ImageGPT Image 2
Y2K Street-Fashion Collage
A dynamic multi-panel collage prompt in Y2K neon style, combining street photography with comic-book layout elements.

Prompt
Create a hyper-realistic Y2K street-fashion photo collage poster using my uploaded portrait only for facial identity, hairstyle, hairline, skin tone, and overall personal presence. Do not copy the clothing from the reference image. Choose a {argument name="outfit" default="stylish outfit that naturally suits my portrait and body proportions"}, but the character must wear shorts and clean white socks. Design the image as a dynamic multi-panel fashion collage on a {argument name="background" default="European city street background in daylight"}. Include one main full-body figure in the center or lower left, plus several tilted photo-frame panels showing different close-up and half-body expressions: one wink, one relaxed smile, one peace-sign pose, one close-up eye detail. Keep the same person consistent across all panels. Style: realistic street snapshot mixed with magazine/comic collage layout, {argument name="accent color" default="neon purple"} outlines around the figure and panels, glowing frame borders, abstract graffiti doodles, hand-drawn hearts and energetic stickers, but no readable text, no logo, no watermark. The background should feel like a real urban street with buildings, cars, pedestrians, and natural sunlight, slightly blurred for depth. The person should look real, not plastic, not anime, not doll-like. Preserve natural facial structure, real skin texture, realistic eyes, natural hair strands, believable lighting, and consistent shadows. The collage should feel trendy, playful, high-quality, and suitable for posting on X / InstagramHow to use this prompt
- 1Copy the prompt exactly, then paste it into your preferred model or Ideart project.
- 2Replace product, subject, audience, and style details with your own context.
- 3Generate one baseline result first, then remix the strongest direction into a campaign, image set, or video concept.
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