when i run the gradio_ootd.py, it raise error as below:
raise ValueError(
ValueError: Cannot load ../checkpoints/ootd/ootd_dc/checkpoint-36000 because conv_in.weight expected shape tensor(..., device='meta', size=(320, 4, 3, 3)), but got torch.Size([320, 8, 3, 3]). If you want to instead overwrite randomly initialized weights, please make sure to pass both low_cpu_mem_usage=False and ignore_mismatched_sizes=True. For more information, see also: https://github.com/huggingface/diffusers/issues/1619#issuecomment-1345604389 as an example.
i tried to modify the ootd/inference_ootd_dc.py with
when i run the gradio_ootd.py, it raise error as below: raise ValueError( ValueError: Cannot load ../checkpoints/ootd/ootd_dc/checkpoint-36000 because conv_in.weight expected shape tensor(..., device='meta', size=(320, 4, 3, 3)), but got torch.Size([320, 8, 3, 3]). If you want to instead overwrite randomly initialized weights, please make sure to pass both low_cpu_mem_usage=False and ignore_mismatched_sizes=True. For more information, see also: https://github.com/huggingface/diffusers/issues/1619#issuecomment-1345604389 as an example.
i tried to modify the ootd/inference_ootd_dc.py with
then i can run gradio successfully, but the Full-body generation with DC model renders quality is so badly, any clue how i can solve this issue?