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Guangzhou Paper Cut City Poster
Poster & Illustration

Guangzhou Paper Cut City Poster

GPT Image 2 Guangzhou paper-cut city poster sample

Prompt

Paper-cut art inspired by the modern urban landscape of Zhujiang New Town, using intricate cutout techniques on a single sheet to create a three-dimensional depiction of landmark buildings such as Canton Tower and the East-West Twin Towers, along with the bustling cityscape. All buildings and elements are connected by flowing lines and structures with no isolated parts, forming a complete urban tableau. The piece uses metallic foil or glossy paper material with delicate light-and-shadow luster on the surface, presenting soft highlights and shadows under illumination as if gently lit by city lights. The background features a blurred skyline backdrop, accented with faintly visible plazas and tree silhouettes. The work artfully incorporates weightless dandelion wisps or starlight-like dynamic light particles, symbolizing dreams and vitality. The overall visual is rendered in 8K ultra-high definition with rich detail, realistic yet deeply artistically expressive.

How to use this prompt

1
Review the full prompt

Read the complete Guangzhou Paper Cut City Poster prompt and identify the subject, style, camera, lighting, and composition requirements before generating.

2
Customize variables

Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.

3
Generate and iterate

Open https://www.gptimagehub.com/generate?promptId=cmqf0qe2y001313a7mh52mmf9, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.

Prompt FAQ

What is the Guangzhou Paper Cut City Poster prompt best used for?

This prompt is best used for poster & illustration images where you want a reusable structure, detailed visual direction, and consistent output quality.

Can I edit the prompt before generating?

Yes. The full prompt text is visible on this page so you can change subjects, product names, colors, composition, camera terms, aspect ratio, and style notes before generation.

Which model should I use with this prompt?

Use the model shown in the prompt metadata as the default starting point. If another image model supports the same aspect ratio and instruction style, you can adapt the prompt and compare results.

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