kohya-ss / kohya-ss/sd-scripts
ControlNet-LLLite vs. ControlNet-XS
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- Python
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Description
When recently I saw [ControlNet-XS](https://github.com/vislearn/ControlNet-XS) and wanted to train a customized ControlNet-XS, I found your ControlNet-LLLite, which is awesome!
I wonder if your work (both of you) share some similarities? I'm not implying who copies who. That's not my concern. What interests me is the properties of ControlNet-XS that were discussed in their paper. They claim ControlNet-XS has better training efficiency, better data efficiency and less impact on generation quality, less bias from training data from ControlNet. And I think those claims are very likely to be valid, which is awesome!
If your works share a great amount of similarities, I guess ControlNet-LLLite will also have these awesome properties. While ControlNet-XS does not yet provide training code, ControlNet-LLLite has reference training code and better integration with ComfyUI and WebUI. ControlNet-LLLite is more technical while ControlNet-XS has more analysis, which makes them complement well.
So I open this, and I hope you can give me some insights. Thanks for the awesome work, as always!
Contributor guide
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Research direction
The issue compares ControlNet-LLLite with ControlNet-XS and asks about training efficiency, data efficiency, generation quality, and training-data bias. No files, tests, or entry points are mentioned; start with the linked ControlNet-XS project and its paper, then determine whether maintainers want a documented comparison. Done would be a maintainer-backed answer or a clearly scoped follow-up.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100