runtime error

.2MB/s] diffusion_pytorch_model.fp16.safetensors: 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 147M/167M [00:05<00:00, 25.5MB/s] diffusion_pytorch_model.fp16.safetensors: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157M/167M [00:07<00:00, 15.8MB/s] diffusion_pytorch_model.fp16.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 167M/167M [00:07<00:00, 14.8MB/s] diffusion_pytorch_model.fp16.safetensors: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 167M/167M [00:07<00:00, 21.0MB/s] The config attributes {'force_upcast': True} were passed to AutoencoderKL, but are not expected and will be ignored. Please verify your config.json configuration file. Traceback (most recent call last): File "/home/user/app/app.py", line 514, in <module> main() File "/home/user/app/app.py", line 64, in main model = RegionDiffusionXL() File "/home/user/app/models/region_diffusion_xl.py", line 106, in __init__ self.vae = AutoencoderKL.from_pretrained(load_path, subfolder="vae", torch_dtype=torch.float16, use_safetensors=True, variant="fp16").to(device) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 989, in to return self._apply(convert) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 641, in _apply module._apply(fn) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 641, in _apply module._apply(fn) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 664, in _apply param_applied = fn(param) File "/home/user/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 987, 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 229, 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:

Fetching error logs...