
Korean Celebrity Style Collage Poster
A professional grid-layout collage prompt that maintains high facial identity consistency across different fashion looks and backgrounds.
This is a gpt-image-2 prompt case for 人像角色. 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.
Prompt
Copy-ready prompt
Use reference image. Hyper-realistic 1:1 Korean star style collage poster, containing the same {argument name="subject" default="Young and fashionable Korean men"} The image appears repeatedly in eight different square panels arranged in a neat grid layout. Each panel depicts the same person with consistent facial features, bone structure, eyes, hairstyle, skin tone, and age. Each panel features different fashion styles, hairstyles, expressions, poses, and {argument name="clothing style" default="Brightly colored"} clothing.{argument name="background colors" default="Bright orange, red, pink, yellow and blue"} Gradient background. High-end entertainment program poster aesthetics. Cinematic studio lighting, sharp focus, glossy skin texture, vibrant fashion styling, expressive emotions, magazine-quality photography. The center panel contains only a realistic retro microphone stand. No text, no logos, no typography, no watermarks. Highly unified composition, balanced spacing, luxurious Korean TV program promotional design, ultra-detailed, photorealistic, editorial fashion photography. Each panel features the same person with highly consistent facial features, multiple costume character lists, unified facial features, and consistent character seeding.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
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Reuse and source notes
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- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
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Where does this case come from?
This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.