Building Consistent AI Fashion Imagery for Product Catalogs
Fashion e-commerce has a content problem that does not look like a content problem until you try to scale it. Every SKU needs a packshot, an on-model shot, often several poses, and is refreshed every season. The traditional answer is a studio: models, a photographer, a stylist, retouching, and a turnaround measured in weeks. That works for a lookbook. It falls apart at ten thousand SKUs a month.
Generative image models look like an obvious fix, and for a demo they are. The hard part is not making one nice picture. A product listing is not one image, it is a set, usually around five: different poses and angles of the same item. Those images are shown side by side on the same page, so they have to agree with each other at the pixel level. The same garment down to the stitching, the same model identity, the same lighting,...
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