runtime error

 diffusion_pytorch_model.safetensors: 71%|███████ | 2.46G/3.46G [00:23<00:09, 108MB/s] diffusion_pytorch_model.safetensors: 85%|████████▍ | 2.94G/3.46G [00:24<00:03, 145MB/s] diffusion_pytorch_model.safetensors: 95%|█████████▍| 3.27G/3.46G [00:26<00:01, 166MB/s] diffusion_pytorch_model.safetensors: 100%|█████████▉| 3.46G/3.46G [00:26<00:00, 133MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 12, in <module> from model import Model, generate_basic, generate_advanced File "/home/shitaot/MVDiffusion/model.py", line 901, in <module> File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1142, in persistent_load typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location)) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/home/user/.local/lib/python3.9/site-packages/torch/serialization.py", line 166, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' 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.

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