lllyasviel / lllyasviel/ControlNet
Small-Scale Training
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- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
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Description
Hello! I have 12 GB GPU and I want to train the network. But I am getting OOM. How to perform small scale training as mentioned in the paper
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
The issue names no file, test, or entry point. Start by comparing the paper's small-scale training description with the repository's documented training workflow and the reported 12 GB GPU OOM case. Done means providing a verified procedure or documentation update for small-scale training.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100