A practical prompt cookbook and synthetic showcase for AI clothes swap, virtual try-on, outfit generation, and clothes color editing.
Use it when you want to change clothing in a photo while keeping the person, face, pose, lighting, and background stable. The examples here are written for AIClothSwap and can also help when testing other image-editing tools.
- 50 AI clothes swap prompts - copy-ready prompts for one-garment swaps, full outfits, ecommerce shots, color changes, creator content, and repair passes.
- Synthetic before/after showcase - KIE GPT Image 2 examples with exact generation prompts and task IDs.
- Failure fixes - prompt repairs for face drift, changed backgrounds, painted-looking clothes, broken hands, and inaccurate garment shape.
- Benchmark rubric - a simple way to score AI clothes changer outputs.
Try the product: AI clothes changer
Most AI clothes changer prompts fail for the same reason: they ask for a new outfit but do not protect the original person or scene. A useful prompt separates the edit from the lock list.
Replace [current garment] with [new garment, color, material, and style].
Keep [face, expression, body shape, pose, hands, lighting, camera angle, and background] unchanged.
Make the result realistic with natural fabric folds, shadows, seams, and fit.
This repository turns that formula into reusable examples:
- prompt patterns you can copy into AIClothSwap or other image tools
- synthetic before/after cases that are safe to show publicly
- failure notes that explain what went wrong and how to fix it
- a lightweight benchmark for comparing output quality
These images were generated with KIE GPT Image 2 as public synthetic examples. See SHOWCASE.md for the full prompt and task provenance for each case.
| Office outfit | Wedding guest | Streetwear |
|---|---|---|
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- AI clothes swap: replace a hoodie, T-shirt, dress, jacket, suit, or full outfit in a photo.
- Virtual try-on: preview clothing on your own photo instead of guessing from a flat product image.
- Outfit generation: combine tops, bottoms, jackets, shoes, hats, bags, and full-look references.
- Clothes color changes: recolor a garment while preserving fabric texture, folds, shadows, and fit.
- Fashion content tests: compare creator thumbnail outfits, ecommerce variants, styling ideas, and campaign looks before creating final assets.
Useful product pages:
- Pick a prompt from PROMPTS.md.
- Replace the garment, color, and material details with your actual target.
- Keep the lock list: face, expression, body shape, pose, hands, lighting, camera angle, and background.
- Run one edit at a time.
- If the output drifts, use FAILURE-FIXES.md instead of rewriting the whole prompt.
- Score the result with BENCHMARK.md if you are comparing tools or model settings.
The examples in this repository are synthetic showcase assets. They are meant for public prompt education, not as claims about a specific real person or garment.
This repository is public documentation for AIClothSwap, not the private production application.