Playyy
Get started
Driven byGPT Image 2.5 & Nano Banana Pro🍌

Free AI virtual model and clothes try-on

Put one garment photo on a realistic AI model — pick the model, the framing and the poses, and get a clean set without booking a shoot

How to try clothes on an AI model

Upload one photo of the garment, choose a model, and get on-model photography of that product being worn.

A green zip-up training jacket photographed flat on a bed beside four shots of an AI model wearing it from the front, the back, seated, and in close-up.

Pick a model, upload the garment

Six models to choose from — Mira, Imani, Freya, Arun, Mateo and Elise — each a consistent face and body you can come back to for the next drop. The garment you upload replaces what the model is wearing, so a flat lay shot on a bed becomes on-body photography of that exact piece: same color, same seams, same zip, same fit through the shoulder.

Try for free
A cream linen blazer on a bed beside AI model shots of it worn front-on, from behind, seated, and cropped at the waist.

Full length, waist-up, or a detail crop

Three framings, each with a catalog of its own. Full-length gives you the twelve positions a lookbook runs on — front, turn left, turn right, side profile, catalog step, relaxed stance, hands behind, in pockets, low arm rest, collar touch, side pivot and look back. Waist-up has its own eight, built to read at that crop. Detail framing isn't poses at all: it's the parts of the garment a buyer zooms into — neckline, cuff, fastening, hem, pocket, fabric, back detail and shoulder seam.

Try for free
A cream and green panelled sports t-shirt on a dark surface beside AI model shots of it worn front, back, and in a neckline close-up.

The seller's try-on, not the shopper's

A consumer try-on app puts clothes on the customer's own photo. This is the other direction: it produces the on-model imagery a listing, a lookbook, or an ad needs, at 3:4 for the slots those take. The product is what has to survive — print placement, color, hardware and silhouette all carry from the source — because a model shot that restyles the garment is worse than no model shot at all.

Try for free

Everything you need for AI model try-on photos

Packshot or flat lay in

Start from a ghost mannequin, a hanger shot, or a garment laid out on a bed. The photo only has to show the piece clearly.

Six models to return to

Mira, Imani, Freya, Arun, Mateo and Elise. Picking the same model across a range is what keeps a collection page looking like one shoot.

Three framings, three catalogs

Full-length, waist-up, and a detail framing that crops to the garment's own parts rather than to the model.

Twelve full-body poses

Front, turns, side profile, catalog step, hands in pockets, look back and more — the positions a lookbook actually uses.

The SKU stays the SKU

Print placement, color, hardware and silhouette are carried from your photo. The model changes; the garment doesn't.

Catalog and campaign from one file

A PDP set, a lookbook spread, and the detail crops for the gallery all come out of the same source photo in one session.

What Our Users Are Saying

  • “I still book real talent for hero campaigns, but I will not wait on a studio for every mid-season colorway. Virtual models let me put the new fabric on a body the same day the sample photo lands.”

    Claire Dubois

    Claire Dubois

    Creative Director & Brand Aesthetic Consultant

  • “Amazon wants a packshot. The brand site wants a model. Paid social wants lifestyle. I used to skip two of those because we could not afford three shoots. Now the packshot feeds all three.”

    James Walker

    James Walker

    Ecommerce Creative Strategist

  • “Using the same model across the range was the change that mattered. The collection page stopped looking like it was shot by four different people.”

    Aiko Tanaka

    Aiko Tanaka

    Independent Designer & Visual Systems Consultant

Why Playyy for Virtual Model

On-model without a production day

Casting, fittings, and location permits are what make fashion photography slow. This skips that stack: the garment photo is the input and the output is a person wearing it. You still review likeness and product accuracy before anything ships — that review is the part that doesn't go away.

The product has to stay true

A model shot that quietly restyles the garment into a different cut is useless for ecommerce and actively harmful on a listing. Keeping print placement, color, hardware and silhouette aligned with the source packshot is the constraint the whole thing is built around.

Same model, next season

Fixed models are a feature, not a limitation. A prompt-described face changes every time you run it, which is exactly what you don't want across a collection. Coming back to Freya for the whole range is what makes forty product pages read as one catalog.

Related Use Cases

Frequently asked questions

How do I try clothes on an AI model?+

Upload one photo of the garment — flat lay, hanger shot, or ghost mannequin — pick one of the six models, choose a framing and the poses you want, and each comes back as a finished on-model photograph of that exact piece.

Is this virtual try-on?+

It's the seller's half of it. A consumer virtual try-on app puts clothes onto the shopper's own photo so they can preview a fit. This produces on-model product photography for listings, lookbooks and ads — same idea, opposite direction, and it's catalog imagery you get out of it rather than a fitting-room preview.

Can I choose the model?+

Yes — six of them, each with a consistent face and body: Mira, Imani, Freya, Arun, Mateo and Elise. They're fixed on purpose, so the same model can carry a whole range instead of a new face appearing on every product page.

What poses and framings are available?+

Three framings. Full-length has twelve poses — front view, turn left, turn right, side profile, catalog step, relaxed stance, hands behind, in pockets, low arm rest, collar touch, side pivot and look back. Waist-up has its own set of eight. Detail framing crops to garment parts instead: neckline, cuff, fastening, hem, pocket, fabric, back detail and shoulder seam.

What products work?+

Apparel first — tops, jackets, dresses, knitwear. Results are strongest when the whole piece is visible in the source photo and the fabric and any print read clearly. A cluttered or extreme-angle shot is worth cleaning up first.

Will the product still match the real SKU?+

That's the review step. Check color, print placement, hardware and proportion against the source before publishing. The tool is built to preserve the product; if a detail drifts, regenerate that shot.

How is this different from ghost mannequin?+

Ghost mannequin produces a hollow 3D garment with no person in frame — the construction shot for collection grids and Amazon alternate slots. This puts the product on a person, which is the on-figure format Amazon's Clothing & Accessories style guide specifies for adult apparel main images, and what lookbooks, PDP lifestyle and ads need. Many teams run both from the same photo.

Read our customer stories

See how teams are using Playyy to ship better visuals, faster.

All stories →

Create polished brand visuals fast

Keep every image on brand, control the final look, and turn campaign ideas into polished assets without waiting on another design cycle.