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Run python test_pasd_sdxl.py
Traceback (most recent call last):
File "D:\PASD\test_pasd_sdxl.py", line 319, in
main(args)
File "D:\PASD\test_pasd_sdxl.py", line 206, in main
pipeline, refiner_pipeline = load_pasd_pipeline(args, accelerator, enable_xformers_memory_efficient_attention)
File "D:\PASD\test_pasd_sdxl.py", line 59, in load_pasd_pipeline
unet = UNet2DConditionModel.from_pretrained(f"{args.pasd_model_path}/unet")
File "D:\python\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\python\lib\site-packages\diffusers\models\modeling_utils.py", line 774, in from_pretrained
accelerate.load_checkpoint_and_dispatch(
TypeError: load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'
#=============================#
And edit gradio_pasd.py to
pretrained_model_path = "checkpoints/stable-diffusion-xl-base-1.0" #stable-diffusion-v1-5"
ckpt_path = "runs/pasd_sdxl/checkpoint-200000" #pasd/checkpoint-100000"
dreambooth_lora_path = "checkpoints/personalized_models/sdxl_lcm_lora.safetensors" #majicmixRealistic_v6.safetensors"
#feature_extractor = CLIPImageProcessor.from_pretrained(f"{pretrained_model_path}/feature_extractor")
Run python gradio_pasd.py
D:\python\lib\site-packages\torchvision\models_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
D:\python\lib\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=None.
warnings.warn(msg)
Traceback (most recent call last):
File "D:\PASD\gradio_pasd.py", line 43, in
unet = UNet2DConditionModel.from_pretrained(ckpt_path, subfolder="unet")
File "D:\python\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\python\lib\site-packages\diffusers\models\modeling_utils.py", line 774, in from_pretrained
accelerate.load_checkpoint_and_dispatch(
TypeError: load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'
The text was updated successfully, but these errors were encountered:
Run python test_pasd_sdxl.py
Traceback (most recent call last):
File "D:\PASD\test_pasd_sdxl.py", line 319, in
main(args)
File "D:\PASD\test_pasd_sdxl.py", line 206, in main
pipeline, refiner_pipeline = load_pasd_pipeline(args, accelerator, enable_xformers_memory_efficient_attention)
File "D:\PASD\test_pasd_sdxl.py", line 59, in load_pasd_pipeline
unet = UNet2DConditionModel.from_pretrained(f"{args.pasd_model_path}/unet")
File "D:\python\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\python\lib\site-packages\diffusers\models\modeling_utils.py", line 774, in from_pretrained
accelerate.load_checkpoint_and_dispatch(
TypeError: load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'
#=============================#
And edit gradio_pasd.py to
pretrained_model_path = "checkpoints/stable-diffusion-xl-base-1.0" #stable-diffusion-v1-5"
ckpt_path = "runs/pasd_sdxl/checkpoint-200000" #pasd/checkpoint-100000"
dreambooth_lora_path = "checkpoints/personalized_models/sdxl_lcm_lora.safetensors" #majicmixRealistic_v6.safetensors"
#feature_extractor = CLIPImageProcessor.from_pretrained(f"{pretrained_model_path}/feature_extractor")
Run python gradio_pasd.py
D:\python\lib\site-packages\torchvision\models_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
D:\python\lib\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or
None
for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passingweights=None
.warnings.warn(msg)
Traceback (most recent call last):
File "D:\PASD\gradio_pasd.py", line 43, in
unet = UNet2DConditionModel.from_pretrained(ckpt_path, subfolder="unet")
File "D:\python\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\python\lib\site-packages\diffusers\models\modeling_utils.py", line 774, in from_pretrained
accelerate.load_checkpoint_and_dispatch(
TypeError: load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'
The text was updated successfully, but these errors were encountered: