingual_v3"}}},{format:"safetensors",roots:{model:"."},files:{english_tokenizer:"model:tokenizer.json",multilingual_tokenizer:"model:grapheme_mtl_merged_expanded_v1.json",cangjie_mapping:"model:Cangjie5_TC.json",builtin_conditionals:"model:conds.pt"},tensors:{voice_encoder_weights:"model:ve.safetensors",s3gen_weights:"model:s3gen.safetensors",t3_english_weights:"model:t3_cfg.safetensors",t3_multilingual_v2_weights:"model:t3_mtl23ls_v2.safetensors",t3_multilingual_v3_weights:"model:t3_mtl23ls_v3.safetensors"}}]},E_={family:"citrinet_asr",display_name:"Citrinet ASR",description:"NVIDIA CitriNet-family end-to-end English ASR model using a convolutional CTC architecture optimized for transcribing speech segments to text.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["en"],capabilities:{},runtime:{tags:["gguf"]},ui:{recommended_package:"citrinet_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"citrinet_asr_q8_0",display_name:"Citrinet ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Citrinet-ASR-GGUF",files:["Citrinet-ASR-GGUF/citrinet-asr-q8_0.gguf"],strip_prefix:"Citrinet-ASR-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:citrinet_256_config.json",tokenizer:"model:citrinet_256_tokenizer.model"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:citrinet_256_config.json",tokenizer:"model:citrinet_256_tokenizer.model"},tensors:{weights:"model:citrinet_256.safetensors"}}]},B_={schema_version:1,family:"confucius4_tts",display_name:"Confucius4-TTS",description:"Confucius4-TTS is a multilingual voice-cloning TTS model packaged for audio.cpp with offline and streaming generation. It uses reference speech, language-aware text normalization, T2S semantic generation, S2A flow matching, style encoding, semantic audio features, and BigVGAN vocoding.",category:"tts",status:"experimental",tasks:["clone"],modes:["offline","streaming"],languages:["zh","en","ja","ko","de","fr","es","id","it","th","pt","ru","ms","vi"],runtime:{tags:["gguf","stream"]},capabilities:{clone:["speaker_reference","long_form"]},options:{request:[{name:"language",type:"string",description:"Target synthesis language code used by the text frontend; default zh when no request transcript language or style language is provided.",required:!1,default:"zh"},{name:"temperature",type:"float",description:"T2S sampling temperature; must be positive, default 0.8.",required:!1,min:0,default:.8},{name:"top_p",type:"float",description:"T2S nucleus sampling probability; must be in (0, 1], default 0.8.",required:!1,min:0,max:1,default:.8},{name:"top_k",type:"int",description:"T2S top-k sampling limit; must be positive, default 30.",required:!1,min:1,default:30},{name:"num_beams",type:"int",description:"T2S beam count; default 3. Set 1 for single-beam sampling.",required:!1,min:1,default:3},{name:"repetition_penalty",type:"float",description:"T2S repetition penalty; must be positive, default 10.0.",required:!1,min:0,default:10},{name:"max_tokens",type:"int",description:"Maximum T2S semantic sequence length including prompt tokens; default 1520.",required:!1,min:1,default:1520},{name:"num_inference_steps",type:"int",description:"S2A flow-matching step count; default 25.",required:!1,min:1,default:25},{name:"guidance_scale",type:"float",description:"S2A classifier-free guidance scale; default 0.7.",required:!1,min:0,default:.7},{name:"text_chunk_size",type:"int",description:"Maximum text tokens per generated segment; default 80.",required:!1,min:1,default:80},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode; default uses the standard word-budget chunker.",values:["default","tag_aware","japanese","endline"],required:!1,default:"default"},{name:"cross_fade_duration_sec",type:"float",description:"Cross-fade duration between generated segments in seconds; default 0.3.",required:!1,min:0,default:.3},{name:"edge_fade_duration_sec",type:"float",description:"Fade duration applied at segment edges in seconds; default 0.1.",required:!1,min:0,default:.1},{name:"edge_pad_duration_sec",type:"float",description:"Silence padding applied at segment edges in seconds; default 0.1.",required:!1,min:0,default:.1},{name:"seed",type:"int",description:"Seed for T2S sampling and S2A noise initialization; default 1234.",required:!1,min:0,default:1234}],session:[{name:"graph_arena_mb",type:"int",description:"Reusable ggml graph arena size in MiB for Confucius stages; default 512.",required:!1,min:1,default:512},{name:"weight_context_mb",type:"int",description:"Weight loading context size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"weight_type",type:"enum",description:"Matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; default 1, set 0 to disable caching.",required:!1,min:0,default:1},{name:"mem_saver",type:"bool",description:"Release staged graphs after request phases; default false.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"confucius4_tts_orig",display_name:"Confucius4-TTS Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Confucius4-TTS-GGUF",files:["Confucius4-TTS-GGUF/confucius4-tts-orig.gguf"],strip_prefix:"Confucius4-TTS-GGUF"}],dependencies:[],ui:{recommended_package:"confucius4_tts_orig",tags:["TTS","Clone","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:inference_config.yaml",tokenizer_model:"model:tokenizer.model",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",w2v_preprocessor_config:"model:w2v_preprocessor_config.json",bigvgan_config:"model:bigvgan_config.json"},tensors:{t2s:{source:"weights:",prefix:"t2s"},s2a:{source:"weights:",prefix:"s2a"},semantic_encoder:{source:"weights:",prefix:"semantic_encoder"},semantic_encoder_shaw:{source:"weights:",prefix:"semantic_encoder_shaw"},semantic_stats:{source:"weights:",prefix:"semantic_stats"},style_encoder:{source:"weights:",prefix:"style_encoder"},vocoder:{source:"weights:",prefix:"vocoder"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:inference_config.yaml",tokenizer_model:"model:tokenizer.model",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",w2v_preprocessor_config:"model:w2v_preprocessor_config.json",bigvgan_config:"model:bigvgan_config.json"},tensors:{t2s:"model:t2s.safetensors",s2a:"model:s2a.safetensors",semantic_encoder:"model:semantic_encoder.safetensors",semantic_encoder_shaw:"model:semantic_encoder_shaw.safetensors",semantic_stats:"model:semantic_stats.safetensors",style_encoder:"model:style_encoder.safetensors",vocoder:"model:vocoder.safetensors"}}]},D_={schema_version:1,family:"dots_tts",display_name:"DotTTS",description:"DotTTS is a multilingual zero-shot TTS and voice-cloning model family packaged for audio.cpp with SOAR and MeanFlow generation, prompt-audio plus prompt-text prefill, speaker-reference conditioning, language tags, multiple synthesis templates, long-form text chunking, and true streaming audio output.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline","streaming"],languages:["multilingual"],runtime:{tags:["gguf","stream"]},capabilities:{tts:["speaker_reference","style_control","long_form"],clone:["speaker_reference","style_control","long_form"]},options:{request:[{name:"reference_text",type:"string",description:"Transcript for the prompt audio. When set with reference audio, DotTTS uses prompt prefill for higher quality voice cloning.",required:!1},{name:"reference_duration_sec",type:"float",description:"Optional prompt-audio trim duration before reference conditioning and prompt prefill.",required:!1,min:0},{name:"template_name",type:"enum",description:"DotTTS synthesis template. tts is normal text-to-speech; instruction_tts adds instruction conditioning; text_to_audio uses a sound-description template; tts_interleave uses the streaming interleave schedule.",values:["tts","instruction_tts","text_to_audio","tts_interleave"],required:!1,default:"tts"},{name:"language",type:"string",description:"Optional target language tag. none disables language tagging; otherwise pass a language code such as en or zh.",required:!1,default:"none"},{name:"num_inference_steps",type:"int",description:"SOAR flow-matching inference step count; default 10.",required:!1,min:1,default:10},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale used by SOAR flow matching. Default 1.2.",required:!1,min:0,default:1.2},{name:"speaker_scale",type:"float",description:"Multiplier applied to the prompt speaker embedding; default 1.5.",required:!1,min:0,default:1.5},{name:"sampler_mode",type:"enum",description:"SOAR ODE solver method for flow matching. Fixed-step euler is the default and parity baseline.",values:["euler","midpoint","rk4"],required:!1,default:"euler"},{name:"max_tokens",type:"int",description:"Maximum generated audio patch count per generated segment; default 500.",required:!1,min:1,default:500},{name:"text_chunk_size",type:"int",description:"Maximum text codepoints per generated segment for long-form requests; default 320.",required:!1,min:1,default:320},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode; default tag_aware preserves leading style/control tags across long-form chunks.",values:["default","tag_aware","japanese","endline"],required:!1,default:"tag_aware"},{name:"vocoder_merge_steps",type:"int",description:"Streaming vocoder latent patch merge size after the initial unmerged patches; default 4, matching the Python optimized streaming runtime default.",required:!1,min:1,default:4},{name:"seed",type:"int",description:"Seed for prompt latent sampling and flow noise initialization; default 42.",required:!1,min:0,default:42}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type for DotTTS components; default native. Component-specific weight options override this value.",preset:"weight_type_full",required:!1,default:"native"},{name:"speaker_encoder_weight_type",type:"enum",description:"Speaker encoder matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"AudioVAE vocoder matmul and recurrent weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"patch_encoder_weight_type",type:"enum",description:"Patch encoder transformer matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"llm_weight_type",type:"enum",description:"Autoregressive language model matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"flow_weight_type",type:"enum",description:"SOAR or MeanFlow DiT flow-matching matmul weight storage type; defaults to weight_type.",preset:"weight_type_full",required:!1},{name:"codec_conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; set 0 to disable reuse.",required:!1,min:0,default:4},{name:"mem_saver",type:"bool",description:"Load DotTTS components by request phase and release their weights/graphs after last use while keeping reference cache slots alive.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"dots_tts_soar_q8_0",display_name:"DotTTS SOAR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"DotTTS-SOAR-GGUF",files:["DotTTS-SOAR-GGUF/dots-tts-soar-q8_0.gguf"],strip_prefix:"DotTTS-SOAR-GGUF"},{id:"dots_tts_soar_bf16",display_name:"DotTTS SOAR BF16 GGUF",default:!1,format:"gguf",precision:"bf16",target_directory:"DotTTS-SOAR-GGUF",files:["DotTTS-SOAR-GGUF/dots-tts-soar-bf16.gguf"],strip_prefix:"DotTTS-SOAR-GGUF"},{id:"dots_tts_mf_q8_0",display_name:"DotTTS MeanFlow Q8_0 GGUF",default:!1,format:"gguf",precision:"q8_0",target_directory:"DotTTS-MF-GGUF",files:["DotTTS-MF-GGUF/dots-tts-mf-q8_0.gguf"],strip_prefix:"DotTTS-MF-GGUF"},{id:"dots_tts_mf_bf16",display_name:"DotTTS MeanFlow BF16 GGUF",default:!1,format:"gguf",precision:"bf16",target_directory:"DotTTS-MF-GGUF",files:["DotTTS-MF-GGUF/dots-tts-mf-bf16.gguf"],strip_prefix:"DotTTS-MF-GGUF"}],dependencies:[],ui:{recommended_package:"dots_tts_soar_q8_0",tags:["TTS","Clone","Stream","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",llm_config:"model:llm_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",added_tokens:"model:added_tokens.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{core_weights:{source:"weights:",prefix:"core"},vocoder_weights:{source:"weights:",prefix:"vocoder"},speaker_encoder_weights:{source:"weights:",prefix:"speaker_encoder"},latent_stats:{source:"weights:",prefix:"latent_stats"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",llm_config:"model:llm_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",added_tokens:"model:added_tokens.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{core_weights:{source:"model:model.safetensors"},vocoder_weights:{source:"model:vocoder.safetensors"},speaker_encoder_weights:{source:"model:speaker_encoder.safetensors"},latent_stats:{source:"model:latent_stats.safetensors"}}}]},V_={schema_version:1,family:"dramabox",display_name:"DramaBox",description:"DramaBox is an English expressive TTS and voice-cloning model packaged for audio.cpp as a standalone GGUF bundle. It combines Gemma text conditioning, diffusion sampling, reference-audio conditioning, long-form chunking, and 48 kHz stereo output.",category:"tts",status:"experimental",tasks:["tts","clone"],modes:["offline"],languages:["en"],runtime:{tags:["gguf"]},capabilities:{tts:["speaker_reference","style_control","long_form"],clone:["speaker_reference","style_control","long_form"]},options:{request:[{name:"target_voice",type:"audio_path",description:"Reference voice WAV path for voice cloning. If omitted, DramaBox generates from text without reference-audio conditioning.",required:!1},{name:"negative_prompt",type:"string",description:"Negative text conditioning used when guidance_scale enables classifier-free guidance; omitted uses the built-in quality prompt.",required:!1},{name:"duration_sec",type:"float",description:"Explicit target duration in seconds; default 0 uses the prompt-duration estimator.",required:!1,min:0,default:0},{name:"num_inference_steps",type:"int",description:"Diffusion sampling step count; default comes from config.json, 30 in the current package.",required:!1,min:1,default:30},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale; default comes from config.json, 2.5 in the current package. Values greater than 1 enable CFG.",required:!1,min:0,default:2.5},{name:"spatio_temporal_guidance_scale",type:"float",description:"Spatio-temporal guidance scale; default comes from config.json, 1.5 in the current package. Values greater than 0 enable STG.",required:!1,min:0,default:1.5},{name:"duration_scale",type:"float",description:"Multiplier applied to the estimated prompt duration when duration_sec is 0; default comes from config.json, 1.1 in the current package.",required:!1,min:0,default:1.1},{name:"reference_duration_sec",type:"float",description:"Reference voice crop/repeat duration in seconds; default comes from config.json, 10.0 in the current package.",required:!1,min:0,default:10},{name:"guidance_rescale",type:"string",description:"Guidance rescale value. The default auto mode derives a rescale value from guidance_scale; a numeric string requests an explicit value.",required:!1,default:"auto"},{name:"audio_chunk_threshold_sec",type:"float",description:"Estimated duration threshold that switches a request to long-form chunking; default 45.0 seconds.",required:!1,min:0,default:45},{name:"audio_chunk_duration_sec",type:"float",description:"Target estimated duration for each long-form chunk; default 37.0 seconds.",required:!1,min:0,default:37},{name:"cross_fade_duration_sec",type:"float",description:"Equal-power cross-fade between long-form chunks in seconds; default 0.05.",required:!1,min:0,default:.05},{name:"seed",type:"int",description:"Torch-compatible CUDA noise seed for diffusion sampling; default 42.",required:!1,min:0,default:42}],session:[{name:"perf_mode",type:"enum",description:"Attention implementation mode. Default off keeps the exact reference-query attention path; flash_attention enables the optimized path.",values:["off","flash_attention"],required:!1,default:"off"},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs and weights immediately after each request phase to reduce peak and resident VRAM; default false keeps components cached for later reuse.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"dramabox_q8_0",display_name:"DramaBox Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"DramaBox-GGUF",files:["DramaBox-GGUF/dramabox-q8_0.gguf"],strip_prefix:"DramaBox-GGUF"}],dependencies:[],ui:{recommended_package:"dramabox_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",audio_components_config:"model:audio_components_config.json",gemma_config:"model:gemma-3-12b-it-bnb-4bit/config.json",gemma_tokenizer_model:"model:gemma-3-12b-it-bnb-4bit/tokenizer.model",gemma_tokenizer_json:"model:gemma-3-12b-it-bnb-4bit/tokenizer.json",gemma_tokenizer_config:"model:gemma-3-12b-it-bnb-4bit/tokenizer_config.json"},tensors:{dit_weights:{source:"weights:",prefix:"dit"},audio_weights:{source:"weights:",prefix:"audio"},gemma_weights:{source:"weights:",prefix:"gemma"},silence_latent:{source:"weights:",prefix:"silence"}}}]},I_={family:"fish_audio",display_name:"Fish Audio S2 Pro",description:"Fish Audio S2 Pro text-to-speech model for expressive speech across 80+ languages, with automatic language handling, inline prosody/emotion controls, and rapid voice cloning from short reference samples.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["80+ languages"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"fish_audio_s2_pro_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"fish_audio_s2_pro_q8_0",display_name:"Fish Audio S2 Pro Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Fish-Audio-S2-Pro-GGUF",files:["Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-q8_0.gguf"],strip_prefix:"Fish-Audio-S2-Pro-GGUF"},{id:"fish_audio_s2_pro_bf16",display_name:"Fish Audio S2 Pro BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Fish-Audio-S2-Pro-GGUF",files:["Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-bf16.gguf"],strip_prefix:"Fish-Audio-S2-Pro-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{model_weights:"model:model_audio_cpp.safetensors.index.json",codec_weights:"model:codec.safetensors"}}]},P_={schema_version:1,family:"fun_asr_nano",display_name:"Fun-ASR-Nano",description:"Offline multilingual speech recognition with the FunAudioLLM Fun-ASR-Nano-2512 model.",category:"asr",status:"wip",tasks:["asr"],modes:["offline"],languages:["auto","zh","en","ja"],capabilities:{},options:{request:[{name:"language",type:"string",description:"Recognition language, or auto to let the model infer it.",required:!1,default:"auto"},{name:"enable_itn",type:"bool",description:"Enable inverse text normalization in the transcription prompt.",required:!1,default:!0},{name:"max_tokens",type:"int",description:"Maximum number of generated transcript tokens.",required:!1,min:1,default:512},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode: auto, fixed, or none.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_seconds",type:"float",description:"Fixed chunk duration in seconds.",required:!1,min:.001,default:30}],session:[{name:"weight_type",type:"enum",description:"Shared model weight storage type.",preset:"weight_type_full",required:!1,default:"native"}],load:[]},runtime:{tags:["gguf","server","cuda","metal","cpu"]},packages:[{id:"fun_asr_nano_2512_q8_0",display_name:"Fun-ASR-Nano-2512 Q8_0 GGUF",description:"Standalone audio.cpp GGUF built from the pinned official checkpoint; governed by the FunASR Model Open Source License Agreement v1.1.",default:!0,format:"gguf",precision:"q8_0",target_directory:"Fun-ASR-Nano-2512-GGUF",files:["fun-asr-nano-2512-q8_0.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-GGUF",revision:"ce72677f84900f0dc57f498ace253bfb3c9155b6",gated:!1}},{id:"fun_asr_nano_2512_f16",display_name:"Fun-ASR-Nano-2512 F16 GGUF",description:"Standalone audio.cpp GGUF built from the pinned official checkpoint; governed by the FunASR Model Open Source License Agreement v1.1.",format:"gguf",precision:"f16",target_directory:"Fun-ASR-Nano-2512-GGUF",files:["fun-asr-nano-2512-f16.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-GGUF",revision:"ce72677f84900f0dc57f498ace253bfb3c9155b6",gated:!1}},{id:"fun_asr_nano_2512_safetensors",display_name:"Fun-ASR-Nano-2512 HF Safetensors",description:"Official checkpoint governed by the FunASR Model Open Source License Agreement v1.1.",format:"safetensors",precision:"native",target_directory:"Fun-ASR-Nano-2512-hf",files:["chat_template.jinja","config.json","generation_config.json","model.safetensors","processor_config.json","tokenizer.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/Fun-ASR-Nano-2512-hf",revision:"854d88f94205cd17d2afdb24332130d86fbe654a",gated:!1}}],dependencies:[],ui:{recommended_package:"fun_asr_nano_2512_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"],summary:"Offline Fun-ASR-Nano transcription from official safetensors or audio.cpp GGUF."},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},optional_files:{chat_template_jinja:"model:chat_template.jinja",tokenizer_config:"model:tokenizer_config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},optional_files:{chat_template_jinja:"model:chat_template.jinja",tokenizer_config:"model:tokenizer_config.json"},tensors:{weights:"model:model.safetensors"}}]},L_={schema_version:1,family:"glm_tts",display_name:"GLM-TTS",description:"Community Chinese-English zero-shot speech synthesis and voice cloning with native Llama, Whisper-VQ, Flow/DiT, CAMPPlus, and HiFT execution.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["zh","en"],capabilities:{clone:["speaker_reference"]},options:{request:[{name:"reference_text",type:"string",description:"Transcript matching the reference voice audio; required by GLM-TTS zero-shot synthesis.",required:!0},{name:"max_tokens",type:"int",description:"Maximum generated speech tokens; otherwise the official 2x-to-20x text-token bounds are used.",required:!1,min:0,default:0},{name:"temperature",type:"float",description:"Speech-token temperature; official default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Speech-token top-k; official default 25.",required:!1,min:0,default:25},{name:"top_p",type:"float",description:"Speech-token nucleus threshold; official default 0.8.",required:!1,min:0,max:1,default:.8},{name:"seed",type:"int",description:"Speech-token, Flow-noise, and HiFT seed.",required:!1,min:0,default:0},{name:"num_inference_steps",type:"int",description:"Flow Euler steps; defaults to model config, usually official default 10.",required:!1,min:1},{name:"flow_guidance_scale",type:"float",description:"Flow classifier-free guidance rate; defaults to model config, usually official default 0.7.",required:!1,min:0},{name:"flow_noise_path",type:"path",description:"Optional raw float32 initial Flow noise for parity tests.",required:!1},{name:"hift_source_random_path",type:"path",description:"Optional raw float32 HiFT phase-uniform and Gaussian values for parity tests.",required:!1},{name:"hift_prior_noise_count",type:"int",description:"Torch RNG value offset used before HiFT source generation; default 0.",required:!1,min:0,default:0}],session:[{name:"weight_type",type:"enum",description:"Requested component weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"mem_saver",type:"bool",description:"Release reference-only encoders after caching the voice while keeping the generation path warm; default false.",required:!1,default:!1},{name:"aggressive_mem_saver",type:"bool",description:"Also release Llama, Flow, and HiFT after every stage. Minimizes VRAM but reloads the generation path on every request; default false.",required:!1,default:!1},{name:"reference_cache_slots",type:"int",description:"Prepared reference-audio cache slots; default 1. Use 0 to disable.",required:!1,min:0,default:1},{name:"llama_weight_context_mb",type:"int",description:"Llama weight metadata context in MiB; default 8192.",required:!1,min:1,default:8192},{name:"constant_context_mb",type:"int",description:"Llama constant tensor context in MiB; default 256.",required:!1,min:1,default:256}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{llama_config:"model:llm/config.json",llama_generation_config:"model:llm/generation_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json",speech_tokenizer_preprocessor:"model:speech_tokenizer/preprocessor_config.json",tokenizer_config:"model:vq32k-phoneme-tokenizer/tokenizer_config.json",tokenizer_vocab:"model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",tokenizer_merges:"model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",flow_config:"model:flow/config.yaml",audio_cpp_config:"model:audio_cpp_config.json"},tensors:{llama_weights:{source:"weights:",prefix:"llama_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"},flow_weights:{source:"weights:",prefix:"flow_weights"},hift_weights:{source:"weights:",prefix:"hift_weights"},campplus_weights:{source:"weights:",prefix:"campplus_weights"}}},{format:"safetensors",roots:{model:"."},files:{llama_config:"model:llm/config.json",llama_generation_config:"model:llm/generation_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json",speech_tokenizer_preprocessor:"model:speech_tokenizer/preprocessor_config.json",tokenizer_config:"model:vq32k-phoneme-tokenizer/tokenizer_config.json",tokenizer_vocab:"model:vq32k-phoneme-tokenizer/tokenizer_vocab.json",tokenizer_merges:"model:vq32k-phoneme-tokenizer/tokenizer_merges.txt",flow_config:"model:flow/config.yaml",audio_cpp_config:"model:audio_cpp_config.json"},tensors:{llama_weights:"model:llm/model.safetensors.index.json",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors",flow_weights:"model:flow/model.safetensors",hift_weights:"model:hift/model.safetensors",campplus_weights:"model:frontend/campplus.safetensors"}}],packages:[{id:"glm_tts_q8_0",display_name:"GLM-TTS mixed Q8_0/F16 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"GLM-TTS-Q8",files:["Text to audio (TTS)/GLM-TTS_Q8.gguf"],download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}}],dependencies:[],ui:{recommended_package:"glm_tts_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/glm_tts.md","docs/reports/glm_tts_validation.md","docs/gguf.md"]}},O_={schema_version:1,family:"heartmula",display_name:"HeartMuLa",description:"Open-source music foundation model for generating complete songs from text, lyric prompts, and style tags, with controllable song structure and broad multilingual lyric conditioning.",category:"audio_generation",status:"supported",tasks:["music"],modes:["offline"],languages:["multilingual"],capabilities:{music:["lyrics","style_control"]},options:{request:[{name:"lyrics",type:"string",description:"Lyrics text.",required:!1},{name:"tags",type:"string",description:"Comma-separated music tags.",required:!1},{name:"duration_sec",type:"float",description:"Maximum generated audio duration in seconds; must be positive when set; default 120.",required:!1,min:0,default:120},{name:"temperature",type:"float",description:"Audio-token sampling temperature; must be positive when set; default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Audio-token top-k sampling limit; default 50.",required:!1,min:1,default:50},{name:"guidance_scale",type:"float",description:"MuLa classifier-free guidance scale; must be positive when set; default 1.5.",required:!1,min:0,default:1.5},{name:"codec_duration_sec",type:"float",description:"Codec detokenization chunk duration in seconds; must be positive when set; default 29.76.",required:!1,min:0,default:29.76},{name:"num_inference_steps",type:"int",description:"Codec flow solver steps; default 10.",required:!1,min:1,default:10},{name:"codec_guidance_scale",type:"float",description:"Codec classifier-free guidance scale; must be positive when set; default 1.25.",required:!1,min:0,default:1.25},{name:"infinite_mode",type:"bool",description:"Generate long outputs by splitting lyrics into bounded HeartMuLa requests.",required:!1,default:!1},{name:"text_chunk_size",type:"int",description:"Maximum characters per text chunk in infinite mode; default 4096.",required:!1,min:1,default:4096},{name:"infinite_chunk_audio_duration_ms",type:"int",description:"Maximum generated audio duration per infinite-mode chunk in milliseconds; default 240000.",required:!1,min:1,default:24e4},{name:"seed",type:"int",description:"Generation seed for reproducible output; default 1234.",required:!1,min:0,default:1234}],session:[{name:"weight_type",type:"enum",description:"MuLa and codec weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"generator_weight_type",type:"enum",description:"MuLa music-token generator weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"Codec weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"generator_weight_context_mb",type:"int",description:"MuLa music-token generator weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"codec_weight_context_mb",type:"int",description:"Codec weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"generator_constant_context_mb",type:"int",description:"MuLa music-token generator reusable constant context size in MiB; default 256.",required:!1,min:1,default:256},{name:"backbone_prefill_graph_arena_mb",type:"int",description:"MuLa music-token generator backbone prefill graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"backbone_step_graph_arena_mb",type:"int",description:"MuLa music-token generator backbone cached-step graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"MuLa music-token generator decoder prefill graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_step_graph_arena_mb",type:"int",description:"MuLa music-token generator decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"frame_embedding_graph_arena_mb",type:"int",description:"MuLa music-token generator frame-embedding graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"flow_estimator_graph_arena_mb",type:"int",description:"Codec flow-estimator graph arena size in MiB; default 2048.",required:!1,min:1,default:2048},{name:"conditioning_graph_arena_mb",type:"int",description:"Codec conditioning graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"scalar_decoder_graph_arena_mb",type:"int",description:"Codec scalar-decoder graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs after each request; default false.",required:!1,default:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"heartmula_q8_0",tags:["Music","GGUF"],docs:["docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"heartmula_q8_0",display_name:"HeartMuLa Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"HeartMuLa-GGUF",files:["HeartMuLa-GGUF/heartmula-q8_0.gguf"],strip_prefix:"HeartMuLa-GGUF"},{id:"heartmula_f16",display_name:"HeartMuLa F16 GGUF",format:"gguf",precision:"f16",target_directory:"HeartMuLa-GGUF",files:["HeartMuLa-GGUF/heartmula-f16.gguf"],strip_prefix:"HeartMuLa-GGUF"}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tokenizer_json:"model:tokenizer.json",generation_config:"model:gen_config.json",mula_config:"model:HeartMuLa-oss-3B/config.json",codec_config:"model:HeartCodec-oss/config.json"},tensors:{mula_weights:{source:"weights:",prefix:"mula_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:"."},files:{tokenizer_json:"model:tokenizer.json",generation_config:"model:gen_config.json",mula_config:"model:HeartMuLa-oss-3B/config.json",codec_config:"model:HeartCodec-oss/config.json"},tensors:{mula_weights:"model:HeartMuLa-oss-3B/model.safetensors.index.json",codec_weights:"model:HeartCodec-oss/model.safetensors.index.json"}}]},N_={schema_version:1,family:"higgs_audio_stt",display_name:"Higgs Audio v3 STT",description:"Boson AI English speech-to-text model combining a Whisper Large v3 speech encoder with a Qwen decoder for robust ASR.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["en"],capabilities:{},dependencies:[],options:{request:[{name:"language",type:"string",description:"Transcript language code metadata; English is used when omitted.",required:!1},{name:"max_tokens",type:"int",description:"Maximum generated transcript tokens; default 1024.",required:!1,min:1,default:1024},{name:"enable_thinking",type:"bool",description:"Enable the model thinking prompt; default true.",required:!1,default:!0},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode; default auto uses fixed chunks.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Fixed audio chunk duration in seconds; must be positive when set; default 4.",required:!1,min:0,default:4}],session:[{name:"weight_type",type:"enum",description:"Shared text decoder weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"audio_encoder_weight_type",type:"enum",description:"Audio encoder convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"text_decoder_weight_type",type:"enum",description:"Text decoder matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"audio_encoder_graph_arena_mb",type:"int",description:"Audio encoder graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"text_decoder_prefill_graph_arena_mb",type:"int",description:"Text decoder prefill graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"text_decoder_decode_graph_arena_mb",type:"int",description:"Text decoder cached-step graph arena size in MiB; default 256.",required:!1,min:0,default:256},{name:"text_decoder_weight_context_mb",type:"int",description:"Text decoder weight context arena size in MiB; default 4096.",required:!1,min:0,default:4096}],load:[]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"higgs_audio_stt_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"higgs_audio_stt_q8_0",display_name:"Higgs Audio v3 STT Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Higgs-Audio-v3-STT-GGUF",files:["Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-q8_0.gguf"],strip_prefix:"Higgs-Audio-v3-STT-GGUF"},{id:"higgs_audio_stt_f16",display_name:"Higgs Audio v3 STT F16 GGUF",format:"gguf",precision:"f16",target_directory:"Higgs-Audio-v3-STT-GGUF",files:["Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-f16.gguf"],strip_prefix:"Higgs-Audio-v3-STT-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:".",whisper:"../whisper-large-v3"},files:{config:"model:config.json",generation_config:"model:generation_config.json",preprocessor_config:"whisper:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},tensors:{weights:"model:model.safetensors.index.json"}}]},H_={family:"higgs_audio_tts",display_name:"Higgs Audio v3 TTS",description:"Boson AI conversational TTS model for expressive speech across 100+ languages, zero-shot voice cloning, and inline control over emotion, style, prosody, pauses, and sound effects.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["100+ languages"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"higgs_audio_tts_4b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"higgs_audio_tts_4b_q8_0",display_name:"Higgs Audio v3 TTS 4B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Higgs-Audio-v3-TTS-4B-GGUF",files:["Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-q8_0.gguf"],strip_prefix:"Higgs-Audio-v3-TTS-4B-GGUF"},{id:"higgs_audio_tts_4b_bf16",display_name:"Higgs Audio v3 TTS 4B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Higgs-Audio-v3-TTS-4B-GGUF",files:["Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-bf16.gguf"],strip_prefix:"Higgs-Audio-v3-TTS-4B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja"},tensors:{weights:"model:model.safetensors.index.json"}}]},Q_={schema_version:1,family:"htdemucs",display_name:"HTDemucs",description:"Hybrid Transformer Demucs music source-separation model that combines waveform and spectrogram processing with Transformer layers to split mixtures into vocals, drums, bass, and accompaniment.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"HTDemucs weight storage type; default is f32 for host graph planning, f16 on CUDA, otherwise native.",preset:"weight_type_full",required:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"htdemucs_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"htdemucs_q8_0",display_name:"HTDemucs Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"HTDemucs-GGUF",files:["HTDemucs-GGUF/htdemucs-q8_0.gguf"],strip_prefix:"HTDemucs-GGUF"},{id:"htdemucs_f16",display_name:"HTDemucs F16 GGUF",format:"gguf",precision:"f16",target_directory:"HTDemucs-GGUF",files:["HTDemucs-GGUF/htdemucs-f16.gguf"],strip_prefix:"HTDemucs-GGUF"}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{manifest:"model:manifest.json",submodel_config:"model:955717e8/config.json"},tensors:{submodel_weights:{source:"weights:",prefix:"submodel_weights"}}},{format:"safetensors",roots:{model:".",submodel:"955717e8"},files:{manifest:"model:manifest.json",submodel_config:"submodel:config.json"},tensors:{submodel_weights:"submodel:model.safetensors"}}]},J_={family:"hviske_asr",schema_version:1,display_name:"Hviske ASR",description:"Danish-optimized Conformer encoder-decoder ASR model fine-tuned from the Hviske v5 family, with selectable Cohere ASR language prompts.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["ar","da","de","el","en","es","fr","it","ja","ko","nl","pl","pt","vi","zh"],capabilities:{},dependencies:[],options:{request:[{name:"language",type:"string",description:"ASR language code; default da.",required:!1,default:"da"},{name:"punctuation",type:"bool",description:"Enable or disable punctuation tokens in the decoder prompt; default true.",required:!1,default:!0},{name:"max_tokens",type:"int",description:"Maximum generated transcript tokens; defaults to the model config.",required:!1,min:1},{name:"num_beams",type:"int",description:"Beam-search beam count; default 1 uses greedy or sampling decode.",required:!1,min:1,default:1},{name:"length_penalty",type:"float",description:"Beam-search length penalty; must be positive when set; default 1.0.",required:!1,min:1e-6,default:1},{name:"do_sample",type:"bool",description:"Enable sampling instead of greedy decode when num_beams is 1; default false.",required:!1,default:!1},{name:"temperature",type:"float",description:"Decoder sampling temperature; must be positive when set; default 1.0.",required:!1,min:1e-6,default:1},{name:"top_k",type:"int",description:"Top-k sampling limit; default 50, 0 disables top-k.",required:!1,min:0,default:50},{name:"top_p",type:"float",description:"Nucleus sampling limit in (0, 1]; default 1.0.",required:!1,min:1e-6,max:1,default:1},{name:"seed",type:"int",description:"Decoder sampling seed; random if omitted.",required:!1,min:0},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode; default auto uses quiet-energy splitting only when audio exceeds the model clip window.",values:["auto","fixed","quiet_energy","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Maximum audio chunk duration in seconds; defaults to the model clip window.",required:!1,min:1e-6}],session:[{name:"weight_type",type:"enum",description:"Matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_conv",required:!1},{name:"weight_context_mb",type:"int",description:"Weight descriptor context size in MiB; default 32.",required:!1,min:1,default:32},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"Decoder prefill graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"decoder_decode_graph_arena_mb",type:"int",description:"Decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"hviske_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},packages:[{id:"hviske_asr_q8_0",display_name:"Hviske v5.3 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Hviske-v5.3-GGUF",files:["Audio to text (ASR)/hviske-v5.3_Q8.gguf"],strip_prefix:"Audio to text (ASR)",download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}},{id:"hviske_asr_safetensors",display_name:"Hviske v5.3 Safetensors",format:"safetensors",precision:"native",target_directory:"hviske-v5.3",files:["config.json","generation_config.json","model.safetensors","tokenizer.model"],download:{kind:"huggingface_snapshot",repo:"syvai/hviske-v5.3"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.model"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.model"},tensors:{weights:"model:model.safetensors"}}]},W_={family:"index_tts2",display_name:"IndexTTS2",description:"Zero-shot TTS system with voice cloning, emotion-speaker decoupling, text or audio emotion control, and explicit duration control. Variant v2 covers Chinese and English; variant v2.5 (config version 2.5) adds multilingual tiktoken tokenization with Japanese, Spanish and Arabic support.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["zh","en","ja","es","ar"],capabilities:{tts:["emotion_control"],clone:["speaker_reference","emotion_control"]},runtime:{tags:["gguf"]},ui:{recommended_package:"index_tts2_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"index_tts2_q8_0",display_name:"IndexTTS2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-q8_0.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_f16",display_name:"IndexTTS2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-f16.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_orig",display_name:"IndexTTS2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"IndexTTS2-GGUF",files:["IndexTTS2-GGUF/index-tts2-orig.gguf"],strip_prefix:"IndexTTS2-GGUF"},{id:"index_tts2_safetensors",display_name:"IndexTTS2 Safetensors",format:"safetensors",precision:"native",target_directory:"IndexTTS-2",files:["config.yaml","bpe.model","gpt.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/index-tts2-mlx"}},{id:"index_tts2_5_q8_0",display_name:"IndexTTS2.5 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-q8_0.gguf"],strip_prefix:"IndexTTS2.5-GGUF"},{id:"index_tts2_5_f16",display_name:"IndexTTS2.5 F16 GGUF",format:"gguf",precision:"f16",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-f16.gguf"],strip_prefix:"IndexTTS2.5-GGUF"},{id:"index_tts2_5_orig",display_name:"IndexTTS2.5 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"IndexTTS2.5-GGUF",files:["IndexTTS2.5-GGUF/index-tts2_5-orig.gguf"],strip_prefix:"IndexTTS2.5-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.yaml",wav2vec2bert_config:"model:w2v-bert-2.0/config.json",wav2vec2bert_preprocessor_config:"model:w2v-bert-2.0/preprocessor_config.json",bigvgan_config:"model:bigvgan/config.json",qwen_emotion_config:"model:qwen0.6bemo4-merge/config.json",qwen_emotion_generation_config:"model:qwen0.6bemo4-merge/generation_config.json",qwen_emotion_tokenizer:"model:qwen0.6bemo4-merge/tokenizer.json",qwen_emotion_tokenizer_config:"model:qwen0.6bemo4-merge/tokenizer_config.json",qwen_emotion_vocab:"model:qwen0.6bemo4-merge/vocab.json",qwen_emotion_merges:"model:qwen0.6bemo4-merge/merges.txt"},optional_files:{bpe:"model:bpe.model",tiktoken:"model:multilingual_zh_ja_yue_char_del.tiktoken"},tensors:{gpt:{source:"weights:",prefix:"gpt"},s2mel:{source:"weights:",prefix:"s2mel"},speaker_matrix:{source:"weights:",prefix:"speaker_matrix"},emotion_matrix:{source:"weights:",prefix:"emotion_matrix"},wav2vec2bert_stats:{source:"weights:",prefix:"wav2vec2bert_stats"},wav2vec2bert:{source:"weights:",prefix:"wav2vec2bert"},semantic_codec:{source:"weights:",prefix:"semantic_codec"},campplus:{source:"weights:",prefix:"campplus"},bigvgan:{source:"weights:",prefix:"bigvgan"},qwen_emotion:{source:"weights:",prefix:"qwen_emotion"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.yaml",wav2vec2bert_config:"model:w2v-bert-2.0/config.json",wav2vec2bert_preprocessor_config:"model:w2v-bert-2.0/preprocessor_config.json",bigvgan_config:"model:bigvgan/config.json",qwen_emotion_config:"model:qwen0.6bemo4-merge/config.json",qwen_emotion_generation_config:"model:qwen0.6bemo4-merge/generation_config.json",qwen_emotion_tokenizer:"model:qwen0.6bemo4-merge/tokenizer.json",qwen_emotion_tokenizer_config:"model:qwen0.6bemo4-merge/tokenizer_config.json",qwen_emotion_vocab:"model:qwen0.6bemo4-merge/vocab.json",qwen_emotion_merges:"model:qwen0.6bemo4-merge/merges.txt"},optional_files:{bpe:"model:bpe.model",tiktoken:"model:multilingual_zh_ja_yue_char_del.tiktoken"},tensors:{gpt:"model:gpt.safetensors",s2mel:"model:s2mel.safetensors",speaker_matrix:"model:feat1.safetensors",emotion_matrix:"model:feat2.safetensors",wav2vec2bert_stats:"model:wav2vec2bert_stats.safetensors",wav2vec2bert:"model:w2v-bert-2.0/model.safetensors",semantic_codec:"model:semantic_codec_model.safetensors",campplus:"model:campplus.safetensors",bigvgan:"model:bigvgan/model.safetensors",qwen_emotion:"model:qwen0.6bemo4-merge/model.safetensors"}}]},K_={schema_version:1,family:"inflect_v2",display_name:"Inflect Micro v2",description:"Compact English VITS text-to-speech models with a native GGML inference path and an external eSpeak-ng phonemizer.",category:"tts",status:"community",tasks:["tts"],modes:["offline"],languages:["en"],runtime:{tags:["gguf"]},capabilities:{tts:["long_form"]},options:{request:[{name:"speaking_rate",type:"float",description:"Speech speed multiplier mapped directly to Inflect speed; default 1.0.",required:!1,min:.5,max:2,default:1},{name:"variation",type:"float",description:"Latent Gaussian variation; default 0.667.",required:!1,min:0,max:1,default:.667},{name:"seed",type:"int",description:"Non-negative latent noise seed; default 0.",required:!1,min:0,default:0},{name:"text_chunk_mode",type:"enum",description:"Long-form text chunking mode.",values:["word_budget"],required:!1,default:"word_budget"},{name:"text_chunk_size",type:"int",description:"Maximum Unicode codepoints per long-form text chunk; default 280.",required:!1,min:1,default:280}],session:[{name:"espeak_library_path",type:"path",description:"Optional explicit path to the eSpeak-ng shared library.",required:!1},{name:"espeak_data_path",type:"path",description:"Optional explicit path to the directory containing espeak-ng-data.",required:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"inflect_micro_v2_orig",display_name:"Inflect Micro v2 Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Inflect-Micro-v2-GGUF",files:["Inflect-Micro-v2-GGUF/inflect-micro-v2-orig.gguf"],strip_prefix:"Inflect-Micro-v2-GGUF"}],dependencies:[],ui:{recommended_package:"inflect_micro_v2_orig",tags:["TTS","GGUF"],docs:["docs/tts.md","docs/community_models/inflect_v2.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},X_={schema_version:1,family:"irodori_tts",display_name:"Irodori-TTS",description:"Japanese TTS model based on RF-DiT continuous audio latents, supporting zero-shot voice cloning, automatic duration prediction, multimodal voice design, and emoji-style control.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline"],languages:["ja"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},options:{request:[{name:"language",type:"string",description:"Text language code; Irodori-TTS supports Japanese only.",required:!1,default:"ja"},{name:"instruction",type:"string",description:"Natural-language voice or style instruction describing target voice identity, style, or emotion; supported only by caption-conditioned checkpoints. Legacy caption is accepted as an alias.",required:!1},{name:"no_ref",type:"bool",description:"Use no-reference generation; default true unless a speaker reference is provided.",required:!1,default:!0},{name:"num_inference_steps",type:"int",description:"RF diffusion steps; default 40.",required:!1,min:1,default:40},{name:"duration_sec",type:"float",description:"Explicit output duration in seconds; must be positive when set, otherwise predicted duration is used.",required:!1,min:0},{name:"duration_scale",type:"float",description:"Predicted-duration multiplier; must be positive when set; default 1.0.",required:!1,min:0,default:1},{name:"text_chunk_mode",type:"enum",description:"Text chunking mode; default endline.",values:["japanese","endline"],required:!1,default:"endline"},{name:"text_chunk_size",type:"int",description:"Maximum characters per text chunk; default uses the model text-token window.",required:!1,min:1},{name:"min_duration_sec",type:"float",description:"Minimum generated duration in seconds; must be positive and no greater than max_duration_sec; default 0.5.",required:!1,min:0,default:.5},{name:"max_duration_sec",type:"float",description:"Maximum generated duration in seconds; must be at least min_duration_sec; default 30.",required:!1,min:0,default:30},{name:"text_guidance_scale",type:"float",description:"Text classifier-free guidance scale; default 3.0.",required:!1,min:0,default:3},{name:"speaker_guidance_scale",type:"float",description:"Speaker classifier-free guidance scale; default 5.0.",required:!1,min:0,default:5},{name:"caption_guidance_scale",type:"float",description:"Caption classifier-free guidance scale; default 3.0.",required:!1,min:0,default:3},{name:"guidance_scale",type:"float",description:"Override all classifier-free guidance scales when set.",required:!1,min:0},{name:"guidance_mode",type:"enum",description:"Classifier-free guidance combination mode; default independent.",values:["independent","joint","alternating"],required:!1,default:"independent"},{name:"guidance_min_t",type:"float",description:"Minimum diffusion timestep value where guidance is active; default 0.5.",required:!1,min:0,default:.5},{name:"guidance_max_t",type:"float",description:"Maximum diffusion timestep value where guidance is active; default 1.0.",required:!1,min:0,default:1},{name:"seed",type:"int",description:"Generation seed for reproducible output; omitted uses a random seed.",required:!1,min:0},{name:"trim_tail",type:"bool",description:"Trim trailing silence-like samples; default true.",required:!1,default:!0}],session:[{name:"weight_type",type:"enum",description:"Model weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"codec_weight_type",type:"enum",description:"DACVAE codec weight storage type; default native.",preset:"weight_type_codec_q8",required:!1,default:"native"},{name:"codec_backend",type:"enum",description:"DACVAE codec execution backend. Use cpu as an opt-in workaround for backend-specific codec decoder issues; default same.",values:["same","cpu"],required:!1,default:"same"},{name:"condition_graph_arena_mb",type:"int",description:"Condition encoder graph arena size in MiB; default 256.",required:!1,min:0,default:256},{name:"rf_graph_arena_mb",type:"int",description:"RF sampler graph arena size in MiB; default 768.",required:!1,min:0,default:768},{name:"codec_graph_arena_mb",type:"int",description:"DACVAE codec graph arena size in MiB; default 512.",required:!1,min:0,default:512},{name:"condition_weight_context_mb",type:"int",description:"Condition encoder weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"rf_weight_context_mb",type:"int",description:"RF sampler weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"codec_weight_context_mb",type:"int",description:"DACVAE codec weight context size in MiB; default 32.",required:!1,min:0,default:32},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs after request phases; default true.",required:!1,default:!0},{name:"reference_cache_slots",type:"int",description:"Prepared reference-speaker cache slots; default 1.",required:!1,min:0,default:1}],load:[]},dependencies:[],runtime:{tags:["gguf"]},ui:{recommended_package:"irodori_tts_v4_small_q8_0",tags:["TTS","Clone","Design","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"irodori_tts_v4_small_q8_0",display_name:"Irodori-TTS v4 Small Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-v4-Small-GGUF",files:["Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf"],strip_prefix:"Irodori-TTS-v4-Small-GGUF"},{id:"irodori_tts_v4_small_f16",display_name:"Irodori-TTS v4 Small F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-v4-Small-GGUF",files:["Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf"],strip_prefix:"Irodori-TTS-v4-Small-GGUF"},{id:"irodori_tts_600m_v3_voicedesign_q8_0",display_name:"Irodori-TTS 600M v3 VoiceDesign Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-600M-v3-VoiceDesign-GGUF",files:["Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-q8_0.gguf"],strip_prefix:"Irodori-TTS-600M-v3-VoiceDesign-GGUF"},{id:"irodori_tts_600m_v3_voicedesign_f16",display_name:"Irodori-TTS 600M v3 VoiceDesign F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-600M-v3-VoiceDesign-GGUF",files:["Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-f16.gguf"],strip_prefix:"Irodori-TTS-600M-v3-VoiceDesign-GGUF"},{id:"irodori_tts_500m_v3_q8_0",display_name:"Irodori-TTS 500M v3 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Irodori-TTS-500M-v3-GGUF",files:["Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-q8_0.gguf"],strip_prefix:"Irodori-TTS-500M-v3-GGUF"},{id:"irodori_tts_500m_v3_f16",display_name:"Irodori-TTS 500M v3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Irodori-TTS-500M-v3-GGUF",files:["Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-f16.gguf"],strip_prefix:"Irodori-TTS-500M-v3-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{model_config:"model:model_config.json"},optional_files:{tokenizer_json:"model:tokenizer.json",tokenizer_v4_json:"model:tokenizer/tokenizer.json",pretrained_text_config:"model:text_encoder_config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},codec_weights:{source:"weights:",prefix:"codec_weights"}}},{format:"safetensors",roots:{model:".",tokenizer:"../llm-jp-3-150m",codec:"../Semantic-DACVAE-Japanese-32dim"},files:{model_config:"model:model_config.json"},optional_files:{tokenizer_json:"tokenizer:tokenizer.json",tokenizer_v4_json:"model:tokenizer/tokenizer.json",pretrained_text_config:"model:text_encoder_config.json"},tensors:{model_weights:"model:model.safetensors",codec_weights:"codec:weights.safetensors"}}]},Z_={schema_version:1,family:"kroko_asr",display_name:"Kroko Community ASR",description:"Native Zipformer2 RNN-T transcription for the public free Kroko Community single-language packages, with offline and stateful streaming inference, greedy and modified beam decoding, hotwords, endpoint segments, partial results, and word timestamps.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["de","en","es","fr","it","he","nl","pt","sv","tr"],capabilities:{asr:["word_timestamps","partial_results","segments"]},options:{request:[{name:"language",type:"string",description:"Language code matching the selected single-language Kroko package; default auto uses the package language.",required:!1,default:"auto"},{name:"decoding_method",type:"enum",description:"RNN-T decoding method; greedy search remains the parity-tested default.",values:["greedy_search","modified_beam_search"],required:!1,default:"greedy_search"},{name:"num_beams",type:"int",description:"Maximum active hypotheses retained by modified beam search.",required:!1,min:1,max:64,default:4},{name:"blank_penalty",type:"float",description:"Non-negative score subtracted from the RNN-T blank logit.",required:!1,min:0,default:0},{name:"hotwords",type:"string",description:"Slash- or newline-separated natural-text phrases; requires modified beam search.",required:!1},{name:"hotwords_score",type:"float",description:"Non-negative per-token context boost for hotword phrases.",required:!1,min:0,default:1.5},{name:"enable_endpoint",type:"bool",description:"Enable automatic endpoint speech segments.",required:!1,default:!1},{name:"rule1_min_trailing_silence_sec",type:"float",description:"Endpoint timeout in seconds even when no speech token was decoded.",required:!1,min:0,default:2.4},{name:"rule2_min_trailing_silence_sec",type:"float",description:"Endpoint silence in seconds after a speech token was decoded.",required:!1,min:0,default:1.2},{name:"rule3_min_utterance_length_sec",type:"float",description:"Maximum utterance duration in seconds before an endpoint.",required:!1,min:0,default:20}],session:[],load:[]},runtime:{tags:["gguf","stream"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokens:"model:tokens.txt"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokens:"model:tokens.txt"},tensors:{weights:"model:model.safetensors"}}],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"kroko_asr_community_q8_0",display_name:"Kroko Community ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Kroko-ASR-GGUF",files:["Kroko-ASR-GGUF/kroko-en-community-64-l-q8_0.gguf"],strip_prefix:"Kroko-ASR-GGUF"}],dependencies:[],ui:{recommended_package:"kroko_asr_community_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/community_models/kroko_asr.md","docs/gguf.md"]}},Y_={schema_version:1,family:"mel_band_roformer",display_name:"Mel-Band RoFormer",description:"Music source-separation model that uses mel-scaled overlapping frequency bands and RoFormer attention to estimate stems such as vocals, drums, and accompaniment.",category:"audio_tools",status:"supported",tasks:["sep"],modes:["offline"],languages:["language_agnostic"],capabilities:{sep:["stems"]},options:{request:[],session:[{name:"weight_type",type:"enum",description:"RoFormer weight storage type. Defaults to f32 when the backend requires a host graph plan, otherwise native.",preset:"weight_type_full",required:!1},{name:"num_overlap",type:"int",description:"Number of overlapping inference windows; defaults to the package configuration. Lower values improve throughput but can reduce boundary quality.",required:!1,min:1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"mel_band_roformer_q8_0",tags:["Sep","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"mel_band_roformer_q8_0",display_name:"Mel-Band RoFormer Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Mel-Band-RoFormer-GGUF",files:["Mel-Band-RoFormer-GGUF/mel-band-roformer-q8_0.gguf"],strip_prefix:"Mel-Band-RoFormer-GGUF"},{id:"mel_band_roformer_f16",display_name:"Mel-Band RoFormer F16 GGUF",format:"gguf",precision:"f16",target_directory:"Mel-Band-RoFormer-GGUF",files:["Mel-Band-RoFormer-GGUF/mel-band-roformer-f16.gguf"],strip_prefix:"Mel-Band-RoFormer-GGUF"},{id:"mel_band_roformer_safetensors",display_name:"Mel RoFormer Safetensors",format:"safetensors",precision:"native",target_directory:"mel-roformer-mlx",files:["config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/mel-roformer-mlx"}}],dependencies:[],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},eg={schema_version:1,family:"minimax_h3",display_name:"MiniMax-H3",description:"MiniMax-H3 text-to-audio/video generation through the official T2VA pipeline: Qwen3-VL text conditioning, joint audio/video DiT denoising, and MiniMax-H3 audio/video VAE decode.",category:"audio_generation",status:"experimental",tasks:["tts","music","sfx"],modes:["offline"],languages:["auto"],capabilities:{tts:["style_control","multi_speaker"],music:["instrumental","style_control"],sfx:["prompt_generation"]},runtime:{tags:["cuda","gguf"]},ui:{recommended_package:"minimax_h3_q4_k",tags:["TTS","Music","SFX","GGUF"],docs:["docs/community_models/minimax_h3.md","docs/reports/minimax_h3_performance.md"]},options:{request:[{name:"num_inference_steps",type:"int",description:"Joint DiT denoising steps.",required:!1,min:1,default:50},{name:"seed",type:"int",description:"Generation seed for deterministic initial latents.",required:!1,min:0,default:42},{name:"height",type:"int",description:"Target video canvas height used by the joint T2VA latent layout.",required:!1,min:32,default:768},{name:"width",type:"int",description:"Target video canvas width used by the joint T2VA latent layout.",required:!1,min:32,default:1344},{name:"num_frames",type:"int",description:"Target video frame count before H3 alignment. MiniMax-H3 video is 24 fps.",required:!1,min:5,default:124},{name:"guidance_scale",type:"float",description:"Classifier-free guidance scale; 1.0 matches the baseline T2VA audio run.",required:!1,min:0,default:1},{name:"sampler",type:"enum",description:"Joint DiT sampler: euler, res_multistep, dpmpp_2m, or unipc.",values:["euler","res_multistep","dpmpp_2m","unipc"],required:!1,default:"euler"},{name:"negative_prompt",type:"string",description:"Negative prompt used by classifier-free guidance when guidance_scale is not 1.0.",required:!1,default:" "},{name:"flow_shift",type:"float",description:"Video FlowMatch scheduler shift.",required:!1,default:12},{name:"audio_flow_shift",type:"float",description:"Audio FlowMatch scheduler shift.",required:!1,default:3},{name:"return_video",type:"bool",description:"Decode and return RGB24 video frames as an output artifact.",required:!1,default:!1},{name:"text_layerwise",type:"bool",description:"Run the prompt encoder with scoped layer-group weights instead of a full prompt encoder weight store.",required:!1,default:!1},{name:"text_layerwise_batch",type:"int",description:"Prompt encoder layer-group size when text_layerwise is enabled.",required:!1,min:1,default:1},{name:"dit_layerwise",type:"bool",description:"Run the DiT denoiser with scoped prelude, block-group, and final weights instead of a full DiT weight store.",required:!1,default:!1},{name:"dit_layerwise_batch",type:"int",description:"DiT block-group size when dit_layerwise is enabled.",required:!1,min:1,default:1},{name:"dit_mlp_chunk_tokens",type:"int",description:"Token chunk size for the per-token DiT MLP in layerwise high-resolution mode. Zero disables chunking.",required:!1,min:0,default:0},{name:"dit_acceleration",type:"string",description:"Optional DiT acceleration mode: none, first_block_cache, or spectrum.",required:!1,default:"none"},{name:"first_block_cache_threshold",type:"float",description:"First-block cache residual-difference threshold.",required:!1,min:0,default:.1},{name:"first_block_cache_start_sigma",type:"float",description:"Largest video sigma where first-block cache may be used.",required:!1,default:.95},{name:"first_block_cache_end_sigma",type:"float",description:"Smallest video sigma where first-block cache may be used.",required:!1,default:.1},{name:"first_block_cache_max_consecutive",type:"int",description:"Maximum consecutive first-block cache hits before forcing a full DiT step.",required:!1,min:1,default:2},{name:"spectrum_warmup_steps",type:"int",description:"Full DiT warmup steps before spectrum forecasting may skip steps.",required:!1,min:1,default:1},{name:"spectrum_initial_window",type:"float",description:"Initial spectrum forecast scheduling window.",required:!1,min:1,default:2},{name:"spectrum_flex_window",type:"float",description:"Spectrum forecast window growth after actual DiT steps.",required:!1,min:0,default:.75},{name:"spectrum_degree",type:"int",description:"Chebyshev polynomial degree for spectrum forecasting.",required:!1,min:0,default:1},{name:"spectrum_history_size",type:"int",description:"Maximum spectrum forecast history rows.",required:!1,min:1,default:8},{name:"spectrum_ridge_lambda",type:"float",description:"Ridge regularization for spectrum forecasting.",required:!1,min:0,default:.1}],session:[{name:"weight_context_mb",type:"int",description:"MiniMax-H3 staged weight context size in MiB.",required:!1,min:1,default:512},{name:"mem_saver",type:"bool",description:"Release staged DiT, audio VAE, and video VAE weights after their request phase instead of keeping them resident for the session. Prompt encoder weights are always request-scoped.",required:!1,default:!0}],load:[]},dependencies:[],package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"minimax_h3_q4_k",display_name:"MiniMax-H3 Q4_K GGUF",default:!0,format:"gguf",precision:"q4_k",target_directory:"MiniMax-H3-Q4-GGUF",files:["MiniMax-H3-Q4-GGUF/configuration.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/chat_template.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/merges.txt","MiniMax-H3-Q4-GGUF/FL2VA/processor/preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/video_preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/vocab.json","MiniMax-H3-Q4-GGUF/text_encoder_q4_k.gguf","MiniMax-H3-Q4-GGUF/dit.gguf","MiniMax-H3-Q4-GGUF/audio_vae_folded_f16.gguf","MiniMax-H3-Q4-GGUF/video_vae.gguf"],strip_prefix:"MiniMax-H3-Q4-GGUF"},{id:"minimax_h3_q4_k_int8_dit",display_name:"MiniMax-H3 Q4_K GGUF + INT8 ConvRot DiT",default:!1,format:"gguf",precision:"q4_k",target_directory:"MiniMax-H3-Q4-GGUF",files:["MiniMax-H3-Q4-GGUF/configuration.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/chat_template.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/merges.txt","MiniMax-H3-Q4-GGUF/FL2VA/processor/preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/tokenizer_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/video_preprocessor_config.json","MiniMax-H3-Q4-GGUF/FL2VA/processor/vocab.json","MiniMax-H3-Q4-GGUF/text_encoder_q4_k.gguf","MiniMax-H3-Q4-GGUF/dit_int8.gguf","MiniMax-H3-Q4-GGUF/audio_vae_folded_f16.gguf","MiniMax-H3-Q4-GGUF/video_vae.gguf"],strip_prefix:"MiniMax-H3-Q4-GGUF"}],sources:[{format:"gguf",roots:{model:"."},files:{configuration:"model:configuration.json",tokenizer_config:"model:FL2VA/processor/tokenizer_config.json",tokenizer_json:"model:FL2VA/processor/tokenizer.json",vocab:"model:FL2VA/processor/vocab.json",merges:"model:FL2VA/processor/merges.txt",preprocessor_config:"model:FL2VA/processor/preprocessor_config.json"},tensors:{text_encoder_weights:"model:text_encoder_q4_k.gguf",dit_weights:"model:dit.gguf",audio_vae_weights:"model:audio_vae_folded_f16.gguf",video_vae_weights:"model:video_vae.gguf"}}]},tg={family:"miocodec",display_name:"MioCodec",description:"Lightweight neural audio codec that encodes 44.1 kHz audio into a low-rate 25 Hz discrete token stream and decodes tokens with speaker conditioning for efficient speech modeling.",category:"audio_tools",status:"supported",tasks:["codec","vc","s2s"],modes:["offline"],languages:["language_agnostic"],capabilities:{codec:["encode_decode"],vc:["speaker_reference"],s2s:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"miocodec_q8_0",tags:["Codec","VC","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"miocodec_q8_0",display_name:"MioCodec 25Hz 44.1kHz v2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-q8_0.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"},{id:"miocodec_f16",display_name:"MioCodec 25Hz 44.1kHz v2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-f16.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"},{id:"miocodec_orig",display_name:"MioCodec 25Hz 44.1kHz v2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"MioCodec-25Hz-44.1kHz-v2-GGUF",files:["MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-orig.gguf"],strip_prefix:"MioCodec-25Hz-44.1kHz-v2-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.yaml"},tensors:{weights:{source:"weights:",prefix:"weights"},wavlm_weights:{source:"weights:",prefix:"wavlm_weights"}}},{format:"safetensors",roots:{model:".",wavlm:"wavlm-base-plus-mlx"},files:{config:"model:config.yaml"},tensors:{weights:"model:model.safetensors",wavlm_weights:"wavlm:weights.safetensors"}}]},ig={family:"miotts",display_name:"MioTTS",description:"Lightweight LLM-based English and Japanese TTS family built on MioCodec, supporting low-latency speech generation and zero-shot voice cloning from short reference audio.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["en","ja"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"miotts_1_7b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"miotts_1_7b_q8_0",display_name:"MioTTS 1.7B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-q8_0.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"},{id:"miotts_1_7b_bf16",display_name:"MioTTS 1.7B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-bf16.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"},{id:"miotts_1_7b_orig",display_name:"MioTTS 1.7B Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"MioTTS-1.7B-GGUF",files:["MioTTS-1.7B-GGUF/miotts-1.7b-orig.gguf"],strip_prefix:"MioTTS-1.7B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},optional_files:{tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt"},optional_files:{tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},og={family:"moss_tts_local",display_name:"MOSS-TTS-Local",description:"Flagship MOSS-TTS model for high-fidelity 31-language and code-switched speech, zero-shot voice cloning, long-form generation, and fine-grained Pinyin, phoneme, and duration control.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["ar","cs","da","de","el","en","es","fa","fi","fr","he","hi","hu","it","ja","ko","mk","ms","nl","pl","pt","ro","ru","sv","sw","th","tl","tr","vi","yue","zh"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"moss_tts_local_v1_5_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/models/moss_tts.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"moss_tts_local_v1_5_q8_0",display_name:"MOSS-TTS-Local v1.5 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MOSS-TTS-Local-v1.5-GGUF",files:["MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-q8_0.gguf"],strip_prefix:"MOSS-TTS-Local-v1.5-GGUF"},{id:"moss_tts_local_v1_5_bf16",display_name:"MOSS-TTS-Local v1.5 BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MOSS-TTS-Local-v1.5-GGUF",files:["MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-bf16.gguf"],strip_prefix:"MOSS-TTS-Local-v1.5-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt",audio_tokenizer_config:"model:audio_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:".",audio_tokenizer:"audio_tokenizer"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt",audio_tokenizer_config:"audio_tokenizer:config.json"},tensors:{model_weights:"model:model.safetensors",audio_tokenizer_weights:"audio_tokenizer:model.safetensors.index.json"}}]},ng={family:"moss_tts_nano",display_name:"MOSS-TTS-Nano",description:"Compact deployment-first MOSS-TTS model for real-time multilingual speech generation, lightweight integration, and zero-shot voice cloning.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["ar","cs","da","de","el","en","es","fa","fr","hu","it","ja","ko","pl","pt","ru","sv","tr","zh"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"moss_tts_nano_100m_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/models/moss_tts.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"moss_tts_nano_100m_q8_0",display_name:"MOSS-TTS-Nano 100M Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"MOSS-TTS-Nano-100M-GGUF",files:["MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-q8_0.gguf"],strip_prefix:"MOSS-TTS-Nano-100M-GGUF"},{id:"moss_tts_nano_100m_bf16",display_name:"MOSS-TTS-Nano 100M BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"MOSS-TTS-Nano-100M-GGUF",files:["MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-bf16.gguf"],strip_prefix:"MOSS-TTS-Nano-100M-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_model:"model:tokenizer.model",audio_tokenizer_config:"model:audio_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:".",audio_tokenizer:"audio_tokenizer"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_model:"model:tokenizer.model",audio_tokenizer_config:"audio_tokenizer:config.json"},tensors:{model_weights:"model:model.safetensors",audio_tokenizer_weights:"audio_tokenizer:model.safetensors.index.json"}}]},sg={schema_version:1,family:"muscriptor",display_name:"MuScriptor",description:"MuScriptor is an audio-to-symbolic model that converts music audio into symbolic note events or MIDI files, with instrument constraints, sampling, beam search, batch chunk decoding, and streaming final-result output.",category:"audio_tools",status:"supported",tasks:["midi"],modes:["offline","streaming"],languages:["music"],runtime:{tags:["gguf","stream"]},capabilities:{},options:{request:[{name:"instruments",type:"string",description:"Comma-separated instrument group names to constrain generated MIDI events; empty allows all instruments.",required:!1,default:""},{name:"output_format",type:"enum",description:"Primary output serialization written by --out; midi writes a MIDI file, json writes generated note events. Default midi.",values:["midi","json"],required:!1,default:"midi"},{name:"max_tokens",type:"int",description:"Maximum generated MIDI-event token count per chunk; default 2000.",required:!1,min:1,default:2e3},{name:"do_sample",type:"bool",description:"Use temperature sampling instead of greedy token selection; default false.",required:!1,default:!1},{name:"temperature",type:"float",description:"Sampling temperature when do_sample=true; 0 is accepted for compatibility and behaves deterministically, default 1.0.",required:!1,min:0,default:1},{name:"guidance_scale",type:"float",description:"Classifier-free guidance coefficient; 1 disables CFG, default 1.0.",required:!1,default:1},{name:"batch_size",type:"int",description:"Number of audio chunks processed per batch when prelude_forcing=false; default 1.",required:!1,min:1,default:1},{name:"num_beams",type:"int",description:"Beam-search width; 1 disables beam search, default 1.",required:!1,min:1,default:1},{name:"prelude_forcing",type:"bool",description:"Force open-note prelude tokens between sequential chunks; default true.",required:!1,default:!0},{name:"seed",type:"int",description:"Sampling seed; default 0.",required:!1,min:0,default:0}],session:[{name:"weight_type",type:"enum",description:"Transformer weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"perf_mode",type:"enum",description:"Decoder attention mode; flash_attention uses the CUDA fast path, off keeps the exact attention path. Default flash_attention.",values:["off","flash_attention"],required:!1,default:"flash_attention"},{name:"weight_context_mb",type:"int",description:"Weight context arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"conditioning_graph_arena_mb",type:"int",description:"Condition graph arena size in MiB; default 128.",required:!1,min:1,default:128},{name:"decoder_prefill_graph_arena_mb",type:"int",description:"Decoder prefill graph arena size in MiB; default 768.",required:!1,min:1,default:768},{name:"decoder_decode_graph_arena_mb",type:"int",description:"Decoder cached-step graph arena size in MiB; default 512.",required:!1,min:1,default:512}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"muscriptor_small_f32",display_name:"MuScriptor Small F32 GGUF",default:!0,format:"gguf",precision:"f32",target_directory:"MuScriptor-Small-GGUF",files:["MuScriptor-Small-GGUF/muscriptor-small-f32.gguf"],strip_prefix:"MuScriptor-Small-GGUF"}],dependencies:[],ui:{recommended_package:"muscriptor_small_f32",tags:["Music","MIDI","GGUF","Stream"],docs:["docs/models/muscriptor.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json"},tensors:{weights:"model:model.safetensors"}}]},ag={family:"nemotron_asr",display_name:"Nemotron 3.5 ASR",description:"NVIDIA 600M streaming ASR model for low-latency and batch transcription across 40 language-locales, with native punctuation, capitalization, automatic language detection, and configurable chunk sizes.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["ar-AR","bg-BG","cs-CZ","da-DK","de-DE","el-GR","en-GB","en-US","es-ES","es-US","et-EE","fi-FI","fr-CA","fr-FR","he-IL","hi-IN","hr-HR","hu-HU","it-IT","ja-JP","ko-KR","lt-LT","lv-LV","mt-MT","nb-NO","nl-NL","nn-NO","pl-PL","pt-BR","pt-PT","ro-RO","ru-RU","sk-SK","sl-SI","sv-SE","th-TH","tr-TR","uk-UA","vi-VN","zh-CN"],capabilities:{},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"nemotron_asr_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"nemotron_asr_q8_0",display_name:"Nemotron 3.5 ASR Streaming 0.6B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF",files:["Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf"],strip_prefix:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF"},{id:"nemotron_asr_f16",display_name:"Nemotron 3.5 ASR Streaming 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF",files:["Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-f16.gguf"],strip_prefix:"Nemotron-3.5-ASR-Streaming-0.6B-GGUF"},{id:"nemotron_asr_safetensors",display_name:"Nemotron 3.5 ASR Streaming 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"nemotron-3.5-asr-streaming-0.6b",files:["config.json","model.safetensors","processor_config.json","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"nvidia/nemotron-3.5-asr-streaming-0.6b"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},rg={schema_version:1,family:"neutts",display_name:"NeuTTS",description:"NeuTTS is an English text-to-speech family from Neuphonic. The current 2E package uses a Qwen3-style autoregressive speech-token backbone, NeuCodec waveform decoding, built-in speaker prompts, and emotion-token control.",category:"tts",status:"supported",tasks:["tts"],modes:["offline","streaming"],languages:["en"],runtime:{tags:["gguf","stream"]},capabilities:{tts:["built_in_voices","emotion_control","long_form"]},options:{request:[{name:"voice_id",type:"enum",description:"Built-in NeuTTS speaker prompt; default emily.",values:["dave","emily","greta","jo","juliette","mateo","paul","sophie","steven"],required:!1,default:"emily"},{name:"emotion",type:"enum",description:"Optional emotion token inserted between reference text and target text; neutral inserts no emotion token.",values:["angry","disgusted","sad","happy","fearful","neutral","surprised"],required:!1,default:"neutral"},{name:"max_tokens",type:"int",description:"Maximum generated speech-token count for the autoregressive generator; 0 uses the remaining model context, default 0.",required:!1,min:0,default:0},{name:"min_tokens",type:"int",description:"Minimum generated speech-token count before EOS may stop generation; default 50.",required:!1,min:0,default:50},{name:"temperature",type:"float",description:"Autoregressive sampling temperature; must be positive, default 1.0.",required:!1,min:0,default:1},{name:"top_k",type:"int",description:"Autoregressive top-k sampling limit; default 50.",required:!1,min:1,default:50},{name:"seed",type:"int",description:"Autoregressive sampling seed; omitted requests choose a random seed.",required:!1,min:0},{name:"text_chunk_mode",type:"enum",description:"Framework text chunking mode for long-form synthesis.",values:["default","tag_aware","japanese","endline"],required:!1,default:"default"},{name:"text_chunk_size",type:"int",description:"Maximum Unicode codepoints per long-form text chunk; default 600.",required:!1,min:1,default:600}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type for the backbone and codec decoder; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"generator_weight_type",type:"enum",description:"Backbone matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_weight_type",type:"enum",description:"NeuCodec decoder matmul weight storage type; defaults to weight_type when set, otherwise native.",preset:"weight_type_full",required:!1},{name:"codec_conv_weight_type",type:"enum",description:"NeuCodec convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"runtime_graph_arena_mb",type:"int",description:"Reusable ggml graph arena size in MiB for NeuTTS runtime graphs; default 1024.",required:!1,min:1,default:1024}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"neutts_2e_orig",display_name:"NeuTTS 2E Original-Precision GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"NeuTTS-2E-GGUF",files:["NeuTTS-2E-GGUF/neutts-2e-orig.gguf"],strip_prefix:"NeuTTS-2E-GGUF"}],dependencies:[],ui:{recommended_package:"neutts_2e_orig",tags:["TTS","GGUF","Stream"],docs:["docs/tts.md","docs/models/neutts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja",codec_config:"model:neucodec_config.json",codec_preprocessor_config:"model:neucodec_preprocessor_config.json",speaker_text_dave:"model:samples/dave.txt",speaker_text_emily:"model:samples/emily.txt",speaker_text_greta:"model:samples/greta.txt",speaker_text_jo:"model:samples/jo.txt",speaker_text_juliette:"model:samples/juliette.txt",speaker_text_mateo:"model:samples/mateo.txt",speaker_text_paul:"model:samples/paul.txt",speaker_text_sophie:"model:samples/sophie.txt",speaker_text_steven:"model:samples/steven.txt"},tensors:{backbone:{source:"weights:",prefix:"backbone"},codec:{source:"weights:",prefix:"codec"},speaker_prompts:{source:"weights:",prefix:"speaker_prompts"}}},{format:"safetensors",roots:{model:".",codec:"../NeuCodec"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",chat_template:"model:chat_template.jinja",codec_config:"codec:config.json",codec_preprocessor_config:"codec:preprocessor_config.json",speaker_text_dave:"model:samples/dave.txt",speaker_text_emily:"model:samples/emily.txt",speaker_text_greta:"model:samples/greta.txt",speaker_text_jo:"model:samples/jo.txt",speaker_text_juliette:"model:samples/juliette.txt",speaker_text_mateo:"model:samples/mateo.txt",speaker_text_paul:"model:samples/paul.txt",speaker_text_sophie:"model:samples/sophie.txt",speaker_text_steven:"model:samples/steven.txt"},tensors:{backbone:"model:model.safetensors",codec:"codec:model.safetensors",speaker_prompts:"model:samples/speaker_prompts.safetensors"}}]},lg={family:"omnivoice",display_name:"OmniVoice",description:"Massively multilingual zero-shot TTS model from k2-fsa for 600+ languages, supporting short-reference voice cloning, attribute-based voice design, pronunciation controls, and nonverbal tags.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline","streaming"],languages:["600+ languages"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"omnivoice_q8_0",tags:["TTS","Clone","Design","GGUF","Stream"],docs:["docs/models/omnivoice.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"omnivoice_q8_0",display_name:"OmniVoice Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-q8_0.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_bf16",display_name:"OmniVoice BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-bf16.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_f16",display_name:"OmniVoice F16 GGUF",format:"gguf",precision:"f16",target_directory:"OmniVoice-GGUF",files:["OmniVoice-GGUF/omnivoice-f16.gguf"],strip_prefix:"OmniVoice-GGUF"},{id:"omnivoice_safetensors",display_name:"OmniVoice Safetensors",format:"safetensors",precision:"native",target_directory:"OmniVoice",files:["config.json","model.safetensors","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"k2-fsa/OmniVoice"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",audio_tokenizer_config:"model:audio_tokenizer/config.json",audio_tokenizer_preprocessor:"model:audio_tokenizer/preprocessor_config.json"},optional_files:{chat_template:"model:chat_template.jinja"},tensors:{weights:{source:"weights:",prefix:"weights"},audio_tokenizer_weights:{source:"weights:",prefix:"audio_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_json:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",audio_tokenizer_config:"model:audio_tokenizer/config.json",audio_tokenizer_preprocessor:"model:audio_tokenizer/preprocessor_config.json"},optional_files:{chat_template:"model:chat_template.jinja"},tensors:{weights:"model:model.safetensors",audio_tokenizer_weights:"model:audio_tokenizer/model.safetensors"}}]},dg={schema_version:1,family:"outetts",display_name:"Llama-OuteTTS 1.0",description:"Llama-based open-weight TTS model for 23-language speech synthesis with one-shot voice cloning from short reference audio and automatic word-alignment support.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["ar","be","bn","de","en","es","fa","fr","hu","it","ja","ka","ko","lt","lv","nl","pl","pt","ru","sw","ta","uk","zh"],capabilities:{clone:["speaker_reference"]},options:{request:[{name:"max_tokens",type:"int",description:"Maximum generated audio tokens per chunk. When omitted, OuteTTS estimates a safe value from each chunk.",required:!1,min:1},{name:"temperature",type:"float",description:"Sampling temperature; default 0.4 for cloning, otherwise model config default.",required:!1,min:0},{name:"top_k",type:"int",description:"Top-k sampling; default 40 for cloning, otherwise model config default.",required:!1,min:0},{name:"top_p",type:"float",description:"Nucleus sampling in (0, 1]; default 0.9 for cloning, otherwise model config default.",required:!1,min:0,max:1},{name:"min_p",type:"float",description:"Minimum probability relative to the best token; default 0.05 for cloning, otherwise model config default.",required:!1,min:0,max:1},{name:"repetition_penalty",type:"float",description:"Positive windowed repetition penalty; default 1.1.",required:!1,min:0,default:1.1},{name:"repetition_window",type:"int",description:"Recent-token penalty window; default 64.",required:!1,min:0,default:64},{name:"seed",type:"int",description:"Sampling seed; cloning defaults to 4099 for native weights and 42 for quantized weights.",required:!1,min:0},{name:"reference_text",type:"string",description:"Transcript matching the reference voice audio for voice cloning.",required:!1},{name:"reference_language",type:"string",description:"Language code used to align the reference transcript; default en.",required:!1,default:"en"},{name:"text_chunk_size",type:"int",description:"Maximum UTF-8 codepoints per long-form text chunk; default 256. Chunks are split further when required by max_tokens or context budget.",required:!1,min:1,default:256},{name:"text_chunk_mode",type:"enum",description:"Framework long-form text chunking mode; default word_budget.",preset:"text_chunk_mode_full",required:!1,default:"word_budget"}],session:[{name:"weight_type",type:"enum",description:"Language-model weight storage type. Quantized CUDA voice cloning is expanded to F32 in memory for generation correctness.",preset:"weight_type_full",required:!1,default:"native"},{name:"llama_weight_context_mb",type:"int",description:"Language-model weight context size in MiB; default 4096.",required:!1,min:1,default:4096},{name:"constant_context_mb",type:"int",description:"Language-model constant tensor context size in MiB; default 256.",required:!1,min:1,default:256},{name:"dac_weight_context_mb",type:"int",description:"DAC decoder weight context size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"dac_graph_arena_mb",type:"int",description:"DAC decoder graph arena size in MiB; default 1536.",required:!1,min:1,default:1536},{name:"aligner_path",type:"path",description:"Optional Qwen3 Forced Aligner override. Cloning automatically uses the aligner embedded in a standalone OuteTTS GGUF when present.",required:!1},{name:"reference_cache_slots",type:"int",description:"Prepared reference-profile cache slots; default 1, set 0 to disable.",required:!1,min:0,default:1},{name:"mem_saver",type:"bool",description:"Release cached-step and aligner runtime state after use; default false.",required:!1,default:!1}],load:[]},runtime:{tags:["gguf"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",dac_config:"model:dac/config.json"},optional_files:{aligner_config:"model:aligner/config.json",aligner_generation_config:"model:aligner/generation_config.json",aligner_tokenizer_config:"model:aligner/tokenizer_config.json",aligner_preprocessor_config:"model:aligner/preprocessor_config.json",aligner_processor_config:"model:aligner/processor_config.json",aligner_chat_template:"model:aligner/chat_template.json",aligner_chat_template_jinja:"model:aligner/chat_template.jinja",aligner_vocab:"model:aligner/vocab.json",aligner_merges:"model:aligner/merges.txt",aligner_tokenizer_json:"model:aligner/tokenizer.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},dac_weights:{source:"weights:",prefix:"dac_weights"},aligner_weights:{source:"weights:",prefix:"aligner_weights"}}},{format:"safetensors",roots:{model:".",dac:"../DAC.speech.v1.0"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer:"model:tokenizer.json",tokenizer_config:"model:tokenizer_config.json",special_tokens_map:"model:special_tokens_map.json",dac_config:"dac:config.json"},tensors:{model_weights:"model:model.safetensors",dac_weights:"dac:model.safetensors"}}],packages:[{id:"outetts_1_0_1b_q8_0",display_name:"Llama-OuteTTS 1.0 1B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Llama-OuteTTS-1.0-1B_Q8",files:["Text to audio (TTS)/Llama-OuteTTS-1.0-1B_Q8.gguf"],download:{kind:"huggingface_snapshot",repo:"mirek190/audio.cpp"}}],dependencies:[],ui:{recommended_package:"outetts_1_0_1b_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/outetts.md","docs/reports/outetts_validation.md","docs/gguf.md"]}},cg={schema_version:1,family:"parakeet_tdt",display_name:"Parakeet-TDT 0.6B v3",description:"NVIDIA Parakeet-TDT 0.6B v3 FastConformer-TDT ASR covering 25 European languages with automatic language detection. Supports the upstream Transformers-compatible safetensors package and standalone audio.cpp GGUF, with offline full-context, bounded-window long-form, and buffered streaming; the checkpoint uses unlimited bidirectional attention and is not a native cache-aware streaming model.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["bg","cs","da","de","el","en","es","et","fi","fr","hr","hu","it","lt","lv","mt","nl","pl","pt","ro","ru","sk","sl","sv","uk"],runtime:{tags:["gguf","stream"]},capabilities:{asr:["word_timestamps","partial_results"]},options:{request:[{name:"max_tokens",type:"int",description:"Maximum TDT generated tokens; 0 or omitted uses the model-derived limit.",required:!1,min:0,default:0},{name:"keep_language_tags",type:"bool",description:"Keep language tag tokens in decoded text; default false.",required:!1,default:!1}],session:[{name:"weight_type",type:"enum",description:"Shared matmul weight storage type; default native.",preset:"weight_type_full",required:!1,default:"native"},{name:"matmul_weight_type",type:"enum",description:"Encoder and decoder matmul weight storage type; defaults to weight_type, which defaults to native. Q8_0 measured 1.79x faster on the tested CPU and changed roughly 8 percent of transcripts without moving aggregate word error rate.",preset:"weight_type_full",required:!1},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; default native.",preset:"weight_type_conv",required:!1,default:"native"},{name:"perf_mode",type:"enum",description:"Encoder attention implementation. Default off uses the validated relative-attention path; flash_attention enables the fused implementation, which was numerically validated but slower on the tested hardware.",preset:"perf_mode_flash_attention",required:!1,default:"off"},{name:"weight_context_mb",type:"int",description:"Weight context arena size in MiB; default 3072.",required:!1,min:1,default:3072},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MiB; default 1024.",required:!1,min:1,default:1024},{name:"decoder_graph_arena_mb",type:"int",description:"Decoder graph arena size in MiB; default 256.",required:!1,min:1,default:256},{name:"audio_chunk_duration_sec",type:"float",description:"Center-region duration for buffered streaming in seconds; default 2. Fixed context windows are re-encoded rather than cache-aware.",required:!1,min:.001,default:2},{name:"left_context_sec",type:"float",description:"Past context included when re-encoding each buffered-streaming window in seconds; default 10.",required:!1,min:0,default:10},{name:"right_context_sec",type:"float",description:"Future lookahead included when re-encoding each buffered-streaming window in seconds; default 2 and adds equivalent partial-result latency.",required:!1,min:0,default:2},{name:"streaming_attention_mode",type:"enum",description:"Attention policy inside each buffered window. full_context preserves bidirectional attention over the bounded window.",values:["full_context"],required:!1,default:"full_context"},{name:"offline_mode",type:"enum",description:"Offline encoder scheduling. full_context encodes the whole utterance, long_form uses bounded overlapping windows, and auto selects long_form beyond audio_chunk_threshold_sec.",values:["full_context","long_form","auto"],required:!1,default:"full_context"},{name:"audio_chunk_threshold_sec",type:"float",description:"Duration threshold used by offline_mode=auto before switching to bounded-window long-form execution; default 30 seconds.",required:!1,min:.001,default:30}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"parakeet_tdt_q8_0",display_name:"Parakeet-TDT 0.6B v3 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Parakeet-TDT-0.6B-v3-GGUF",files:["Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-q8_0.gguf"],strip_prefix:"Parakeet-TDT-0.6B-v3-GGUF"},{id:"parakeet_tdt_f16",display_name:"Parakeet-TDT 0.6B v3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Parakeet-TDT-0.6B-v3-GGUF",files:["Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-f16.gguf"],strip_prefix:"Parakeet-TDT-0.6B-v3-GGUF"}],dependencies:[],ui:{recommended_package:"parakeet_tdt_q8_0",tags:["ASR","GGUF"],docs:["docs/community_models/parakeet_tdt.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor_config:"model:processor_config.json",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},ug={family:"pocket_tts",display_name:"PocketTTS",description:"Kyutai 100M-parameter CPU-friendly TTS package set for real-time local synthesis and small-footprint voice cloning in English, German, Italian, Portuguese, and Spanish.",category:"tts",status:"supported",tasks:["tts","clone"],modes:["offline"],languages:["en","de","it","pt","es"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"pocket_tts_english_q8_0",default_voice:"alba",builtin_voices:["alba"],tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"pocket_tts_english_q8_0",display_name:"PocketTTS English Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/english",files:["PocketTTS-GGUF/english/pocket-tts-english-q8_0.gguf","PocketTTS-GGUF/english/embeddings/alba.safetensors"],strip_prefix:"PocketTTS-GGUF/english"},{id:"pocket_tts_english_bf16",display_name:"PocketTTS English BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/english",files:["PocketTTS-GGUF/english/pocket-tts-english-bf16.gguf","PocketTTS-GGUF/english/embeddings/alba.safetensors"],strip_prefix:"PocketTTS-GGUF/english"},{id:"pocket_tts_german_q8_0",display_name:"PocketTTS German Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/german",files:["PocketTTS-GGUF/german/pocket-tts-german-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/german"},{id:"pocket_tts_german_bf16",display_name:"PocketTTS German BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/german",files:["PocketTTS-GGUF/german/pocket-tts-german-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/german"},{id:"pocket_tts_italian_q8_0",display_name:"PocketTTS Italian Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/italian",files:["PocketTTS-GGUF/italian/pocket-tts-italian-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/italian"},{id:"pocket_tts_italian_bf16",display_name:"PocketTTS Italian BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/italian",files:["PocketTTS-GGUF/italian/pocket-tts-italian-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/italian"},{id:"pocket_tts_portuguese_q8_0",display_name:"PocketTTS Portuguese Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/portuguese",files:["PocketTTS-GGUF/portuguese/pocket-tts-portuguese-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/portuguese"},{id:"pocket_tts_portuguese_bf16",display_name:"PocketTTS Portuguese BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/portuguese",files:["PocketTTS-GGUF/portuguese/pocket-tts-portuguese-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/portuguese"},{id:"pocket_tts_spanish_q8_0",display_name:"PocketTTS Spanish Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"PocketTTS-GGUF/spanish",files:["PocketTTS-GGUF/spanish/pocket-tts-spanish-q8_0.gguf"],strip_prefix:"PocketTTS-GGUF/spanish"},{id:"pocket_tts_spanish_bf16",display_name:"PocketTTS Spanish BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"PocketTTS-GGUF/spanish",files:["PocketTTS-GGUF/spanish/pocket-tts-spanish-bf16.gguf"],strip_prefix:"PocketTTS-GGUF/spanish"},{id:"pocket_tts_english_safetensors",display_name:"PocketTTS English Safetensors",format:"safetensors",precision:"native",target_directory:"pocket-tts",files:["languages/english/embeddings/alba.safetensors","languages/english/embeddings/anna.safetensors","languages/english/embeddings/azelma.safetensors","languages/english/embeddings/bill_boerst.safetensors","languages/english/embeddings/caro_davy.safetensors","languages/english/embeddings/charles.safetensors","languages/english/embeddings/cosette.safetensors","languages/english/embeddings/eponine.safetensors","languages/english/embeddings/estelle.safetensors","languages/english/embeddings/eve.safetensors","languages/english/embeddings/fantine.safetensors","languages/english/embeddings/george.safetensors","languages/english/embeddings/giovanni.safetensors","languages/english/embeddings/jane.safetensors","languages/english/embeddings/javert.safetensors","languages/english/embeddings/jean.safetensors","languages/english/embeddings/juergen.safetensors","languages/english/embeddings/lola.safetensors","languages/english/embeddings/marius.safetensors","languages/english/embeddings/mary.safetensors","languages/english/embeddings/michael.safetensors","languages/english/embeddings/paul.safetensors","languages/english/embeddings/peter_yearsley.safetensors","languages/english/embeddings/rafael.safetensors","languages/english/embeddings/stuart_bell.safetensors","languages/english/embeddings/vera.safetensors","languages/english/model.safetensors","languages/english/tokenizer.model"],download:{kind:"huggingface_snapshot",repo:"kyutai/pocket-tts",gated:!0}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tokenizer:"model:tokenizer.model"},optional_files:{config:"model:config.yaml"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{language:"languages/english"},files:{tokenizer:"language:tokenizer.model"},optional_files:{config:"language:config.yaml"},tensors:{weights:"language:model.safetensors"}}]},fg={family:"qwen3_asr",display_name:"Qwen3-ASR",description:"Qwen ASR model family for language identification and speech recognition across 30 languages, 22 Chinese dialects, and multiple English accents, with robustness for noisy, long-form, and singing audio.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["zh","en","yue","ar","de","fr","es","pt","id","it","ko","ru","th","vi","ja","tr","hi","ms","nl","sv","da","fi","pl","cs","fil","fa","el","hu","mk","ro","zh dialects"],capabilities:{asr:["word_timestamps","vad_chunking","partial_results"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"qwen3_asr_1_7b_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/models/qwen3.md","docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_asr_1_7b_q8_0",display_name:"Qwen3-ASR 1.7B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-ASR-1.7B-GGUF",files:["Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-q8_0.gguf"],strip_prefix:"Qwen3-ASR-1.7B-GGUF"},{id:"qwen3_asr_1_7b_f16",display_name:"Qwen3-ASR 1.7B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ASR-1.7B-GGUF",files:["Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-f16.gguf"],strip_prefix:"Qwen3-ASR-1.7B-GGUF"},{id:"qwen3_asr_0_6b_q8_0",display_name:"Qwen3-ASR 0.6B Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-ASR-0.6B-GGUF",files:["Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-q8_0.gguf"],strip_prefix:"Qwen3-ASR-0.6B-GGUF"},{id:"qwen3_asr_0_6b_f16",display_name:"Qwen3-ASR 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ASR-0.6B-GGUF",files:["Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-f16.gguf"],strip_prefix:"Qwen3-ASR-0.6B-GGUF"},{id:"qwen3_asr_1_7b_safetensors",display_name:"Qwen3-ASR 1.7B HF Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ASR-1.7B-hf",files:["config.json","generation_config.json","model.safetensors","processor_config.json","tokenizer_config.json","tokenizer.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ASR-1.7B-hf"}},{id:"qwen3_asr_0_6b_safetensors",display_name:"Qwen3-ASR 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ASR-0.6B",files:["config.json","generation_config.json","model.safetensors","preprocessor_config.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ASR-0.6B"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},mg={family:"qwen3_forced_aligner",display_name:"Qwen3 Forced Aligner",description:"Qwen3 non-autoregressive forced aligner that aligns transcript text to speech and returns word- or character-level timestamps across 11 supported languages.",category:"speech_analysis",status:"supported",tasks:["align"],modes:["offline"],languages:["zh","en","yue","fr","de","it","ja","ko","pt","ru","es"],capabilities:{align:["word_timestamps"]},runtime:{tags:["gguf"]},ui:{recommended_package:"qwen3_forced_aligner_0_6b_q8_0",tags:["Align","GGUF"],docs:["docs/models/qwen3.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_forced_aligner_0_6b_q8_0",display_name:"Qwen3 Forced Aligner 0.6B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-ForcedAligner-0.6B-GGUF",files:["Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-q8_0.gguf"],strip_prefix:"Qwen3-ForcedAligner-0.6B-GGUF"},{id:"qwen3_forced_aligner_0_6b_f16",display_name:"Qwen3 Forced Aligner 0.6B F16 GGUF",format:"gguf",precision:"f16",target_directory:"Qwen3-ForcedAligner-0.6B-GGUF",files:["Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-f16.gguf"],strip_prefix:"Qwen3-ForcedAligner-0.6B-GGUF"},{id:"qwen3_forced_aligner_0_6b_safetensors",display_name:"Qwen3 Forced Aligner 0.6B Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-ForcedAligner-0.6B",files:["config.json","generation_config.json","model.safetensors","preprocessor_config.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-ForcedAligner-0.6B"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json"},optional_files:{preprocessor_config:"model:preprocessor_config.json",processor_config:"model:processor_config.json",chat_template:"model:chat_template.json",chat_template_jinja:"model:chat_template.jinja",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json"},tensors:{weights:"model:model.safetensors"}}]},pg={family:"qwen3_tts",display_name:"Qwen3-TTS",description:"Qwen TTS family for controllable 10-language speech synthesis, including 3-second voice cloning, CustomVoice instruction control over preset timbres, and VoiceDesign from natural-language descriptions.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline"],languages:["zh","en","ja","ko","de","fr","ru","pt","es","it"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf"]},ui:{recommended_package:"qwen3_tts_1_7b_base_q8_0",tags:["TTS","Clone","Design","GGUF"],docs:["docs/models/qwen3.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"qwen3_tts_1_7b_base_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B Base Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-q8_0_v2.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_bf16",display_name:"Qwen3 TTS 12Hz 1.7B Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_orig",display_name:"Qwen3 TTS 12Hz 1.7B Base Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"Qwen3-TTS-12Hz-1.7B-Base-GGUF",files:["Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-orig.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-Base-GGUF"},{id:"qwen3_tts_1_7b_customvoice_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B CustomVoice Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF",files:["Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF"},{id:"qwen3_tts_1_7b_customvoice_bf16",display_name:"Qwen3 TTS 12Hz 1.7B CustomVoice BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF",files:["Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF"},{id:"qwen3_tts_1_7b_voicedesign_q8_0",display_name:"Qwen3 TTS 12Hz 1.7B VoiceDesign Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF",files:["Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF"},{id:"qwen3_tts_1_7b_voicedesign_bf16",display_name:"Qwen3 TTS 12Hz 1.7B VoiceDesign BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF",files:["Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF"},{id:"qwen3_tts_0_6b_base_q8_0",display_name:"Qwen3 TTS 12Hz 0.6B Base Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Qwen3-TTS-12Hz-0.6B-Base-GGUF",files:["Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-q8_0.gguf"],strip_prefix:"Qwen3-TTS-12Hz-0.6B-Base-GGUF"},{id:"qwen3_tts_0_6b_base_bf16",display_name:"Qwen3 TTS 12Hz 0.6B Base BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Qwen3-TTS-12Hz-0.6B-Base-GGUF",files:["Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-bf16.gguf"],strip_prefix:"Qwen3-TTS-12Hz-0.6B-Base-GGUF"},{id:"qwen3_tts_1_7b_base_safetensors",display_name:"Qwen3 TTS 12Hz 1.7B Base Safetensors",format:"safetensors",precision:"native",target_directory:"Qwen3-TTS-12Hz-1.7B-Base",files:["config.json","generation_config.json","model.safetensors","speech_tokenizer/config.json","speech_tokenizer/model.safetensors","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"Qwen/Qwen3-TTS-12Hz-1.7B-Base"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",speech_tokenizer_config:"model:speech_tokenizer/config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",tokenizer_config:"model:tokenizer_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",speech_tokenizer_config:"model:speech_tokenizer/config.json"},tensors:{model_weights:"model:model.safetensors",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors"}}]},_g={schema_version:1,family:"rvc",display_name:"RVC",description:"RVC is an offline retrieval-based voice conversion family packaged for audio.cpp with native HuBERT content features, RMVPE pitch extraction, optional IVF retrieval blending, packaged v1/v2 voices, and support for user-supplied RVC checkpoints.",category:"voice_conversion",status:"experimental",tasks:["vc"],modes:["offline"],languages:["language_agnostic"],runtime:{tags:["gguf"]},capabilities:{},options:{request:[{name:"voice_id",type:"enum",description:"Packaged RVC voice id; default selects the v2 default voice. Ignored when voice_model_path is provided.",values:["default","manthos","chocola","fraise"],required:!1,default:"default"},{name:"voice_model_path",type:"path",description:"Optional user RVC .pth or .pt voice checkpoint path. When set, this overrides the packaged voice id.",required:!1},{name:"pitch_extractor",type:"enum",description:"Pitch extraction method for F0-enabled voices; the native path currently supports rmvpe only.",values:["rmvpe"],required:!1,default:"rmvpe"},{name:"pitch_path",type:"path",description:"Optional CSV F0 override file with time,Hz rows sorted by time.",required:!1},{name:"retrieval_index_path",type:"path",description:"Optional user FAISS .index retrieval path used when retrieval_blend is greater than 0 for a user voice model.",required:!1},{name:"retrieval_blend",type:"float",description:"IVF retrieval feature blend rate; default 0 disables retrieval blending.",required:!1,min:0,max:1,default:0},{name:"semitone_shift",type:"int",description:"Semitone pitch shift applied before synthesis; default 0.",required:!1,default:0},{name:"pitch_filter_radius",type:"int",description:"Median filter radius for F0 smoothing; values greater than 2 enable filtering, default 3.",required:!1,min:0,default:3},{name:"output_sample_rate",type:"int",description:"Output sample rate in Hz; default 0 keeps the selected voice model sample rate.",required:!1,min:0,default:0},{name:"rms_mix_rate",type:"float",description:"RMS envelope mix rate applied after conversion; default 0.25.",required:!1,default:.25},{name:"unvoiced_protection",type:"float",description:"Unvoiced consonant protection strength; must be in [0, 1], default 0.33.",required:!1,min:0,max:1,default:.33},{name:"speaker_id",type:"int",description:"Speaker embedding id for multi-speaker RVC checkpoints; default 0.",required:!1,min:0,default:0},{name:"audio_pad_duration_sec",type:"int",description:"Long-audio chunk pad duration in seconds; default 1.",required:!1,min:1,default:1},{name:"split_query_sec",type:"int",description:"Quiet-point query window in seconds for long-audio splitting; default 5.",required:!1,min:1,default:5},{name:"split_center_sec",type:"int",description:"Long-audio split center stride in seconds; default 30.",required:!1,min:1,default:30},{name:"split_threshold_sec",type:"int",description:"Input duration in seconds before quiet-point splitting is used; default 32.",required:!1,min:1,default:32}],session:[{name:"weight_type",type:"enum",description:"Tensor storage type for native RVC, HuBERT, and RMVPE weights; default f32.",preset:"weight_type_full",required:!1,default:"f32"},{name:"voice_cache_slots",type:"int",description:"User voice model cache slots; default 4, set 0 to disable caching.",required:!1,min:0,default:4}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"rvc_f16",display_name:"RVC F16 GGUF",default:!0,format:"gguf",precision:"f16",target_directory:"RVC-GGUF",files:["RVC-GGUF/rvc-f16.gguf"],strip_prefix:"RVC-GGUF"}],dependencies:[],ui:{recommended_package:"rvc_f16",tags:["VC","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{voice_v1_chocola_index:"model:voices/v1/chocola/added_IVF732_Flat_nprobe_1.index",voice_v1_fraise_index:"model:voices/v1/fraise/added_IVF802_Flat_nprobe_1.index",voice_v2_default_index:"model:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.index",voice_v2_manthos_index:"model:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.index"},tensors:{support_hubert_base:{source:"weights:",prefix:"support_hubert_base"},support_rmvpe:{source:"weights:",prefix:"support_rmvpe"},voice_v1_chocola_checkpoint:{source:"weights:",prefix:"voice_v1_chocola_checkpoint"},voice_v1_chocola_index_vectors:{source:"weights:",prefix:"voice_v1_chocola_index_vectors"},voice_v1_fraise_checkpoint:{source:"weights:",prefix:"voice_v1_fraise_checkpoint"},voice_v1_fraise_index_vectors:{source:"weights:",prefix:"voice_v1_fraise_index_vectors"},voice_v2_default_checkpoint:{source:"weights:",prefix:"voice_v2_default_checkpoint"},voice_v2_default_index_vectors:{source:"weights:",prefix:"voice_v2_default_index_vectors"},voice_v2_manthos_checkpoint:{source:"weights:",prefix:"voice_v2_manthos_checkpoint"},voice_v2_manthos_index_vectors:{source:"weights:",prefix:"voice_v2_manthos_index_vectors"}}},{format:"safetensors",roots:{safetensors:"../safetensors"},files:{voice_v1_chocola_index:"safetensors:voices/v1/chocola/added_IVF732_Flat_nprobe_1.index",voice_v1_fraise_index:"safetensors:voices/v1/fraise/added_IVF802_Flat_nprobe_1.index",voice_v2_default_index:"safetensors:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.index",voice_v2_manthos_index:"safetensors:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.index"},tensors:{support_hubert_base:"safetensors:support/hubert_base.safetensors",support_rmvpe:"safetensors:support/rmvpe.safetensors",voice_v1_chocola_checkpoint:"safetensors:voices/v1/chocola/chocola2333333.safetensors",voice_v1_chocola_index_vectors:"safetensors:voices/v1/chocola/added_IVF732_Flat_nprobe_1.ivf.safetensors",voice_v1_fraise_checkpoint:"safetensors:voices/v1/fraise/fraise2333333.safetensors",voice_v1_fraise_index_vectors:"safetensors:voices/v1/fraise/added_IVF802_Flat_nprobe_1.ivf.safetensors",voice_v2_default_checkpoint:"safetensors:voices/v2/default/default.safetensors",voice_v2_default_index_vectors:"safetensors:voices/v2/default/added_IVF511_Flat_nprobe_1_default_v2.ivf.safetensors",voice_v2_manthos_checkpoint:"safetensors:voices/v2/manthos/manthos.safetensors",voice_v2_manthos_index_vectors:"safetensors:voices/v2/manthos/added_IVF2586_Flat_nprobe_1_manthos_v2.ivf.safetensors"}}]},gg={family:"seed_vc",schema_version:1,display_name:"Seed-VC",description:"Zero-shot voice conversion and singing voice conversion model for transferring timbre and style from reference audio, with low-latency realtime conversion and optional lightweight fine-tuning.",category:"voice_conversion",status:"supported",tasks:["vc","svc"],modes:["offline"],languages:["language_agnostic"],capabilities:{vc:["speaker_reference"],svc:["speaker_reference","singing"]},dependencies:[],runtime:{tags:["gguf"]},ui:{recommended_package:"seed_vc_mlx_q8_0",tags:["VC","GGUF"],docs:["docs/models/seed_vc.md","docs/audio_tools.md","docs/gguf.md"]},options:{request:[{name:"route",type:"enum",description:"Select the Seed-VC conversion route. Defaults to v2_vc for VC and v1_svc for SVC.",values:["v2_vc","v1_svc","v1_whisper_bigvgan_vc","v1_xlsr_hift_vc"],required:!1},{name:"length_adjust",type:"float",description:"Output duration multiplier; must be positive, default 1.0.",required:!1,min:0,default:1},{name:"num_inference_steps",type:"int",description:"Diffusion steps; default 30.",required:!1,min:1,default:30},{name:"inference_guidance_scale",type:"float",description:"V1 classifier-free guidance scale; default 0.7.",required:!1,min:0,default:.7},{name:"intelligibility_guidance_scale",type:"float",description:"V2 classifier-free guidance scale for source-content intelligibility; default 0.7.",required:!1,min:0,default:.7},{name:"similarity_guidance_scale",type:"float",description:"V2 classifier-free guidance scale for target-speaker similarity; default 0.7.",required:!1,min:0,default:.7},{name:"voice_anonymization",type:"bool",description:"Use randomized average-voice conditioning instead of target-speaker conditioning for V2 anonymization; default false.",required:!1,default:!1},{name:"seed",type:"int",description:"Seed for V1/V2 diffusion noise and HiFT stochastic source excitation; omitted requests choose a random seed.",required:!1,min:0},{name:"noise_path",type:"path",description:"Optional raw f32 noise file for deterministic V1/V2 diffusion noise and XLSR/HiFT source excitation.",required:!1},{name:"f0_condition",type:"bool",description:"Enable V1 F0 conditioning for singing voice conversion; default false.",required:!1,default:!1},{name:"auto_f0_adjust",type:"bool",description:"Automatically adjust V1 source pitch toward the target pitch level; default false.",required:!1,default:!1},{name:"semitone_shift",type:"int",description:"V1 pitch shift in semitones for singing voice conversion; default 0.",required:!1,default:0}],session:[{name:"weight_type",type:"enum",description:"Shared Seed-VC component weight storage type; default native, except RMVPE uses f32 unless overridden.",preset:"weight_type_full",required:!1,default:"native"}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"seed_vc_mlx_q8_0",display_name:"SeedVC-MLX Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_f16",display_name:"SeedVC-MLX F16 GGUF",format:"gguf",precision:"f16",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_orig",display_name:"SeedVC-MLX Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"SeedVC-MLX-GGUF",files:["SeedVC-MLX-GGUF/seed-vc-mlx-orig.gguf"],strip_prefix:"SeedVC-MLX-GGUF"},{id:"seed_vc_mlx_safetensors",display_name:"SeedVC-MLX Safetensors",format:"safetensors",precision:"native",target_directory:"SeedVC-MLX",files:["seed_vc_manifest.json","v2/ar.safetensors","v2/cfm.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/SeedVC-MLX"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{manifest:"model:seed_vc_manifest.json",v2_wrapper_config:"model:v2/vc_wrapper.json",astral_bsq32_config:"model:astral/bsq32.json",astral_bsq2048_config:"model:astral/bsq2048.json",v1_svc_config:"model:v1/svc.json",v1_whisper_bigvgan_config:"model:v1/whisper_bigvgan.json",v1_xlsr_hift_config:"model:v1/xlsr_hift.json",hift_config:"model:hift/config.json",bigvgan_22k_config:"model:bigvgan/v2_22khz_80band_256x/config.json",bigvgan_44k_config:"model:bigvgan/v2_44khz_128band_512x/config.json",whisper_small_config:"model:whisper-small/config.json",hubert_large_config:"model:hubert-large-ll60k/config.json",wav2vec2_xlsr_config:"model:wav2vec2-xls-r-300m/config.json"},tensors:{v2_ar_weights:{source:"weights:",prefix:"v2_ar_weights"},v2_cfm_weights:{source:"weights:",prefix:"v2_cfm_weights"},v1_svc_weights:{source:"weights:",prefix:"v1_svc_weights"},v1_whisper_bigvgan_weights:{source:"weights:",prefix:"v1_whisper_bigvgan_weights"},v1_xlsr_hift_weights:{source:"weights:",prefix:"v1_xlsr_hift_weights"},astral_bsq32_weights:{source:"weights:",prefix:"astral_bsq32_weights"},astral_bsq2048_weights:{source:"weights:",prefix:"astral_bsq2048_weights"},campplus_weights:{source:"weights:",prefix:"campplus_weights"},rmvpe_weights:{source:"weights:",prefix:"rmvpe_weights"},hift_weights:{source:"weights:",prefix:"hift_weights"},bigvgan_22k_weights:{source:"weights:",prefix:"bigvgan_22k_weights"},bigvgan_44k_weights:{source:"weights:",prefix:"bigvgan_44k_weights"},whisper_small_weights:{source:"weights:",prefix:"whisper_small_weights"},hubert_large_weights:{source:"weights:",prefix:"hubert_large_weights"},wav2vec2_xlsr_weights:{source:"weights:",prefix:"wav2vec2_xlsr_weights"}}},{format:"safetensors",roots:{model:"."},files:{manifest:"model:seed_vc_manifest.json",v2_wrapper_config:"model:v2/vc_wrapper.json",astral_bsq32_config:"model:astral/bsq32.json",astral_bsq2048_config:"model:astral/bsq2048.json",v1_svc_config:"model:v1/svc.json",v1_whisper_bigvgan_config:"model:v1/whisper_bigvgan.json",v1_xlsr_hift_config:"model:v1/xlsr_hift.json",hift_config:"model:hift/config.json",bigvgan_22k_config:"model:bigvgan/v2_22khz_80band_256x/config.json",bigvgan_44k_config:"model:bigvgan/v2_44khz_128band_512x/config.json",whisper_small_config:"model:whisper-small/config.json",hubert_large_config:"model:hubert-large-ll60k/config.json",wav2vec2_xlsr_config:"model:wav2vec2-xls-r-300m/config.json"},tensors:{v2_ar_weights:"model:v2/ar.safetensors",v2_cfm_weights:"model:v2/cfm.safetensors",v1_svc_weights:"model:v1/svc.safetensors",v1_whisper_bigvgan_weights:"model:v1/whisper_bigvgan.safetensors",v1_xlsr_hift_weights:"model:v1/xlsr_hift.safetensors",astral_bsq32_weights:"model:astral/bsq32.safetensors",astral_bsq2048_weights:"model:astral/bsq2048.safetensors",campplus_weights:"model:campplus/model.safetensors",rmvpe_weights:"model:rmvpe/model.safetensors",hift_weights:"model:hift/model.safetensors",bigvgan_22k_weights:"model:bigvgan/v2_22khz_80band_256x/model.safetensors",bigvgan_44k_weights:"model:bigvgan/v2_44khz_128band_512x/model.safetensors",whisper_small_weights:"model:whisper-small/model.safetensors",hubert_large_weights:"model:hubert-large-ll60k/model.safetensors",wav2vec2_xlsr_weights:"model:wav2vec2-xls-r-300m/model.safetensors"}}]},hg={schema_version:1,family:"sense_asr",display_name:"SenseVoice-Small",description:"SenseVoice-Small multilingual speech recognition with rich event/emotion/ITN tags via a SAN-M encoder and CTC head, ported to audio.cpp.",category:"asr",status:"community",tasks:["asr"],modes:["offline","streaming"],languages:["auto","zh","en","yue","ja","ko","pt","ru","es","it","fr","de","nl","pl","tr","ar","hi","vi","th","id","ms","fa","nospeech"],capabilities:{asr:["vad_chunking","partial_results"]},options:{request:[{name:"language",type:"string",description:"Recognition language, or auto to let the model infer it from the audio.",required:!1,default:"auto"},{name:"enable_itn",type:"bool",description:"Enable inverse text normalization (adds the withitn query token).",required:!1,default:!0},{name:"keep_tags",type:"bool",description:"Keep <|event|>/<|emotion|>/<|language|> tags inline in the output text.",required:!1,default:!1},{name:"audio_chunk_mode",type:"enum",description:"Audio chunking mode: auto, fixed, or none.",values:["auto","fixed","none"],required:!1,default:"auto"},{name:"audio_chunk_duration_sec",type:"float",description:"Fixed chunk duration in seconds when not using VAD segmentation.",required:!1,min:.001,default:30}],session:[{name:"weight_type",type:"enum",description:"Shared model weight storage type.",preset:"weight_type_full",required:!1,default:"native"},{name:"encoder_graph_arena_mb",type:"int",description:"Encoder graph arena size in MB.",required:!1,min:64,default:1024},{name:"vad_model_path",type:"string",description:"Path to the Silero VAD model directory used by automatic audio chunking.",required:!1,default:"assets/framework/models/silero_vad"}],load:[]},runtime:{tags:["gguf","server","stream","cuda","metal","cpu"]},packages:[{id:"sensevoice_small_q8",display_name:"SenseVoice-Small Q8 GGUF",description:"audio.cpp GGUF built from the SenseVoice-Small checkpoint via the SenseVoice llama.cpp export script.",default:!0,format:"gguf",precision:"q8_0",target_directory:"SenseVoice-Small-GGUF",files:["sensevoice-small-q8-audiocpp-v1.gguf"],download:{kind:"huggingface_snapshot",repo:"FunAudioLLM/SenseVoiceSmall-GGUF-audiocpp",revision:"5c3fcfe748a8714216bc135476d5863084fddb72",gated:!1}}],dependencies:[],ui:{recommended_package:"sensevoice_small_q8",tags:["ASR","GGUF","Stream"],docs:["docs/community_models/sense_asr.md"],summary:"SenseVoice-Small transcription with event/emotion tags and ITN."},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{},optional_files:{},tensors:{weights:"weights:"}}]},vg={schema_version:1,family:"sortformer_diar",display_name:"Sortformer Diarization",description:"NVIDIA Transformer-based end-to-end speaker diarization model trained primarily on English speech, predicting speaker labels directly from audio and resolving speaker ordering by arrival time for up to four speakers.",category:"speech_analysis",status:"supported",tasks:["diar"],modes:["offline"],languages:["en"],capabilities:{diar:["speaker_turns"]},dependencies:[],options:{request:[{name:"speaker_threshold",type:"float",description:"Speaker activity probability threshold used when decoding speaker turns; default 0.5.",required:!1,min:0,max:1,default:.5},{name:"speaker_min_frames",type:"int",description:"Minimum decoded segment length in model output frames; default 0 disables short-segment filtering.",required:!1,min:0,default:0},{name:"speaker_pad_frames",type:"int",description:"Pad each decoded speaker segment by this many model output frames before filtering and merging; default 0.",required:!1,min:0,default:0}],session:[{name:"graph_arena_mb",type:"int",description:"Inference graph arena size in MiB; default 512.",required:!1,min:1,default:512},{name:"weight_context_mb",type:"int",description:"Weight context size in MiB; default 128.",required:!1,min:1,default:128},{name:"session_len_sec",type:"float",description:"Base offline graph context length in seconds; must be positive, default 20.",required:!1,min:0,default:20},{name:"graph_capacity_mode",type:"enum",description:"Offline graph capacity policy; defaults to tiered on host-graph backends and fixed otherwise.",values:["fixed","tiered","grow","double"],required:!1},{name:"speaker_threshold",type:"float",description:"Default speaker activity probability threshold for decoded speaker turns; default 0.5.",required:!1,min:0,max:1,default:.5},{name:"speaker_min_frames",type:"int",description:"Default minimum decoded segment length in model output frames; default 0 disables short-segment filtering.",required:!1,min:0,default:0},{name:"speaker_pad_frames",type:"int",description:"Default decoded segment padding in model output frames; default 0.",required:!1,min:0,default:0},{name:"weight_type",type:"enum",description:"All weight storage type; default f32.",preset:"weight_type_full",required:!1,default:"f32"},{name:"matmul_weight_type",type:"enum",description:"Matmul weight storage type; defaults to weight_type when set, otherwise f32.",preset:"weight_type_full",required:!1},{name:"conv_weight_type",type:"enum",description:"Convolution weight storage type; defaults to weight_type when set, otherwise f32.",preset:"weight_type_full",required:!1}],load:[]},runtime:{tags:["gguf"]},ui:{recommended_package:"sortformer_diar_4spk_v1_q8_0",tags:["Diar","GGUF"],docs:["docs/audio_tools.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"sortformer_diar_4spk_v1_q8_0",display_name:"Sortformer Diar 4spk v1 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Sortformer-Diar-4spk-v1-GGUF",files:["Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-q8_0.gguf"],strip_prefix:"Sortformer-Diar-4spk-v1-GGUF"},{id:"sortformer_diar_4spk_v1_f16",display_name:"Sortformer Diar 4spk v1 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Sortformer-Diar-4spk-v1-GGUF",files:["Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-f16.gguf"],strip_prefix:"Sortformer-Diar-4spk-v1-GGUF"},{id:"sortformer_diar_4spk_v1_safetensors",display_name:"Sortformer Diar 4spk v1 Safetensors",format:"safetensors",precision:"native",target_directory:"diar_sortformer_4spk-v1",files:["config.json","model.safetensors","processor_config.json"],download:{kind:"huggingface_snapshot",repo:"nvidia/diar_sortformer_4spk-v1"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",processor:"model:processor_config.json"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",processor:"model:processor_config.json"},tensors:{weights:"model:model.safetensors"}}]},yg={family:"stable_audio",display_name:"Stable Audio 3",description:"Stability AI generative audio model family for text-to-music, sound effects, audio-to-audio editing, inpainting, continuation, variable-length generation, and LoRA personalization.",category:"audio_generation",status:"supported",tasks:["music","sfx","edit"],modes:["offline"],languages:["en"],capabilities:{music:["lyrics"],sfx:["prompt_generation"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"stable_audio_3_medium_q8_0",tags:["Music","SFX","Edit","GGUF"],docs:["docs/models/stable_audio.md","docs/music_generation.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"stable_audio_3_medium_q8_0",display_name:"Stable Audio 3 Medium Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Medium-GGUF",files:["Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Medium-GGUF"},{id:"stable_audio_3_medium_f16",display_name:"Stable Audio 3 Medium F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Medium-GGUF",files:["Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-f16.gguf"],strip_prefix:"Stable-Audio-3-Medium-GGUF"},{id:"stable_audio_3_small_music_q8_0",display_name:"Stable Audio 3 Small Music Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Small-Music-GGUF",files:["Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Small-Music-GGUF"},{id:"stable_audio_3_small_music_f16",display_name:"Stable Audio 3 Small Music F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Small-Music-GGUF",files:["Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-f16.gguf"],strip_prefix:"Stable-Audio-3-Small-Music-GGUF"},{id:"stable_audio_3_small_sfx_q8_0",display_name:"Stable Audio 3 Small SFX Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Stable-Audio-3-Small-SFX-GGUF",files:["Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-q8_0.gguf"],strip_prefix:"Stable-Audio-3-Small-SFX-GGUF"},{id:"stable_audio_3_small_sfx_f16",display_name:"Stable Audio 3 Small SFX F16 GGUF",format:"gguf",precision:"f16",target_directory:"Stable-Audio-3-Small-SFX-GGUF",files:["Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-f16.gguf"],strip_prefix:"Stable-Audio-3-Small-SFX-GGUF"},{id:"stable_audio_3_medium_safetensors",display_name:"Stable Audio 3 Medium Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-medium",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-medium",gated:!0}},{id:"stable_audio_3_small_music_safetensors",display_name:"Stable Audio 3 Small Music Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-small-music",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-small-music",gated:!0}},{id:"stable_audio_3_small_sfx_safetensors",display_name:"Stable Audio 3 Small SFX Safetensors",format:"safetensors",precision:"native",target_directory:"stable-audio-3-small-sfx",files:["model_config.json","model.safetensors"],download:{kind:"huggingface_snapshot",repo:"stabilityai/stable-audio-3-small-sfx",gated:!0}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{model_config:"model:model_config.json",t5_config:"model:t5gemma-b-b-ul2/config.json",t5_tokenizer_json:"model:t5gemma-b-b-ul2/tokenizer.json",t5_tokenizer_model:"model:t5gemma-b-b-ul2/tokenizer.model",t5_tokenizer_config:"model:t5gemma-b-b-ul2/tokenizer_config.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},t5_weights:{source:"weights:",prefix:"t5_weights"}}},{format:"safetensors",roots:{model:".",t5:"t5gemma-b-b-ul2"},files:{model_config:"model:model_config.json",t5_config:"t5:config.json",t5_tokenizer_json:"t5:tokenizer.json",t5_tokenizer_model:"t5:tokenizer.model",t5_tokenizer_config:"t5:tokenizer_config.json"},tensors:{model_weights:"model:model.safetensors",t5_weights:"t5:model.safetensors"}},{format:"safetensors",roots:{model:".",t5:"../t5-base"},files:{model_config:"model:model_config.json",t5_config:"t5:config.json",t5_tokenizer_json:"t5:tokenizer.json",t5_tokenizer_model:"t5:spiece.model",t5_tokenizer_config:"t5:config.json"},tensors:{model_weights:"model:Foundation_1.safetensors",t5_weights:"t5:model.safetensors"}}]},bg={family:"supertonic",display_name:"Supertonic 3",description:"Supertone on-device TTS model designed for fast local speech synthesis across 31 languages, with preset voices and compact deployment for browser, mobile, and desktop applications.",category:"tts",status:"supported",tasks:["tts"],modes:["offline","streaming"],languages:["en","ko","ja","ar","bg","cs","da","de","el","es","et","fi","fr","hi","hr","hu","id","it","lt","lv","nl","pl","pt","ro","ru","sk","sl","sv","tr","uk","vi"],capabilities:{tts:["built_in_voices","long_form"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"supertonic_3_orig",tags:["TTS","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"supertonic_3_q8_0",display_name:"Supertonic 3 Q8_0 GGUF",format:"gguf",precision:"q8_0",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-q8_0.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_f16",display_name:"Supertonic 3 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-f16.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_orig",display_name:"Supertonic 3 Original-Dtype GGUF",default:!0,format:"gguf",precision:"orig",target_directory:"Supertonic-3-GGUF",files:["Supertonic-3-GGUF/supertonic-3-orig.gguf"],strip_prefix:"Supertonic-3-GGUF"},{id:"supertonic_3_safetensors",display_name:"Supertonic 3 Safetensors",format:"safetensors",precision:"native",target_directory:"supertonic-3",files:["config/tts.json","config/unicode_indexer.json","ggml/supertonic.safetensors"],download:{kind:"huggingface_snapshot",repo:"mlx-community/supertonic-3-mlx"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{tts_config:"model:config/tts.json",unicode_indexer:"model:config/unicode_indexer.json",voice_style_F1:"model:voice_styles/F1.json",voice_style_F2:"model:voice_styles/F2.json",voice_style_F3:"model:voice_styles/F3.json",voice_style_F4:"model:voice_styles/F4.json",voice_style_F5:"model:voice_styles/F5.json",voice_style_M1:"model:voice_styles/M1.json",voice_style_M2:"model:voice_styles/M2.json",voice_style_M3:"model:voice_styles/M3.json",voice_style_M4:"model:voice_styles/M4.json",voice_style_M5:"model:voice_styles/M5.json"},tensors:{weights:{source:"weights:",prefix:"weights"}}},{format:"safetensors",roots:{model:"."},files:{tts_config:"model:config/tts.json",unicode_indexer:"model:config/unicode_indexer.json",voice_style_F1:"model:voice_styles/F1.json",voice_style_F2:"model:voice_styles/F2.json",voice_style_F3:"model:voice_styles/F3.json",voice_style_F4:"model:voice_styles/F4.json",voice_style_F5:"model:voice_styles/F5.json",voice_style_M1:"model:voice_styles/M1.json",voice_style_M2:"model:voice_styles/M2.json",voice_style_M3:"model:voice_styles/M3.json",voice_style_M4:"model:voice_styles/M4.json",voice_style_M5:"model:voice_styles/M5.json"},tensors:{weights:"model:ggml/supertonic.safetensors"}}]},kg={family:"vevo2",display_name:"Vevo2",description:"Unified controllable framework for English and Chinese speech and singing voice generation, voice conversion, and editing, with tokenizers that disentangle content, prosody, melody, style, and timbre.",category:"voice_conversion",status:"supported",tasks:["tts","music","vc","edit","svc","s2s"],modes:["offline"],languages:["en","zh"],capabilities:{music:["lyrics"],vc:["speaker_reference"],svc:["speaker_reference","singing"],s2s:["speaker_reference"],edit:["prompt_editing"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vevo2_q8_0",tags:["TTS","Music","VC","Edit","GGUF"],docs:["docs/models/vevo2.md","docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vevo2_q8_0",display_name:"Vevo2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-q8_0.gguf"],strip_prefix:"Vevo2-GGUF"},{id:"vevo2_f16",display_name:"Vevo2 F16 GGUF",format:"gguf",precision:"f16",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-f16.gguf"],strip_prefix:"Vevo2-GGUF"},{id:"vevo2_orig",display_name:"Vevo2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"Vevo2-GGUF",files:["Vevo2-GGUF/vevo2-orig.gguf"],strip_prefix:"Vevo2-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{ar_config:"model:contentstyle_modeling/posttrained/config.json",ar_amphion_config:"model:contentstyle_modeling/posttrained/amphion_config.json",ar_generation_config:"model:contentstyle_modeling/posttrained/generation_config.json",ar_tokenizer_config:"model:contentstyle_modeling/posttrained/tokenizer_config.json",ar_tokenizer_json:"model:contentstyle_modeling/posttrained/tokenizer.json",ar_vocab:"model:contentstyle_modeling/posttrained/vocab.json",ar_merges:"model:contentstyle_modeling/posttrained/merges.txt",ar_added_tokens:"model:contentstyle_modeling/posttrained/added_tokens.json",ar_special_tokens:"model:contentstyle_modeling/posttrained/special_tokens_map.json",fm_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/config.json",fm_text_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/config.json",vocoder_config:"model:vocoder/config.json",whisper_config:"model:whisper-medium/config.json"},tensors:{content_style_tokenizer_weights:{source:"weights:",prefix:"content_style_tokenizer_weights"},prosody_tokenizer_weights:{source:"weights:",prefix:"prosody_tokenizer_weights"},ar_weights:{source:"weights:",prefix:"ar_weights"},fm_weights:{source:"weights:",prefix:"fm_weights"},fm_whisper_stats:{source:"weights:",prefix:"fm_whisper_stats"},fm_text_weights:{source:"weights:",prefix:"fm_text_weights"},fm_text_whisper_stats:{source:"weights:",prefix:"fm_text_whisper_stats"},vocoder_weights_0:{source:"weights:",prefix:"vocoder_weights_0"},vocoder_weights_1:{source:"weights:",prefix:"vocoder_weights_1"},vocoder_weights_2:{source:"weights:",prefix:"vocoder_weights_2"},whisper_weights:{source:"weights:",prefix:"whisper_weights"}}},{format:"safetensors",roots:{model:".",whisper:"../whisper-medium"},files:{ar_config:"model:contentstyle_modeling/posttrained/config.json",ar_amphion_config:"model:contentstyle_modeling/posttrained/amphion_config.json",ar_generation_config:"model:contentstyle_modeling/posttrained/generation_config.json",ar_tokenizer_config:"model:contentstyle_modeling/posttrained/tokenizer_config.json",ar_tokenizer_json:"model:contentstyle_modeling/posttrained/tokenizer.json",ar_vocab:"model:contentstyle_modeling/posttrained/vocab.json",ar_merges:"model:contentstyle_modeling/posttrained/merges.txt",ar_added_tokens:"model:contentstyle_modeling/posttrained/added_tokens.json",ar_special_tokens:"model:contentstyle_modeling/posttrained/special_tokens_map.json",fm_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/config.json",fm_text_config:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/config.json",vocoder_config:"model:vocoder/config.json",whisper_config:"whisper:config.json"},tensors:{content_style_tokenizer_weights:"model:tokenizer/contentstyle_fvq16384_12.5hz/model.safetensors",prosody_tokenizer_weights:"model:tokenizer/prosody_fvq512_6.25hz/model.safetensors",ar_weights:"model:contentstyle_modeling/posttrained/model.safetensors",fm_weights:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/model.safetensors",fm_whisper_stats:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa/whisper_stats.safetensors",fm_text_weights:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/model.safetensors",fm_text_whisper_stats:"model:acoustic_modeling/fm_emilia101k_singnet7k_repa_text/whisper_stats.safetensors",vocoder_weights_0:"model:vocoder/model.safetensors",vocoder_weights_1:"model:vocoder/model_1.safetensors",vocoder_weights_2:"model:vocoder/model_2.safetensors",whisper_weights:"whisper:model.safetensors"}}]},wg={family:"vibevoice",display_name:"VibeVoice",description:"Microsoft long-form multi-speaker TTS model for expressive conversational audio such as podcasts, supporting up to 90 minutes of speech with as many as four speakers.",category:"tts",status:"supported",tasks:["tts"],modes:["offline"],languages:["en","zh"],capabilities:{tts:["multi_speaker","long_form"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vibevoice_1_5b_q8_0",tags:["TTS","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vibevoice_1_5b_q8_0",display_name:"VibeVoice 1.5B Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VibeVoice-1.5B-GGUF",files:["VibeVoice-1.5B-GGUF/vibevoice-1.5b-q8_0.gguf"],strip_prefix:"VibeVoice-1.5B-GGUF"},{id:"vibevoice_1_5b_bf16",display_name:"VibeVoice 1.5B BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"VibeVoice-1.5B-GGUF",files:["VibeVoice-1.5B-GGUF/vibevoice-1.5b-bf16.gguf"],strip_prefix:"VibeVoice-1.5B-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},tensors:{model_weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",preprocessor_config:"model:preprocessor_config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},tensors:{model_weights:"model:model.safetensors.index.json"}}]},xg={family:"vibevoice_asr",display_name:"VibeVoice ASR",description:"Microsoft long-form speech-to-text model that processes up to 60 minutes of audio in one pass and produces structured transcripts with speakers, timestamps, content, hotwords, and 50+ language support.",category:"asr",status:"supported",tasks:["asr"],modes:["offline"],languages:["auto","51 languages"],capabilities:{asr:["segments","speaker_turns","vad_chunking"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vibevoice_asr_q8_0",tags:["ASR","GGUF"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"vibevoice_asr_q8_0",display_name:"VibeVoice ASR Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VibeVoice-ASR-GGUF",files:["VibeVoice-ASR-GGUF/vibevoice-asr-q8_0.gguf"],strip_prefix:"VibeVoice-ASR-GGUF"},{id:"vibevoice_asr_f16",display_name:"VibeVoice ASR F16 GGUF",format:"gguf",precision:"f16",target_directory:"VibeVoice-ASR-GGUF",files:["VibeVoice-ASR-GGUF/vibevoice-asr-f16.gguf"],strip_prefix:"VibeVoice-ASR-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},optional_files:{preprocessor_config:"model:preprocessor_config.json"},tensors:{model_weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",tokenizer_vocab:"model:vocab.json",tokenizer_merges:"model:merges.txt"},optional_files:{preprocessor_config:"model:preprocessor_config.json"},tensors:{model_weights:"model:model.safetensors.index.json"}}]},$g={family:"vietneu_tts",display_name:"VieNeu-TTS v3 Turbo",description:"On-device Vietnamese TTS model with instant voice cloning from 3-5 seconds of reference audio, English-Vietnamese code-switching, streaming playback, batched generation, and conversation mode.",category:"tts",status:"community",tasks:["tts","clone"],modes:["offline"],languages:["vi","en"],capabilities:{clone:["speaker_reference"]},runtime:{tags:["gguf"]},ui:{recommended_package:"vietneu_tts_v3_turbo_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/community_models/vietneu_tts.md","docs/tts.md","docs/gguf.md"]},packages:[{id:"vietneu_tts_v3_turbo_q8_0",display_name:"VieNeu-TTS v3 Turbo GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VieNeu-TTS-v3-Turbo-GGUF",files:["model.gguf"],strip_prefix:".",download:{kind:"huggingface_snapshot",repo:"phuocnguyen90/VieNeu-TTS-v3-Turbo-GGUF"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json"},optional_files:{generation_config:"model:generation_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{model_weights:{source:"weights:",prefix:"model_weights"},speech_tokenizer_weights:{source:"weights:",prefix:"speech_tokenizer_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",speech_tokenizer_config:"model:speech_tokenizer/config.json"},optional_files:{generation_config:"model:generation_config.json",vocab:"model:vocab.json",merges:"model:merges.txt",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{model_weights:"model:model.safetensors",speech_tokenizer_weights:"model:speech_tokenizer/model.safetensors"}}]},Sg={family:"voxcpm2",display_name:"VoxCPM2",description:"OpenBMB tokenizer-free TTS model supporting 30 languages and 9 Chinese dialects, with 48 kHz output, natural-language voice design, controllable short-reference voice cloning, and expressive style guidance.",category:"tts",status:"supported",tasks:["tts","clone","design"],modes:["offline","streaming"],languages:["ar","my","zh","zh dialects","da","nl","en","fi","fr","de","el","he","hi","id","it","ja","km","ko","lo","ms","no","pl","pt","ru","es","sw","sv","tl","th","tr","vi"],capabilities:{clone:["speaker_reference"],design:["voice_design"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"voxcpm2_q8_0",tags:["TTS","Clone","Design","GGUF","Stream"],docs:["docs/tts.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"voxcpm2_q8_0",display_name:"VoxCPM2 Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-q8_0.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_bf16",display_name:"VoxCPM2 BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-bf16.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_orig",display_name:"VoxCPM2 Original-Dtype GGUF",format:"gguf",precision:"orig",target_directory:"VoxCPM2-GGUF",files:["VoxCPM2-GGUF/voxcpm2-orig.gguf"],strip_prefix:"VoxCPM2-GGUF"},{id:"voxcpm2_safetensors",display_name:"VoxCPM2 Safetensors",format:"safetensors",precision:"native",target_directory:"VoxCPM2",files:["config.json","model.safetensors","tokenizer.json","tokenizer_config.json"],download:{kind:"huggingface_snapshot",repo:"OpenBMB/VoxCPM2"}}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{weights:{source:"weights:",prefix:"weights"},audiovae_weights:{source:"weights:",prefix:"audiovae_weights"}}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",tokenizer_config:"model:tokenizer_config.json",tokenizer_json:"model:tokenizer.json",special_tokens_map:"model:special_tokens_map.json"},tensors:{weights:"model:model.safetensors",audiovae_weights:"model:audiovae.safetensors"}}]},Gg={family:"voxtral_realtime",display_name:"Voxtral Mini 4B Realtime",description:"Mistral 13-language realtime ASR model with a natively streaming causal audio encoder, configurable low-latency transcription delay, and accuracy competitive with offline open-source systems.",category:"asr",status:"supported",tasks:["asr"],modes:["offline","streaming"],languages:["en","zh","hi","es","ar","fr","pt","ru","de","ja","ko","it","nl"],capabilities:{asr:["partial_results"]},runtime:{tags:["gguf","stream"]},ui:{recommended_package:"voxtral_realtime_q8_0",tags:["ASR","GGUF","Stream"],docs:["docs/asr.md","docs/gguf.md"]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"voxtral_realtime_q8_0",display_name:"Voxtral Mini 4B Realtime Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q8_0.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"},{id:"voxtral_realtime_q4_k",display_name:"Voxtral Mini 4B Realtime Q4_K GGUF",format:"gguf",precision:"q4_k",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q4_k.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"},{id:"voxtral_realtime_bf16",display_name:"Voxtral Mini 4B Realtime BF16 GGUF",format:"gguf",precision:"bf16",target_directory:"Voxtral-Mini-4B-Realtime-2602-GGUF",files:["Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-bf16.gguf"],strip_prefix:"Voxtral-Mini-4B-Realtime-2602-GGUF"}],sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tekken:"model:tekken.json"},optional_files:{params:"model:params.json",readme:"model:README.md"},tensors:{weights:"weights:"}},{format:"safetensors",roots:{model:"."},files:{config:"model:config.json",generation_config:"model:generation_config.json",processor_config:"model:processor_config.json",tekken:"model:tekken.json"},optional_files:{params:"model:params.json",readme:"model:README.md"},tensors:{weights:"model:model.safetensors"}}]},Tg={models:JSON.parse('[{"id":"omnivoice","display_name":"OmniVoice (tts)","family":"omnivoice","path":"models/OmniVoice","task":"tts","mode":"offline","download_id":"omnivoice","min_vram_gb":10},{"id":"pocket-tts","display_name":"Pocket TTS (tts)","family":"pocket_tts","path":"models/pocket-tts","task":"tts","mode":"offline","download_id":"pocket_tts","min_vram_gb":2},{"id":"dots-tts-soar","display_name":"DotTTS SOAR (tts + clone)","family":"dots_tts","path":"models/DotTTS-SOAR-GGUF","task":"tts","mode":"offline","download_id":"dots_tts_soar_q8_0","min_vram_gb":8},{"id":"dots-tts-meanflow","display_name":"DotTTS MeanFlow (tts + clone)","family":"dots_tts","path":"models/DotTTS-MF-GGUF","task":"tts","mode":"offline","download_id":"dots_tts_mf_q8_0","min_vram_gb":8},{"id":"neutts-2e","display_name":"NeuTTS 2E (tts, preset voices)","family":"neutts","path":"models/NeuTTS-2E-GGUF","task":"tts","mode":"offline","download_id":"neutts_2e_orig","min_vram_gb":4},{"id":"qwen3-tts","display_name":"Qwen3-TTS 0.6B (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-0.6B-Base","task":"tts","mode":"offline","download_id":"qwen3_tts_0_6b_base","min_vram_gb":5},{"id":"qwen3-tts-1.7b","display_name":"Qwen3-TTS 1.7B Base (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-Base","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_base","min_vram_gb":8},{"id":"qwen3-tts-1.7b-custom","display_name":"Qwen3-TTS 1.7B CustomVoice (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-CustomVoice","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_custom_voice","min_vram_gb":8},{"id":"miotts","display_name":"MioTTS 1.7B (tts; needs MioCodec)","family":"miotts","path":"models/MioTTS-1.7B","task":"tts","mode":"offline","download_id":"miotts_1_7b","min_vram_gb":8},{"id":"voxcpm2","display_name":"VoxCPM2 (tts)","family":"voxcpm2","path":"models/VoxCPM2","task":"tts","mode":"offline","download_id":"voxcpm2","session_options":{"voxcpm2.weight_type":"q8_0"},"min_vram_gb":6},{"id":"vibevoice","display_name":"VibeVoice 1.5B (tts, long-form/multi-speaker)","family":"vibevoice","path":"models/VibeVoice-1.5B","task":"tts","mode":"offline","download_id":"vibevoice_1_5b","min_vram_gb":7},{"id":"index-tts2","display_name":"IndexTTS2 (tts 中英克隆+情感)","display_name_en":"IndexTTS2 (tts, zh/en clone + emotion)","family":"index_tts2","path":"models/IndexTTS-2","task":"tts","mode":"offline","download_id":"index_tts2","min_vram_gb":8},{"id":"index-tts2.5","display_name":"IndexTTS2.5 (tts 多语种克隆+情感, GGUF Q8)","display_name_en":"IndexTTS2.5 (tts, zh/en/ja/es/ar clone + emotion, GGUF Q8)","family":"index_tts2","path":"models/IndexTTS2.5-GGUF","task":"tts","mode":"offline","download_id":"index_tts2_5_q8_0","min_vram_gb":8,"input_hint":"**IndexTTS2.5**：中/英/日/西/阿零样本克隆；上传参考音色即克隆；可在『其它参数(JSON)』里传 `lang`（默认 auto：含汉字按中文，否则按英文）与情感选项。许可证为 bilibili Model Use License（非 OSI），商用前请确认条款。","input_hint_en":"**IndexTTS2.5**: zero-shot cloning in zh/en/ja/es/ar. Upload a reference voice to clone; pass `lang` (default auto: zh when the text contains Han characters, otherwise en) and emotion options through the JSON box. Weights are under the bilibili Model Use License (not OSI-approved) — check terms before commercial use."},{"id":"irodori-tts","display_name":"Irodori-TTS v4 Small (tts 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small (ja tts, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF","task":"tts","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 Small**：日语 TTS；可不上传参考音色直接生成，也可上传参考音色进行克隆；可在声音设计页用日语 caption 描述音色。","input_hint_en":"**Irodori-TTS v4 Small**: Japanese TTS. Generate without a reference voice, clone from an uploaded reference, or use the voice-design page with a Japanese voice caption."},{"id":"irodori-tts-v3-500m","display_name":"Irodori-TTS 500M v3 (tts 日语)","display_name_en":"Irodori-TTS 500M v3 (ja tts)","family":"irodori_tts","path":"models/Irodori-TTS-500M-v3-GGUF","task":"tts","mode":"offline","download_id":"irodori_tts_500m_v3_q8_0","min_vram_gb":4},{"id":"moss-tts-local","display_name":"MOSS-TTS-Local v1.5 (tts)","family":"moss_tts_local","path":"models/MOSS-TTS-Local-Transformer-v1.5","task":"tts","mode":"offline","download_id":"moss_tts_local_v1_5","min_vram_gb":8},{"id":"moss-tts-nano","display_name":"MOSS-TTS-Nano 100M (tts)","family":"moss_tts_nano","path":"models/MOSS-TTS-Nano-100M","task":"tts","mode":"offline","download_id":"moss_tts_nano_100m","min_vram_gb":2},{"id":"supertonic","display_name":"Supertonic 3 (tts 预置音色/多语种)","display_name_en":"Supertonic 3 (tts, preset voices)","family":"supertonic","path":"models/supertonic-3","task":"tts","mode":"offline","download_id":"supertonic_3","min_vram_gb":2},{"id":"higgs-audio-tts","display_name":"Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)","display_name_en":"Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)","family":"higgs_audio_tts","path":"models/Higgs-Audio-v3-TTS-4B-GGUF","task":"tts","mode":"offline","download_id":"higgs_audio_v3_tts_4b","min_vram_gb":6,"input_hint":"**Higgs Audio v3 TTS**：Q8_0 GGUF 包（权重已量化，不用再设 weight_type）；上传参考音色即声音克隆，留空用默认音色；长文本自动分段。","input_hint_en":"**Higgs Audio v3 TTS**: Q8_0 GGUF package (already quantized — no weight_type needed). Upload a reference voice to clone, or leave it empty for the default voice; long text is chunked automatically."},{"id":"fish-audio-s2-pro","display_name":"Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)","display_name_en":"Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)","family":"fish_audio","path":"models/Fish-Audio-S2-Pro-GGUF","task":"tts","mode":"offline","download_id":"fish_audio_s2_pro","min_vram_gb":8,"input_hint":"**Fish Audio S2 Pro**：Q8_0 GGUF 包；中英+自动语种；上传参考音色即克隆；正文里可写行内控制标记（如 (laugh)）。","input_hint_en":"**Fish Audio S2 Pro**: Q8_0 GGUF package; English/Chinese plus auto language. Upload a reference voice to clone; inline control tags such as (laugh) can be written in the text."},{"id":"glm-tts","display_name":"GLM-TTS (tts 克隆, 社区)","display_name_en":"GLM-TTS (tts + clone, community)","family":"glm_tts","path":"models/GLM-TTS","task":"tts","mode":"offline","download_id":"glm_tts","min_vram_gb":8,"input_hint":"**GLM-TTS**（社区模型）：中英 TTS / voice clone；上传参考音色即克隆。","input_hint_en":"**GLM-TTS** (community): Chinese/English TTS and voice clone. Upload a reference voice to clone."},{"id":"outetts","display_name":"Llama-OuteTTS 1.0 1B (tts 克隆, 社区)","display_name_en":"Llama-OuteTTS 1.0 1B (tts + clone, community)","family":"outetts","path":"models/Llama-OuteTTS-1.0-1B","task":"tts","mode":"offline","download_id":"outetts_1_0_1b","min_vram_gb":4,"input_hint":"**OuteTTS 1.0 1B**（社区模型）：23 种语言，DAC 编解码；上传参考音色即克隆。","input_hint_en":"**OuteTTS 1.0 1B** (community): 23 languages, IBM DAC codec. Upload a reference voice to clone."},{"id":"vietneu-tts","display_name":"VieNeu-TTS v3 Turbo (tts 越南语, 社区)","display_name_en":"VieNeu-TTS v3 Turbo (vi tts, community)","family":"vietneu_tts","path":"models/VieNeu-TTS-v3-Turbo","task":"tts","mode":"offline","download_id":"vietneu_tts_v3_turbo","min_vram_gb":4,"input_hint":"**VieNeu-TTS v3 Turbo**（社区模型）：越南语 / 英语；上传参考音色即克隆。","input_hint_en":"**VieNeu-TTS v3 Turbo** (community): Vietnamese and English. Upload a reference voice to clone."},{"id":"inflect-v2","display_name":"Inflect Micro v2 (tts 英语, 社区)","display_name_en":"Inflect Micro v2 (en tts, community)","family":"inflect_v2","path":"models/Inflect-Micro-v2","task":"tts","mode":"offline","download_id":"inflect_micro_v2","min_vram_gb":2,"input_hint":"**Inflect Micro v2**（社区模型）：英语离线 TTS；Micro 是默认包，Nano 可通过模型管理器另装后手动选择路径。","input_hint_en":"**Inflect Micro v2** (community): English offline TTS. Micro is the default package; Nano can be installed separately and selected manually."},{"id":"dramabox","display_name":"DramaBox (tts 克隆, GGUF Q8)","display_name_en":"DramaBox (tts + clone, GGUF Q8)","family":"dramabox","path":"models/DramaBox-GGUF","task":"tts","mode":"offline","download_id":"dramabox_q8_0","min_vram_gb":16,"input_hint":"**DramaBox**：英语 TTS / voice clone；上传参考音色可克隆，长文本建议写清楚说话人描述。","input_hint_en":"**DramaBox**: English TTS and voice clone. Upload a reference voice to clone; for long text, keep speaker wording explicit."},{"id":"confucius4-tts","display_name":"Confucius4-TTS (voice clone, GGUF)","display_name_en":"Confucius4-TTS (voice clone, GGUF)","family":"confucius4_tts","path":"models/Confucius4-TTS-GGUF","task":"clon","mode":"offline","download_id":"confucius4_tts_orig","min_vram_gb":8,"input_hint":"**Confucius4-TTS**：需要参考音色；当前中文/英语路径更可靠，非中英语种仍在验证中。","input_hint_en":"**Confucius4-TTS**: requires a reference voice. Chinese/English are the most reliable paths; other languages are still being validated."},{"id":"chatterbox","display_name":"Chatterbox (voice clone)","family":"chatterbox","path":"models/chatterbox","task":"clon","mode":"offline","download_id":"chatterbox","min_vram_gb":12},{"id":"ace-step","display_name":"ACE-Step 1.5 (music gen)","family":"ace_step","path":"models/Ace-Step1.5","task":"gen","mode":"offline","download_id":"ace_step","session_options":{"ace_step.mem_saver":"true","ace_step.dit_weight_type":"q8_0","ace_step.text_encoder_weight_type":"q8_0","ace_step.planner_weight_type":"q8_0"},"min_vram_gb":8},{"id":"stable-audio-small-music","display_name":"Stable Audio 3 Small Music (gen)","family":"stable_audio","path":"models/stable-audio-3-small-music","task":"gen","mode":"offline","download_id":"stable_audio_3_small_music","min_vram_gb":4},{"id":"stable-audio-small-sfx","display_name":"Stable Audio 3 Small SFX (gen)","family":"stable_audio","path":"models/stable-audio-3-small-sfx","task":"gen","mode":"offline","download_id":"stable_audio_3_small_sfx","min_vram_gb":4},{"id":"stable-audio-medium","display_name":"Stable Audio 3 Medium (gen)","family":"stable_audio","path":"models/stable-audio-3-medium","task":"gen","mode":"offline","download_id":"stable_audio_3_medium","session_options":{"stable_audio.mem_saver":"true"},"min_vram_gb":10},{"id":"heartmula","display_name":"HeartMuLa 3B (music gen)","family":"heartmula","path":"models/HeartMuLa","task":"gen","mode":"offline","download_id":"heartmula","session_options":{"heartmula.mem_saver":"true"},"min_vram_gb":24},{"id":"minimax-h3","display_name":"MiniMax-H3 Q4 (sound generation)","family":"minimax_h3","path":"models/MiniMax-H3-Q4-GGUF/dit.gguf","task":"gen","mode":"offline","download_id":"minimax_h3","min_vram_gb":20,"default_options":{"num_inference_steps":12,"height":32,"width":32,"num_frames":241,"guidance_scale":1,"dit_acceleration":"none","return_video":false},"input_hint_en":"MiniMax-H3 uses a joint audio/video DiT. The default Q4 DiT is the quality-first choice; the optional CUDA-only INT8 ConvRot DiT trades slightly more VRAM for higher speed. Native Studio uses 12 denoising steps, a 32x32 latent canvas, quality-first full-DiT execution, and disables video decoding for practical audio-only generation on a 24 GB GPU."},{"id":"qwen3-asr","display_name":"Qwen3-ASR 0.6B (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-0.6B","task":"asr","mode":"offline","download_id":"qwen3_asr_0_6b","min_vram_gb":3},{"id":"qwen3-asr-1.7b","display_name":"Qwen3-ASR 1.7B HF (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-1.7B-hf","task":"asr","mode":"offline","download_id":"qwen3_asr_1_7b_hf","min_vram_gb":6,"input_hint":"**Qwen3-ASR 1.7B**（HF 原生权重，免转换）：精度高于 0.6B；长音频自动分段转写；8G 卡显存偏紧，长音频建议先短段试跑。","input_hint_en":"**Qwen3-ASR 1.7B**: native Hugging Face weights with no conversion required. It is more accurate than the 0.6B model and automatically chunks long audio; test short clips first on an 8 GB GPU."},{"id":"citrinet-asr","display_name":"Citrinet ASR (asr)","family":"citrinet_asr","path":"models/citrinet","task":"asr","mode":"offline","download_id":"citrinet_asr","min_vram_gb":2},{"id":"nemotron-asr","display_name":"Nemotron 3.5 ASR 0.6B (asr, 100+语种)","display_name_en":"Nemotron 3.5 ASR 0.6B (asr, 100+ languages)","family":"nemotron_asr","path":"models/nemotron-3.5-asr-streaming-0.6b","task":"asr","mode":"offline","download_id":"nemotron_asr","min_vram_gb":4,"input_hint":"**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。","input_hint_en":"**Nemotron ASR**: supports more than 100 languages using BCP-47 codes such as en-US or zh-CN. Leave language blank for automatic detection; long audio is handled by the model."},{"id":"higgs-audio-stt","display_name":"Higgs Audio v3 STT (asr, 英语)","display_name_en":"Higgs Audio v3 STT (asr, English)","family":"higgs_audio_stt","path":"models/higgs-audio-v3-stt","task":"asr","mode":"offline","download_id":"higgs_audio_stt","min_vram_gb":8,"input_hint":"**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。","input_hint_en":"**Higgs Audio STT**: English transcription. The text box accepts an instruction; offline mode automatically chunks long audio."},{"id":"hviske-asr","display_name":"Hviske v5.3 (asr, 丹麦语)","display_name_en":"Hviske v5.3 (asr, Danish)","family":"hviske_asr","path":"models/hviske-v5.3","task":"asr","mode":"offline","download_id":"hviske_asr","min_vram_gb":6,"input_hint":"**Hviske ASR**：丹麦语专用；模型侧自动分段。","input_hint_en":"**Hviske ASR**: dedicated Danish transcription with automatic model-side segmentation."},{"id":"vibevoice-asr","display_name":"VibeVoice ASR (asr, 多语种+说话人分段)","display_name_en":"VibeVoice ASR (asr, multilingual + speaker turns)","family":"vibevoice_asr","path":"models/VibeVoice-ASR","task":"asr","mode":"offline","download_id":"vibevoice_asr","min_vram_gb":20,"input_hint":"**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。","input_hint_en":"**VibeVoice ASR**: automatic language detection with segment and speaker-turn output. The text box accepts a context prompt. Its 17.3 GB weights require substantially more than 8 GB VRAM."},{"id":"voxtral-realtime","display_name":"Voxtral Mini 4B Realtime (asr, 自动语种+流式)","display_name_en":"Voxtral Mini 4B Realtime (asr, auto + streaming)","family":"voxtral_realtime","path":"models/Voxtral-Mini-4B-Realtime-2602-GGUF","task":"asr","mode":"offline","download_id":"voxtral_realtime","min_vram_gb":8},{"id":"fun-asr-nano","display_name":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","display_name_en":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","family":"fun_asr_nano","path":"models/Fun-ASR-Nano-2512-GGUF","task":"asr","mode":"offline","download_id":"fun_asr_nano_2512_q8_0","min_vram_gb":4,"input_hint":"**Fun-ASR-Nano**：轻量离线 ASR；支持 auto/中文/英语/日语。","input_hint_en":"**Fun-ASR-Nano**: lightweight offline ASR; supports auto, Chinese, English and Japanese."},{"id":"parakeet-tdt","display_name":"Parakeet-TDT 0.6B v3 (asr, 流式)","display_name_en":"Parakeet-TDT 0.6B v3 (asr + streaming)","family":"parakeet_tdt","path":"models/parakeet-tdt-0.6b-v3","task":"asr","mode":"offline","download_id":"parakeet_tdt","min_vram_gb":4,"input_hint":"**Parakeet-TDT**：离线/长音频/流式 ASR；支持多种欧洲语言，留空=自动。","input_hint_en":"**Parakeet-TDT**: offline, long-form and streaming ASR for many European languages; leave language empty for auto."},{"id":"kroko-asr","display_name":"Kroko Community ASR (asr, GGUF Q8)","display_name_en":"Kroko Community ASR (asr, GGUF Q8)","family":"kroko_asr","path":"models/Kroko-ASR-GGUF","task":"asr","mode":"offline","download_id":"kroko_asr_community_q8_0","min_vram_gb":4,"input_hint":"**Kroko Community ASR**：GGUF Q8 包；离线转写，支持时间戳。","input_hint_en":"**Kroko Community ASR**: GGUF Q8 package for offline transcription with timestamps."},{"id":"sense-asr","display_name":"SenseVoice-Small (asr, 流式, 社区)","display_name_en":"SenseVoice-Small (asr + streaming, community)","family":"sense_asr","path":"models/SenseVoice-Small-GGUF","task":"asr","mode":"offline","download_id":"sensevoice_small_q8","min_vram_gb":4,"input_hint":"**SenseVoice-Small**（社区模型）：多语种 ASR，事件/情感/语言标签，ITN 可开关；离线与流式模式。","input_hint_en":"**SenseVoice-Small** (community): multilingual ASR with event/emotion/language tags, optional ITN; offline and streaming modes."},{"id":"chatterbox-vc","display_name":"Chatterbox (vc 声音转换)","display_name_en":"Chatterbox (voice conversion)","family":"chatterbox","path":"models/chatterbox","task":"vc","mode":"offline","download_id":"chatterbox","min_vram_gb":12,"input_hint":"**Chatterbox VC**：上传源语音和目标音色参考；模型保留源语音内容，将说话人音色转换为目标音色，输出 24kHz 单声道。","input_hint_en":"**Chatterbox VC**: upload source speech and a target-voice reference. It preserves the source content and converts the speaker identity; output is 24 kHz mono."},{"id":"vevo2","display_name":"Vevo2 (vc 语音转换, GGUF Q8)","display_name_en":"Vevo2 (voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"vc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6},{"id":"vevo2-svc","display_name":"Vevo2 (svc 歌声转换, GGUF Q8)","display_name_en":"Vevo2 (singing voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"svc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。","input_hint_en":"**Vevo2 singing conversion**: upload source singing and a target-singer reference. The default route is style_preserved_svc; style-conversion routes also accept style_ref, style_ref_text and target_text in Additional options."},{"id":"vevo2-s2s","display_name":"Vevo2 (s2s 语音编辑, GGUF Q8)","display_name_en":"Vevo2 (speech editing, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"s2s","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\\"target_text\\": \\"替换后的完整句子\\"}`（编辑保持原说话人音色，可不上传目标音色）。","input_hint_en":"**Vevo2 speech editing**: upload source speech and set target_text to the complete replacement sentence in Additional options. Editing preserves the original speaker and does not require a target-voice reference."},{"id":"seed-vc","display_name":"Seed-VC (vc 语音转换)","display_name_en":"Seed-VC (voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"vc","mode":"offline","download_id":"seed_vc","min_vram_gb":4},{"id":"seed-vc-svc","display_name":"Seed-VC (svc 歌声转换)","display_name_en":"Seed-VC (singing voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"svc","mode":"offline","download_id":"seed_vc","min_vram_gb":4,"input_hint":"**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。","input_hint_en":"**Seed-VC singing conversion**: upload source singing and a target-singer reference. The default route is v1_svc with F0 conditioning."},{"id":"rvc","display_name":"RVC (vc, GGUF F16)","display_name_en":"RVC (voice conversion, GGUF F16)","family":"rvc","path":"models/RVC-GGUF","task":"vc","mode":"offline","download_id":"rvc_f16","min_vram_gb":4,"input_hint":"**RVC**：所选 GGUF 即目标音色；上传源语音即可转换；索引/音高等选项可用 JSON 传。","input_hint_en":"**RVC**: the selected GGUF is the target voice; upload source speech to convert. Index and pitch options can be passed through the JSON box."},{"id":"miocodec","display_name":"MioCodec (vc; codec dependency)","family":"miocodec","path":"models/MioCodec-25Hz-44.1kHz-v2","task":"vc","mode":"offline","download_id":"miocodec_25hz_44k_v2","min_vram_gb":3},{"id":"htdemucs","display_name":"HTDemucs (sep 音源分离)","display_name_en":"HTDemucs (source separation)","family":"htdemucs","path":"models/htdemucs","task":"sep","mode":"offline","download_id":"htdemucs","min_vram_gb":3},{"id":"bs-roformer","display_name":"BS-RoFormer (sep 人声分离)","display_name_en":"BS-RoFormer (vocal separation)","family":"bs_roformer","path":"models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf","task":"sep","mode":"offline","download_id":"bs_roformer_q8_0","min_vram_gb":3},{"id":"mel-band-roformer","display_name":"Mel-Band RoFormer (sep 人声分离)","display_name_en":"Mel-Band RoFormer (vocal separation)","family":"mel_band_roformer","path":"models/mel-roformer-mlx","task":"sep","mode":"offline","download_id":"mel_band_roformer","min_vram_gb":3},{"id":"silero-vad","display_name":"Silero VAD (vad, bundled)","family":"silero_vad","path":"assets/framework/models/silero_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"marblenet-vad","display_name":"MarbleNet VAD (vad, bundled)","family":"marblenet_vad","path":"assets/framework/models/marblenet_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"sortformer-diar","display_name":"Sortformer Diarization 4spk (diar)","family":"sortformer_diar","path":"models/diar_sortformer_4spk-v1","task":"diar","mode":"offline","download_id":"sortformer_diar_4spk_v1","min_vram_gb":2},{"id":"qwen3-forced-aligner","display_name":"Qwen3 Forced Aligner (align)","family":"qwen3_forced_aligner","path":"models/Qwen3-ForcedAligner-0.6B","task":"align","mode":"offline","download_id":"qwen3_forced_aligner_0_6b","min_vram_gb":3},{"id":"muscriptor-small","display_name":"MuScriptor Small (audio to MIDI)","family":"muscriptor","path":"models/MuScriptor-Small-GGUF","task":"midi","mode":"offline","download_id":"muscriptor_small_f32","min_vram_gb":4},{"id":"qwen3-tts-1.7b-vdesign","display_name":"Qwen3-TTS 1.7B VoiceDesign (vdes)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-VoiceDesign","task":"vdes","mode":"offline","download_id":"qwen3_tts_1_7b_voice_design","min_vram_gb":8,"input_hint":"**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。","input_hint_en":"**Qwen3-TTS VoiceDesign**: describe the desired voice, then enter the text to synthesize. No reference recording is required."},{"id":"irodori-tts-vdesign","display_name":"Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v4 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."},{"id":"irodori-tts-v3-vdesign","display_name":"Irodori-TTS 600M v3 VoiceDesign (vdes 日语)","display_name_en":"Irodori-TTS 600M v3 VoiceDesign (ja vdes)","family":"irodori_tts","path":"models/Irodori-TTS-600M-v3-VoiceDesign-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_600m_v3_voicedesign_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."}]')},qg={_comment:"WebUI TTS 高级参数控件配置：按模型 family 动态生成控件（gr.render）。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/info=显示文案；default=默认值(应等于模型默认，已按 src/models/<family>/*.cpp 校对)；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。规则：只有被用户改动过的控件值才会随请求发送；seed/max_tokens 已有专用输入框，勿在此重复；参考文本用『参考文本』框(reference_text)；文件路径/parity 类参数(如 *_noise_file)未纳入，可用『其它参数(JSON)』兜底框传。",qwen3_tts:[{name:"temperature",type:"slider",label:"temperature",default:.9,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.05,minimum:1,maximum:2,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"instruct",type:"text",label:"instruct（仅 VoiceDesign/CustomVoice）",default:"",placeholder:"风格/音色指令，Base 版忽略"},{name:"speaker",type:"text",label:"speaker（仅 CustomVoice）",default:"",placeholder:"内置音色名，其它版忽略"}],vibevoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"扩散步数（官方默认 10），越大越慢越稳"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1.3,minimum:0,maximum:5,step:.1,info:"CFG 引导强度"},{name:"max_length_times",type:"number",label:"max_length_times",default:2,minimum:.1,step:.1,info:"最大输出长度倍数"},{name:"temperature",type:"slider",label:"temperature",default:1,minimum:.05,maximum:2,step:.05},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:.05,maximum:1,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!1},{name:"voice_samples",type:"text",label:"voice_samples（多说话人，逗号分隔 wav，≤4）",default:"",placeholder:"D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色"}],voxcpm2:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"CFM/DiT 步数"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"min_tokens",type:"number",label:"min_tokens",default:2,minimum:0,step:1,precision:0},{name:"retry_badcase",type:"bool",label:"retry_badcase（自动重试异常输出）",default:!0}],miotts:[{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:1.5,step:.01},{name:"best_of_n",type:"number",label:"best_of_n（候选数，>1 自动开启）",default:1,minimum:1,maximum:8,step:1,precision:0}],chatterbox:[{name:"exaggeration",type:"slider",label:"exaggeration",default:.5,minimum:0,maximum:2,step:.05,info:"改动后需重新『加载模型』才生效"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.5,minimum:0,maximum:1,step:.05,info:"改动后需重新『加载模型』才生效"},{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.2,minimum:1,maximum:2,step:.01}],"chatterbox-vc":[{name:"s3gen_cfg_rate",type:"slider",label:"s3gen_cfg_rate（音色引导强度）",label_en:"s3gen_cfg_rate (voice guidance)",default:.7,minimum:0,maximum:2,step:.05},{name:"num_inference_steps",type:"number",label:"num_inference_steps（生成步数）",label_en:"num_inference_steps",default:10,minimum:1,maximum:100,step:1,precision:0}],omnivoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:32,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"speed",type:"slider",label:"speed",default:1,minimum:.5,maximum:2,step:.05},{name:"instruct",type:"text",label:"instruct（风格/音色指令）",default:"",placeholder:"如：以轻快的语气朗读"}],sense_asr:[{name:"enable_itn",type:"bool",label:"enable_itn（逆文本规范化）",label_en:"enable_itn",default:!0},{name:"keep_tags",type:"bool",label:"keep_tags（保留语言/情绪/事件标签）",label_en:"keep_tags",default:!1},{name:"audio_chunk_mode",type:"choice",label:"audio_chunk_mode",default:"auto",choices:["auto","fixed","none"]},{name:"audio_chunk_duration_sec",type:"number",label:"audio_chunk_duration_sec",default:30,minimum:.001,step:1}],pocket_tts:[{name:"frames_after_eos",type:"number",label:"frames_after_eos（-1=自动）",default:-1,minimum:-1,step:1,precision:0}],neutts:[{name:"voice_id",type:"choice",label:"voice_id（内置音色）",label_en:"voice_id (built-in voice)",default:"emily",choices:["dave","emily","greta","jo","juliette","mateo","paul","sophie","steven"]},{name:"emotion",type:"choice",label:"emotion（情绪）",label_en:"emotion",default:"neutral",choices:["angry","disgusted","sad","happy","fearful","neutral","surprised"]}],inflect_v2:[{name:"speaking_rate",type:"slider",label:"speaking_rate（语速倍率）",label_en:"speaking_rate",default:1,minimum:.5,maximum:2,step:.05},{name:"variation",type:"slider",label:"variation（音色变化）",label_en:"variation",default:.667,minimum:0,maximum:1,step:.01},{name:"text_chunk_size",type:"number",label:"text_chunk_size（长文本分段字符数）",label_en:"text_chunk_size",default:280,minimum:1,step:1,precision:0}],dramabox:[{name:"negative_prompt",type:"text",label:"negative_prompt（负向提示）",label_en:"negative_prompt",default:"",placeholder:"留空=模型内置质量提示",placeholder_en:"Blank = built-in quality prompt"},{name:"duration_sec",type:"number",label:"duration_sec（0=自动估时）",label_en:"duration_sec (0 = auto)",default:0,minimum:0,step:.5},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:30,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2.5,minimum:0,maximum:8,step:.1},{name:"spatio_temporal_guidance_scale",type:"slider",label:"spatio_temporal_guidance_scale",default:1.5,minimum:0,maximum:5,step:.1},{name:"duration_scale",type:"slider",label:"duration_scale（自动估时倍率）",label_en:"duration_scale",default:1.1,minimum:.5,maximum:2,step:.05},{name:"reference_duration_sec",type:"number",label:"reference_duration_sec（参考音频裁剪/重复秒数）",label_en:"reference_duration_sec",default:10,minimum:0,step:.5},{name:"guidance_rescale",type:"text",label:"guidance_rescale",default:"auto",placeholder:"auto 或数值"},{name:"audio_chunk_threshold_sec",type:"number",label:"audio_chunk_threshold_sec（长文本阈值）",label_en:"audio_chunk_threshold_sec",default:45,minimum:0,step:1},{name:"audio_chunk_duration_sec",type:"number",label:"audio_chunk_duration_sec（长文本分段目标时长）",label_en:"audio_chunk_duration_sec",default:37,minimum:0,step:1},{name:"cross_fade_duration_sec",type:"number",label:"cross_fade_duration_sec（分段交叉淡化）",label_en:"cross_fade_duration_sec",default:.05,minimum:0,step:.01}],confucius4_tts:[{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:30,minimum:1,step:1,precision:0},{name:"num_beams",type:"number",label:"num_beams",default:3,minimum:1,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:10,minimum:0,maximum:20,step:.1},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:25,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.7,minimum:0,maximum:2,step:.05},{name:"text_chunk_size",type:"number",label:"text_chunk_size",default:80,minimum:1,step:1,precision:0},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",default:"default",choices:["default","tag_aware","japanese","endline"]},{name:"cross_fade_duration_sec",type:"number",label:"cross_fade_duration_sec",default:.3,minimum:0,step:.05},{name:"edge_fade_duration_sec",type:"number",label:"edge_fade_duration_sec",default:.1,minimum:0,step:.05},{name:"edge_pad_duration_sec",type:"number",label:"edge_pad_duration_sec",default:.1,minimum:0,step:.05}],ace_step:[{name:"route",type:"choice",label:"route（操作类型）",default:"text2music",choices:["text2music","complete","lego","extract","cover","cover-nofsq","repaint","remix"],info:"cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,maximum:20,step:1,precision:0,info:"扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8"},{name:"shift",type:"slider",label:"shift（时间步弯曲）",default:3,minimum:1,maximum:5,step:.5,info:"原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_cover_strength",type:"slider",label:"【cover】audio_cover_strength",default:1,minimum:0,maximum:1,step:.05,info:"1=贴近原曲，0=自由发挥；建议 0.5"},{name:"cover_noise_strength",type:"slider",label:"【cover】cover_noise_strength",default:0,minimum:0,maximum:1,step:.05,info:"保旋律强度；推荐 0.1~0.25"},{name:"source_caption",type:"text",label:"【remix】source_caption",default:"",placeholder:"源歌曲描述；『🔍 分析』自动填"},{name:"source_lyrics",type:"text",lines:4,label:"【remix】source_lyrics",default:"",placeholder:"源歌曲原歌词；『🔍 分析』自动填"},{name:"flow_edit_n_min",type:"slider",label:"【remix】flow_edit_n_min",default:0,minimum:0,maximum:1,step:.05,info:"调大更保源曲、换词更弱"},{name:"flow_edit_n_max",type:"slider",label:"【remix】flow_edit_n_max",default:1,minimum:0,maximum:1,step:.05,info:"唱不出新歌词时降到 0.7~0.9"},{name:"flow_edit_n_avg",type:"number",label:"【remix】flow_edit_n_avg",default:2,minimum:1,maximum:4,step:1,precision:0,info:"每步多次采样取平均（remix 默认 2）；1=最快"},{name:"bpm",type:"number",label:"【曲谱】BPM",default:0,minimum:0,step:1,precision:0,info:"0=不指定"},{name:"keyscale",type:"text",label:"【曲谱】keyscale",default:"",placeholder:"如 F major"},{name:"timesignature",type:"text",label:"【曲谱】timesignature",default:"",placeholder:"如 4"}],minimax_h3:[{name:"num_inference_steps",type:"number",label:"Denoising steps",default:12,minimum:1,maximum:50,step:1,precision:0,info:"Twelve denoising steps provide a practical quality and performance balance."},{name:"num_frames",type:"number",label:"Output frames",default:241,minimum:5,maximum:1441,step:4,precision:0,info:"Approximately 24 frames per output second; 241 frames produces about 10 seconds of audio."},{name:"guidance_scale",type:"slider",label:"Guidance scale",default:1,minimum:0,maximum:5,step:.1},{name:"sampler",type:"choice",label:"Sampler",default:"euler",choices:["euler","res_multistep","dpmpp_2m","unipc"]},{name:"dit_acceleration",type:"choice",label:"DiT acceleration",default:"none",choices:["none","spectrum","first_block_cache"],info:"None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs."},{name:"return_video",type:"bool",label:"Decode video",default:!1,info:"Disabled by default to reduce memory use and return audio only."}],stable_audio:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,step:1,precision:0,info:"RF 扩散步数"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_input_kind",type:"choice",label:"audio_input_kind（仅上传源音频时生效）",default:"init_audio",choices:["init_audio","inpaint_audio"]},{name:"init_noise_level",type:"slider",label:"init_noise_level（init_audio 强度）",default:1,minimum:0,maximum:1,step:.05}],seed_vc:[{name:"route",type:"choice",label:"route（转换路径）",default:"",choices:["","v2_vc","v1_whisper_bigvgan_vc","v1_xlsr_hift_vc","v1_svc"],info:"留空=按任务默认"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:30,minimum:1,step:1,precision:0,info:"CFM 扩散步数"},{name:"length_adjust",type:"slider",label:"length_adjust（时长伸缩）",default:1,minimum:.5,maximum:2,step:.05},{name:"intelligibility_cfg_rate",type:"slider",label:"intelligibility_cfg_rate（仅 v2_vc）",default:.7,minimum:0,maximum:1,step:.05},{name:"similarity_cfg_rate",type:"slider",label:"similarity_cfg_rate（仅 v2_vc）",default:.7,minimum:0,maximum:1,step:.05},{name:"inference_cfg_rate",type:"slider",label:"inference_cfg_rate（仅 v1 路径）",default:.7,minimum:0,maximum:1,step:.05}],rvc:[{name:"voice_id",type:"choice",label:"voice_id（打包音色）",label_en:"voice_id",default:"default",choices:["default","manthos","chocola","fraise"]},{name:"voice_model_path",type:"text",label:"voice_model_path（自定义 RVC .pth/.pt）",label_en:"voice_model_path",default:"",placeholder:"留空=使用打包音色"},{name:"retrieval_index_path",type:"text",label:"retrieval_index_path（FAISS index）",label_en:"retrieval_index_path",default:"",placeholder:"可选 .index 路径"},{name:"retrieval_blend",type:"slider",label:"retrieval_blend",default:0,minimum:0,maximum:1,step:.05},{name:"semitone_shift",type:"number",label:"semitone_shift（半音变调）",label_en:"semitone_shift",default:0,step:1,precision:0},{name:"pitch_filter_radius",type:"number",label:"pitch_filter_radius",default:3,minimum:0,step:1,precision:0},{name:"output_sample_rate",type:"number",label:"output_sample_rate（0=跟随音色）",label_en:"output_sample_rate (0 = voice default)",default:0,minimum:0,step:1e3,precision:0},{name:"rms_mix_rate",type:"slider",label:"rms_mix_rate",default:.25,minimum:0,maximum:1,step:.05},{name:"unvoiced_protection",type:"slider",label:"unvoiced_protection",default:.33,minimum:0,maximum:1,step:.01},{name:"speaker_id",type:"number",label:"speaker_id",default:0,minimum:0,step:1,precision:0},{name:"audio_pad_duration_sec",type:"number",label:"audio_pad_duration_sec",default:1,minimum:1,step:1,precision:0},{name:"split_query_sec",type:"number",label:"split_query_sec",default:5,minimum:1,step:1,precision:0},{name:"split_center_sec",type:"number",label:"split_center_sec",default:30,minimum:1,step:1,precision:0},{name:"split_threshold_sec",type:"number",label:"split_threshold_sec",default:32,minimum:1,step:1,precision:0}],vevo2:[{name:"route",type:"choice",label:"route（任务路线）",default:"",choices:["","style_preserved_vc","style_converted_vc","style_preserved_svc","style_converted_svc","singing_style_conversion","editing"],info:"留空=按任务默认；详见 webui/README.md"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:32,minimum:1,step:1,precision:0,info:"流匹配步数"},{name:"use_pitch_shift",type:"choice",label:"use_pitch_shift（自动音高对齐）",default:"",choices:["","true","false"],info:"留空=按路线默认"},{name:"temperature",type:"slider",label:"temperature（AR 路线用）",default:.7,minimum:0,maximum:2,step:.05,info:"默认取自模型 generation_config.json"},{name:"top_k",type:"number",label:"top_k（AR 路线用）",default:20,minimum:0,step:1,precision:0,info:"默认取自模型 generation_config.json"},{name:"top_p",type:"slider",label:"top_p（AR 路线用）",default:.8,minimum:0,maximum:1,step:.01}],heartmula:[{name:"tags",type:"text",label:"tags（必填，逗号分隔）",default:"",placeholder:"pop,bright,drums,female vocals",info:"风格/情绪/乐器/人声标签，模型必需"},{name:"temperature",type:"slider",label:"temperature",default:1,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale（MuLa CFG）",default:1.5,minimum:0,maximum:5,step:.1},{name:"num_inference_steps",type:"number",label:"num_inference_steps（codec 步数）",default:10,minimum:1,step:1,precision:0},{name:"infinite_mode",type:"bool",label:"infinite_mode（长输出分段生成）",default:!1},{name:"codec_guidance_scale",type:"slider",label:"codec_guidance_scale",default:1.25,minimum:0,maximum:5,step:.05}],index_tts2:[{name:"lang",type:"choice",label:"lang（语种提示, 仅 IndexTTS2.5 模型）",label_en:"lang (language hint, IndexTTS2.5 models only)",default:"auto",choices:["auto","zh","en","ja","es","ar"],info:"仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择",info_en:"Only applies to IndexTTS2.5 (multilingual) models: auto picks zh when the text contains Han characters, otherwise en; set ja/es/ar explicitly"},{name:"emotion_text",type:"text",label:"emotion_text（情绪参考文本）",label_en:"emotion_text (emotion reference text)",default:"",placeholder:"例：你吓死我了！你是鬼吗？",placeholder_en:"e.g. You scared me to death!",info:"填写后自动开启情感条件（use_emotion_text）",info_en:"Setting this enables emotion conditioning."},{name:"emotion_alpha",type:"slider",label:"emotion_alpha（情感强度）",label_en:"emotion_alpha",default:1,minimum:0,maximum:1,step:.05},{name:"use_emotion_text",type:"bool",label:"use_emotion_text（从朗读文本推断情感）",label_en:"use_emotion_text (infer from text)",default:!1},{name:"use_random_emotion",type:"bool",label:"use_random_emotion（随机情感）",label_en:"use_random_emotion",default:!1},{name:"interval_silence_ms",type:"number",label:"interval_silence_ms（分段间静音）",label_en:"interval_silence_ms",default:200,minimum:0,step:50,precision:0},{name:"duration_factor",type:"slider",label:"duration_factor（语速/时长倍率，>1 更慢，<1 更快）",label_en:"duration_factor (duration multiplier; >1 slower, <1 faster)",default:1,minimum:.5,maximum:2,step:.05,info:"对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容",info_en:"Matches official IndexTTS2.5 duration_factor: scales output duration without changing timbre or content"}],irodori_tts:[{name:"num_inference_steps",type:"number",label:"num_inference_steps（RF 扩散步数）",label_en:"num_inference_steps",default:40,minimum:1,step:1,precision:0},{name:"duration_sec",type:"number",label:"duration_sec（0=模型自动预测时长）",label_en:"duration_sec (0 = auto)",default:0,minimum:0,step:.5},{name:"duration_scale",type:"slider",label:"duration_scale（语速倒数，越大越慢）",label_en:"duration_scale",default:1,minimum:.5,maximum:2,step:.05}],moss_tts_local:[{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"temperature",type:"slider",label:"temperature",default:1.7,minimum:0,maximum:2.5,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:25,minimum:0,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:2,step:.01}],moss_tts_nano:[{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"temperature",type:"slider",label:"temperature",default:1.7,minimum:0,maximum:2.5,step:.05},{name:"top_p",type:"slider",label:"top_p",default:.8,minimum:0,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",default:25,minimum:0,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:2,step:.01}],supertonic:[{name:"voice",type:"choice",label:"voice（预置音色：M 男声 / F 女声）",label_en:"voice (M = male, F = female presets)",default:"M1",choices:["M1","M2","M3","M4","M5","F1","F2","F3","F4","F5"]},{name:"speaking_rate",type:"slider",label:"speaking_rate（语速倍率）",label_en:"speaking_rate",default:1.05,minimum:.5,maximum:2,step:.05},{name:"num_inference_steps",type:"number",label:"num_inference_steps（流匹配步数）",label_en:"num_inference_steps",default:8,minimum:1,step:1,precision:0}]},cu=Object.assign({"../../../../model_specs/ace_step.json":A_,"../../../../model_specs/bs_roformer.json":C_,"../../../../model_specs/chatterbox.json":R_,"../../../../model_specs/citrinet_asr.json":E_,"../../../../model_specs/confucius4_tts.json":B_,"../../../../model_specs/dots_tts.json":D_,"../../../../model_specs/dramabox.json":V_,"../../../../model_specs/fish_audio.json":I_,"../../../../model_specs/fun_asr_nano.json":P_,"../../../../model_specs/glm_tts.json":L_,"../../../../model_specs/heartmula.json":O_,"../../../../model_specs/higgs_audio_stt.json":N_,"../../../../model_specs/higgs_audio_tts.json":H_,"../../../../model_specs/htdemucs.json":Q_,"../../../../model_specs/hviske_asr.json":J_,"../../../../model_specs/index_tts2.json":W_,"../../../../model_specs/inflect_v2.json":K_,"../../../../model_specs/irodori_tts.json":X_,"../../../../model_specs/kroko_asr.json":Z_,"../../../../model_specs/mel_band_roformer.json":Y_,"../../../../model_specs/minimax_h3.json":eg,"../../../../model_specs/miocodec.json":tg,"../../../../model_specs/miotts.json":ig,"../../../../model_specs/moss_tts_local.json":og,"../../../../model_specs/moss_tts_nano.json":ng,"../../../../model_specs/muscriptor.json":sg,"../../../../model_specs/nemotron_asr.json":ag,"../../../../model_specs/neutts.json":rg,"../../../../model_specs/omnivoice.json":lg,"../../../../model_specs/outetts.json":dg,"../../../../model_specs/parakeet_tdt.json":cg,"../../../../model_specs/pocket_tts.json":ug,"../../../../model_specs/qwen3_asr.json":fg,"../../../../model_specs/qwen3_forced_aligner.json":mg,"../../../../model_specs/qwen3_tts.json":pg,"../../../../model_specs/rvc.json":_g,"../../../../model_specs/seed_vc.json":gg,"../../../../model_specs/sense_asr.json":hg,"../../../../model_specs/sortformer_diar.json":vg,"../../../../model_specs/stable_audio.json":yg,"../../../../model_specs/supertonic.json":bg,"../../../../model_specs/vevo2.json":kg,"../../../../model_specs/vibevoice.json":wg,"../../../../model_specs/vibevoice_asr.json":xg,"../../../../model_specs/vietneu_tts.json":$g,"../../../../model_specs/voxcpm2.json":Sg,"../../../../model_specs/voxtral_realtime.json":Gg}),Fg=Object.values(cu).flatMap(t=>(t.packages||[]).map(i=>({...i,family:t.family}))),jg=new Map(Object.values(cu).map(t=>[t.family,t])),zg=/[\u3400-\u4dbf\u4e00-\u9fff\uf900-\ufaff]/u;function Ds(t,i){for(const o of[t,i])if(o&&!zg.test(o))return o;return""}function Ug(t,i,o){return Ds(i,o)||t.replace(/_/g," ")}const uu=t=>t.replace(/\\/g,"/").replace(/^\.\//,"").replace(/^models\//i,"").replace(/\/$/,"").toLowerCase(),fu=t=>t.toLowerCase().replace(/[^a-z0-9]/g,"");function ql(t){return t.find(i=>i.default)||t.find(i=>i.precision==="q8_0")||t[0]}function Mg(t){const i=Fg.filter(d=>d.family===t.family);if(!i.length)return[];if(t.family==="ace_step"||!t.download_id)return i;const o=i.find(d=>d.id===t.download_id);if(o){const d=o.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,""),m=i.filter(h=>h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,"")===d);return m.length?m:[o]}const n=fu(t.download_id),s=i.filter(d=>{const m=fu(d.id);return m.startsWith(n)||n.startsWith(m)});if(s.length)return s;const a=uu(t.path),l=i.filter(d=>uu(d.target_directory)===a);if(l.length){const d=new Set(l.map(h=>h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,""))),m=i.filter(h=>d.has(h.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i,"")));return m.length?m:l}return i}function mu(t){if(t.family==="ace_step"){const i=t.precision==="bf16"?"BF16":["q8_0","q8"].includes(t.precision)?"Q8":t.precision.toUpperCase();return t.id.includes("_xl_turbo_")?`GGUF Turbo XL ${i}`:t.id.includes("_xl_sft_")?`GGUF Turbo XL SFT ${i}`:t.id.includes("_turbo_")?`GGUF Turbo ${i}`:`GGUF ${i}`}return t.format==="safetensors"?"Safetensors":t.id.includes("int8_dit")?"GGUF Q4 ConvRot":t.precision==="q4_k"||t.precision==="q4_0"?"GGUF Q4":t.precision==="q8_0"||t.precision==="q8"?"GGUF Q8":t.precision==="bf16"?"GGUF BF16":t.precision==="f16"||t.precision==="fp16"?"GGUF FP16":`GGUF ${t.precision.toUpperCase()}`}function pu(t){let i;if(t.format==="gguf"&&t.family==="minimax_h3"){const s=t.id.includes("int8_dit")?"dit_int8.gguf":"dit.gguf";i=t.files?.find(a=>a.toLowerCase().endsWith(`/${s}`))}else t.format==="gguf"&&(i=t.files?.find(s=>s.toLowerCase().endsWith(".gguf")));if(!i)return`models/${t.target_directory}`;let o=i.replace(/\\/g,"/");const n=(t.strip_prefix||"").replace(/\\/g,"/").replace(/\/$/,"");return n&&o.startsWith(`${n}/`)&&(o=o.slice(n.length+1)),`models/${t.target_directory}/${o}`.replace(/\/+/g,"/")}function Ag(t){const i=Mg(t);if(t.family==="ace_step")return i.filter(a=>a.format==="gguf").map(a=>({id:a.id,label:mu(a),path:pu(a),format:a.format,precision:a.precision}));const o=ql(i.filter(a=>a.format==="gguf"&&["q8_0","q8"].includes(a.precision))),n=ql(i.filter(a=>a.format==="gguf"&&["f16","fp16"].includes(a.precision)))||ql(i.filter(a=>a.format==="gguf"&&a.precision==="bf16")),s=!o&&!n?i.filter(a=>a.format==="gguf"):[];return[o,n,...s].filter(a=>a!==void 0).map(a=>({id:a.id,label:mu(a),path:pu(a),format:a.format,precision:a.precision}))}const Tt=Tg.models.flatMap(t=>{const i=Ag(t);if(t.download_id&&i.length===0)return[];const o=i[0],n=jg.get(t.family);return[{...t,display_name:Ds(t.display_name_en,t.display_name)||t.id,input_hint:Ds(t.input_hint_en,t.input_hint),download_id:o?.id||t.download_id,install_packages:i,path:o?.path||t.path,request_options:n?.options?.request?.map(s=>s.name),builtin_voices:n?.ui?.builtin_voices,default_voice:n?.ui?.default_voice}]}),_u=Object.fromEntries(Object.entries(qg).filter(t=>Array.isArray(t[1])).map(([t,i])=>[t,i.map(o=>({...o,label:Ug(o.name,o.label_en,o.label),placeholder:Ds(o.placeholder_en,o.placeholder),info:Ds(o.info_en,o.info)}))])),Cg={tts:"Text to speech",clon:"Voice cloning",asr:"Transcription",gen:"Music & sound",midi:"Audio to MIDI",vc:"Voice conversion",svc:"Singing conversion",s2s:"Speech editing",sep:"Source separation",vad:"Voice activity",diar:"Speaker diarization",align:"Forced alignment",vdes:"Voice design",spk:"Speaker analysis"},Rg={code:"it",name:"Italiano",translations:{"request.minimaxFrames":"{frames} fotogrammi di output allineati","param.minimax_h3.num_inference_steps.label":"Passaggi di denoising","param.minimax_h3.num_inference_steps.info":"Dodici passaggi di denoising offrono un buon equilibrio tra qualità e prestazioni.","param.minimax_h3.num_frames.label":"Fotogrammi di output","param.minimax_h3.num_frames.info":"Calcolati dalla durata a circa 24 fotogrammi per secondo di output. Modificando i fotogrammi si aggiorna anche la durata.","param.minimax_h3.guidance_scale.label":"Scala di guida","param.minimax_h3.sampler.label":"Campionatore","param.minimax_h3.dit_acceleration.label":"Accelerazione DiT","param.minimax_h3.dit_acceleration.info":"None usa il percorso DiT completo orientato alla qualità. Le modalità accelerate sono sperimentali e possono distorcere alcuni risultati.","param.minimax_h3.return_video.label":"Decodifica video","param.minimax_h3.return_video.info":"Disattivata per impostazione predefinita per ridurre l'uso della memoria e restituire solo l'audio.","model.minimax_h3.hint":"MiniMax-H3 usa un DiT audio/video congiunto. GGUF Q4 privilegia la qualità; GGUF Q4 ConvRot, solo CUDA, usa un po' più VRAM per una maggiore velocità. Il percorso DiT completo predefinito privilegia la qualità audio e disattiva la decodifica video.","status.modelReady":"{model} è caricato e pronto.","status.runningTask":"Esecuzione di {task}...","status.completeIn":"Completato in {seconds} s.","status.packageAvailable":"{model} userà {format}. Ora è disponibile nello Studio.","app.nativeStudio":"Studio nativo","nav.studio":"Studio","nav.models":"Modelli","nav.runtime":"Runtime","language.label":"Lingua dell'interfaccia","workflow.tts":"Sintesi vocale","workflow.asr":"ASR / Trascrizione","workflow.music":"Generazione musicale","workflow.vc":"Conversione vocale","workflow.sep":"Separazione sorgenti","workflow.analysis":"Analisi audio","workflow.design":"Progettazione voce","studio.eyebrow":"INTELLIGENZA AUDIO LOCALE","studio.title":"Studio audio","studio.subtitle.tts":"Genera una voce naturale dal testo, con voci predefinite e clonazione quando supportate.","studio.subtitle.asr":"Trascrivi l'audio parlato in testo, con controlli di lingua e timestamp quando supportati.","studio.subtitle.music":"Crea musica e suoni da una descrizione, un testo o un audio di riferimento.","studio.subtitle.vc":"Trasforma una registrazione in un'altra voce conservando l'interpretazione parlata o cantata.","studio.subtitle.sep":"Separa una registrazione in voce, strumenti o altre tracce audio disponibili.","studio.subtitle.analysis":"Analizza attività vocale, parlanti, tempi e allineamento dell'audio.","studio.subtitle.design":"Crea o perfeziona una voce da una descrizione e dai controlli di riferimento supportati.","studio.model":"Modello","studio.noModel":"Nessun modello selezionato","studio.resident":"Caricato","studio.notInstalled":"Non installato","studio.available":"Disponibile","studio.chooseInstalled":"Scegli un modello installato","studio.notDownloaded":"non scaricato","studio.pathFound":"Percorso trovato","studio.pathMissing":"Percorso mancante","studio.pathUnknown":"Percorso non verificato","studio.load":"Carica modello","studio.unload":"Scarica modello","studio.working":"Elaborazione…","studio.bundledLoaded":"Integrato · caricato","request.label":"RICHIESTA","request.title":"Input e controlli","request.prompt":"Prompt","request.text":"Testo","request.splitLongText":"Dividi e unisci testi lunghi","request.charactersPerChunk":"Caratteri per segmento","request.language":"Lingua","request.autoLanguage":"vuoto = automatico","request.seed":"Seed","request.randomSeed":"-1 = casuale","request.maxTokens":"Token massimi","request.sourceAudio":"Audio sorgente","request.recordMicrophone":"Registra microfono","voice.quickStart":"Voci demo per avvio rapido","voice.useReference":"Usa un file audio di riferimento qui sotto","voice.reference":"Voce di riferimento","voice.required":"obbligatoria","voice.optional":"opzionale","voice.referenceText":"Testo di riferimento","voice.transcript":"Trascrizione di riferimento","voice.saved":"Voci salvate","voice.browserOnly":"solo in questo browser","voice.chooseSaved":"Scegli una voce salvata...","voice.libraryName":"Nome nella libreria","voice.save":"Salva voce","common.delete":"Elimina","common.cancel":"Annulla","common.close":"Chiudi","common.refresh":"Aggiorna","common.browse":"Sfoglia","common.apply":"Applica","options.modelParameters":"Parametri del modello","options.additional":"Opzioni aggiuntive","run.run":"Esegui","run.cancel":"Annulla","run.working":"Elaborazione…","result.title":"Risultato","result.label":"RISULTATO","result.saveWav":"Salva WAV","result.empty":"L'audio generato e i risultati strutturati appariranno qui.","models.eyebrow":"LIBRERIA MODELLI","models.title":"Pacchetti locali","models.subtitle":"Scarica e gestisci i pacchetti dei modelli senza uscire dall'interfaccia.","models.folder":"Cartella modelli","models.useDefault":"Usa predefinita","models.showTypes":"Mostra tipi di modello","models.stopDownload":"Interrompi download","models.cleanPartial":"Elimina download parziale","runtime.title":"Registro sessione","runtime.status":"Stato","runtime.backend":"Backend","runtime.registered":"Registrati","runtime.resident":"Caricati","runtime.noEvents":"Nessun evento.","folder.title":"Scegli una cartella","folder.up":"Livello superiore","folder.select":"Seleziona questa cartella","common.applying":"Applicazione…","common.disabled":"Disabilitato","common.enabled":"Abilitato","file.choose":"Scegli file","file.none":"Nessun file selezionato","folder.closeLabel":"Chiudi selettore cartelle","folder.empty":"Questa cartella non contiene sottocartelle.","folder.eyebrow":"CARTELLA MODELLI","folder.loading":"Caricamento...","folder.loadingFolders":"Caricamento cartelle...","footer.embedded":"SvelteKit · incorporato in audiocpp_server","models.checkingSize":"verifica dimensione…","models.default":"Predefinita","models.downloaded":"Scaricato","models.folderHint":"download, rilevamento locale e caricamento dei modelli","models.folderPlaceholder":"cartella models accanto ad audiocpp_server","models.hfAccess":"Accesso HF richiesto","models.model":"modello","models.queued":"in coda","models.reinstall":"Reinstalla","models.selected":"Selezionato","models.sharedPackage":"Usa il pacchetto condiviso {name} mostrato sopra.","models.sizeUnavailable":"dimensione non disponibile","models.stopping":"arresto","models.update":"Aggiorna","models.updateAvailable":"Aggiornamento disponibile","models.upToDate":"Aggiornato","models.variants":"varianti","models.versionUnknown":"Versione sconosciuta","nav.primary":"Navigazione principale","nav.workflows":"Flussi di lavoro audio","request.alignmentText":"Testo di allineamento","request.context":"Prompt di contesto","request.contextHint":"terminologia o nomi opzionali","request.duration":"Durata in secondi","request.liveDescription":"Elabora richieste consecutive di quattro secondi usando la modalità streaming del modello.","request.liveTitle":"Trascrizione microfono in diretta","request.lyrics":"Testo della canzone","request.optional":"opzionale","request.recordingMicrophone":"Registrazione microfono","request.soundPlaceholder":"Descrivi il suono o la musica…","request.startLive":"Avvia diretta","request.stopLive":"Ferma diretta","request.stopRecording":"Ferma registrazione","request.textPlaceholder":"Inserisci il testo…","request.voiceDescription":"Descrizione della voce","request.voiceDescriptionPlaceholder":"Una voce calda e calma con ritmo misurato…","result.track":"traccia","result.tracks":"tracce","runtime.eyebrow":"RUNTIME","runtime.subtitle":"Eventi del ciclo di vita e delle richieste nel browser.","status.ready":"Pronto","studio.estimatedVram":"VRAM stimata: {value} GB","studio.vram":"VRAM —","task.align":"Allineamento forzato","task.asr":"Trascrizione","task.clon":"Clonazione vocale","task.diar":"Diarizzazione parlanti","task.gen":"Generazione musicale","task.s2s":"Modifica del parlato","task.sep":"Separazione sorgenti","task.svc":"Conversione della voce cantata","task.tts":"Sintesi vocale","task.vad":"Attività vocale","task.vc":"Conversione vocale","task.vdes":"Progettazione voce","voice.bundledNote":"L'audio di riferimento incluso e la relativa trascrizione vengono forniti automaticamente.","voice.namePlaceholder":"La mia voce di riferimento","voice.recommendedClone":"consigliata per la clonazione","voice.recording":"Registrazione voce di riferimento","voice.requiredClone":"obbligatoria per questa clonazione vocale","voice.transcriptPlaceholder":"Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente."}},Eg={code:"pl",name:"Polski",translations:{"request.minimaxFrames":"{frames} wyrównanych klatek wyjściowych","param.minimax_h3.num_inference_steps.label":"Kroki odszumiania","param.minimax_h3.num_inference_steps.info":"Dwanaście kroków odszumiania zapewnia praktyczną równowagę jakości i wydajności.","param.minimax_h3.num_frames.label":"Klatki wyjściowe","param.minimax_h3.num_frames.info":"Obliczane z czasu trwania przy około 24 klatkach na sekundę wyjścia. Zmiana liczby klatek aktualizuje również czas trwania.","param.minimax_h3.guidance_scale.label":"Skala naprowadzania","param.minimax_h3.sampler.label":"Próbnik","param.minimax_h3.dit_acceleration.label":"Przyspieszenie DiT","param.minimax_h3.dit_acceleration.info":"None używa pełnej ścieżki DiT nastawionej na jakość. Tryby przyspieszone są eksperymentalne i mogą zniekształcać niektóre wyniki.","param.minimax_h3.return_video.label":"Dekoduj wideo","param.minimax_h3.return_video.info":"Domyślnie wyłączone, aby zmniejszyć zużycie pamięci i zwracać tylko dźwięk.","model.minimax_h3.hint":"MiniMax-H3 korzysta ze wspólnego DiT audio/wideo. GGUF Q4 stawia na jakość; dostępny tylko dla CUDA GGUF Q4 ConvRot używa nieco więcej VRAM, aby działać szybciej. Domyślna pełna ścieżka DiT nadaje priorytet jakości dźwięku, a dekodowanie wideo jest wyłączone.","status.modelReady":"{model} jest załadowany i gotowy.","status.runningTask":"Uruchamianie: {task}...","status.completeIn":"Ukończono w {seconds} s.","status.packageAvailable":"{model} użyje {format}. Model jest dostępny w Studio.","app.nativeStudio":"Studio natywne","nav.studio":"Studio","nav.models":"Modele","nav.runtime":"Środowisko","language.label":"Język interfejsu","workflow.tts":"Synteza mowy","workflow.asr":"ASR / Transkrypcja","workflow.music":"Generowanie muzyki","workflow.vc":"Konwersja głosu","workflow.sep":"Separacja źródeł","workflow.analysis":"Analiza dźwięku","workflow.design":"Projektowanie głosu","studio.eyebrow":"LOKALNA INTELIGENCJA AUDIO","studio.title":"Studio audio","studio.subtitle.tts":"Generuj naturalną mowę z tekstu, korzystając z gotowych głosów i klonowania, gdy model je obsługuje.","studio.subtitle.asr":"Transkrybuj mowę z nagrań na tekst, korzystając z ustawień języka i znaczników czasu, gdy są obsługiwane.","studio.subtitle.music":"Twórz muzykę i dźwięki na podstawie opisu, tekstu piosenki lub nagrania referencyjnego.","studio.subtitle.vc":"Przekształcaj nagranie w inny głos, zachowując sposób mówienia lub śpiewania.","studio.subtitle.sep":"Rozdzielaj nagranie na wokal, instrumenty lub inne dostępne ścieżki.","studio.subtitle.analysis":"Analizuj aktywność mowy, mówców, czas i wyrównanie nagrania.","studio.subtitle.design":"Twórz lub dopracowuj głos na podstawie opisu i obsługiwanych ustawień referencyjnych.","studio.model":"Model","studio.noModel":"Nie wybrano modelu","studio.resident":"Załadowany","studio.notInstalled":"Nie zainstalowano","studio.available":"Dostępny","studio.chooseInstalled":"Wybierz zainstalowany model","studio.notDownloaded":"nie pobrano","studio.pathFound":"Ścieżka znaleziona","studio.pathMissing":"Brak ścieżki","studio.pathUnknown":"Ścieżka niesprawdzona","studio.load":"Załaduj model","studio.unload":"Wyładuj model","studio.working":"Przetwarzanie…","studio.bundledLoaded":"Wbudowany · załadowany","request.label":"ŻĄDANIE","request.title":"Dane wejściowe i ustawienia","request.prompt":"Polecenie","request.text":"Tekst","request.splitLongText":"Dziel i łącz długi tekst","request.charactersPerChunk":"Znaki na fragment","request.language":"Język","request.autoLanguage":"puste = automatycznie","request.seed":"Ziarno","request.randomSeed":"-1 = losowe","request.maxTokens":"Maksymalna liczba tokenów","request.sourceAudio":"Dźwięk źródłowy","request.recordMicrophone":"Nagraj mikrofon","voice.quickStart":"Szybkie głosy demonstracyjne","voice.useReference":"Użyj pliku dźwiękowego poniżej","voice.reference":"Głos referencyjny","voice.required":"wymagany","voice.optional":"opcjonalny","voice.referenceText":"Tekst referencyjny","voice.transcript":"Transkrypcja referencyjna","voice.saved":"Zapisane głosy","voice.browserOnly":"tylko w tej przeglądarce","voice.chooseSaved":"Wybierz zapisany głos...","voice.libraryName":"Nazwa w bibliotece","voice.save":"Zapisz głos","common.delete":"Usuń","common.cancel":"Anuluj","common.close":"Zamknij","common.refresh":"Odśwież","common.browse":"Przeglądaj","common.apply":"Zastosuj","options.modelParameters":"Parametry modelu","options.additional":"Dodatkowe opcje","run.run":"Uruchom","run.cancel":"Anuluj","run.working":"Przetwarzanie…","result.title":"Wynik","result.label":"WYNIK","result.saveWav":"Zapisz WAV","result.empty":"W tym miejscu pojawi się wygenerowany dźwięk i wyniki strukturalne.","models.eyebrow":"BIBLIOTEKA MODELI","models.title":"Pakiety lokalne","models.subtitle":"Pobieraj i zarządzaj pakietami modeli bez opuszczania interfejsu.","models.folder":"Folder modeli","models.useDefault":"Użyj domyślnego","models.showTypes":"Pokaż typy modeli","models.stopDownload":"Zatrzymaj pobieranie","models.cleanPartial":"Usuń częściowe pobieranie","runtime.title":"Dziennik sesji","runtime.status":"Stan","runtime.backend":"Backend","runtime.registered":"Zarejestrowane","runtime.resident":"Załadowane","runtime.noEvents":"Brak zdarzeń.","folder.title":"Wybierz folder","folder.up":"Poziom wyżej","folder.select":"Wybierz ten folder","common.applying":"Stosowanie…","common.disabled":"Wyłączone","common.enabled":"Włączone","file.choose":"Wybierz plik","file.none":"Nie wybrano pliku","folder.closeLabel":"Zamknij przeglądarkę folderów","folder.empty":"Ten folder nie zawiera podfolderów.","folder.eyebrow":"FOLDER MODELI","folder.loading":"Ładowanie...","folder.loadingFolders":"Ładowanie folderów...","footer.embedded":"SvelteKit · wbudowany w audiocpp_server","models.checkingSize":"sprawdzanie rozmiaru…","models.default":"Domyślnie","models.downloaded":"Pobrano","models.folderHint":"pobieranie, wykrywanie lokalne i ładowanie modeli","models.folderPlaceholder":"folder models obok audiocpp_server","models.hfAccess":"Wymagany dostęp do HF","models.model":"model","models.queued":"w kolejce","models.reinstall":"Zainstaluj ponownie","models.selected":"Wybrano","models.sharedPackage":"Używa wspólnego pakietu {name} pokazanego powyżej.","models.sizeUnavailable":"rozmiar niedostępny","models.stopping":"zatrzymywanie","models.update":"Aktualizuj","models.updateAvailable":"Dostępna aktualizacja","models.upToDate":"Aktualny","models.variants":"warianty","models.versionUnknown":"Nieznana wersja","nav.primary":"Główna nawigacja","nav.workflows":"Przepływy pracy audio","request.alignmentText":"Tekst do wyrównania","request.context":"Kontekst","request.contextHint":"opcjonalna terminologia lub nazwy","request.duration":"Czas trwania w sekundach","request.liveDescription":"Przetwarza kolejne czterosekundowe żądania w trybie strumieniowym modelu.","request.liveTitle":"Transkrypcja mikrofonu na żywo","request.lyrics":"Tekst utworu","request.optional":"opcjonalne","request.recordingMicrophone":"Nagrywanie mikrofonu","request.soundPlaceholder":"Opisz dźwięk lub muzykę…","request.startLive":"Uruchom na żywo","request.stopLive":"Zatrzymaj na żywo","request.stopRecording":"Zatrzymaj nagrywanie","request.textPlaceholder":"Wprowadź tekst…","request.voiceDescription":"Opis głosu","request.voiceDescriptionPlaceholder":"Ciepły, spokojny głos o umiarkowanym tempie…","result.track":"ścieżka","result.tracks":"ścieżki","runtime.eyebrow":"ŚRODOWISKO","runtime.subtitle":"Zdarzenia cyklu życia i żądań po stronie przeglądarki.","status.ready":"Gotowe","studio.estimatedVram":"Szacowane VRAM: {value} GB","studio.vram":"VRAM —","task.align":"Wymuszone wyrównanie","task.asr":"Transkrypcja","task.clon":"Klonowanie głosu","task.diar":"Diarizacja mówców","task.gen":"Generowanie muzyki","task.s2s":"Edycja mowy","task.sep":"Separacja źródeł","task.svc":"Konwersja głosu śpiewanego","task.tts":"Synteza mowy","task.vad":"Aktywność głosowa","task.vc":"Konwersja głosu","task.vdes":"Projektowanie głosu","voice.bundledNote":"Dołączone audio referencyjne i jego transkrypcja zostaną użyte automatycznie.","voice.namePlaceholder":"Mój głos referencyjny","voice.recommendedClone":"zalecana do klonowania","voice.recording":"Nagrywanie głosu referencyjnego","voice.requiredClone":"wymagana dla tego klonowania głosu","voice.transcriptPlaceholder":"Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej."}},Bg={code:"ru",name:"Русский",translations:{"request.minimaxFrames":"{frames} выровненных выходных кадров","param.minimax_h3.num_inference_steps.label":"Шаги шумоподавления","param.minimax_h3.num_inference_steps.info":"Двенадцать шагов обеспечивают практичный баланс качества и производительности.","param.minimax_h3.num_frames.label":"Выходные кадры","param.minimax_h3.num_frames.info":"Рассчитываются из длительности примерно по 24 кадра на секунду вывода. Изменение числа кадров также обновляет длительность.","param.minimax_h3.guidance_scale.label":"Масштаб управления","param.minimax_h3.sampler.label":"Сэмплер","param.minimax_h3.dit_acceleration.label":"Ускорение DiT","param.minimax_h3.dit_acceleration.info":"None использует полный DiT с приоритетом качества. Режимы ускорения экспериментальны и могут искажать некоторые результаты.","param.minimax_h3.return_video.label":"Декодировать видео","param.minimax_h3.return_video.info":"По умолчанию выключено для снижения расхода памяти и возврата только аудио.","model.minimax_h3.hint":"MiniMax-H3 использует совместный аудио/видео DiT. GGUF Q4 ориентирован на качество; доступный только в CUDA GGUF Q4 ConvRot использует немного больше VRAM ради скорости. Полный DiT по умолчанию отдаёт приоритет качеству звука, а декодирование видео отключено.","status.modelReady":"{model} загружен и готов.","status.runningTask":"Выполняется: {task}...","status.completeIn":"Завершено за {seconds} с.","status.packageAvailable":"{model} будет использовать {format}. Модель доступна в Studio.","app.nativeStudio":"Нативная студия","nav.studio":"Студия","nav.models":"Модели","nav.runtime":"Среда","language.label":"Язык интерфейса","workflow.tts":"Синтез речи","workflow.asr":"ASR / Распознавание","workflow.music":"Генерация музыки","workflow.vc":"Преобразование голоса","workflow.sep":"Разделение источников","workflow.analysis":"Анализ аудио","workflow.design":"Дизайн голоса","studio.eyebrow":"ЛОКАЛЬНЫЙ АУДИО ИНТЕЛЛЕКТ","studio.title":"Аудиостудия","studio.subtitle.tts":"Создавайте естественную речь из текста с готовыми голосами и клонированием, если они поддерживаются.","studio.subtitle.asr":"Преобразуйте речь из аудио в текст с настройками языка и временных меток, если они поддерживаются.","studio.subtitle.music":"Создавайте музыку и звуки по описанию, тексту песни или эталонному аудио.","studio.subtitle.vc":"Преобразуйте запись в другой голос, сохраняя манеру речи или пения.","studio.subtitle.sep":"Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.","studio.subtitle.analysis":"Анализируйте речевую активность, говорящих, время и выравнивание аудио.","studio.subtitle.design":"Создавайте и настраивайте голос по текстовому описанию и поддерживаемым эталонным параметрам.","studio.model":"Модель","studio.noModel":"Модель не выбрана","studio.resident":"Загружена","studio.notInstalled":"Не установлена","studio.available":"Доступна","studio.chooseInstalled":"Выберите установленную модель","studio.notDownloaded":"не скачана","studio.pathFound":"Путь найден","studio.pathMissing":"Путь отсутствует","studio.pathUnknown":"Путь не проверен","studio.load":"Загрузить модель","studio.unload":"Выгрузить модель","studio.working":"Обработка…","studio.bundledLoaded":"Встроена · загружена","request.label":"ЗАПРОС","request.title":"Ввод и управление","request.prompt":"Запрос","request.text":"Текст","request.splitLongText":"Разделять и объединять длинный текст","request.charactersPerChunk":"Символов в части","request.language":"Язык","request.autoLanguage":"пусто = автоматически","request.seed":"Seed","request.randomSeed":"-1 = случайно","request.maxTokens":"Максимум токенов","request.sourceAudio":"Исходное аудио","request.recordMicrophone":"Записать микрофон","voice.quickStart":"Демонстрационные голоса","voice.useReference":"Использовать файл эталонного аудио ниже","voice.reference":"Эталонный голос","voice.required":"обязательно","voice.optional":"необязательно","voice.referenceText":"Эталонный текст","voice.transcript":"Эталонная расшифровка","voice.saved":"Сохранённые голоса","voice.browserOnly":"только в этом браузере","voice.chooseSaved":"Выберите сохранённый голос...","voice.libraryName":"Имя в библиотеке","voice.save":"Сохранить голос","common.delete":"Удалить","common.cancel":"Отмена","common.close":"Закрыть","common.refresh":"Обновить","common.browse":"Обзор","common.apply":"Применить","options.modelParameters":"Параметры модели","options.additional":"Дополнительные параметры","run.run":"Запустить","run.cancel":"Отмена","run.working":"Обработка…","result.title":"Результат","result.label":"РЕЗУЛЬТАТ","result.saveWav":"Сохранить WAV","result.empty":"Здесь появятся созданное аудио и структурированные результаты.","models.eyebrow":"БИБЛИОТЕКА МОДЕЛЕЙ","models.title":"Локальные пакеты","models.subtitle":"Скачивайте пакеты моделей и управляйте ими прямо в интерфейсе.","models.folder":"Папка моделей","models.useDefault":"По умолчанию","models.showTypes":"Типы моделей","models.stopDownload":"Остановить загрузку","models.cleanPartial":"Удалить частичную загрузку","runtime.title":"Журнал сеанса","runtime.status":"Состояние","runtime.backend":"Backend","runtime.registered":"Зарегистрировано","runtime.resident":"Загружено","runtime.noEvents":"Событий пока нет.","folder.title":"Выберите папку","folder.up":"На уровень выше","folder.select":"Выбрать эту папку","common.applying":"Применение…","common.disabled":"Выключено","common.enabled":"Включено","file.choose":"Выбрать файл","file.none":"Файл не выбран","folder.closeLabel":"Закрыть выбор папки","folder.empty":"В этой папке нет вложенных папок.","folder.eyebrow":"ПАПКА МОДЕЛЕЙ","folder.loading":"Загрузка...","folder.loadingFolders":"Загрузка папок...","footer.embedded":"SvelteKit · встроен в audiocpp_server","models.checkingSize":"проверка размера…","models.default":"По умолчанию","models.downloaded":"Скачано","models.folderHint":"загрузка, локальное обнаружение и загрузка моделей","models.folderPlaceholder":"папка models рядом с audiocpp_server","models.hfAccess":"Требуется доступ HF","models.model":"модель","models.queued":"в очереди","models.reinstall":"Переустановить","models.selected":"Выбрано","models.sharedPackage":"Использует общий пакет {name}, показанный выше.","models.sizeUnavailable":"размер недоступен","models.stopping":"остановка","models.update":"Обновить","models.updateAvailable":"Доступно обновление","models.upToDate":"Актуально","models.variants":"варианты","models.versionUnknown":"Версия неизвестна","nav.primary":"Основная навигация","nav.workflows":"Рабочие процессы аудио","request.alignmentText":"Текст для выравнивания","request.context":"Контекстный запрос","request.contextHint":"необязательные термины или имена","request.duration":"Длительность в секундах","request.liveDescription":"Обрабатывает последовательные четырёхсекундные запросы в потоковом режиме модели.","request.liveTitle":"Распознавание с микрофона в реальном времени","request.lyrics":"Текст песни","request.optional":"необязательно","request.recordingMicrophone":"Запись микрофона","request.soundPlaceholder":"Опишите звук или музыку…","request.startLive":"Запустить","request.stopLive":"Остановить","request.stopRecording":"Остановить запись","request.textPlaceholder":"Введите текст…","request.voiceDescription":"Описание голоса","request.voiceDescriptionPlaceholder":"Тёплый спокойный голос с размеренным темпом…","result.track":"дорожка","result.tracks":"дорожки","runtime.eyebrow":"СРЕДА","runtime.subtitle":"События жизненного цикла и запросов в браузере.","status.ready":"Готово","studio.estimatedVram":"Оценка VRAM: {value} ГБ","studio.vram":"VRAM —","task.align":"Принудительное выравнивание","task.asr":"Распознавание речи","task.clon":"Клонирование голоса","task.diar":"Диаризация говорящих","task.gen":"Генерация музыки","task.s2s":"Редактирование речи","task.sep":"Разделение источников","task.svc":"Преобразование вокала","task.tts":"Синтез речи","task.vad":"Голосовая активность","task.vc":"Преобразование голоса","task.vdes":"Дизайн голоса","voice.bundledNote":"Встроенное эталонное аудио и соответствующая расшифровка подставляются автоматически.","voice.namePlaceholder":"Мой эталонный голос","voice.recommendedClone":"рекомендуется для клонирования","voice.recording":"Запись эталонного голоса","voice.requiredClone":"требуется для этого клонирования","voice.transcriptPlaceholder":"Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше."}},Dg={code:"zh",name:"中文",translations:{"request.minimaxFrames":"{frames} 个对齐输出帧","param.minimax_h3.num_inference_steps.label":"去噪步数","param.minimax_h3.num_inference_steps.info":"十二个去噪步骤可在质量和性能之间取得实用的平衡。","param.minimax_h3.num_frames.label":"输出帧数","param.minimax_h3.num_frames.info":"根据时长自动计算，每秒输出约 24 帧。编辑帧数也会更新时长。","param.minimax_h3.guidance_scale.label":"引导强度","param.minimax_h3.sampler.label":"采样器","param.minimax_h3.dit_acceleration.label":"DiT 加速","param.minimax_h3.dit_acceleration.info":"“none”使用质量优先的完整 DiT 路径。加速模式为实验性功能，可能使某些输出失真。","param.minimax_h3.return_video.label":"解码视频","param.minimax_h3.return_video.info":"默认禁用以减少内存占用，并仅返回音频。","model.minimax_h3.hint":"MiniMax-H3 使用联合音频/视频 DiT。GGUF Q4 是质量优先版本；仅支持 CUDA 的 GGUF Q4 ConvRot 使用稍多显存以提高速度。默认完整 DiT 路径优先保证音频质量，并禁用视频解码。","status.modelReady":"{model} 已加载并准备就绪。","status.runningTask":"正在运行{task}...","status.completeIn":"已在 {seconds} 秒内完成。","status.packageAvailable":"{model} 将使用 {format}，现可在工作室中使用。","app.nativeStudio":"原生工作室","nav.studio":"工作室","nav.models":"模型","nav.runtime":"运行环境","language.label":"界面语言","workflow.tts":"文本转语音","workflow.asr":"ASR / 转录","workflow.music":"音乐生成","workflow.vc":"语音转换","workflow.sep":"音源分离","workflow.analysis":"音频分析","workflow.design":"音色设计","studio.eyebrow":"本地音频智能","studio.title":"音频工作室","studio.subtitle.tts":"从文本生成自然语音，并在模型支持时使用预设音色或声音克隆。","studio.subtitle.asr":"将语音音频转为文本，并在模型支持时设置语言和时间戳。","studio.subtitle.music":"根据描述、歌词或参考音频创作音乐和声音。","studio.subtitle.vc":"将录音转换为另一种声音，同时保留原有的说话或演唱表现。","studio.subtitle.sep":"将录音分离为人声、乐器或其他可用音轨。","studio.subtitle.analysis":"分析语音活动、说话人、时间信息和音频对齐。","studio.subtitle.design":"根据文字描述和支持的参考控制创建或调整声音。","studio.model":"模型","studio.noModel":"未选择模型","studio.resident":"已加载","studio.notInstalled":"未安装","studio.available":"可用","studio.chooseInstalled":"选择已安装的模型","studio.notDownloaded":"未下载","studio.pathFound":"已找到路径","studio.pathMissing":"路径不存在","studio.pathUnknown":"尚未检查路径","studio.load":"加载模型","studio.unload":"卸载模型","studio.working":"处理中…","studio.bundledLoaded":"内置 · 已加载","request.label":"请求","request.title":"输入与控制","request.prompt":"提示词","request.text":"文本","request.splitLongText":"拆分并合并长文本","request.charactersPerChunk":"每段字符数","request.language":"语言","request.autoLanguage":"留空 = 自动","request.seed":"随机种子","request.randomSeed":"-1 = 随机","request.maxTokens":"最大令牌数","request.sourceAudio":"源音频","request.recordMicrophone":"录制麦克风","voice.quickStart":"快速开始演示音色","voice.useReference":"使用下方参考音频文件","voice.reference":"参考音色","voice.required":"必需","voice.optional":"可选","voice.referenceText":"参考文本","voice.transcript":"参考转录","voice.saved":"已保存音色","voice.browserOnly":"仅存储在此浏览器中","voice.chooseSaved":"选择已保存音色...","voice.libraryName":"库名称","voice.save":"保存音色","common.delete":"删除","common.cancel":"取消","common.close":"关闭","common.refresh":"刷新","common.browse":"浏览","common.apply":"应用","options.modelParameters":"模型参数","options.additional":"其他选项","run.run":"运行","run.cancel":"取消","run.working":"处理中…","result.title":"输出","result.label":"结果","result.saveWav":"保存 WAV","result.empty":"生成的音频和结构化结果将显示在这里。","models.eyebrow":"模型库","models.title":"本地软件包","models.subtitle":"无需离开原生界面即可下载和管理模型包。","models.folder":"模型文件夹","models.useDefault":"使用默认值","models.showTypes":"显示模型类型","models.stopDownload":"停止下载","models.cleanPartial":"清理部分下载","runtime.title":"会话日志","runtime.status":"状态","runtime.backend":"后端","runtime.registered":"已注册","runtime.resident":"已加载","runtime.noEvents":"暂无事件。","folder.title":"选择文件夹","folder.up":"上一级","folder.select":"选择此文件夹","common.applying":"正在应用…","common.disabled":"已禁用","common.enabled":"已启用","file.choose":"选择文件","file.none":"未选择文件","folder.closeLabel":"关闭文件夹浏览器","folder.empty":"此文件夹没有子文件夹。","folder.eyebrow":"模型文件夹","folder.loading":"正在加载...","folder.loadingFolders":"正在加载文件夹...","footer.embedded":"SvelteKit · 内置于 audiocpp_server","models.checkingSize":"正在检查大小…","models.default":"默认","models.downloaded":"已下载","models.folderHint":"用于下载、本地检测和模型加载","models.folderPlaceholder":"audiocpp_server 旁的 models 文件夹","models.hfAccess":"需要 HF 访问权限","models.model":"模型","models.queued":"排队中","models.reinstall":"重新安装","models.selected":"已选择","models.sharedPackage":"使用上方显示的共享 {name} 软件包。","models.sizeUnavailable":"大小不可用","models.stopping":"正在停止","models.update":"更新","models.updateAvailable":"有可用更新","models.upToDate":"已是最新","models.variants":"变体","models.versionUnknown":"版本未知","nav.primary":"主导航","nav.workflows":"音频工作流程","request.alignmentText":"对齐文本","request.context":"上下文提示","request.contextHint":"可选术语或名称","request.duration":"持续时间（秒）","request.liveDescription":"使用模型的流式模式连续处理四秒请求。","request.liveTitle":"实时麦克风转录","request.lyrics":"歌词","request.optional":"可选","request.recordingMicrophone":"正在录制麦克风","request.soundPlaceholder":"描述声音或音乐…","request.startLive":"开始实时处理","request.stopLive":"停止实时处理","request.stopRecording":"停止录制","request.textPlaceholder":"输入文本…","request.voiceDescription":"音色描述","request.voiceDescriptionPlaceholder":"温暖、平静且语速适中的声音…","result.track":"音轨","result.tracks":"音轨","runtime.eyebrow":"运行环境","runtime.subtitle":"浏览器端生命周期和请求事件。","status.ready":"就绪","studio.estimatedVram":"预计 VRAM：{value} GB","studio.vram":"VRAM —","task.align":"强制对齐","task.asr":"语音转录","task.clon":"声音克隆","task.diar":"说话人分离","task.gen":"音乐生成","task.s2s":"语音编辑","task.sep":"音源分离","task.svc":"歌声音色转换","task.tts":"文本转语音","task.vad":"语音活动检测","task.vc":"语音转换","task.vdes":"音色设计","voice.bundledNote":"内置参考音频及其匹配转录将自动提供。","voice.namePlaceholder":"我的参考音色","voice.recommendedClone":"建议用于克隆","voice.recording":"正在录制参考音色","voice.requiredClone":"此声音克隆必需","voice.transcriptPlaceholder":"输入参考音频中的准确文字，或加载上方匹配的 .txt 文件。"}},Fl={"app.nativeStudio":"Native Studio","nav.studio":"Studio","nav.models":"Models","nav.runtime":"Runtime","nav.primary":"Primary navigation","nav.workflows":"Audio workflows","language.label":"Interface language","workflow.tts":"Text to speech","workflow.asr":"ASR / Transcription","workflow.music":"Music generation","workflow.vc":"Voice conversion","workflow.sep":"Source separation","workflow.analysis":"Audio analysis","workflow.design":"Voice design","task.tts":"Text to speech","task.clon":"Voice cloning","task.asr":"Transcription","task.gen":"Music generation","task.midi":"Audio to MIDI","task.vc":"Voice conversion","task.svc":"Singing voice conversion","task.s2s":"Speech editing","task.sep":"Source separation","task.vad":"Voice activity","task.diar":"Speaker diarization","task.align":"Forced alignment","task.vdes":"Voice design","studio.eyebrow":"LOCAL AUDIO INTELLIGENCE","studio.title":"Audio studio","studio.subtitle.tts":"Generate natural speech from text, with voice presets and cloning when supported.","studio.subtitle.asr":"Transcribe spoken audio into text, with language and timestamp controls when supported.","studio.subtitle.music":"Create music and sound from a prompt, lyrics, or reference audio when supported.","studio.subtitle.vc":"Transform a recording into another voice while preserving the spoken or sung performance.","studio.subtitle.sep":"Split a recording into vocals, instruments, or other available audio stems.","studio.subtitle.analysis":"Analyze audio for speech activity, speakers, timing, and alignment.","studio.subtitle.design":"Create or refine a voice from a written description and supported reference controls.","studio.model":"Model","studio.noModel":"No model selected","studio.resident":"Resident","studio.notInstalled":"Not installed","studio.available":"Available","studio.chooseInstalled":"Choose an installed model","studio.notDownloaded":"not downloaded","studio.pathFound":"Path found","studio.pathMissing":"Path missing","studio.pathUnknown":"Path not inspected","studio.estimatedVram":"{value} GB estimated VRAM","studio.vram":"VRAM —","studio.load":"Load model","studio.unload":"Unload model","studio.working":"Working…","studio.bundledLoaded":"Bundled · loaded","request.label":"REQUEST","request.title":"Input & controls","request.prompt":"Prompt","request.alignmentText":"Alignment text","request.text":"Text","request.soundPlaceholder":"Describe the sound or music…","request.textPlaceholder":"Enter the text…","request.splitLongText":"Split and merge long text","request.charactersPerChunk":"Characters per chunk","request.lyrics":"Lyrics","request.optional":"optional","request.context":"Context prompt","request.contextHint":"optional terminology or names","request.voiceDescription":"Voice description","request.voiceDescriptionPlaceholder":"A warm, calm voice with measured pacing…","request.language":"Language","request.autoLanguage":"blank = auto","request.seed":"Seed","request.randomSeed":"-1 = random","request.maxTokens":"Maximum tokens","request.duration":"Duration seconds","request.minimaxFrames":"{frames} aligned output frames","request.sourceAudio":"Source audio","request.stopRecording":"Stop recording","request.recordingMicrophone":"Recording microphone","request.recordMicrophone":"Record microphone","request.liveTitle":"Live microphone transcription","request.liveDescription":"Processes consecutive four-second requests using the model's streaming mode.","request.stopLive":"Stop live","request.startLive":"Start live","voice.quickStart":"Quick-start voice presets (demo voices)","voice.configured":"Configured voices","voice.useReference":"Use a reference audio file below","voice.bundledNote":"The bundled reference audio and its matching transcript are supplied automatically.","voice.reference":"Reference voice","voice.required":"required","voice.optional":"optional","voice.referenceText":"Reference text","voice.recording":"Recording voice reference","voice.transcript":"Reference transcript","voice.requiredClone":"required for this voice clone","voice.recommendedClone":"recommended for cloning","voice.transcriptPlaceholder":"Type the exact words spoken in the reference audio, or load a matching .txt file above.","voice.saved":"Saved voices","voice.browserOnly":"stored only in this browser","voice.chooseSaved":"Choose a saved voice...","voice.libraryName":"Library name","voice.namePlaceholder":"My reference voice","voice.save":"Save voice","common.delete":"Delete","common.enabled":"Enabled","common.disabled":"Disabled","common.cancel":"Cancel","common.close":"Close","common.refresh":"Refresh","common.browse":"Browse","common.apply":"Apply","common.applying":"Applying…","file.choose":"Choose file","file.none":"No file chosen","options.modelParameters":"Model parameters","options.additional":"Additional options","param.minimax_h3.num_inference_steps.label":"Denoising steps","param.minimax_h3.num_inference_steps.info":"Twelve denoising steps provide a practical quality and performance balance.","param.minimax_h3.num_frames.label":"Output frames","param.minimax_h3.num_frames.info":"Calculated from duration at approximately 24 frames per output second. Editing frames also updates duration.","param.minimax_h3.guidance_scale.label":"Guidance scale","param.minimax_h3.sampler.label":"Sampler","param.minimax_h3.dit_acceleration.label":"DiT acceleration","param.minimax_h3.dit_acceleration.info":"None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs.","param.minimax_h3.return_video.label":"Decode video","param.minimax_h3.return_video.info":"Disabled by default to reduce memory use and return audio only.","model.minimax_h3.hint":"MiniMax-H3 uses a joint audio/video DiT. GGUF Q4 is the quality-first choice; CUDA-only GGUF Q4 ConvRot uses slightly more VRAM for higher speed. The default full-DiT path prioritizes audio quality and video decoding is disabled.","run.run":"Run","run.cancel":"Cancel","run.working":"Working…","result.label":"RESULT","result.title":"Output","result.track":"track","result.tracks":"tracks","result.saveWav":"Save WAV","result.empty":"Generated audio and structured results appear here.","models.eyebrow":"MODEL LIBRARY","models.title":"Local packages","models.subtitle":"Download and manage model packages without leaving the native interface.","models.folder":"Models folder","models.folderHint":"downloads, local detection, and model loading","models.folderPlaceholder":"models folder beside audiocpp_server","models.default":"Default","models.useDefault":"Use default","models.showTypes":"Show model types","models.model":"model","models.variants":"variants","models.update":"Update","models.reinstall":"Reinstall","models.upToDate":"Up to date","models.updateAvailable":"Update available","models.versionUnknown":"Version unknown","models.selected":"Selected","models.downloaded":"Downloaded","models.queued":"queued","models.stopping":"stopping","models.checkingSize":"checking size…","models.hfAccess":"HF access required","models.sizeUnavailable":"size unavailable","models.stopDownload":"Stop download","models.cleanPartial":"Clean partial download","models.sharedPackage":"Uses the shared {name} package shown above.","runtime.eyebrow":"RUNTIME","runtime.title":"Session log","runtime.subtitle":"Browser-side lifecycle and request events.","runtime.status":"Status","runtime.backend":"Backend","runtime.registered":"Registered","runtime.resident":"Resident","runtime.noEvents":"No events yet.","status.ready":"Ready","status.modelReady":"{model} is resident and ready.","status.runningTask":"Running {task}...","status.completeIn":"Complete in {seconds}s.","status.packageAvailable":"{model} will use {format}. It is available in Studio.","folder.eyebrow":"MODELS FOLDER","folder.title":"Choose a folder","folder.closeLabel":"Close folder browser","folder.loading":"Loading...","folder.up":"Up one level","folder.loadingFolders":"Loading folders...","folder.empty":"This folder has no subfolders.","folder.select":"Select this folder","footer.embedded":"SvelteKit · embedded in audiocpp_server"},Vg=Object.assign({"../../lang/lang_it.json":Rg,"../../lang/lang_pl.json":Eg,"../../lang/lang_ru.json":Bg,"../../lang/lang_zh.json":Dg}),Ja=new Map([["en",Fl]]),gu=[{code:"en",name:"English"}];for(const[t,i]of Object.entries(Vg).sort(([o],[n])=>o.localeCompare(n))){const o=t.match(/lang_([^/\\.]+)\.json$/)?.[1]?.toLowerCase(),n=(i.code||o||"").trim().toLowerCase();!n||n==="en"||!i.name||!i.translations||(Ja.set(n,i.translations),gu.push({code:n,name:i.name}))}const Ig=gu;function hu(t){const i=Ja.get(t)||Fl;return(o,n={},s=o)=>{let a=i[o]||Fl[o]||s;for(const[l,d]of Object.entries(n))a=a.replaceAll(`{${l}}`,String(d));return a}}function vu(t){for(const i of t){const o=i.toLowerCase();if(Ja.has(o))return o;const n=o.split("-")[0];if(Ja.has(n))return n}return"en"}const Pg=/^\s*(Speaker\s+\d+\s*:)\s*(.*)$/i,Lg=/[^。！？!?；;…]*[。！？!?；;…]+|[^。！？!?；;…]+$/g;function Og(t,i){const o=Pg.exec(t),n=o?`${o[1]} `:"",s=o?o[2]:t.trim(),a=s.match(Lg)||[s],l=[];let d="";for(const m of a){if(d&&d.length+m.length>i&&(l.push(n+d),d=""),m.length<=i){d+=m;continue}d&&(l.push(n+d),d="");for(let h=0;h<m.length;h+=i)l.push(n+m.slice(h,h+i))}return d&&l.push(n+d),l.length?l:[t]}function Ng(t,i){const o=[];for(const l of t.split(/\r?\n/))l.trim()&&o.push(...l.length>i?Og(l,i):[l]);const n=[];let s=[],a=0;for(const l of o){const d=s.length?1:0;s.length&&a+d+l.length>i&&(n.push(s.join(`
 `)),s=[],a=0),s.push(l),a+=(s.length>1?1:0)+l.length}return s.length&&n.push(s.join(`
 `)),n.length?n:t.trim()?[t]:[]}function jl(t){return t==="vibevoice"?600:t==="voxcpm2"?60:1e3}const Hg="audiocpp-native-studio",Wa="voices";function Qg(){return new Promise((t,i)=>{const o=indexedDB.open(Hg,1);o.onupgradeneeded=()=>{o.result.objectStoreNames.contains(Wa)||o.result.createObjectStore(Wa,{keyPath:"id"})},o.onsuccess=()=>t(o.result),o.onerror=()=>i(o.error||new Error("Could not open the voice library."))})}function zl(t,i){return Qg().then(o=>new Promise((n,s)=>{const a=o.transaction(Wa,t),l=i(a.objectStore(Wa));l.onsuccess=()=>n(l.result),l.onerror=()=>s(l.error||new Error("Voice library operation failed.")),a.oncomplete=()=>o.close(),a.onerror=()=>{o.close(),s(a.error||new Error("Voice library transaction failed."))}}))}async function Jg(){return(await zl("readonly",i=>i.getAll())).sort((i,o)=>o.createdAt-i.createdAt)}function Wg(t){return zl("readwrite",i=>i.put(t))}function Kg(t){return zl("readwrite",i=>i.delete(t))}var Vs=D("<button> </button>"),Is=D("<option> </option>"),Xg=D("<button> <small> </small></button>"),Zg=D("<optgroup></optgroup>"),Yg=D('<div class="studio-package-buttons" aria-label="Model format"></div>'),eh=D('<div class="hint"> </div>'),th=D('<label for="text"> </label> <textarea id="text"></textarea>',1),ih=D('<div class="long-text-row"><label class="toggle"><input type="checkbox"/> <span></span> </label> <div><label for="chunk-budget"> </label> <input id="chunk-budget" type="number" min="40" max="10000"/></div></div>'),oh=D('<label for="lyrics"> <span> </span></label> <textarea id="lyrics" rows="3" placeholder="[Verse]…"></textarea>',1),nh=D('<label for="context"> <span> </span></label> <textarea id="context" rows="2"></textarea>',1),sh=D('<label for="instructions"> </label> <textarea id="instructions" rows="2"></textarea>',1),ah=D('<div><label for="language"> <span> </span></label> <input id="language" placeholder="auto"/></div>'),rh=D('<div><label for="seed"> <span> </span></label> <input id="seed" type="number" min="-1" max="4294967295" step="1"/></div>'),lh=D('<div><label for="tokens"> </label> <input id="tokens" type="number" min="1"/></div>'),Ul=D("<small> </small>"),dh=D('<div><label for="duration"> </label> <input id="duration" type="number" min="1" step="0.1"/> <!></div>'),yu=D('<button class="danger" type="button"> </button> <span class="recording-dot"> </span>',1),bu=D("<span> </span>"),ku=D('<button type="button"> </button> <!>',1),ch=D('<button class="danger" type="button"> </button>'),uh=D('<button type="button"> </button>'),fh=D('<div class="live-card"><div><strong> </strong> <small> </small></div> <!></div>'),mh=D('<label for="source"> </label> <input id="source" class="file file-native" type="file" accept="audio/*"/> <label class="file-picker" for="source"><strong> </strong><span> </span></label> <div class="media-actions"><!></div> <!>',1),ph=D('<div class="quick-voice-note"> </div>'),_h=D('<label for="quick-start-voice"> </label> <select id="quick-start-voice"><option> </option><!></select> <!>',1),gh=D('<!> <div class="reference-input-grid"><div><label for="voice"> <span> </span></label> <input id="voice" class="file file-native" type="file" accept="audio/*"/> <label class="file-picker" for="voice"><strong> </strong><span> </span></label></div> <div><label for="reference-file"> <span>.txt</span></label> <input id="reference-file" class="file file-native" type="file" accept=".txt,text/plain"/> <label class="file-picker" for="reference-file"><strong> </strong><span> </span></label></div></div> <div class="media-actions"><!></div> <label for="reference"> <span> </span></label> <textarea id="reference" rows="2"></textarea> <div class="voice-library"><div><label for="saved-voice"> <span> </span></label> <select id="saved-voice"><option> </option><!></select></div> <div><label for="voice-name"> </label> <input id="voice-name"/></div> <div class="library-actions"><button type="button"> </button> <button class="danger" type="button"> </button></div></div>',1),hh=D('<label class="toggle"><input type="checkbox"/> <span></span> </label>'),vh=D("<select></select>"),yh=D('<div class="range"><input type="range"/> <output> </output></div>'),bh=D("<input/>"),kh=D("<div><label> </label> <!> <!></div>"),wh=D('<details><summary> <span> </span></summary> <div class="parameter-grid"></div></details>'),xh=D('<div class="section-title"><div><span> </span><h2> </h2></div> <span class="task-chip"> </span></div> <!> <!> <!> <!> <!> <div class="field-grid"><!> <!> <!> <!></div> <!> <!> <!> <details><summary> <span>JSON</span></summary> <textarea class="code" rows="3"></textarea></details> <div class="runbar"><button class="run"><span> </span> <kbd>Ctrl ↵</kbd></button> <button> </button> <div> </div></div>',1),$h=D('<div class="section-title"><div><span> </span><h2> </h2></div></div> <div class="empty-output"><p> </p></div>',1),Sh=D('<span class="task-chip"> </span>'),Gh=D('<article><div><strong> </strong><a> </a></div> <audio controls=""></audio></article>'),wu=D('<div class="audio-list"></div>'),Th=D("<article><div><strong> </strong><a> </a></div></article>"),qh=D('<div class="empty-output"><div class="wave">∿</div><p> </p></div>'),Fh=D('<textarea class="transcript" readonly="" rows="7"></textarea>'),jh=D("<pre> </pre>"),zh=D('<nav class="workflow-tabs"></nav> <section class="hero"><div><p class="eyebrow"> </p> <h1> </h1> <p> </p></div> <div class="hero-stat"><span> </span> <strong> </strong> <small> </small></div></section> <div class="studio-grid"><aside class="panel model-rail"><label for="model"> </label> <select id="model"><option> </option><!></select> <div class="path-state"><span> </span> <span> </span></div> <!> <!></aside> <section class="panel controls"><!></section> <section class="panel output"><div class="section-title"><div><span> </span><h2> </h2></div> <!></div> <!> <!> <!> <!> <!></section></div>',1),Uh=D('<label><input type="checkbox"/> <span> </span></label>'),Mh=D('<span class="package-size"> </span>'),Ah=D('<button class="package-update"> </button>'),Ch=D('<button class="package-delete"><svg viewBox="0 0 24 24" aria-hidden="true"><path d="M9 3h6l1 2h4v2H4V5h4l1-2Zm-2 6h10l-1 11H8L7 9Zm3 2v7h2v-7h-2Zm4 0v7h2v-7h-2Z"></path></svg></button>'),Rh=D('<div class="package-choice"><button><span> </span> <!></button> <!> <!></div>'),Eh=D('<button class="danger"> </button>'),Bh=D('<div><div class="install-progress-head"><strong> </strong> <span> </span></div> <div role="progressbar" aria-valuemin="0" aria-valuemax="100"><span></span></div> <div class="install-status"> </div> <div class="install-actions"><!></div></div>'),Dh=D("<div></div> <!>",1),Vh=D('<div class="shared-package-note"> </div>'),Ih=D('<section><div class="variant-copy"><strong> </strong> <span> </span></div> <div class="model-actions"><!></div></section>'),Ph=D('<article><div class="model-icon"> </div> <div class="model-copy family-copy"><span> </span> <h3> </h3> <p> </p></div> <div class="model-variant-list"></div></article>'),Lh=D('<div class="model-column"></div>'),Oh=D('<section class="page-head"><p class="eyebrow"> </p><h1> </h1> <p> </p></section> <section class="panel models-folder-options"><div class="models-folder-controls"><div class="models-folder-field"><label for="models-folder"> <span> </span></label> <input id="models-folder"/> <!></div> <button> </button> <button> </button> <button> </button></div> <fieldset class="model-type-filters"><legend> </legend> <div></div></fieldset></section> <section class="model-grid"></section>',1),Nh=D('<section class="page-head"><p class="eyebrow"> </p><h1> </h1><p> </p></section> <section class="panel log-panel"><div class="runtime-cards"><div><span> </span><strong> </strong></div> <div><span> </span><strong> </strong></div> <div><span> </span><strong> </strong></div> <div><span> </span><strong> </strong></div></div> <pre class="logs"> </pre></section>',1),Hh=D('<div class="folder-browser-roots"></div>'),Qh=D('<div class="folder-browser-error"> </div>'),xu=D('<div class="folder-browser-empty"> </div>'),Jh=D('<button><span class="folder-icon">&gt;</span><span> </span></button>'),Wh=D('<div class="folder-browser-list"></div>'),Kh=D('<div class="folder-browser-backdrop"><div class="panel folder-browser-dialog" role="dialog" aria-modal="true" aria-labelledby="folder-browser-title"><header><div><span> </span><h2 id="folder-browser-title"> </h2></div> <button> </button></header> <div class="folder-browser-location"> </div> <!> <div class="folder-browser-toolbar"><button> </button> <button> </button></div> <!> <footer><button> </button> <button class="primary"> </button></footer></div></div>'),Xh=D('<header class="topbar"><div class="brand"><div class="mark">A</div> <div><strong>audio.cpp</strong> <span> </span></div></div> <nav><button> </button> <!> <button> </button></nav> <label class="language-picker"><span> </span> <select></select></label> <div><i></i> </div></header> <main><!></main> <!> <footer><span>audio.cpp native WebUI</span><span> </span></footer>',1);function Zh(t,i){ya(i,!1);const o=C(),n=C(),s=C(),a=C(),l=C(),d=C(),m=C(),h=C(),w=C(),S=C(),T=C(),G=C(),F=C(),U=C();let j=C("studio"),x=C(Tt[0]?.id||""),y=C(Tt[0]),I=C(e(y)?.path||""),B=C([]),R=C(null),ce=C(null),te=C(!1),ze=C(!1),q=C("Ready"),ye=C(""),Fe=C(""),mt=C(""),lo=C(""),Wn=C(""),Yt=C(""),Ka=C(""),Xa=C(""),zo=C(30),Ml=C(1234),Ps=C(1024),Uo=C(null),Le=C(null),$i=C(null),en=C(null),Lt=C(null),Ls=C("{}"),Pe=C({}),tn=C([]),kt=C([]),on=C([]),nn=C(""),Kn=C(""),Os=C([]),Mo=null,Za=C(!0),Xn=C(jl(e(y)?.family||"")),Ya=C([]),Ot=C(""),Zn=C(""),tt=C(null),Ns=C(null),sn=null,Yn=null,gi=null,Ao=C(!1),Hs=!1,$u=Promise.resolve(),an=0,Se=C({}),Co=C(""),co=C(""),Qs=C(""),Su=C(!0),uo=C(!1),rn=C(!1),ln=C(!1),er=C(""),pt=C(null),Nt=null,Mt={},fe=C({}),At=C("idle"),Oi=null,Al=!1,tr={},ir=C([]),Ni=C([]),Cl=C([]),Xe=C(""),Si=C("en"),u=C(hu(e(Si)));const Gu={demo_1_man:"demo_1_man",demo_2_man:"demo_2_man",demo_3_woman:"demo_3_woman",demo_4_woman:"demo_4_woman"};function tv(r){f(Si,vu([r])),localStorage.setItem("audiocpp.ui.language",e(Si)),document.documentElement.lang=e(Si)}async function iv(){try{if("serviceWorker"in navigator){const r=await navigator.serviceWorker.getRegistrations();await Promise.all(r.map(c=>c.unregister()))}if("caches"in window){const r=await window.caches.keys();await Promise.all(r.map(c=>window.caches.delete(c)))}}catch(r){console.warn("Unable to clear legacy WebUI caches:",r)}}function Tu(r,c,v=e(u)){return v(`workflow.${r==="conversion"?"vc":r==="separation"?"sep":r}`,{},c)}function es(r,c=e(u)){return r?c(`task.${r}`,{},Cg[r]||r):c("studio.title")}function or(r,c,v=e(u)){const $=c==="label"?r.label_en||r.label||r.name.replace(/_/g," "):c==="info"?r.info_en||r.info||"":r.placeholder_en||r.placeholder||"";return v(`param.${e(y)?.family}.${r.name}.${c}`,{},$)}function ov(r=e(u)){const c=e(y)?.input_hint_en||e(y)?.input_hint||"";return r(`model.${e(y)?.family}.hint`,{},c)}function qu(r){const c=Math.max(1,Number.isFinite(r)?r:1)*24;return Math.max(5,Math.round((c-3)/17)*17+3)}function nv(r){f(zo,Math.max(1,Number.isFinite(r)?r:1)),e(y)?.family==="minimax_h3"&&f(Pe,{...e(Pe),num_frames:qu(e(zo))})}function nr(r,c){if(f(Pe,{...e(Pe),[r.name]:c}),e(y)?.family==="minimax_h3"&&r.name==="num_frames"){const v=Number(c);Number.isFinite(v)&&v>0&&f(zo,v/24)}}const Ro=[{id:"tts",label:"Text to speech",filterLabel:"TTS",tasks:["tts","clon"]},{id:"asr",label:"ASR / Transcription",filterLabel:"ASR",tasks:["asr"]},{id:"music",label:"Music generation",filterLabel:"Music",tasks:["gen"]},{id:"conversion",label:"Voice conversion",filterLabel:"Voice conversion",tasks:["vc","svc","s2s"]},{id:"separation",label:"Source separation",filterLabel:"Separation",tasks:["sep"]},{id:"analysis",label:"Audio analysis",filterLabel:"Analysis",tasks:["vad","diar","align","spk","midi"]},{id:"design",label:"Voice design",filterLabel:"Voice design",tasks:["vdes"]}],Fu={qwen3_tts:"Qwen3-TTS",irodori_tts:"Irodori-TTS",chatterbox:"Chatterbox",stable_audio:"Stable Audio 3",qwen3_asr:"Qwen3-ASR",vevo2:"Vevo2",seed_vc:"Seed-VC"};function sv(r){const $=(r.replace(/\\/g,"/").split("/").filter(Boolean).pop()||"").match(/(?:^|[-_])(\d+(?:\.\d+)?[bm])(?:[-_]|$)/i);return $?$[1].toUpperCase():""}function Rl(r,c){const v=fo(c),$=fo(ts(r));if(v===$)return!0;const z=fo(r).replace(/^models\//,"");return v===z||v.endsWith(`/${z}`)}function ju(r,c){return r.family!==c.family||r.task!==c.task?!1:Rl(r.path,c.path)?!0:!!(r.install_packages||[]).some(v=>Rl(v.path,c.path))}function zu(r){const c=Tt.find(v=>v.id===r.id);return c&&ju(c,r)?c:Tt.find(v=>ju(v,r))}function Uu(r,c){const v=sv(r.path),$=Fu[r.family]||c?.display_name||r.family;return v&&!$.toLowerCase().includes(v.toLowerCase())?`${$} ${v}`:$}function av(r){return zu(r)?.display_name||Uu(r)}function Mu(r,c){return r.localeCompare(c,"en",{sensitivity:"base",numeric:!0})}function Au(){return e(B).map(r=>{const c=zu(r),v=Tt.find(z=>z.family===r.family&&z.task===r.task),$=c||v;return{...$||{id:r.id,display_name:r.id,family:r.family,path:r.path,task:r.task,mode:r.mode},id:r.id,display_name:c?c.display_name:Uu(r,$),display_name_en:c?c.display_name_en:$?.display_name_en,family:r.family,path:r.path,task:r.task,mode:r.mode,install_packages:[]}})}function Cu(r){return Array.from(r.reduce((c,v)=>{const $=c.get(v.family)||[];return $.push(v),c.set(v.family,$),c},new Map)).map(([c,v])=>({family:c,entries:[...v].sort(($,z)=>Mu($.display_name,z.display_name)),label:v.length>1&&Fu[c]||v[0].display_name})).sort((c,v)=>Mu(c.label,v.label))}let hi=C("tts"),dn={},cn=C(Ro.map(r=>r.id)),wt=C(Tt),El=C(Cu(Tt));class un extends Error{}function Ve(r){const c=`${new Date().toLocaleTimeString()}  ${r}`;f(Os,[c,...e(Os)].slice(0,200))}function Js(r){if(!Number.isFinite(r)||r<=0)return"0 B";const c=["B","KB","MB","GB","TB"],v=Math.min(Math.floor(Math.log(r)/Math.log(1024)),c.length-1);return`${(r/1024**v).toFixed(v<2?0:1)} ${c[v]}`}function ts(r){if(!e(Co))return r;const c=r.replace(/\\/g,"/");if(c==="models")return e(Co);if(!c.startsWith("models/"))return r;const v=c.slice(7),$=e(Co).includes("\\")?"\\":"/";return`${e(Co).replace(/[\\/]+$/,"")}${$}${v.replace(/\//g,$)}`}function Ru(r){const c=r.install_packages||[];return c.find(v=>v.id===Mt[r.id])||c[0]}function is(r,c){return Ru(r)?.id===c.id}function Ws(r){return e(R)&&!e(R).ui_management?r.path:ts(Ru(r)?.path||r.path)}function fo(r){return r.replace(/\\/g,"/").replace(/\/$/,"").toLowerCase()}function Eu(r,c){return Rl(r.path,c)}function Bl(r,c=e(B)){return c.find(v=>v.id===r.id&&v.loaded)}function sr(r,c,v=e(B)){const $=Bl(r,v);return!!($&&Eu(c,$.path))}function Bu(r,c,v=e(B),$=e(fe)){return sr(r,c,v)||$[c.id]?.installed===!0}function rv(r){const c=r.install_packages||[];if(r.family==="ace_step")return c.map(z=>({key:z.id,label:z.label,choice:z}));const v=c.find(z=>z.format==="gguf"&&["q8","q8_0"].includes(z.precision)),$=c.find(z=>z.format==="gguf"&&["f16","fp16","bf16"].includes(z.precision));return!v&&!$?c.map(z=>({key:z.id,label:z.label,choice:z})):[{key:"q8",label:v?.label||"GGUF Q8",choice:v},{key:"fp16",label:$?.label||"GGUF FP16",choice:$}]}function lv(r){if(!Number.isInteger(r)||r<-1||r>4294967295)throw new Error("Seed must be -1 or an unsigned 32-bit integer (0 to 4294967295).");if(r>=0)return r;const c=new Uint32Array(1);return globalThis.crypto.getRandomValues(c),c[0]}function dv(r,c){return(r+c)%4294967296}function Du(r){return r.replace(/\.[^.]+$/,"").trim().toLowerCase()}function cv(r){const c=!!(r&&(e(Xe)||e(Ot)||e(Le)&&e(Le).name!==r.name));r&&(f(Xe,""),f(Ot,"")),f(Le,r),c&&(f(en,null),f(Yt,""),e(Lt)&&oo(Lt,e(Lt).value=""),f(q,"Reference voice changed. Choose or enter its matching transcript."),f(ye,e(q)))}function uv(r){f(Xe,r),r&&(f(Ot,""),f(Le,null),f(Zn,""),f(en,null),f(Yt,""),e($i)&&oo($i,e($i).value=""),e(Lt)&&oo(Lt,e(Lt).value=""))}async function fv(r){if(f(en,r),!!r)try{const c=(await r.text()).replace(/^\uFEFF/,"").trim();if(!c)throw new Error("The selected reference text file is empty.");f(Yt,c);const v=!e(Le)||Du(r.name)===Du(e(Le).name);f(q,v?`Loaded reference transcript from ${r.name}.`:`Loaded ${r.name}. Its name does not match ${e(Le)?.name}; verify that it is the correct transcript.`),f(ye,v?"":e(q))}catch(c){f(en,null),f(Yt,""),e(Lt)&&oo(Lt,e(Lt).value=""),f(q,c instanceof Error?c.message:String(c)),f(ye,"")}}function Dl(r){return r.state==="complete"||r.state==="cleaned"?100:r.progress_percent>=0?Math.min(100,Math.max(0,r.progress_percent)):0}function mv(r){const c=Dl(r);return r.total_bytes>0?`${c}% · ${Js(r.downloaded_bytes)} / ${Js(r.total_bytes)}`:r.downloaded_bytes>0?`${Js(r.downloaded_bytes)} downloaded`:r.state==="failed"?"Download failed":r.state==="cleaned"?"Partial files cleaned":r.state==="complete"?"100% · complete":r.state==="queued"?"0% · queued":"Connecting and checking package files…"}function Vu(r,c){return(r.install_packages||[]).map(v=>c[v.id]).filter(v=>v!==void 0)}function pv(r,c){const v=r.entries.findIndex(z=>z.id===c.id),$=new Set(r.entries.slice(0,Math.max(0,v)).flatMap(z=>(z.install_packages||[]).map(V=>V.id)));return(c.install_packages||[]).filter(z=>!$.has(z.id))}function _v(r,c){const v=r.map($=>c[$.id]).filter($=>$!==void 0);return v.find($=>["running","queued","cancelling"].includes($.state))||[...v].sort(($,z)=>z.finished_at_ms-$.finished_at_ms)[0]}function gv(r,c){return Vu(r,c).some(v=>v.state==="running"||v.state==="queued"||v.state==="cancelling")}function Iu(r,c){return r.entries.some(v=>gv(v,c))}function Pu(r){return r.request_options!==void 0?r.request_options.includes("max_tokens"):["tts","clon","gen","s2s","vdes"].includes(r.task)}function Lu(r,c){return r.request_options===void 0||r.request_options.includes(c)}function hv(r,c=e(u)){return r?.installed?r.version_state==="up_to_date"?c("models.upToDate"):r.version_state==="update_available"?c("models.updateAvailable"):c("models.versionUnknown"):""}function Vl(r){return e(U).has(r.id)}function Il(r){return Ro.find(c=>c.tasks.some(v=>v===r))?.id||"tts"}function vv(r,c,v=e(u)){return c?.state==="running"?`${r.label}…`:c?.state==="queued"?`${r.label} ${v("models.queued")}`:c?.state==="cancelling"?`${r.label} ${v("models.stopping")}`:r.label}function Ou(r,c,v,$=e(u)){const z=r?.size_bytes!==null&&r?.size_bytes!==void 0?Js(r.size_bytes):"";if(r?.installed){const V=hv(r,$);return`${$(v?"models.selected":"models.downloaded")}${V?` · ${V}`:""}${z?` · ${z}`:""}`}return z||(r?.state==="pending"?$("models.checkingSize"):r?.state==="gated"?$("models.hfAccess"):r?.state==="error"||r?.state==="unknown"?$("models.sizeUnavailable"):c==="running"?$("models.checkingSize"):"")}function yv(r,c=e(u)){return r==="Ready"?c("status.ready"):r}async function fn(){if(!(!e(R)?.ui_management||Al)){Al=!0;try{const r=await F_();f(At,r.state),r.data.length&&(f(fe,Object.fromEntries(r.data.map(v=>[v.id,v]))),r.state==="complete"&&Ll(e(fe)));const c=r.state==="idle"||r.state==="running"||r.data.length===0;c&&Oi===null?Oi=window.setInterval(fn,1e3):!c&&Oi!==null&&(window.clearInterval(Oi),Oi=null)}catch(r){f(At,"failed"),Ve(`Package sizes unavailable: ${r instanceof Error?r.message:r}`)}finally{Al=!1}}}function bv(){if(!e(R)?.ui_management){f(j,"studio"),f(q,"Model management is disabled for this configured server."),f(ye,e(q)),f(Fe,"");return}f(j,"models"),e(At)==="idle"&&f(At,"running"),fn()}function Pl(r,c){Mt={...Mt,[r.id]:c.id},localStorage.setItem("audiocpp.ui.packageIds",JSON.stringify(Mt)),r.id===e(x)&&f(I,ts(c.path))}function Ll(r=e(fe)){const c={...Mt};let v=!1;for(const $ of Tt){const z=$.install_packages||[];if(!z.length)continue;const V=z.find(Be=>Be.id===c[$.id]),O=V?e(Se)[V.id]:void 0;if(O&&["queued","running","cancelling"].includes(O.state)||V&&r[V.id]?.installed)continue;const Y=z.find(Be=>r[Be.id]?.installed);Y?c[$.id]!==Y.id&&(c[$.id]=Y.id,v=!0):c[$.id]!==void 0&&(delete c[$.id],v=!0)}return v?(Mt=c,localStorage.setItem("audiocpp.ui.packageIds",JSON.stringify(Mt)),e(x)&&f(I,Ws(e(y))),!0):!1}function kv(r=e(B)){const c={...Mt};let v=!1;for(const $ of Tt){const z=Bl($,r);if(!z)continue;const V=($.install_packages||[]).find(O=>Eu(O,z.path));V&&c[$.id]!==V.id&&(c[$.id]=V.id,v=!0)}return v?(Mt=c,localStorage.setItem("audiocpp.ui.packageIds",JSON.stringify(Mt)),e(x)&&f(I,Ws(e(y))),!0):!1}async function wv(r=e(fe)){const c=Tt.filter(v=>{const $=Bl(v);if(!$)return!1;const z=fo($.path),V=(v.install_packages||[]).find(O=>fo(ts(O.path))===z);return!!(V&&r[V.id]?.installed===!1)});if(!c.length)return!1;for(const v of c)await Qa(v.id);return await mo(),!0}async function xv(){f(j,"studio"),await mo(),e(R)?.ui_management&&(await fn(),await wv(),Ll()&&e(x)&&await mn())}function Nu(r){f(Co,r.models_root),f(co,r.models_root),f(Qs,r.default_models_root),f(Su,r.is_default),f(I,Ws(e(y)))}function ar(){f(x,""),f(Xe,""),f(Ni,[]),f(I,""),f(ce,null),f(tn,[]),f(Pe,{}),f(Ls,"{}"),localStorage.removeItem("audiocpp.ui.model"),Nl()}function rr(r=!1){return e(R)&&!e(R).ui_management||!e(x)||!r&&e(a)||e(ce)!==!1?!1:(ar(),!0)}async function Hu(r=!1){if(!(!e(R)?.ui_management||e(uo))){f(uo,!0),f(ye,""),f(Fe,""),f(q,r?"Restoring the default models folder…":"Changing models folder…");try{const c=await su(r?"":e(co).trim());Nu(c),c.is_default?localStorage.removeItem("audiocpp.ui.modelsFolder"):localStorage.setItem("audiocpp.ui.modelsFolder",c.models_root),f(Se,{}),f(fe,{}),f(At,"idle"),tr={},Nt!==null&&(window.clearInterval(Nt),Nt=null),Oi!==null&&(window.clearInterval(Oi),Oi=null),await fn(),await mn();const v=rr();f(q,v?`Models folder: ${c.models_root}. No installed model is selected.`:`Models folder: ${c.models_root}`),Ve(e(q))}catch(c){f(q,c instanceof Error?c.message:String(c)),f(Fe,e(q)),Ve(`Models folder change failed: ${e(q)}`)}finally{f(uo,!1)}}}async function Ks(r=""){f(rn,!0),f(ln,!0),f(er,"");try{f(pt,await z_(r||e(co).trim()||e(Co)))}catch(c){f(er,c instanceof Error?c.message:String(c))}finally{f(ln,!1)}}function $v(){e(pt)&&(f(co,e(pt).current),f(rn,!1))}function Ol(){const r=_u[e(y)?.id]||_u[e(y)?.family]||[];f(tn,r),f(Pe,Object.fromEntries(r.map(c=>[c.name,c.default??""]))),e(y)?.family==="minimax_h3"?(f(zo,15),f(Pe,{...e(Pe),num_frames:qu(e(zo)),dit_acceleration:"none"})):e(y)?.task==="gen"&&f(zo,30),f(Ls,"{}")}function Sv(){if(!e(R)||e(R).ui_management)return;const r=Au();if(!r.length){ar();return}const v=(e(x)?r.find($=>$.id===e(x)):void 0)||r[0];e(x)!==v.id&&(f(Xe,""),f(Ni,[])),f(x,v.id),f(y,v),f(hi,Il(v.task)),dn={...dn,[e(hi)]:v.id},f(I,v.path),f(ce,!0),f(Xn,jl(v.family)),localStorage.setItem("audiocpp.ui.model",v.id),Ol()}async function mo(){try{await(async r=>{var c=Mf(r,2);f(R,c[0]),f(B,c[1])})(await Promise.all([b_(),k_()])),e(R).ui_management?kv():Sv()}catch(r){f(q,r instanceof Error?r.message:String(r))}}async function mn(){if(!e(x)||!e(I).trim()){f(ce,null);return}if(e(R)&&!e(R).ui_management){f(ce,e(B).some(r=>r.id===e(x)));return}f(ce,null);try{f(ce,(await x_(e(I))).exists)}catch{f(ce,null)}}function Qu(r){if(!r){ar(),f(q,"No model selected. Choose an installed model or download one from the Models tab.");return}const c=e(wt).find(v=>v.id===r);!c||!Vl(c)||(f(x,r),f(y,c),f(Xe,""),f(Ni,[]),f(hi,Il(c.task)),dn={...dn,[e(hi)]:r},f(I,Ws(c)),f(Xn,jl(c.family)),localStorage.setItem("audiocpp.ui.model",r),Ol(),mn(),ef())}function Gv(r){const c=Ro.find(V=>V.id===r);if(!c||(f(hi,r),e(x)&&c.tasks.some(V=>V===e(y)?.task)))return;const v=dn[r],z=(v?e(wt).find(V=>V.id===v&&c.tasks.some(O=>O===V.task)&&Vl(V)):void 0)||e(wt).find(V=>c.tasks.some(O=>O===V.task)&&Vl(V));if(z){Qu(z.id);return}ar(),f(q,`No installed models are available for ${c.label}. Install one from the Models tab.`)}function Tv(r,c){f(cn,c?[...e(cn),r].filter((v,$,z)=>z.indexOf(v)===$):e(cn).filter(v=>v!==r))}async function lr(r){if(!e(x)){f(q,"Choose an installed model before loading."),f(ye,e(q)),f(Fe,"");return}if(!e(R)?.ui_management){f(q,"This server was not started with UI management enabled."),f(ye,e(q)),f(Fe,"");return}f(te,!0),f(ye,""),f(Fe,""),f(q,`Loading ${e(y).display_name}…`),Ve(e(q));try{const c=fo(e(I)),v=e(B).filter($=>$.loaded&&($.id!==e(y).id||fo($.path)!==c));for(const $ of v)Ve(`Unloading ${av($)} before loading ${e(y).display_name}.`),await Qa($.id);v.length&&await mo(),await w_({id:e(y).id,path:e(I),family:e(y).family,task:e(y).task,mode:r||e(y).mode||"offline",load_options:e(y).load_options||{},session_options:e(y).session_options||{}}),await mo(),f(q,e(u)("status.modelReady",{model:e(y).display_name})),f(Fe,""),Ve(e(q))}catch(c){throw f(q,c instanceof Error?c.message:String(c)),f(Fe,e(q)),Ve(`Load failed: ${e(q)}`),c}finally{f(te,!1)}}async function Ju(){if(!e(R)?.ui_management){f(q,"Model unload is disabled for this configured server."),f(ye,e(q)),f(Fe,"");return}if(!e(x))return;const r=e(y).display_name;f(te,!0);try{await Qa(e(y).id),await mo();const c=rr(!0);f(q,c?`${r} unloaded. No installed model is selected.`:`${r} unloaded.`),Ve(e(q))}catch(c){f(q,c instanceof Error?c.message:String(c))}finally{f(te,!1)}}async function qv(r){if(!(e(te)||!Bu(e(y),r))){if(sr(e(y),r)){await Ju();return}if(Pl(e(y),r),await mn(),e(ce)!==!0){f(q,`${e(y).display_name} ${r.label} is not available at the expected path.`),f(Fe,e(q));return}await lr()}}async function Fv(){e(te)||!e(x)||e(ce)===!1||(e(a)?await Ju():await lr())}async function Wu(r){if(!r)return;const c=e(y).task==="sep"?44100:["asr","vad","diar","align","midi"].includes(e(y).task)?16e3:void 0,v=await Tl(r,c);return ru(v,Mo?.signal)}function Ku(){let r={};try{if(r=JSON.parse(e(Ls)||"{}"),Array.isArray(r)||r===null)throw new Error("must be an object")}catch(v){throw new Error(`Advanced JSON is invalid: ${v instanceof Error?v.message:v}`)}return{...e(y).default_options||{},...e(Pe),...r}}function Nl(){for(const r of e(kt))URL.revokeObjectURL(r.url);f(kt,[]),f(on,[]),f(nn,""),f(Kn,"")}async function jv(){if(!e(R)?.ui_management){if(!e(B).some(r=>r.id===e(x)))throw new Error("Configured model is not registered by this server.");return}if(!e(a)&&(await lr(),await mo(),!e(B).some(r=>r.id===e(x)&&r.loaded)))throw new Error("Model did not load.")}async function zv(r){if(!e(R)?.ui_management){if(!e(B).some(v=>v.id===e(x)&&v.mode===r))throw new Error(`Configured model is not registered in ${r} mode.`);return}const c=e(B).find(v=>v.id===e(x)&&v.loaded);if((!c||c.mode!==r)&&(await lr(r),await mo()),!e(B).some(v=>v.id===e(x)&&v.loaded&&v.mode===r))throw new Error(`Model did not load in ${r} mode.`)}function Xu(){for(const r of["audio/webm;codecs=opus","audio/webm","audio/ogg;codecs=opus"])if(MediaRecorder.isTypeSupported(r))return r}async function Zu(r){if(!navigator.mediaDevices?.getUserMedia||typeof MediaRecorder>"u"){f(q,"Microphone recording is not supported by this browser.");return}if(!(e(tt)||e(Ao)))try{sn=await navigator.mediaDevices.getUserMedia({audio:!0});const c=[],v=Xu();f(tt,new MediaRecorder(sn,v?{mimeType:v}:void 0)),f(Ns,r),oo(tt,e(tt).ondataavailable=$=>{$.data.size&&c.push($.data)}),oo(tt,e(tt).onstop=()=>{const $=new Blob(c,{type:e(tt)?.mimeType||v||"audio/webm"}),z=new File([$],`recording-${Date.now()}.webm`,{type:$.type});r==="source"?f(Uo,z):(f(Xe,""),f(Ot,""),f(Le,z),e($i)&&oo($i,e($i).value="")),sn?.getTracks().forEach(V=>V.stop()),sn=null,f(tt,null),f(Ns,null),f(q,`${r==="voice"?"Voice reference":"Source audio"} recording captured.`)}),e(tt).start(),f(q,`Recording ${r==="voice"?"voice reference":"source audio"}…`)}catch(c){f(q,c instanceof Error?c.message:String(c)),sn?.getTracks().forEach(v=>v.stop()),sn=null,f(tt,null),f(Ns,null)}}function Yu(){e(tt)?.state==="recording"&&e(tt).stop()}async function Hl(){try{f(Ya,await Jg())}catch(r){Ve(`Voice library unavailable: ${r instanceof Error?r.message:r}`)}}async function Uv(){try{f(Cl,await au())}catch(r){Ve(`Quick-start voices unavailable: ${r instanceof Error?r.message:r}`)}}async function ef(){if(!e(x)||e(R)?.ui_management!==!1){f(Ni,[]);return}try{f(Ni,await au(e(x))),e(Xe)&&!e(Ni).includes(e(Xe))&&f(Xe,"")}catch(r){f(Ni,[]),Ve(`Configured voices unavailable: ${r instanceof Error?r.message:r}`)}}async function Mv(){if(!e(Le)){f(q,"Choose or record a voice reference first.");return}const r=e(Zn).trim()||e(Le).name.replace(/\.[^.]+$/,""),c=await Tl(e(Le)),v=crypto.randomUUID();await Wg({id:v,name:r,transcript:e(Yt),audio:c,createdAt:Date.now()}),await Hl(),f(Ot,v),f(Zn,r),f(q,`Saved voice “${r}” in this browser.`)}function Av(r){f(Ot,r);const c=e(Ya).find(v=>v.id===r);c&&(f(Xe,""),f(Le,new File([c.audio],`${c.name}.wav`,{type:"audio/wav"})),f(en,null),e($i)&&oo($i,e($i).value=""),e(Lt)&&oo(Lt,e(Lt).value=""),f(Yt,c.transcript),f(Zn,c.name),f(q,`Selected saved voice “${c.name}”.`))}async function Cv(){if(!e(Ot))return;const r=e(Ya).find(c=>c.id===e(Ot));await Kg(e(Ot)),f(Ot,""),await Hl(),f(q,`Deleted saved voice “${r?.name||""}”.`)}async function Rv(r){if(!r.size)return;const c=new File([r],`live-${an}.webm`,{type:r.type}),v=await Tl(c,16e3),$=await ru(v),z=await lu({model:e(y).id,audio:$,language:e(lo),text:e(Wn),options:Ku()}),V=String(z.text||"").trim();V&&f(nn,[e(nn),V].filter(Boolean).join(" ")),an+=1,f(q,`Listening… ${an} chunk${an===1?"":"s"} transcribed.`)}function tf(){if(!Yn||Hs)return;const r=[],c=Xu();gi=new MediaRecorder(Yn,c?{mimeType:c}:void 0),gi.ondataavailable=v=>{v.data.size&&r.push(v.data)},gi.onstop=()=>{const v=new Blob(r,{type:gi?.mimeType||c||"audio/webm"});$u=$u.then(()=>Rv(v)).catch($=>{f(q,$ instanceof Error?$.message:String($)),Ve(`Live transcription failed: ${e(q)}`)}),gi=null,Hs||tf()},gi.start(),window.setTimeout(()=>{gi?.state==="recording"&&gi.stop()},4e3)}async function Ev(){if(e(G)){if(!navigator.mediaDevices?.getUserMedia||typeof MediaRecorder>"u"){f(q,"Live microphone transcription is not supported by this browser.");return}Nl(),f(Ao,!0),Hs=!1,an=0;try{await zv("streaming"),Yn=await navigator.mediaDevices.getUserMedia({audio:!0}),f(q,"Listening… speech is transcribed in four-second native streaming requests."),tf()}catch(r){f(q,r instanceof Error?r.message:String(r)),of()}}}function of(){Hs=!0,gi?.state==="recording"&&gi.stop(),Yn?.getTracks().forEach(r=>r.stop()),Yn=null,f(Ao,!1),f(q,an?`Live transcription stopped after ${an} chunks.`:"Live transcription stopped.")}async function nf(){if(e(ze))return;if(!e(x)){f(q,"Choose an installed model before running a request."),f(ye,e(q)),f(Fe,"");return}if(!e(a)&&e(ce)===!1){f(q,`${e(y).display_name} is not downloaded. Install a model package from the Models tab first.`),f(ye,e(q)),f(Fe,"");return}Nl(),f(ze,!0),Mo=new AbortController;const r=performance.now();f(ye,""),f(Fe,""),f(q,e(u)("status.runningTask",{task:es(e(y).task)})),Ve(e(q));try{const c=lv(e(Ml));if(e(w)&&!e(Le))throw new un(`${e(y).display_name_en||e(y).display_name} requires a reference voice.`);if(e(S)&&!e(Yt).trim())throw new un("Qwen3-TTS Base voice cloning requires a reference transcript. Choose a matching .txt file or enter the transcript.");await jv();const v=Ku(),$=e(d)?await Wu(e(Uo)):void 0,z=e(m)?await Wu(e(Le)):void 0;if(["tts","clon","vdes"].includes(e(y).task)){if(!e(mt).trim())throw new un("Enter text to generate.");const O=e(Za)&&e(y).task!=="vdes"?Ng(e(mt),Math.max(40,e(Xn))):[e(mt)],le=[],Y=[];for(let st=0;st<O.length;st+=1){f(q,O.length>1?`Synthesizing chunk ${st+1} of ${O.length}…`:e(u)("status.runningTask",{task:es(e(y).task)}));const Oe={model:e(y).id,input:O[st],language:e(lo),seed:dv(c,st),options:v};Pu(e(y))&&(Oe.max_tokens=e(Ps)),z?Oe.voice_ref=z:e(Xe)?Oe.voice=Gu[e(Xe)]||e(Xe):e(y).default_voice&&(Oe.voice=e(y).default_voice),e(Yt).trim()&&Lu(e(y),"reference_text")&&(Oe.reference_text=e(Yt)),e(y).task==="vdes"&&e(Ka).trim()&&(Oe.instructions=e(Ka));const xt=await U_(Oe,Mo.signal);le.push(xt.blob),Y.push({chunk:st+1,characters:O[st].length,wall_ms:xt.wallMs,rtf:xt.rtf})}const Be=await y_(le);f(kt,[{id:O.length>1?"merged":"output",url:URL.createObjectURL(Be)}]),f(Kn,JSON.stringify({seed:c,chunks:O.length,characters:e(mt).length,chunk_budget:e(Xn),timings:Y},null,2))}else if(e(y).task==="asr"){if(!$)throw new un("Choose an audio file.");const O=await lu({model:e(y).id,audio:$,language:e(lo),text:e(Wn),options:v},Mo.signal);f(nn,String(O.text||"")),f(Kn,JSON.stringify(O,null,2))}else{if(e(l)&&!$)throw new un("Choose a source audio file.");const O={options:v};["gen","s2s","align"].includes(e(y).task)&&e(mt).trim()&&(O.text=e(mt)),["gen","s2s","align"].includes(e(y).task)&&e(lo).trim()&&(O.language=e(lo)),e(y).task==="gen"?(e(Xa).trim()&&(O.lyrics=e(Xa)),O.duration_seconds=e(zo),O.seed=c,O.max_tokens=e(Ps)):e(y).task==="s2s"&&(O.seed=c,O.max_tokens=e(Ps)),$&&(O.audio=$),z&&(O.voice_ref=z),e(Yt).trim()&&Lu(e(y),"reference_text")&&(O.reference_text=e(Yt));const le=await M_({model:e(y).id,request:O},Mo.signal);typeof le.audio=="string"&&f(kt,[{id:"output",url:du(le.audio)}]),Array.isArray(le.named_audio_outputs)&&f(kt,le.named_audio_outputs.filter(Y=>typeof Y?.id=="string"&&typeof Y?.audio=="string").map(Y=>({id:Y.id,url:du(Y.audio)}))),Array.isArray(le.artifacts)&&f(on,le.artifacts.filter(Y=>typeof Y?.id=="string"&&typeof Y?.payload=="string").map(Y=>({id:Y.id,extension:Y.meta?.extension||(Y.meta?.format==="midi"?"mid":"bin"),url:`data:${Y.meta?.mime||"application/octet-stream"};base64,${Y.payload}`}))),f(nn,typeof le.text=="string"?le.text:""),f(Kn,JSON.stringify(le,(Y,Be)=>(Y==="audio"||Y==="payload")&&typeof Be=="string"?`<base64 data: ${Be.length} chars>`:Be,2))}const V=((performance.now()-r)/1e3).toFixed(2);f(ye,""),f(Fe,""),f(q,e(u)("status.completeIn",{seconds:V})),Ve(e(q))}catch(c){c?.name==="AbortError"?(f(q,"Cancelled."),f(ye,""),f(Fe,"")):(f(q,c instanceof Error?c.message:String(c)),f(ye,c instanceof un?e(q):""),f(Fe,c instanceof un?"":e(q)),Ve(`Request failed: ${e(q)}`))}finally{f(ze,!1),Mo=null}}function Bv(){Mo?.abort()}function Dv(r){if(r.key==="Escape"&&e(rn)){f(rn,!1);return}(r.ctrlKey||r.metaKey)&&r.key==="Enter"&&!e(ze)&&(r.preventDefault(),nf())}async function Xs(){if(e(R)?.ui_management)try{const r=await q_(),c=Object.fromEntries(r.map(z=>{const V=e(Se)[z.id];return[z.id,{...z,total_bytes:z.total_bytes||V?.total_bytes||0}]}));f(Se,{...e(Se),...c});let v=!1;for(const z of Tt){const V=Vu(z,e(Se)).filter(le=>le.state==="complete");for(const le of V){const Y=e(fe)[le.id];Y&&!Y.installed&&f(fe,{...e(fe),[le.id]:{...Y,installed:!0}}),le.finished_at_ms>(tr[le.id]||0)&&(tr={...tr,[le.id]:le.finished_at_ms},v=!0)}V.length>0&&z.id===e(x)&&await mn()}v&&(f(At,"idle"),await fn());const $=Object.values(e(Se)).some(z=>z.state==="queued"||z.state==="running"||z.state==="cancelling");$&&Nt===null?Nt=window.setInterval(Xs,1500):!$&&Nt!==null&&(window.clearInterval(Nt),Nt=null)}catch(r){Ve(`Installer status unavailable: ${r instanceof Error?r.message:r}`)}}async function sf(r,c,v=!1){if(e(fe)[c.id]?.installed&&!v)return;const $=e(Se)[c.id];if($&&["queued","running","cancelling"].includes($.state))return;const z=e(fe)[c.id]?.size_bytes,V=v?"Update":"Download";if(!window.confirm(`${V} ${r.display_name} ${c.label}${z?` (${Js(z)})`:""}?`))return;Pl(r,c),f(q,`Starting ${c.label} installation for ${r.display_name}...`);const le=e(fe)[c.id]?.size_bytes||0;f(Se,{...e(Se),[c.id]:{id:c.id,state:"queued",message:"Sending installation request…",exit_code:-1,downloaded_bytes:0,total_bytes:le,progress_percent:0,started_at_ms:0,finished_at_ms:0}});try{Nt===null&&(Nt=window.setInterval(Xs,1e3));const Y=await $_({id:c.id,overwrite:v});f(Se,{...e(Se),[Y.id]:{...Y,total_bytes:Y.total_bytes||le}}),await Xs(),f(q,`${r.display_name} ${c.label} installation is running in the background.`),Ve(e(q))}catch(Y){f(q,Y instanceof Error?Y.message:String(Y)),f(Se,{...e(Se),[c.id]:{id:c.id,state:"failed",message:e(q),exit_code:-1,downloaded_bytes:0,total_bytes:0,progress_percent:-1,started_at_ms:0,finished_at_ms:Date.now()}}),Ve(`Installer failed to start: ${e(q)}`)}}function Vv(r,c){if(e(fe)[c.id]?.installed){Pl(r,c),f(q,e(u)("status.packageAvailable",{model:r.display_name,format:c.label})),Ve(e(q));return}sf(r,c)}async function Iv(r,c){if(["queued","running","cancelling"].includes(c.state)){f(q,`Stopping ${r.display_name} download...`);try{const v=await S_(c.id);f(Se,{...e(Se),[v.id]:v}),Nt===null&&(Nt=window.setInterval(Xs,500)),f(q,`${r.display_name} download is stopping. Staging files will be removed automatically.`),Ve(e(q))}catch(v){f(q,v instanceof Error?v.message:String(v)),f(Fe,e(q)),f(Se,{...e(Se),[c.id]:{...c,state:"failed",message:e(q),finished_at_ms:Date.now()}})}}}async function Pv(r,c){if(!["queued","running","cancelling"].includes(c.state)){f(q,`Cleaning partial ${r.display_name} download...`);try{const v=await G_(c.id);f(Se,{...e(Se),[c.id]:{...c,state:"cleaned",message:v.message,downloaded_bytes:0,total_bytes:0,progress_percent:100,finished_at_ms:Date.now()}}),f(q,v.message),Ve(e(q))}catch(v){f(q,v instanceof Error?v.message:String(v)),f(Fe,e(q)),f(Se,{...e(Se),[c.id]:{...c,state:"failed",message:e(q),finished_at_ms:Date.now()}})}}}async function Lv(r,c){if(!(!e(fe)[c.id]?.installed||!window.confirm(`Delete ${r.display_name} ${c.label}?
 
@@ -109,7 +109,7 @@ <h1>`+i+`</h1>
 `},Symbol.toStringTag,{value:"Module"}));return ua.app=iu,ua.start=u_,Object.defineProperty(ua,Symbol.toStringTag,{value:"Module"}),ua})({});
 
 
-					__sveltekit_1effenk.app.start(element);
+					__sveltekit_1so0o7x.app.start(element);
 				}
 			</script>
 		</div>
diff --git a/webui/native/src/lib/catalog.ts b/webui/native/src/lib/catalog.ts
index f4258a6d..8484cc6e 100644
--- a/webui/native/src/lib/catalog.ts
+++ b/webui/native/src/lib/catalog.ts
@@ -106,13 +106,15 @@ function relatedPackages(entry: CatalogEntry): PackageEntry[] {
 
 function packageLabel(entry: PackageEntry): string {
   if (entry.family === 'ace_step') {
-    const variant = entry.id.includes('_base_') ? 'Base' : entry.id.includes('_turbo_') ? 'Turbo' : '';
     const precision = entry.precision === 'bf16'
       ? 'BF16'
       : ['q8_0', 'q8'].includes(entry.precision)
         ? 'Q8'
         : entry.precision.toUpperCase();
-    return variant ? `${variant} ${precision}` : `GGUF ${precision}`;
+    if (entry.id.includes('_xl_turbo_')) return `GGUF Turbo XL ${precision}`;
+    if (entry.id.includes('_xl_sft_')) return `GGUF Turbo XL SFT ${precision}`;
+    if (entry.id.includes('_turbo_')) return `GGUF Turbo ${precision}`;
+    return `GGUF ${precision}`;
   }
   if (entry.format === 'safetensors') return 'Safetensors';
   if (entry.id.includes('int8_dit')) return 'GGUF Q4 ConvRot';