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我打印了加载denoising_unet权重的信息
missing_keys, unexpected_keys = denoising_unet.load_state_dict( torch.load(config.denoising_unet_path, map_location="cpu"), strict=False ) print(f"Loading {config.denoising_unet_path}") print(f"missing_keys: {missing_keys}") print(f"unexpected_keys: {unexpected_keys}")
输出了很多missing_keys
Loading ./pretrained_weights/denoising_unet.pth missing_keys: ['down_blocks.0.motion_modules.0.temporal_transformer.norm.weight', 'down_blocks.0.motion_modules.0.temporal_transformer.norm.bias', 'down_blocks.0.motion_modules.0.temporal_transformer.proj_in.weight', 'down_blocks.0.motion_modules.0.temporal_transformer.proj_in.bias',
这是正常的吗
The text was updated successfully, but these errors were encountered:
按说明配置就没关系
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我打印了加载denoising_unet权重的信息
输出了很多missing_keys
这是正常的吗
The text was updated successfully, but these errors were encountered: