runtime error
Space not ready. Reason: Error, exitCode: 1, message: None
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You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_instruct_pix2pix.StableDiffusionInstructPix2PixPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /home/user/app/app.py:14 in <module> │
│ │
│ 11 #Loading from Diffusers Library │
│ 12 model_id = "timbrooks/instruct-pix2pix" │
│ 13 pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id │
│ ❱ 14 pipe.to("cuda") │
│ 15 #pipe.enable_attention_slicing() │
│ 16 pipe.enable_xformers_memory_efficient_attention() │
│ 17 pipe.unet.to(memory_format=torch.channels_last) │
│ │
│ /home/user/.local/lib/python3.8/site-packages/diffusers/pipelines/pipeline_u │
│ tils.py:272 in to │
│ │
│ 269 │ │ │ │ │ │ " support for`float16` operations on this devi │
│ 270 │ │ │ │ │ │ " `torch_dtype=torch.float16` argument, or use │
│ 271 │ │ │ │ │ ) │
│ ❱ 272 │ │ │ │ module.to(torch_device) │
│ 273 │ │ return self │
│ 274 │ │
│ 275 │ @property │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:989 │
│ in to │
│ │
│ 986 │ │ │ │ │ │ │ non_blocking, memory_format=convert_to_fo │
│ 987 │ │ │ return t.to(device, dtype if t.is_floating_point() or t.i │
│ 988 │ │ │
│ ❱ 989 │ │ return self._apply(convert) │
│ 990 │ │
│ 991 │ def register_backward_hook( │
│ 992 │ │ self, hook: Callable[['Module', _grad_t, _grad_t], Union[None │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:641 │
│ in _apply │
│ │
│ 638 │ │
│ 639 │ def _apply(self, fn): │
│ 640 │ │ for module in self.children(): │
│ ❱ 641 │ │ │ module._apply(fn) │
│ 642 │ │ │
│ 643 │ │ def compute_should_use_set_data(tensor, tensor_applied): │
│ 644 │ │ │ if torch._has_compatible_shallow_copy_type(tensor, tensor │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:641 │
│ in _apply │
│ │
│ 638 │ │
│ 639 │ def _apply(self, fn): │
│ 640 │ │ for module in self.children(): │
│ ❱ 641 │ │ │ module._apply(fn) │
│ 642 │ │ │
│ 643 │ │ def compute_should_use_set_data(tensor, tensor_applied): │
│ 644 │ │ │ if torch._has_compatible_shallow_copy_type(tensor, tensor │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:664 │
│ in _apply │
│ │
│ 661 │ │ │ # track autograd history of `param_applied`, so we have t │
│ 662 │ │ │ # `with torch.no_grad():` │
│ 663 │ │ │ with torch.no_grad(): │
│ ❱ 664 │ │ │ │ param_applied = fn(param) │
│ 665 │ │ │ should_use_set_data = compute_should_use_set_data(param, │
│ 666 │ │ │ if should_use_set_data: │
│ 667 │ │ │ │ param.data = param_applied │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:987 │
│ in convert │
│ │
│ 984 │ │ │ if convert_to_format is not None and t.dim() in (4, 5): │
│ 985 │ │ │ │ return t.to(device, dtype if t.is_floating_point() or │
│ 986 │ │ │ │ │ │ │ non_blocking, memory_format=convert_to_fo │
│ ❱ 987 │ │ │ return t.to(device, dtype if t.is_floating_point() or t.i │
│ 988 │ │ │
│ 989 │ │ return self._apply(convert) │
│ 990 │
│ │
│ /home/user/.local/lib/python3.8/site-packages/torch/cuda/__init__.py:229 in │
│ _lazy_init │
│ │
│ 226 │ │ # are found or any other error occurs │
│ 227 │ │ if 'CUDA_MODULE_LOADING' not in os.environ: │
│ 228 │ │ │ os.environ['CUDA_MODULE_LOADING'] = 'LAZY' │
│ ❱ 229 │ │ torch._C._cuda_init() │
│ 230 │ │ # Some of the queued calls may reentrantly call _lazy_init(); │
│ 231 │ │ # we need to just return without initializing in that case. │
│ 232 │ │ # However, we must not let any *other* threads in! │
╰──────────────────────────────────────────────────────────────────────────────╯
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