lllyasviel / lllyasviel/ControlNet
Binary image as control
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- Dominant language
- Python
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Description
Awesome project @lllyasviel!
I have a question. I have a dataset of real ID card images (with some text written on them). How should the model perform if I use the binarized image as a control? I did train a model but did not get satisfactory results. Even though the control image (binarized) had the text part clearly outlined, the sampled image's text was blurry and gibberish. Your input would be appreciated.
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
Start by reviewing the binarized control-image and training setup described in the issue, then inspect the repository's ControlNet training and sampling entry points. No file or test is named, so the expected behavior and a completion criterion would need to be established with the maintainers before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100