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Keep getting error trying to convert using python convert_original_stable_diffusion_to_diffusers.py #21
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adamwberck
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which custom model are you using? |
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Trying to use a custom model but keep getting an error.
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.
Is there a way to set it to use the cpu? CUDA as far as I understand needs a Nvida card,
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