runtime error

ers/pipeline_utils.py", line 709, in from_pretrained loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs) File "/home/user/.local/lib/python3.10/site-packages/diffusers/modeling_utils.py", line 496, in from_pretrained accelerate.load_checkpoint_and_dispatch(model, model_file, device_map) File "/home/user/.local/lib/python3.10/site-packages/accelerate/big_modeling.py", line 375, in load_checkpoint_and_dispatch load_checkpoint_in_model( File "/home/user/.local/lib/python3.10/site-packages/accelerate/utils/modeling.py", line 677, in load_checkpoint_in_model checkpoint = torch.load(checkpoint_file) File "/home/user/.local/lib/python3.10/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/python3.10/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/home/user/.local/lib/python3.10/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/python3.10/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/home/user/.local/lib/python3.10/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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