generate mesh error :Segmentation fault
when i upload the image and start generate,the error occur:
/home/zhouhui/.conda/envs/unique3d/lib/python3.11/site-packages/huggingface_hub/file_download.py:1142: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
text_encoder/model.safetensors not found
Loading pipeline components...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:03<00:00, 1.84it/s]
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 5079.90it/s]
Running on local URL: http://0.0.0.0:7860
To create a public link, set share=True in launch().
Segmentation fault (core dumped)
then Process Interruption