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Four-Panel Eyewear Store Model Comparison preview image
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gpt-image-2 case室内建筑Image to Image1 ref

Four-Panel Eyewear Store Model Comparison

Creates a photorealistic 2×2 comparison collage of eyewear boutique interiors labeled by image generation model.

This is a gpt-image-2 prompt case for 室内建筑. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Using the provided reference images as layout/contrast inspiration, replace the original dense Japanese policy infographics with 2x2 photorealistic contrast mosaics. Each of the four panels should display {argument name="store type" default="Modern Eyewear Boutique"} Different realistic interior scenes, including warm retail lighting, shelves full of eyeglasses, wooden cabinets, display cases, mirrors, and a sophisticated high-end showroom atmosphere. Add a small horizontal orange label near the left side of each panel, and use the following four labels precisely:{argument name="top left label" default="GPT-Image-2"} ,{argument name="top right label" default="GPT-Image-1.5"} ,{argument name="bottom left label" default="MAI Image 2 Efficient"} as well as{argument name="bottom right label" default="Flux.2 Flex"} Keep the images in a simple four-quadrant contrast format, without any Japanese report text, charts, government-style boxes, or any additional explanatory text besides the four orange labels.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

5
Variable
store type
Default
Modern Eyewear Boutique
Variable
top left label
Default
GPT-Image-2
Variable
top right label
Default
GPT-Image-1.5
Variable
bottom left label
Default
MAI Image 2 Efficient
Variable
bottom right label
Default
Flux.2 Flex

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