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CCTV 时尚街拍海报
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CCTV 时尚街拍海报

Prompt
Create a 4:5 vertical high-end tactical surveillance street photography poster, resolution feel 1440×1920, showing a single fashionable woman captured from a high-angle CCTV perspective on a city sidewalk. The subject is {argument name="subject description" default="a young woman with long wavy dark brown hair, wearing a fitted cream cropped cardigan, gray pleated mini skirt with belt details, sheer black tights, pointed black high heels, and a black chain-strap shoulder bag"}. Preserve a candid urban street-snapshot feeling rather than a glamorous editorial look. The main full-body figure stands slightly left of center, walking or pausing under strong late-afternoon sunlight, one hand near her hair, long shadow stretching diagonally across gray paving stones, with dark glass storefronts and concrete walls in the background. Obscure the face with a soft square blur/mosaic privacy block.

Overlay a dark CCTV/data-visualization interface in muted red. Use thin red tracking lines, corner brackets, scanline texture, subtle grain, vignette, and compressed surveillance-camera contrast. Add exactly 3 right-side zoom-in panels with red borders connected to the main figure by thin red lines: 1 upper panel close-up of the head and upper chest with face blurred and small red ID text “#83575//”; 2 middle panel crop of torso, skirt, waist, bag, and hand with small red ID text “#25747//”; 3 lower panel crop of legs and pointed heels on the pavement with a small red targeting cross near the shoes. Keep all three panels stacked vertically on the right.

Add visible surveillance HUD text and graphics: top left red dot and “REC”, beneath it a timestamp {argument name="timestamp" default="17:42:31:09"}; top right “CAM-07” and larger red “CCVW”; left side a vertical measurement scale marked 00 through 05; lower left label {argument name="tracking label" default="TR521"}; bottom left date {argument name="date" default="18/02"}; bottom band filled with red barcode-like blocks, waveform bars, small square indicators, a central circular crosshair/radar element, and thin horizontal data lines. Use a blackened vignette around the edges, red UI elements only, no other bright colors, no watermark, no extra people, no readable brand logos, and maintain a cold feeling of being watched by the city while the outfit remains stylish.
Category
UI & Interfaces
Model
GPT Image 2
Creator
serein
Source language
en
Views0
Source ID
26263
Published
Jun 19, 2026
Studio

Guide

About "CCTV 时尚街拍海报"

What is this prompt for?

"CCTV 时尚街拍海报" AI image prompt for GPT Image 2 (UI & Interfaces). 生成一张高角度监控风格的城市时尚海报,带有红色追踪 HUD 叠加层和三个局部放大细节面板。 Copy it on Picva and recreate the look in one cl…

The full copyable prompt and example visuals above are ready for AI image generation or one-click recreate in Picva.

How to use this prompt

  1. Step 1

    Open the prompt detail

    Review the example visuals, category, and full prompt text for "CCTV 时尚街拍海报".

  2. Step 2

    Copy the prompt

    Copy the prompt body from this page, or load it directly in Studio.

  3. Step 3

    Pick a model (GPT Image 2)

    Prefer GPT Image 2. If you switch models, keep subject and composition and tweak style terms.

  4. Step 4

    Generate and export

    Recreate the look in Picva, or export into your workflow for editing and publishing.

FAQ

What is the "CCTV 时尚街拍海报" prompt?
It is an AI image-generation prompt for GPT Image 2 in the UI & Interfaces category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists GPT Image 2. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.