What is Outfit Swap?
Outfit Swap maps clothing, shoes, and accessories from a reference photo onto a person you already photographed. The subject, pose, and scene stay put; only the worn look changes.
Stylists, sellers, and creators used to restage a shoot whenever the wardrobe changed. Outfit Swap compresses that into two uploads: a base image of the person in context, and a reference outfit on a model, mannequin, or flat lay. The generator transfers the garments onto the base subject so you can preview a tracksuit on a street portrait or a midi dress on an outdoor fashion shot without booking a second session.
Use this clothing transfer when you already like the face, pose, and background and only need different clothes. That is the opposite of generating a new model from a product photo. Keep the lighting and framing you captured on location, then change the wardrobe on top. The result is still the same person standing in the same place — useful when a client signed off the scene but not the look.
A reference outfit can be a full look on another person, a mannequin, or a clean product shot. Shoes and accessories travel with the clothes when they are visible in that second image. If the reference is only a jacket on a hanger, expect the rest of the original clothing to stay unless you add a fuller look. Clear, well-lit files matter more than a long written brief; this workspace does not ask you to describe every stitch.
Pixwit runs the transfer in the browser with Nano Banana 2. You pick 1K, 2K, or 4K, compare before and after with a slider, and download PNG or JPEG. Signup credits cover a first run so you can test a sample pair before using your own photos.
Who Uses Outfit Swap
Independent sellers restyle existing model photos instead of hiring another day on set. Fashion startups test silhouettes on a real person they already shot. Cosplayers visualize costume changes on a character reference. Social creators need wardrobe variations for the same pose across a carousel. Catalog teams who already have lifestyle frames can change clothes across SKUs without rebuilding the scene. If you do not have a person-in-scene photo and only have a product flat-lay, Virtual Try-On is the better starting point.
How to Swap Outfits with AI
You can run the clothing change in four steps on this page. Sharp photos matter more than a long prompt. Samples above the form let you test a street-to-tracksuit or fashion-to-dress pair before you upload your own files.
Upload a base image
Choose a photo of the person whose clothes you want to change. Full-body or upper-body shots with a clear clothing area work best. Avoid heavy occlusion, tiny distant figures, or crops that hide the torso.
Upload a reference outfit
Add a second image showing the clothing, shoes, or accessories to transfer. Model photos, mannequin shots, and flat-lay product images all work when the garments are sharp and fully visible.
Choose quality
Pick 2K for a balanced result, 4K when you need maximum detail for print or lookbooks, or Fast Mode for a quicker 1K preview. Aspect ratio defaults to auto from the base photo.
Swap and download
Click Swap Outfit, wait for the generation, compare before and after with the slider, then download PNG or JPEG. Rerun with a different reference if you want another wardrobe on the same base.
Popular Use Cases
Fashion and styling
Preview how a look sits on a specific person before a shoot or purchase. Swap outfits on photos from a test day so art direction can choose between a tracksuit, a dress, or layered pieces without recasting.
Ecommerce and lookbooks
Test product styling on model photos you already licensed. This is useful when the catalog needs another colorway or silhouette on the same pose and location instead of a new studio booking.
Cosplay and costumes
Visualize costume changes on a character or reference photo. Keep the pose and scene, then transfer a different outfit so you can compare armor, streetwear, or stage looks side by side.
Creative and social content
Experiment with wardrobe variations for editorial grids, Reels stills, and campaign concepts. One approved pose plus several reference looks is faster than restaging the same street corner.
Why Use Outfit Swap?
Preserves identity and pose
Keeps face, hair, body shape, expression, and camera framing from the original photo so the person still looks like themselves after the clothing change.
Natural scene blend
Maintains lighting, shadows, and background so the new clothes look worn in that place rather than pasted on a cutout.
Full look transfer
Transfers clothing, footwear, and accessories from the reference image in one step when those pieces are visible in the source.
Two-image workflow
You are not writing a paragraph about fabric. You supply the person and the target look as photos, which is faster when you already have both files.
Up to 4K output
Nano Banana 2 can deliver 1K, 2K, or 4K files for social posts, lookbooks, and campaign stills. Credit cost is shown on the button before you run.
On-page editor
Samples, upload slots, generation, and download stay on this same URL. There is no separate marketing page that only explains the feature.
How to Get Cleaner Outfit Swap Results
Start with a base photo where the person is the main subject and the current clothes are fully visible. A full-body or three-quarter frame beats a tight headshot because the generator needs fabric area to replace. Busy crowds, motion blur, and overlapping people make it harder to keep identity. If the first result is close, change only the reference outfit rather than swapping the base photo as well.
For the reference, choose a file that shows the complete look you want transferred. A cropped hem or a jacket covering the trousers will leave gaps. Product flat-lays work when the silhouette is obvious; mannequin and model shots work when lighting is even. Match the coverage you expect: a summer dress reference will not reliably add a winter coat that is not in that image.
Treat the tool as a wardrobe edit on an existing photograph, not as a virtual fitting room that invents a new model. If you only have a garment on a table and need a dressed figure from scratch, use Virtual Try-On. If you already like the person in the scene and need different clothes, stay on this page. After you download, Photography Studio and Image Ad Generator can restage or layout the still for listings and paid social.
Related tools after you download
A clothing change is often one step in a fashion workflow. These descriptive links stay on Pixwit if you need a product-to-model try-on, a studio restage, ad layouts, or more credits.
- AI Virtual Try-On
Have a product flat-lay instead of a person-in-scene photo? Generate a dressed model from the garment rather than changing clothes on an existing portrait.
- Photography Studio
Need a different backdrop or lighting on the finished still? Restage the downloaded image without changing the clothes again.
- Image Ad Generator
Turn a finished clothing change into ad layouts with headlines and safe zones for paid social.
- Pricing and credits
See how signup credits and paid packs map to Nano Banana 2 catalog pricing: 16 credits for 1K, 24 for 2K, or 36 for 4K.
Background reading: Fashion photography (Wikipedia)
Outfit Swap FAQ
What is Outfit Swap?
- It is a two-image clothing transfer: a base photo of a person plus a reference look. The tool changes the worn clothes, shoes, and accessories while keeping identity, pose, and background. On this page that means uploading both files, generating, and downloading without leaving the URL.
What images do I need?
- You need two images: a base photo with the person, and a reference photo showing the outfit you want to transfer. JPG, PNG, and WebP up to 10 MB each are supported. Full-body or upper-body bases with a clear clothing area give more reliable results.
Will the person's face change?
- No. The model is instructed to preserve identity, face, hair, pose, and background. Only the worn outfit should change. Extreme angles, heavy makeup, or tiny faces can still drift, so review the download at full size.
How is Outfit Swap different from virtual try-on?
- Virtual try-on typically starts from a product photo and dresses a model you choose or generate. This page starts from a photo of a person already in a scene and replaces their clothes with a reference look. Use try-on for catalog figures from flat-lays; stay here to swap outfits on photos you already shot.
How many credits does it cost?
- Pricing follows Nano Banana 2 catalog rates: 16 credits for 1K, 24 for 2K, or 36 for 4K. Fast Mode uses 1K. The button shows the cost before you generate. New accounts receive signup credits to try a sample.
What file formats are supported?
- Upload JPEG, PNG, or WebP up to 10 MB per image. Download results as PNG or JPEG. Very small or heavily compressed files can lose fabric detail in the transfer.
Can I use the results commercially?
- Paid plans include commercial usage rights for images you generate, subject to our terms and the rights you already hold in the photos you upload. Do not upload likenesses or branded garments you are not allowed to use.
Is my data private?
- Uploads are processed to generate your result. Sign in is required to run generation. Do not upload sensitive documents or photos of people who have not given permission.
Run Outfit Swap on your own photos
Scroll up, drop in a base image and a reference outfit, then generate. First runs use the credits shown on the button.