Virtual Outfit Try-On
E-commerce fashion display
Virtual Outfit Try-On
E-commerce fashion display
Showcase
Description
Uses the user-uploaded person photo as the sole source for the person, generating photorealistic images of that person wearing multiple different outfits. It strictly preserves real identity features—no face swapping or facial feature changes. The GPT image model is used by default, and the number of outfits is confirmed with the user before generation. Best for: fashion e-commerce owners, brick-and-mortar clothing store owners, and fashion influencers who sell through livestreams
Recommended by
Dancang
Why we love this skill
Uses one source photo, confirms the materials, outfit direction, and quantity, then checks consistency across each look—preserving clothing detail and natural smartphone-snapshot realism.
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ImageSame Model, New Outfits
AI virtual fitting room: Upload a person photo (+ clothing photo) to generate e-commerce-ready outfit swaps with the same face kept consistent across images and clothing reproduced faithfully. Supports: outfit swaps (one person, one scene, multiple outfits), scene swaps (one person, one outfit, multiple scenes), and full-season batches (a complete set of product detail images in one go); it also supports pet outfit swaps and pure white e-commerce backgrounds. Trigger when users say “change the outfit,” “try on clothes,” “help me change the clothes and generate an image,” “clothing product detail images,” “model photos,” “lookbook,” “styling images,” “wholesale market product images,” “on-model images,” “dress the pet,” or “change the scene while keeping the clothes unchanged.” Core rules: three locks (identity/clothing/scene), change only one thing per image, lock clothing down to the buttons, and keep colors neutral without color casts. The default canvas matches the uploaded image, and the aspect ratio can also be customized.
AI Virtual Try-On
Upload a clear full-body photo and an image of the clothing to realistically preview how the specified garment looks on you, helping you decide whether it is suitable to buy or pair with other items. AI will make every effort to preserve your real body shape, proportions, facial features, hairstyle, skin tone, original background, and lighting. It only replaces the areas covered by the clothing, without slimming, lengthening your legs, smoothing your skin, or applying beautifying filters, so the garment’s tightness, length, drape, and cut look closer to how it would appear when actually worn. Whether you’re trying on a top, bottom, dress, coat, or complete outfit, you can generate a photorealistic virtual try-on image. Based on the garment’s cut and your posture in the photo, AI will objectively explain whether the overall fit is true to size, tight, or loose, whether the length is appropriate, and whether it is better suited to casual or formal occasions. It also checks the pattern, material, shoulder line, hem, and lighting. If it detects obvious compositing distortions, it will point them out honestly and suggest improvements, such as changing the shooting angle or adding more clothing details. You can also keep changing the clothing, adjust the color, switch the background, or try different variations.
ImagePhotorealistic Head, Drawn Body
Upload a real photo—no target image needed—to automatically create a finished mixed-style image with a photorealistic head and black-and-white hand-drawn illustration. The head retains photo-realistic texture and recognizable facial features (facial features stay the same, while the expression may be subtly adjusted). Everything else—including the hair and hairstyle, body and build, clothing, pose, background, and decorative elements such as hearts, stars, sparkles, and motion lines—is transformed into a black-and-white hand-drawn illustration. The body keeps realistic proportions, while the original hairstyle and pose are preserved. Ideal for turning a single photo of a person or pet into a creative image featuring a photorealistic head and hand-drawn elements in the same frame.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
