
Farewell and reunion information screens in high-speed rail stations
"Farewell and Reunion Information Screen in High-Speed Railway Station" combines a public information display with emotional narrative photography. There is a huge train timetable screen in the center of the screen, b…
Prompt
"Farewell and Reunion Information Screen in High-Speed Railway Station" combines a public information display with emotional narrative photography. There is a huge train timetable screen in the center of the screen, but there is an additional column of 'emotional states' next to the train destination, such as "anticipation/hesitancy/reluctance/finally meeting". The silhouettes of the crowd on the platform include moments such as hugging, waving, and standing silently. The screen UI is real and usable, and the overall look is like a cross between a news photography and a poetic poster, with a ratio of 16:9.
How to use this prompt
Read the complete Farewell and reunion information screens in high-speed rail stations 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=cmogxkk1200i3xt5goq7xlip0, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Farewell and reunion information screens in high-speed rail stations prompt best used for?
This prompt is best used for other 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.
