Golden Guangzhou City Goddess Poster
GPT Image 2 golden Guangzhou city goddess poster with flowing golden hair merging into skyline
Prompt
Create a vertical fantasy city poster for Guangzhou, China. At the bottom of the composition, a beautiful ethereal woman with flowing white-golden hair holds a bouquet of colorful flowers, eyes closed peacefully. Her long hair transforms into swirling golden energy ribbons that rise upward, carrying glowing particles and sparkles. The golden streams merge into the illuminated Guangzhou skyline at the top, featuring the Canton Tower and modern skyscrapers glowing warmly against a deep black-red night sky. Add the text "广州·中国" and "2026/04/20" in elegant white typography at the upper right, with "LIYUE" as a small credit below. Rich warm golden palette with deep crimson and black contrast, magical realism style, cinematic lighting, vertical 9:16 ratio.
How to use this prompt
Read the complete Golden Guangzhou City Goddess Poster prompt and identify the subject, style, camera, lighting, and composition requirements before generating.
Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.
Open https://www.gptimagehub.com/generate?promptId=cmqf0ptec000h13a77vqlf6ob, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Golden Guangzhou City Goddess 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.