runtime error

Exit code: 1. Reason: 724/724 [00:00<00:00, 4.43MB/s] vae/diffusion_pytorch_model.safetensors: 0%| | 0.00/508M [00:00<?, ?B/s] vae/diffusion_pytorch_model.safetensors: 8%|▊ | 38.1M/508M [00:01<00:12, 37.0MB/s] vae/diffusion_pytorch_model.safetensors: 100%|██████████| 508M/508M [00:02<00:00, 270MB/s]  vae/diffusion_pytorch_model.safetensors: 100%|██████████| 508M/508M [00:02<00:00, 236MB/s] Loading pipeline components...: 0%| | 0/6 [00:00<?, ?it/s] Loading pipeline components...: 67%|██████▋ | 4/6 [00:01<00:00, 3.49it/s]`torch_dtype` is deprecated! Use `dtype` instead! Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s] Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 11.21it/s] Loading pipeline components...: 100%|██████████| 6/6 [00:01<00:00, 3.56it/s] NSFW-22-H-e8.safetensors: 0%| | 0.00/614M [00:00<?, ?B/s] NSFW-22-H-e8.safetensors: 13%|█▎ | 77.1M/614M [00:01<00:09, 55.0MB/s] NSFW-22-H-e8.safetensors: 78%|███████▊ | 479M/614M [00:02<00:00, 221MB/s]  NSFW-22-H-e8.safetensors: 100%|██████████| 614M/614M [00:02<00:00, 236MB/s] Waiting for a GPU to become available Traceback (most recent call last): File "/home/user/app/app.py", line 60, in <module> optimize_pipeline_(pipe, File "/home/user/app/optimization.py", line 110, in optimize_pipeline_ cl1, cl2, cp1, cp2 = compile_transformer() File "/usr/local/lib/python3.10/site-packages/spaces/zero/wrappers.py", line 187, in gradio_handler schedule_response = client.schedule(task_id=task_id, request=request, duration=duration_, gpu_size=gpu_size) File "/usr/local/lib/python3.10/site-packages/spaces/zero/client.py", line 200, in schedule raise error("ZeroGPU quota exceeded", message) gradio.exceptions.Error: 'No GPU was available after 60s. Try re-running outside of examples if it happened after clicking one'

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