Can GPT Image 2.6 Animate a Product Photo Without Changing the Product?

GPT Image 2.6 can generate GIFs and edit product photographs, but in the described Atlas Cloud setup its Flare route creates GIFs from text rather than uploaded images, while Sunburst Edit accepts product photos but returns still-image formats. For animations of real products, the recommended workflow is to first create and approve a faithful edited still, then use an image-to-video model for restrained motion, since generated video can subtly alter caps, labels, silhouettes, colors, or add nonexistent features. Reference cases involving a perfume bottle, sneaker, and tumbler illustrate that smooth movement and visually appealing scenes do not guarantee product accuracy, particularly across middle and final frames. The process emphasizes comparing the original product photo, approved still, and several video frames at full resolution, avoiding wide camera rotations from a single reference view, and checking loop continuity before release. GIFs suit short silent loops, while MP4 is preferable for sound, controls, or longer playback, and budgeting should account for retries and the cost per approved asset rather than only initial generation prices.

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