modelscope / modelscope/DiffSynth-Studio
When will community support LoRA training for OminiControl based on Qwen-Image?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13.1k
- Forks
- 1.3k
- Avg merge
- 13h 12m
- Merged PRs (30d)
- 45
Description
The newly released text-to-image base model Qwen-Image delivers outstanding performance—surpassing flux-dev in quality and supporting commercial use. The community has already enabled SFT and LoRA fine-tuning. However, image editing tasks are not yet supported.
The OminiControl paradigm (GitHub link) enables LoRA training on text-to-image models and extends them for editing tasks.
When will the DiffSynth-Studio community support LoRA training for OminiControl based on Qwen-Image? I believe this would be highly valuable and impactful. @pengqun @Lupino @calmhawk @co63oc @wenmengzhou
Contributor guide
No contributing guide indexed for this repository
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 linked OminiControl project and the repository's existing SFT and LoRA support for Qwen-Image. Define the requirements for image-editing LoRA training based on OminiControl, then verify that the resulting workflow supports the requested training use case.
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