Below are solutions to common problems:
Installation issues
- CUDA mismatch: Check that the PyTorch version is compatible with the CUDA version of the graphics card driver
- dependence deficit: Run
pip install --upgrade -r requirements.txtUpdate all dependencies
Generating Problems
- Unsatisfactory results: Try to simplify the background and increase the resolution of the input image, we recommend using a clear image of 1024px or more.
- Generation Failure: Check if the image format is supported PNG/JPG, non-transparent backgrounds work better!
- Performance issues: Reduce the mc-resolution parameter value for large images.
Advanced Debugging
The project is licensed under the MIT open source license and developers can:
- Check the README.md documentation of the GitHub project
- Check the issues area for similar problem solutions
- Modify source code to fit specific needs
For complex issues, it is recommended to submit a detailed issue report on the project GitHub page.
This answer comes from the articleTripoSG: Generating high-resolution 3D modeled digital assets from a single imageThe
May not be reproduced without permission:AI productivity tools " What should I do if I encounter installation or generation problems when using TripoSG?
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