microsoft / microsoft/TRELLIS.2
VRAM usage is unstable, peaking at over 63GB+.
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- Dominant language
- Python
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Description
I launched the service using app.py and performed inference with Gradio's default settings, yet the VRAM usage unexpectedly peaked at over 63GB+.
The image used is:
https://b2bfiles1.gigab2b.cn/image/wkseller/28252/e80df190d17d9fe469b6ea2f8e1e9bef.png?x-cc=20&x-cu=100623&x-ct=1764230400&x-cs=aee8339598781bbc86655d576f09b0f8
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the inference through app.py with Gradio's default settings and the linked image. Measure VRAM throughout the run, then trace the cause of the peak above 63GB and verify that the same workload no longer produces unexpectedly high or unstable usage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100