ProductToModel
review-first apparel imaging

Turn Flat Lay Photos into On-Model Photos

Upload one SKU, preserve the details that matter, and get a reviewed candidate batch that feels sellable instead of synthetic.

1 SKU8 reviewed candidatesfallback if unusable
1 SKU
8 candidates
fallback if not usable

Proof frame

Flat-lay in, on-model out.

detail-sensitive

Flat lay input

hoodie
Original hoodie flat-lay

Original hoodie flat-lay

The source image stays recognizable so the result still reads like the original SKU.

On-model output

score 100
Delivered hoodie candidate

Delivered hoodie candidate

Top-scoring delivered output for proof blocks.

What you send

One main garment image, plus the details you cannot afford to lose.

Main image first
The main image should dominate the intake because it anchors the SKU identity.
Original hoodie flat-lay
Main uploader

Start with the flat-lay or hanger image that already sells the SKU internally.

This is the source image buyers already trust. The rest of the funnel should support it, not distract from it.

Logo / print detail
Logo / print detail
Close-up references help the system keep placement and scale stable.
Texture / color detail
Texture / color detail
Use these if the garment material or color nuance must stay exact.
Trim / structure detail
Trim / structure detail
Helpful for zippers, cuffs, seams, collars, or distinctive construction.

What we protect

The job is not just to generate a person. It is to keep the SKU believable.

01
Striped dress detail preservation
Top-scoring dress-striped candidate archived from the local-source showcase run.
Blue striped dress flat-lay source

source

dress-striped candidate 3

candidate

score 95
dressreviewable
02
Jacket texture and pocket fidelity
Alternate jacket candidate with strong texture and pocket preservation.
Pexels jacket flat-lay source

source

Jacket alternate candidate

candidate

score 95
jacketreviewable
03
T-shirt baseline commercial output
Highest-scoring t-shirt candidate from the local-source showcase run.
Pexels t-shirt flat-lay source

source

T-shirt hero candidate

candidate

score 100
teereviewable
C

Color

Keep the garment color grounded so the result reads like your actual SKU.

L

Logo / print

Preserve chest art, back print, and placement-sensitive brand marks.

S

Shape / drape

Hold onto silhouette, fabric fall, and overall fit cues that sell trust.

S

Structural details

Protect seams, plackets, pockets, collars, and hardware from drifting.

How delivery works

A short path from source upload to reviewed candidate set.

01upload

Upload

Start with one main SKU image and add optional detail references.

02template

Choose template

Pick the category, model style, scene pack, and output ratio.

03pay

Authenticate and pay

Commit only when the draft looks right. Checkout stays tied to the job.

04review

Review or fallback

Approve a reviewed candidate set or move through fallback if quality is not usable.

Price

$29 / SKU

One-time

Includes 8 reviewable candidates, audit coverage, and fallback routing if the batch is not usable.

8 reviewed candidates
single payment
fallback included

FAQ

Enough reassurance to make the first paid SKU feel low-friction.

What input quality do I need?
A clear main garment image is the minimum. Detail references improve fidelity for prints, trims, and structure.
What if the batch is not usable?
The workflow moves into fallback instead of silently shipping a weak result.
Who owns the uploaded assets?
Your upload is used for your SKU job only, and sensitive funnel surfaces stay masked in analytics recordings.