runtime error

usion_pytorch_model.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 4.07G/4.09G [01:53<00:00, 62.4MB/s] diffusion_pytorch_model.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4.09G/4.09G [01:54<00:00, 58.6MB/s] diffusion_pytorch_model.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4.09G/4.09G [01:54<00:00, 35.8MB/s] Fetching 20 files: 30%|β–ˆβ–ˆβ–ˆ | 6/20 [01:55<03:41, 15.85s/it] Fetching 20 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 20/20 [01:55<00:00, 5.77s/it] /home/user/.local/lib/python3.10/site-packages/safetensors/torch.py:98: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() with safe_open(filename, framework="pt", device=device) as f: Traceback (most recent call last): File "/home/user/app/app.py", line 6, in <module> pipe = pipe.to("cuda") File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipeline_utils.py", line 270, in to module.to(torch_device) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in to return self._apply(convert) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 833, in _apply param_applied = fn(param) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1158, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) File "/home/user/.local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 298, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

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