kohya-ss / kohya-ss/sd-scripts
[Feature Request] Implement LECO to train LoRA for erasing concepts from diffusion models
- Dominant language
- Python
- Stars
- 7.2k
- Forks
- 1.2k
- Avg merge
- 11m
- Merged PRs (30d)
- 2
Description
See https://github.com/p1atdev/LECO, based off https://github.com/rohitgandikota/erasing/tree/main.
This serves to train "sliders"-like LoRA, and I think it would be great addition to the sd-scripts repo.
Contributor guide
No contributing guide indexed for this repository
Research direction
Read the LECO repository and the referenced erasing implementation to understand the proposed training approach and its integration requirements. Then inspect sd-scripts to identify an appropriate entry point for adding LECO-based LoRA training. Done means the feature is integrated into sd-scripts with a defined training workflow and validation against the referenced behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100