How to Try Clothes on Your Photo with AI: A Step-by-Step Guide
How to use AI to see what an outfit looks like on a person without anyone wearing it. A practical guide to uploading the right two photos, choosing settings, and judging the result.
July 28, 2026 · 6 min read · koboshi
You find a shirt online. It looks good on the model. You wonder how it would look on you. Not just the color, but the fit: where the sleeves hit, how it falls across the shoulders, whether the length works with your usual jeans. You cannot try it on without buying it. Or, until recently, you could not.
An AI clothes changer takes two photos (one of a person, one of a garment) and renders the garment onto the person. The face, the pose, the body shape, and the background stay the same. Only the clothes change. It is not a virtual fitting room that measures your body. It is a visual preview: what this outfit would look like on this person in this photo.
What the AI clothes changer does and does not do
The tool works from two images. The person photo provides everything except the clothes: the face, the hair, the body position, the lighting on the skin, the background. The outfit photo provides the garment: a shirt on a hanger, a dress laid flat, a jacket on a mannequin, another person wearing the item. The model reads the garment from the outfit photo, maps it onto the person in the person photo, and matches the lighting, folds, and drape to the original scene.
The results are often convincing. The garment follows the pose. The fabric reflects the lighting in the room. The neckline, hem, and sleeves sit where you would expect them to. For checking whether an outfit works, it is more useful than a product photo on a different body in different light.
The limits are real. Fine prints and small logos can shift or distort because the model has to warp the garment image to match the pose, and small details do not always survive the warp. Sheer fabrics confuse the model: it sees the skin through the fabric in the reference and the skin of the person photo, and it does not always know which is which. Hands, bags, or long hair covering the clothing in the person photo create gaps that the model has to fill in, and the fill can look unnatural. The result is a preview. It is not a guarantee of how a real garment will fit.
How to choose the right two photos
The person photo matters more than the outfit photo. A good person photo is front-facing, well-lit, with the full outfit visible. Avoid poses where the arms cross the torso or the hands sit in pockets. Avoid loose, bulky clothing in the person photo: the model reads the silhouette from the original clothes, and a baggy sweatshirt gives the model a baggy shape to work with. Fitted clothing in the person photo gives the model the clearest signal about body shape.
The outfit photo needs to show the garment clearly. A flat lay on a clean background works well. A hanger shot works if the garment hangs naturally. An on-model shot from a product page also works, but the model's pose, lighting, and body shape will not transfer: the tool only uses the garment, not the context.
Make sure the outfit covers roughly the same area as the clothing in the person photo. If the person photo shows a full-length outfit and the outfit photo only shows a shirt, the model will leave the lower half unchanged. If the person photo shows a close-up portrait and the outfit photo shows a full dress, the model only has the visible area to work with. Coverage should match.
Step by step
Go to the AI Clothes Changer page. Upload the person photo to the first slot, the outfit photo to the second. Both should be JPEG, PNG, or WebP, up to 5 MB each.
Pick a model. Seedream 5.0 Pro is the balanced option for most uses. It costs 28 credits per run. Seedream 5.0 Lite costs 12 credits and produces up to 4K output, useful if you need the largest possible image. Seedream 4.5 costs 14 credits and leans toward portrait rendering: try it if the person photo is a close-up.
Choose your resolution. The selector shows only the options the chosen model supports. Pick the output format: PNG or JPEG depending on what you need downstream.
Click generate. The tool processes both images and returns a result in about 30 to 60 seconds. The preview is watermarked. The download is full quality with no watermark.
The clothes changer costs twice as many credits as the single-image tools because it reads two images instead of one. Check the pricing page for the current per-model credit costs before you run a batch.
Where the tool really shines
For personal use, the clothes changer answers the question every online shopper has asked: "What would this look like on me?" It will not tell you how the fabric feels or whether the sizing runs small, but it gives you a visual reference that a flat product shot cannot.
For e-commerce, it can turn a flat garment photo into an on-model product image without booking a model or a studio. If you have a clean person photo you own and a garment photo, you can generate a preview of the garment on a person in minutes. It is not a replacement for a professional model shoot for a flagship product. It is a practical shortcut for small sellers who need to show how a garment looks on a body without the overhead of a full production.
For stylists and designers, it is a quick way to mock up outfit combinations for clients. Run several garment photos against the same person photo and you have a consistent visual catalog of options.
What to check before using the result
Zoom in to full size. Check prints, logos, and text on the garment. Small details sometimes warp or change color. If the garment has a recognizable brand logo, confirm it reads correctly before publishing.
Check the fabric drape. The model reconstructs how the fabric should fall based on the lighting and pose of the person photo. In most cases it looks natural. In some cases the drape can look slightly off: too stiff, too loose, or pulled in an unexpected direction. Compare it against the outfit reference photo.
Check the edges where the garment meets the skin, hair, and background. This is where artifacts are most likely to show up. A collar may blend into the neck. A hem may bleed into the legs. If the edges look clean at full size, the result is good to use.
If you are using the result for a product listing, keep the flat-lay or hanger photo alongside the AI-generated on-model version. It gives buyers both views and makes it clear that the on-model image is a visualization, not a photograph of a real person wearing the actual garment. Platform policies on AI-generated listing images vary, and disclosing how the image was made is both honest and increasingly expected.