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AI image editing prompting patterns for Qwen-Image-Edit.
Passed 17 of 20 test cases with the skill, and 3 of 20 without it.
and 11 more in the full report
17 fixed3 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 10/19/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Transform drawing.jpg into an anime art style using the image editing tool. Provide the exact CLI command using the standard style option.
| Checked | Without skill | With skill |
|---|---|---|
| Passes --style anime option to tools/image_edit.py | Missed | Passed |
The instructions your model reads when the skill loads.
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.
--guidance 1.0 (default) is how the model is meant
to run. >1 switches on true CFG (blank negative prompt if you pass none) and
doubles the cost of every step.--input is the image being edited ("image 1"); the
rest are references in order ("image 2", ...). Up to 10. Output size follows the
first image's aspect ratio at ~1MP.--input, and say what to change there
(e.g. "Remove the watch inside the red circle")."This is an RGBA image with transparency. <subject>. The image has alpha channel and the background is transparent." -- the result comes back as an RGBA PNG only
when the model actually produced transparency.test cases passed, vs 3 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.