runtime error
Exit code: 1. Reason: 14_pretrain.pth" to /home/user/.cache/torch/hub/checkpoints/dinov2_vitl14_pretrain.pth 0%| | 0.00/1.13G [00:00<?, ?B/s][A 30%|███ | 352M/1.13G [00:01<00:02, 369MB/s][A 61%|██████ | 704M/1.13G [00:02<00:01, 366MB/s][A 94%|█████████▍| 1.06G/1.13G [00:03<00:00, 383MB/s][A 100%|██████████| 1.13G/1.13G [00:03<00:00, 381MB/s] Keyword arguments {'trust_remote_code': True} are not expected by YOSONormalsPipeline and will be ignored. Loading pipeline components...: 0%| | 0/6 [00:00<?, ?it/s][A Loading pipeline components...: 17%|█▋ | 1/6 [00:01<00:05, 1.15s/it][A Loading pipeline components...: 67%|██████▋ | 4/6 [00:03<00:01, 1.35it/s][AThe config attributes {'shift_factor': None, 'use_post_quant_conv': True, 'use_quant_conv': True} were passed to AutoencoderKL, but are not expected and will be ignored. Please verify your config.json configuration file. Loading pipeline components...: 100%|██████████| 6/6 [00:03<00:00, 1.72it/s] You have disabled the safety checker for <class 'stablenormal.pipeline_yoso_normal.YOSONormalsPipeline'> 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 416, in <module> main() File "/home/user/app/app.py", line 410, in main yoso_pipe = YosoNormal() File "/home/user/app/app.py", line 171, in __init__ self.model.x_start_pipeline = x_start_pipeline NameError: name 'x_start_pipeline' is not defined
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