ValueError,缺少配置文件。

[DreamLoveBetty]

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This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run gradio deploy from Terminal to deploy to Spaces (https://huggingface.co/spaces) text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden. D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn( D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py:761: FutureWarning: torch_dtype is deprecated and will be removed in version 0.25.0. deprecate("torch_dtype", "0.25.0", "") D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\torch_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.get(instance, owner)() Traceback (most recent call last): File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict output = await app.get_blocks().process_api( File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api result = await self.call_function( File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function prediction = await anyio.to_thread.run_sync( File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\anyio_backends_asyncio.py", line 2134, in run_sync_in_worker_thread return await future File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\anyio_backends_asyncio.py", line 851, in run result = context.run(func, args) File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper response = f(args, **kwargs) File "D:\Program\Moore-AnimateAnyone-for-windows\app.py", line 69, in animate self.denoising_unet = UNet3DConditionModel.from_pretrained_2d( File "D:\Program\Moore-AnimateAnyone-for-windows\src\models\unet_3d.py", line 668, in from_pretrained_2d motion_state_dict = torch.load( File "D:\Program\Moore-AnimateAnyone-for-windows\venv\lib\site-packages\torch\serialization.py", line 808, in load raise pickle.UnpicklingError(UNSAFE_MESSAGE + str(e)) from None _pickle.UnpicklingError: Weights only load failed. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution.Do it only if you get the file from a trusted source. WeightsUnpickler error: PytorchStreamReader failed reading file data/17: invalid header or archive is corrupted

已将所有权重文件放置“pretrained_weights”目录，还是提示缺少配置文件

[sdbds]

应该是某个文件损坏了没下完，看起来是denoising那个。 另外使用自动下载就可以，现在不读取外部VAE，使用sd1-5的