When I use the training scripts for sdxl and run log_validation. I meet the following error
Traceback (most recent call last): File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/test_image.py", line 156, in <module> image = pipeline(prompt=prompt, num_inference_steps=steps, guidance_scale=cfg, height=1152, width=864,eta=0.2).images[0] File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py", line 1229, in __call__ latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0] File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/scheduler.py", line 232, in step model_output = self.convert_model_output(model_output, sample=sample) File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/scheduler.py", line 475, in convert_model_output alpha_t, sigma_t = self._sigma_to_alpha_sigma_t(sigma) File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/diffusers/schedulers/scheduling_dpmsolver_singlestep.py", line 464, in _sigma_to_alpha_sigma_t if self.config.use_flow_sigmas: AttributeError: 'FrozenDict' object has no attribute 'use_flow_sigmas'
It seems that the diffusers version is not right?
When I use the training scripts for sdxl and run log_validation. I meet the following error
Traceback (most recent call last): File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/test_image.py", line 156, in <module> image = pipeline(prompt=prompt, num_inference_steps=steps, guidance_scale=cfg, height=1152, width=864,eta=0.2).images[0] File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py", line 1229, in __call__ latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0] File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/scheduler.py", line 232, in step model_output = self.convert_model_output(model_output, sample=sample) File "/maindata/data/shared/public/songtao.tian/test_code/Target-Driven-Distillation/train/SDXL/scheduler.py", line 475, in convert_model_output alpha_t, sigma_t = self._sigma_to_alpha_sigma_t(sigma) File "/maindata/data/shared/public/songtao.tian/anaconda3/envs/tdd/lib/python3.10/site-packages/diffusers/schedulers/scheduling_dpmsolver_singlestep.py", line 464, in _sigma_to_alpha_sigma_t if self.config.use_flow_sigmas: AttributeError: 'FrozenDict' object has no attribute 'use_flow_sigmas'It seems that the diffusers version is not right?