lllyasviel / lllyasviel/FramePack
How to effectively use VRAM
- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
It shows 10 GB once I move the slider to 10 but use only 3+ GB. I want to utilize 7 GB to reduce the inference time.
Tried different value like 5, 7 ,....etc but it's only reducing VRAM usage not increasing.

Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no file, test, or entry point. Start by reproducing the VRAM slider behavior with the reported values and trace how the selected limit affects inference; done means the setting uses the intended VRAM and the inference-time impact is understood or corrected.
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