lllyasviel / lllyasviel/FramePack
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 28.87 GiB.
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- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
- PR merge metrics
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Description
I have a Tesla P40 with 24GBs of VRAM and for some reason FramePack wants to allocate 28GBs of VRAM. How can I decrease the VRAM usage?
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
No files, tests, or entry points are named. Start by reproducing the reported allocation on a Tesla P40 and trace the FramePack execution path that requests 28.87 GiB; done means the workload runs within the available 24 GB of VRAM without the CUDA out-of-memory error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100