modelscope / modelscope/DiffSynth-Studio
How to train a 4-step or 8-step LoRA for the Qwen-Image-Edit model？
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- Python
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Description
We know that the native Qwen-Image-Edit requires many steps to produce a high-quality image, which is time-consuming. Reducing this to just 4 or 8 steps would significantly cut down on generation time.
My question is: How to train a 4-step or 8-step LoRA specifically for my own tasks? What is the current methodology used to create these few-step models?
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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.
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Research direction
The issue mentions no files, tests, or entry points. Start by locating the Qwen-Image-Edit training and LoRA examples in the repository, then review existing few-step model or distillation guidance; done would be a documented, reproducible methodology for training 4-step or 8-step LoRAs for custom tasks.
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Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100