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Download preprocessing/midas/base_model.py from VIDraft/Wan2GP: direct link, hf CLI and curl.
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- Download file 478 Bytes
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https://huggingface.co/spaces/VIDraft/Wan2GP/resolve/main/preprocessing/midas/base_model.py
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hf download hf://spaces/VIDraft/Wan2GP/preprocessing/midas/base_model.py
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curl -L -o base_model.py https://huggingface.co/spaces/VIDraft/Wan2GP/resolve/main/preprocessing/midas/base_model.py
478 Bytes
| # -*- coding: utf-8 -*- | |
| # Copyright (c) Alibaba, Inc. and its affiliates. | |
| import torch | |
| class BaseModel(torch.nn.Module): | |
| def load(self, path): | |
| """Load model from file. | |
| Args: | |
| path (str): file path | |
| """ | |
| parameters = torch.load(path, map_location=torch.device('cpu'), weights_only=True) | |
| if 'optimizer' in parameters: | |
| parameters = parameters['model'] | |
| self.load_state_dict(parameters) | |