How to Change Clothes in a Photo

You have a photo you like. The pose is right, the light is right, the smile is right. The outfit is not. Maybe it's three years old, maybe it doesn't fit the occasion, maybe the shop you're selling through needs it on a person instead of a hanger.

Changing the clothes used to mean Photoshop, layered masks, and half a day per image. Now you can submit the change in a few steps; processing time depends on the image and service load. The hard part is no longer the swap — it's making the result look like a photo rather than a photo edit.

This guide covers both.

The short version

1. Open the tool and upload one clear photo of yourself.
2. Add a photo of the garment — flat lay, hanger or worn — or describe the outfit in a sentence.
3. Generate, check the five failure points below, and download.

The guest trial gives you one free 1K image without an account or card, subject to availability. Further runs and 2K/4K output require signing in and using credits. The paid Trial pack buys an additional generation; see the current credit packs.

What actually breaks in an AI outfit swap

Every image model fails in the same handful of places. Knowing them is what separates a usable result from one you can't post.

1. Logos and printed text

Text is the first thing an image model gets wrong, because it has to reproduce lettering it has never seen clearly. A small chest logo frequently comes back as plausible-looking gibberish — the shape is right, the letters are not.

What helps: a higher-resolution garment reference. A 400px product thumbnail gives the model almost nothing to preserve; a 1200px flat lay gives it the letter shapes.

What doesn't help: describing the logo in the prompt. Writing "Nike swoosh" tends to produce a swoosh-like blob rather than the real mark.

2. Dense patterns

Floral prints, plaid, houndstooth, anything with a repeating motif. The model knows a floral dress looks floral; it doesn't know that this specific print has a seam two inches left of centre where the pattern is supposed to realign.

What helps: a straight-on garment reference with the full pattern visible, and a pose where the torso isn't twisted.

3. Hands and occlusion

An arm across the body, hands in pockets, a bag strap over the shoulder. The model has to invent what's behind the occluder, and it usually invents the wrong thing — a sleeve that ends in mid-air, a hem that passes through a wrist.

What helps: pick a photo where the torso is unobstructed. If the pose is the point of the photo, this is where the tool will struggle, and it's worth knowing before you spend a credit.

4. Fabric physics

Silk, chiffon, sequins, leather and anything highly reflective. The model can draw the shape of a garment but not always the way gravity acts on that specific material.

Flat lays make this worse, because a flat lay has no folds at all — the model has to invent the entire drape. Expect a few attempts.

5. Identity drift

The thing nobody warns you about. Swap the outfit and the face comes back almost right: same features, slightly different jaw, subtly different eye shape. At thumbnail size it looks fine. In a dating profile it looks like a cousin.

What helps: state the constraint explicitly — "keep the face, facial features, hairstyle and skin tone exactly unchanged". Most tools accept this instruction. Ours has it built into every clothes tool by default.

Writing a prompt that works

You have two routes.

With a garment photo: keep the description short. The image is doing the work; the text is only there to constrain it. Something like:

Wear the garment from the second image. Keep the face, pose, background and lighting unchanged.

Without a garment photo: be specific about the garment, and vague about nothing else.

A navy linen blazer over a white tee, sleeves pushed to the elbow, smart casual.

Notice what's missing: no mention of the face, the background, or the lighting. Those are constraints, and they belong in the tool's defaults, not in your prompt where they compete for the model's attention.

Photos that work, and photos that don't

Work well:

• One person, facing the camera
• Face clearly visible, even lighting, no heavy filter
• Full or half body when the garment is trousers or a dress
• A plain-ish background

Work badly:

• Group photos — the model picks the wrong person or blends two
• Extreme angles where the body is foreshortened
• Backlit photos where the face is in shadow
• Screenshots of screenshots

Using it for product photos

If you sell clothing, the workflow is different from a personal try-on.

A flat lay on white is actually the ideal input for a garment reference, because there's no body, no pose and no lighting to confuse the model — only the garment. The model reconstructs how it would hang on a person.

Two practical notes:

• Shoot or source the garment at the resolution you want the listing to be. Upscaling after the fact won't restore text.
• Match the aspect ratio to your marketplace before generating, not after. Cropping a generated image often cuts the hem.

What to check before you post

Run these five checks on every result, in this order:

1. Eyes — same shape, same spacing, both catching the same light.
2. Hairline — no melted edges where hair meets forehead.
3. Logo or text — zoom to 100%, read it out loud.
4. Hands and edges — count the fingers, follow the sleeve to where it ends.
5. Shadows — does the garment cast a shadow consistent with the room's light?

If any of them fails, regenerate rather than repair. Fixing a bad swap in Photoshop usually takes longer than another generation.

The honest limits

You can create an outfit from a text description without a garment photo, or upload a reference to try a particular item. When using a reference, hidden or unclear details may not be reproduced accurately. Very small printed text can also be difficult to preserve. It refuses nudity, sexual content, and any photo that appears to show someone under 18 — not as a preference, but because a tool that changes clothing can be misused in ways that don't deserve a workaround.

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