When Hunyuan3D-2 is running abnormally, the following steps are recommended for diagnosis:
- Hardware check::
- Confirm GPU driver version is CUDA compatible (nvidia-smi view)
- Check for video memory depletion (20% buffer is recommended)
- Environmental validation::
- Run minimal_demo.py to test the base functionality
- Check the versions of the components (torch==2.3.0+cu117 etc.)
- parameterization::
- Decrease num_inference_steps value (can be set to 15 for fast version)
- Try smaller resolution inputs (512 x 512)
- Disable flash-attention test
- error analysis::
- Shape generation failed: check if the input image contains a clear subject
- Texture exception: reinstall custom_rasterizer component
Common solutions include updating the graphics card driver, creating a clean conda environment, or switching to the Hunyuan3D-2mini version. It is officially recommended to submit a full error log (with CUDA version, video memory usage, and full error report) via GitHub Issues, and the team usually responds within 48 hours.
This answer comes from the articleHunyuan3D-2: Tencent open source high-resolution 3D model generation toolThe
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