FitLock — constraint templates for AI apparel photos

Generate on-model shots for small clothing sellers without AI changing the fit

Problem

A V2EX developer built an AI tool that turns flat-lay garment photos into on-model product shots, but openly admits the AI can change buttons, textures, prints, sleeve length, or fit, so results can't replace a real try-on. He ended up manually encoding color, fabric, logo, and collar constraints into the pipeline. The real pain for small sellers isn't generation — it's consistency and catching mistakes.

Solution

A lightweight constraint-template tool: sellers define immutable attributes per garment (fit, button count, print placement, logo), the generator always carries those constraints, and outputs are diffed against the input with suspicious regions highlighted for quick review. It doesn't try to replace photography; it minimizes rework.

Users

Small clothing sellers without budget for models and studios, cross-border e-commerce solopreneurs, secondhand clothing sellers.

MVP

Upload flat-lay image; fill in immutable attributes; one-click on-model generation; highlight key-region differences from the source; save a reusable template per SKU.

Revenue

Pay-per-generation credits or monthly subscription; failed generations don't consume credits to lower trial friction.

Why now

On-model photos drive conversion, small sellers are cost-sensitive, and general image models are strong enough — what's missing is the workflow layer that stops AI from altering the garment.