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AI Clothes Changer One Model, Every SKU

Upload a photo of a person and a photo of a garment.

Clothes ChangerApparel Ads

Three deliberate steps

01

Upload the person

The model shot you want to keep. Head-and-torso or full-body both work, as long as the clothing area is unobstructed.

02

Upload the new garment

A product photo or flat-lay of the item you want them wearing. Order matters — person first, garment second.

03

Ship the variant

The same model comes back in the new outfit. Send it to Creatives and resize it for each placement, or run it again with the next SKU.

Use cases

Who reaches for this, and when

One shoot, a whole catalogue of ads

The reason apparel creative is expensive is that every SKU needs its own shoot. Re-dress a single approved model shot instead, and the model, lighting and framing stay constant across the set — which is exactly what you want when the thing you are testing is the product, not the photography.

Test the outfit before the media budget

Put a sample garment on a model before you have shot it, or before you have manufactured it. If the concept does not read at thumbnail size in the feed, you learn that for the cost of one generation rather than one production day.

Refresh a fatigued ad without a reshoot

A winning apparel creative decays because the audience has seen it, not because it stopped being good. Swapping the garment on the same proven layout keeps the composition that worked and resets the novelty.

Questions before you run it

How is this different from virtual try-on?
The engine is the same; the intent is not. Virtual try-on is an ecommerce feature — showing a shopper an item on a body. Clothes changing is a production step — getting the same model into six outfits so you have six ad variants with one variable changed. Same button, different job. Use the virtual try-on tool linked below if you are building the shopper-facing experience.
Does the model’s face and pose stay the same?
That is the point of the tool. The garment is fitted to the existing pose and proportions rather than the scene being regenerated, so the person, their stance and the background all persist. This is why it works for a variant set — the only thing that differs between your creatives is the product.
How many images do I need?
Exactly two, in order: the person first, then the garment. A one-image request is refused before any credits are deducted, because the second slot is not optional.
What garment types work?
Tops, bottoms and one-piece garments. The category is detected automatically, so you do not need to label it. Accessories, footwear and heavily layered outfits are outside what this model does well — for those, generate the scene rather than swapping the item.
Is the AI clothes changer free?
Sign up on this page and you get free credits to run it — no separate checkout, no jump to a pricing page first. Each run is credit-metered after that, and you can see the cost before you press the button.