raise RuntimeError(
RuntimeError: Error(s) in loading state_dict for DINet_five_Ref:
        Missing key(s) in state_dict: "source_in_conv.0.conv.weight", "source_in_conv.0.conv.bias", "source_in_conv.0.norm.weight", "source_in_conv.0.norm.bias", "source_in_conv.0.norm.running_mean", "source_in_conv.0.norm.running_var", "source_in_conv.1.conv.weight", "source_in_conv.1.conv.bias", "source_in_conv.1.norm.weight", "source_in_conv.1.norm.bias", "source_in_conv.1.norm.running_mean", "source_in_conv.1.norm.running_var", "source_in_conv.2.conv.weight", "source_in_conv.2.conv.bias", "source_in_conv.2.norm.weight", "source_in_conv.2.norm.bias", "source_in_conv.2.norm.running_mean", "source_in_conv.2.norm.running_var", "ref_in_conv.0.conv.weight", "ref_in_conv.0.conv.bias", "ref_in_conv.0.norm.weight", "ref_in_conv.0.norm.bias", "ref_in_conv.0.norm.running_mean", "ref_in_conv.0.norm.running_var", "ref_in_conv.1.conv.weight", "ref_in_conv.1.conv.bias", "ref_in_conv.1.norm.weight", "ref_in_conv.1.norm.bias", "ref_in_conv.1.norm.running_mean", "ref_in_conv.1.norm.running_var", "ref_in_conv.2.conv.weight", "ref_in_conv.2.conv.bias", "ref_in_conv.2.norm.weight", "ref_in_conv.2.norm.bias", "ref_in_conv.2.norm.running_mean", "ref_in_conv.2.norm.running_var", "trans_conv.0.conv.weight", "trans_conv.0.conv.bias", "trans_conv.0.norm.weight", "trans_conv.0.norm.bias", "trans_conv.0.norm.running_mean", "trans_conv.0.norm.running_var", "trans_conv.1.conv.weight", "trans_conv.1.conv.bias", "trans_conv.1.norm.weight", "trans_conv.1.norm.bias", "trans_conv.1.norm.running_mean", "trans_conv.1.norm.running_var", "trans_conv.2.conv.w

===

改写CPU

 renderModel.loadModel(f"checkpoint/{model_name}")

:\ai\dh_live>python demo.py d_video/in.mp4 d_video/test.wav d_video/out.mp4 ewlzc
Traceback (most recent call last):
  File "D:\ai\dh_live\demo.py", line 9, in <module>
    from talkingface.audio_model import AudioModel
  File "D:\ai\dh_live\talkingface\audio_model.py", line 7, in <module>
    from model_utils import device
ModuleNotFoundError: No module named 'model_utils'

            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\CyberWin\devpro\Python311\Lib\site-packages\torch\serialization.py", line 600, in _validate_device
    raise RuntimeError(
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

这个错误信息显示，在 D:\ai\dh_live\talkingface\render_model.py 文件的第 39 行出现了 TabError，具体问题是缩进时混用了制表符（tab）和空格，在 Python 里，缩进对于代码结构的定义非常关键，并且必须保持一致。

 warnings.warn(
Traceback (most recent call last):
  File "D:\ai\dh_live\demo.py", line 69, in <module>
    main()
  File "D:\ai\dh_live\demo.py", line 39, in main
    renderModel.reset_charactor(video_path, pkl_path)
  File "D:\ai\dh_live\talkingface\render_model.py", line 48, in reset_charactor
    prepare_video_data(video_path, Path_pkl, ref_img_index_list)
  File "D:\ai\dh_live\talkingface\run_utils.py", line 254, in prepare_video_data
    with open(Path_pkl, "rb") as f:
         ^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 'd_video/in.mp4/keypoint_rotate.pkl'