E-commerce-Grade Product Photography Quality: A One-Shot Prompt Structure

A prompt structure example aimed at "product photography quality": first use a reference image to establish the product's appearance, then use a structured English prompt to constrain materials, lighting, background, and composition, and finally have the model output a hero-image-level frame suitable for e-commerce detail pages. Work composition: generate one product reference image in assets (a matte metal insulated tumbler with label details), and bind it as an edit/blend reference via image_input; base fixes the resolution at 2K, the 16:9 aspect ratio, and png output to ensure image clarity and leave room for later layout cropping; the top-level prompt uses a segmented "subject—material—lighting—background—camera parameters—negative constraints" format, making it easy for developers to reuse as a template and replace category variables. Use cases: e-commerce hero images and the first screen of detail pages, social media ad creatives, brand product concept images; it is also suitable as a baseline for prompt engineering comparison experiments—fix the lighting and lens descriptions, replace only the subject and material sections, and observe how the nano-banana series responds differently to material and lighting instructions.