runtime error

model config from [ckpt/cldm_v15.yaml] Traceback (most recent call last): File "/home/user/app/app.py", line 358, in <module> stablevideo.load_canny_model() File "/home/user/app/app.py", line 51, in load_canny_model canny_model.load_state_dict(load_state_dict(canny_model_cfg, location='cuda'), strict=False) File "/home/user/app/cldm/model.py", line 18, in load_state_dict state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location))) 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 1086, in restore_location return default_restore_location(storage, str(map_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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