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Neon Multi-Panel Fashion Collage preview image
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Neon Multi-Panel Fashion Collage

A dynamic five-panel portrait collage prompt featuring the same subject with varying outfits and hairstyles against vibrant neon backgrounds.

This is a gpt-image-2 prompt case for 时尚美妆. 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

9:16 Vertical five-panel portrait collage, the main subject is {argument name="subject" default="The same young and beautiful woman"} Each panel focuses on a close-up of a face, and each panel features different clothing and hairstyles against a background of {argument name="background colors" default="Neon solid color background (fluorescent pink, bright red, lime green, bright yellow, electric blue)"} The lighting effect adopts{argument name="lighting" default="Avant-garde studio lighting"} Street fashion editorial style, rounded stacked layout, high contrast, and vibrant social media short video aesthetics.

Prompt variables

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

3
Variable
subject
Default
The same young and beautiful woman
Variable
background colors
Default
Neon solid color background (fluorescent pink, bright red, lime green, bright yellow, electric blue)
Variable
lighting
Default
Avant-garde studio lighting

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Reuse and source notes

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  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.