E-commerce Product Photography: Sunburst Image Prompt Breakdown

Using a bottle of fragrance skincare serum as the subject, this demonstrates how to break "e-commerce-grade product photography" down into controllable elements with a structured English prompt: subject description, materials and reflections, lighting setup, background and pedestal, composition and negative space, and post-production texture keywords. The image is actually generated by the gpt-image-2.5 Sunburst text-to-image pipeline at the 1K tier to ensure fast generation and reusability; the prompt explicitly calls for edge highlights on the glass bottle, brushed texture on the metal cap, and layered refraction within the liquid. Applicable scenarios: e-commerce hero images and detail-page assets, brand visual proposals, A/B testing of multiple lighting setups, and reusable prompt templates for design teams. Two things to note when using this model family: a single Sunburst request takes a long time, and high resolution adds further time cost, so it suits batch generation where final image quality matters more than throughput; packaging layouts containing dense small text should still be manually reviewed.