frankchieng / comfyui_aniportrait Goto Github PK
View Code? Open in Web Editor NEWUnofficial implementation of AniPortrait custom node in ComfyUI
Unofficial implementation of AniPortrait custom node in ComfyUI
I test this node,the effect is good than I expect.I'm looking forward to support but only 512*512 not also other resolution ratio
Error occurred when executing AniPortraitLoader:
Error no file named config.json found in directory E:\AI\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-AniPortrait\pretrained_model\StableDiffusion V1.5.
File "E:\AI\ComfyUI-aki-v1.1\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "E:\AI\ComfyUI-aki-v1.1\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "E:\AI\ComfyUI-aki-v1.1\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "E:\AI\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-AniPortrait\nodes.py", line 120, in run
reference_unet = UNet2DConditionModel.from_pretrained(
File "E:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\huggingface_hub\utils_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "E:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\diffusers\models\modeling_utils.py", line 567, in from_pretrained
config, unused_kwargs, commit_hash = cls.load_config(
File "E:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\huggingface_hub\utils_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "E:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\diffusers\configuration_utils.py", line 374, in load_config
raise EnvironmentError(
Would it be better to use the newly released official audio2pose model for AniPortrait?
大佬,我顺利的运行完工作流,看到保存的是视频带有原图片和面部网络,请问如果只保存生成后的视频?
Unfortunately, running any of the example workflows I get the following error:
Error occurred when executing AniPortrait_Pose_Gen_Video:
Error(s) in loading state_dict for CLIPVisionModelWithProjection:
size mismatch for vision_model.embeddings.class_embedding: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for vision_model.embeddings.patch_embedding.weight: copying a param with shape torch.Size([1024, 3, 14, 14]) from checkpoint, the shape in current model is torch.Size([768, 3, 32, 32]).
size mismatch for vision_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([257, 1024]) from checkpoint, the shape in current model is torch.Size([50, 768]).
size mismatch for vision_model.pre_layrnorm.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for vision_model.pre_layrnorm.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
[...]
You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method.
File "E:\COMFY\ComfyUI-robe\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\COMFY\ComfyUI-robe\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\COMFY\ComfyUI-robe\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\COMFY\ComfyUI-robe\custom_nodes\ComfyUI_Aniportrait\nodes.py", line 169, in pose_generate_video
image_enc = CLIPVisionModelWithProjection.from_pretrained(image_encoder_path).to(dtype=weight_dtype, device=device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\xxx\.conda\envs\comfy\Lib\site-packages\transformers\modeling_utils.py", line 3677, in from_pretrained
) = cls._load_pretrained_model(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\xxx\.conda\envs\comfy\Lib\site-packages\transformers\modeling_utils.py", line 4155, in _load_pretrained_model
raise RuntimeError(f"Error(s) in loading state_dict for {model.__class__.__name__}:\n\t{error_msg}")
Is this related to my torch or transformers version?
I'm running transformers 4.40.2 and torch 2.3.0+cu118
Can you please help me to fix it?
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