AI photography — human-checked

On-model photos from the flat shots you already have.

Your garment on a consistent model, in consistent light, across the whole catalog — no studio day, no scheduling, and every image checked by a human against the real product.

Fixed quote in 24h Human QA on every image Marketplace-safe
The transformation

Flat shot in. On-model out.

Your product photos go here. Ask for a one-garment test on your call.

Why it matters

The photoshoot is the bottleneck between you and launch.

01

The shoot you keep postponing

Model, photographer, studio, steaming, retouching — a full production to photograph a restock. So new SKUs sit unlisted.

02

The catalog that looks like five brands

Different models, different light, different floors — every shoot batch ages your grid a different way.

03

Flat shots don't sell fit

Customers buy when they can see drape on a body. A flat lay answers "what is it" — never "how will it look on me."

How it works

The step that matters is the human in the middle.

You send flat shots

The product photos you already have — front and back, decent light. We confirm usability before quoting.

Model direction, agreed

You pick the model look, poses and setting once — it holds across the whole catalog.

Generate → human QA

Every image is checked against your real garment: print placement, seams, colour, drape. Failures die here, not in your store.

Delivered, channel-ready

Crops and ratios for your store and marketplaces, with disclosure guidance where platforms require it.

What you get

A catalog that finally looks like one brand.

01

On-model images per garment

Your product on a model, in your agreed direction — from the flat shot alone.

02

Consistent model & light

The same looks, poses and lighting across every SKU — the grid reads as one collection.

03

Colourway coverage

Every colour variant photographed — without re-shooting anything.

04

Channel-ready crops

Ratios and resolutions for Shopify, Instagram and the marketplaces you name.

05

Human garment-fidelity QA

Each image checked against the real product before you see it — documented.

06

Disclosure guidance

Where a platform requires an AI label, we tell you — before you publish.

07

Full usage rights

Delivered images are yours to use across your channels, documented.

08

Restock speed

New colour or returning SKU? New images in days — no studio calendar.

09

Two revision rounds

Model direction and image corrections — built into the price.

The fidelity promise

The garment is the truth. The image serves it.

An AI image that "improves" your product — sharper print, better drape, a colour that pops more than the dye ever will — is a returns machine. Our QA rejects any image that doesn't match the physical garment a customer will unbox. What you show is what they get, or the image doesn't ship.

That's also why the frames above are placeholders: we don't decorate this page with generated fashion imagery and call it proof.

An honest comparison

When to shoot real. When to generate.

Real photoshoot wins

  • Brand campaigns and hero imagery with a story
  • Fabric stories that need macro texture in motion
  • Lookbooks built around a specific muse or location
  • We'll tell you when this is your answer — honestly

AI on-model wins

  • Catalog scale — tens or hundreds of SKUs
  • Colourway variants without re-shooting
  • Restocks and new drops on a deadline
  • A consistent grid when shoots came out patchy

Most brands end up with both — each doing what it's best at.

Rights & ethics

Safe to publish. Safe to stand behind.

01

No borrowed faces

Synthetic models only — never a real person's likeness without consent. No scraped faces, no look-alikes.

02

Platform rules, tracked

Marketplace AI-imagery policies differ and change. We deliver compliant for the channels you name, and flag where a label is required.

03

Your images, documented

Usage rights to every delivered image are yours, in writing — store, ads, marketplaces.

Proof, honestly

The only proof that matters is your own garment.

Anyone can show a perfect stranger's image. Ask for a one-garment test on your call — your flat shot, our process, and you judge the result against the product in your hands.

Before / after.

Your flat shot → on-model
One-garment test · on request

Catalog consistency.

Grid sample — on your call
One model · many SKUs

The QA sheet.

Fidelity checklist — live walkthrough
What we reject, and why
Questions

Asked before every catalog.

That's the entire job, and it's why a human QA step sits between the AI and you. Every image is checked against your real product — print placement, seams, colour, drape, hardware. Images that flatter the garment by changing it get rejected before you ever see them.

The flat shots or ghost-mannequin photos you already have — front and back, decent light, any phone camera at product quality works. If your current shots aren't usable we'll tell you exactly what to reshoot before quoting, not after.

Yes — that's one of the biggest advantages. Your whole catalog can share consistent model looks, poses and lighting, so the grid finally looks like one brand. You choose the model direction (age, style, setting) at the start and it holds across every SKU.

Policies differ by platform and they change — some require AI-generated imagery to be disclosed or restrict it for certain categories. We track the current rules, deliver images that comply for the channels you name, and tell you plainly where a label or a real photo is required.

The models are synthetic — not generated from any real person's likeness without consent, ever. No scraped faces, no celebrity look-alikes. You get documented usage rights to every delivered image.

For brand campaigns and hero imagery — probably yes, and we'll say so. AI on-model photography wins where shoots break down: catalog scale, restocks, colourway variants and speed. Most brands end up with both, each doing what it's best at.

Get your quote

Send one flat shot. See what your catalog could look like.

Tell us the garments and where the photos will run — fixed quote within 24 hours.