runtime error

Exit code: 1. Reason: usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with: ``` pip install accelerate ``` . Loading pipeline components...: 0%| | 0/6 [00:00<?, ?it/s] Loading pipeline components...: 17%|█▋ | 1/6 [00:23<01:56, 23.33s/it]/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884 warnings.warn( Loading pipeline components...: 100%|██████████| 6/6 [00:28<00:00, 3.77s/it] Loading pipeline components...: 100%|██████████| 6/6 [00:28<00:00, 4.75s/it] Traceback (most recent call last): File "/home/user/app/app.py", line 8, in <module> pipe.to("cuda") # Si estás usando GPU File "/usr/local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 431, in to module.to(device, dtype) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1174, in to return self._apply(convert) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 780, in _apply module._apply(fn) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 805, in _apply param_applied = fn(param) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in convert return t.to( File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 314, 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

Container logs: