AI tool converts flat-lay clothing photos into on-model shots in 60 seconds

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A developer has demonstrated a method using GPT-Image-2 to transform flat-lay garment photos into realistic on-model e-commerce shots, bypassing the need for model bookings and studio rentals. The technique relies on a two-part prompt structure: one clause preserves exact garment details, while the other adopts the pose and scene from a reference image. The order in which images are passed to the tool is critical, as swapping garment and reference inputs causes the output to fail silently and produce incorrect results. Detailed garment descriptions — specifying texture, fit, and structural features — significantly improve output quality compared to vague labels. The approach is drawn from an MIT-licensed skill library and costs 60 credits per high-quality generation, with support for up to five reference images per call.

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