lllyasviel / lllyasviel/FramePack
Is there any way to re-balance the memory use?
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- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
With 32GB RAM and 16GB VRAM the VRAM usage peaks at 50% max, but the regular memory is 95% full. Is there any way to keep some of the models in VRAM instead?
Contributor guide
No contributing guide indexed for this repository
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 reading issue #74 and reproducing the reported memory balance with 32GB RAM and 16GB VRAM. Investigate how FramePack currently places models between regular memory and VRAM; done means providing a documented, working way to keep more model data in VRAM without exceeding available memory.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100