AI fashion photography fails in ways a quick scroll does not catch, so every delivered frame is held to six named quality standards. Each one exists because a real failure taught us it was missing.
Six checks on every frame
Every file ships with its numbers
A frame that fails is not charged
Each standard below is shown in the frames rather than described, including the failure that named it.
One face across the whole run is what makes a hundred items read as one shoot. Identity is checked per frame against the reference you selected, and each model reference serves its own block of items so a batch never mixes faces mid-set.
The failure that named it A stranger appearing in the middle of a set reads as a mistake rather than a choice, and it is the failure nobody catches until the PDPs are live side by side.
Generative models redesign clothes when nothing stops them. Motif, scale and repeat of a print have to survive; so do construction details, the lapel roll and button stance that give tailoring away.
The failure that named it Right print family, wrong motif. A wrong color is your garment misgraded; a wrong print is somebody else’s garment.
Length and coverage are checked explicitly. A garment’s category, hemline and how much body it covers must match the photograph you sent, however good the render looks.
The failure that named it A T-shirt rendered as a minidress, bare legs where bottoms were sent. Coverage is the failure nobody checks for, because the image looks well made.
A seamless sweep comes back as one unbroken surface: nothing gets invented behind the shoulder, and the wall holds its brightness instead of drifting cool enough to tint the skin. Backgrounds come from a picked board, so the set is a decision rather than a suggestion.
The failure that named it Brief said near-white sweep. Delivered: an out-of-focus sphere behind the shoulder and a wall two lighting setups away from the floor.
Every frame is measured against your own photograph in ΔE00, on the garment rather than the whole image, and reported against the industry bands.
Across one run of 240 delivered frames (120 garments on two engines, measured 2026-08-18), the 220 frames that carried a measurement had a median ΔE00 of 2.87 as returned by the engine and 0.68 after the color pass. The other 20 were withheld rather than guessed.
Which engine made the frame, which of your photographs it came from, what the color measured. A file that cannot answer for itself does not ship, and a frame that fails any standard above is not charged.
Why it is a standard and not a feature Screenshots cannot settle an argument, be compared across engines, or fail a build. A number attached to the file can.
Send five garments and get the six checks run on your own product, with the numbers attached to each file. Where a frame misses a standard we say which one and why, and that frame is not charged.
100+ creatives a month · 5 to 7 day turnaround · up to 60 items by 8 models in one job