SKILL.md
Qwen-Image-Edit Skill
AI-powered image editing via tools/image_edit.py. The model depends on the deployment:
| Deployment | Model | License | Defaults | Max inputs |
|---|---|---|---|---|
--cloud modal (default) |
Qwen-Image-Edit-2511 | Apache-2.0, commercial OK | 8 steps, guidance 1.0 | 3 images |
--cloud modal, app deployed with IMAGE_EDIT_MODEL=qwen-image-2.1 |
Qwen-Image-2.1 (2026-09, unified gen+edit, 7B DiT, RGBA) | Qwen Research License -- non-commercial ("research or evaluation purposes only") | 40 steps, guidance 1.0 (no CFG) | 10 images |
--cloud runpod |
Qwen-Image-Edit-2511 + Lightning LoRA | Apache-2.0, commercial OK | 8 steps, guidance 1.0 | 3 images |
The tool prints Model: and Steps: after each edit, so you can tell which model the Modal app
runs and how many steps it took. Without --steps, each model runs its own default above.
Opt in with IMAGE_EDIT_MODEL=qwen-image-2.1 uv run modal deploy docker/modal-image-edit/app.py;
deploy again without it to switch back.
Status: Evolving - learnings being captured as we experiment. The prompt
patterns and parameter findings in examples.md / parameters.md were measured
on 2511; re-check them on 2.1 before relying on the exact numbers.