GPT Image 2.5 Product Photography: 3 Prompts to Change the Scene, Not the SKU

GPT Image 2.5 can support ecommerce product photography by generating cutouts, campaign scenes, and limited retouches from approved, owned, or licensed SKU references, but generated outputs require human review because subtle changes to labels, logos, colors, proportions, counts, shadows, or packaging can make an image unsuitable for listings or advertising. The recommended workflow begins with a SKU protection list, changes only one variable per generation, and preserves source files, prompts, settings, outputs, and reviewer decisions for traceability. Flare is presented as a faster option for background removal and early scene exploration, while Sunburst is positioned for narrowly scoped adjustments after a composition has been approved. Quality assurance should compare every candidate against the original source for product identity, readable package text, geometry, material, lighting, crop, and compliance-sensitive details, with any failure requiring a return to the last accepted source. The material also advises separating creative generation from commercial, marketplace, and regulatory approval, using licensed assets only, and estimating costs based on total generation spending divided by manually approved outputs rather than advertised per-image starting prices.

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