runtime error

Exit code: 1. Reason: .0M/335M [00:01<00:07, 39.9MB/s] diffusion_pytorch_model.safetensors: 100%|█████████▉| 335M/335M [00:01<00:00, 269MB/s] /home/user/.pyenv/versions/3.10.11/lib/python3.10/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn( You have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet.StableDiffusionControlNetPipeline'> 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): File "/home/user/app/app.py", line 17, in <module> model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny") File "/home/user/app/model.py", line 46, in __init__ self.pipe = self.load_pipe(base_model_id, task_name) File "/home/user/app/model.py", line 62, in load_pipe pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config) File "/home/user/.pyenv/versions/3.10.11/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 232, in from_config model = cls(**init_dict) File "/home/user/.pyenv/versions/3.10.11/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 614, in inner_init init(self, *args, **init_kwargs) File "/home/user/.pyenv/versions/3.10.11/lib/python3.10/site-packages/diffusers/schedulers/scheduling_unipc_multistep.py", line 193, in __init__ self.timesteps = torch.from_numpy(timesteps) RuntimeError: Numpy is not available

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