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Editorial Streetwear Lifestyle Merch preview image
Primary reference image
gpt-image-2 caseFashion & BeautyMulti Image to Image1 ref

Editorial Streetwear Lifestyle Merch

A detailed prompt for generating high-end streetwear fashion photography featuring custom merch, designed to look like a film-shot editorial spread with flash photography.

This is a gpt-image-2 prompt case for Fashion & Beauty. 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.

This prompt is designed for multiple reference images. We will open Dovoo with the prompt and the available preview image; add the remaining references in Dovoo before generating.

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Prompt

Copy-ready prompt

Generate a 16:9 image to display several {argument name="models" default="models"} Clothing based on recent{argument name="brand" default="framer"} Limited edition streetwear shirts and merchandise released. Multiple images available for reference.{argument name="reference URL" default="https://framer.com"} The images should have a film-shot editing style, a street-style fashion editorial feel, and include flash photography effects.

Prompt variables

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

3
Variable
models
Default
models
Variable
brand
Default
framer
Variable
reference URL
Default
https://framer.com

Reuse and source notes

Use this prompt safely after previewing the case.

  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is unknown. Review the original source, license, brand constraints, and legal requirements before paid usage.

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.