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Neon Cyberpunk Portrait preview image
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Neon Cyberpunk Portrait

A moody cinematic portrait featuring neon split-tone lighting and a sharp, luxury tech advertisement aesthetic.

This is a gpt-image-2 prompt case for Portrait & Character. 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

A melancholic portrait with a cinematic quality, the subject of which is a stylish woman.{argument name="subject" default="Men"} Wearing black sunglasses and a necklace{argument name="accessory" default="High-end headphones"} His expression was confident, his gaze slightly turned to one side. The dark studio background created a dramatic effect.{argument name="neon lighting" default="Cyan and magenta neon lights"} Color-coded light and shadow are projected onto the face. High-contrast shadows, glossy reflections on sunglasses and headphones, ultra-fine skin texture, a sharply defined jawline, and minimalist composition. Cyberpunk-style color grading, soft fog, fine film grain, 85mm lens, shallow depth of field, hyperrealism, high-tech advertising style, 4K resolution.

Prompt variables

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

3
Variable
subject
Default
Men
Variable
accessory
Default
High-end headphones
Variable
neon lighting
Default
Cyan and magenta neon lights

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.