lllyasviel / lllyasviel/ControlNet
How big should a controlnet dataset be for training?
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Description
The training docs use a 50,000 base image dataset zipped.
The example involves something simple as circles, in a real training setting you might want to create a control for more complex things such as noses or eyes.
It would take months if not years if i tried to manually draw noses outlines for 50,000 images to use to train, without mention find 50,000 good photos.
Just how big should the average dataset be for a non-example controlnet training, realistically?
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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
Start with the training docs and the 50,000-image zipped base-dataset example mentioned in the issue. Compare that simple circles example with non-example controls such as noses or eyes, then define realistic dataset-size guidance for ordinary ControlNet training and document the result.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100