lllyasviel / lllyasviel/ControlNet
Low VRAM tests (now 8GB ok, begin to solve 6gb)
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- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
- No merged PRs in 30d
Description
RuntimeError: CUDA out of memory. Tried to allocate 58.00 MiB (GPU 0; 8.00 GiB total capacity; 7.14 GiB already allocated; 0 bytes free; 7.26 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
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
The issue names no source file, test, or entry point; it only reports a PyTorch CUDA out-of-memory error on an 8 GB GPU and asks to begin supporting 6 GB. Start by reproducing the reported workload on a 6 GB GPU and read the linked PyTorch memory-management guidance. Done means the relevant workload completes without CUDA out-of-memory errors on 6 GB.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100