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Jing'an Temple Line 2 Station Entrance

Jing'an Temple Line 2 Station Entrance
๐Ÿ“ Prompt Template
A realistic documentary-style photo of the entrance area inside [station name] on [subway line] in Shanghai Metro, viewed from a passenger's eye level while walking toward the fare gates. The scene is a wide indoor station concourse with a modern ceiling made of dark brown curved wooden slats and long linear white lights. In the center hangs a large dark overhead wayfinding sign with a green square route marker showing the number 2 and the text โ€œ2ๅท็บฟ / Line 2,โ€ the main station name โ€œ้™ๅฎ‰ๅฏบ็ซ™ / Jing'an Temple Station,โ€ and a service center icon with the bilingual text โ€œๆœๅŠกไธญๅฟƒ / Service Center.โ€ Below the sign are multiple stainless steel fare gates, with exactly 6 visible gate lanes in the foreground, some showing green arrow indicators and at least one showing a red no-entry symbol. Show a busy but orderly flow of commuters, around 10 to 15 adults in everyday autumn clothing, seen mostly from behind, walking into the station through the gates; include jackets, jeans, backpacks, shoulder bags, and neutral colors. On the left wall, include ticket or vending machines and another smaller green Line 2 sign. On the right wall, create a decorative white station wall with large black Chinese calligraphy reading โ€œ้™ๅฎ‰ๅฏบโ€ and subtle wave-like graphic lines, plus a small green Line 2 marker nearby. Materials should feel authentic: polished gray speckled stone floor, metallic columns, tiled walls, and realistic transit fixtures. Lighting is bright, even, and fluorescent, with a clean public-transport atmosphere. Compose it as a slightly wide-angle smartphone photo, centered on the overhead sign and gate area, highly realistic, candid, detailed, and true to an actual Shanghai metro station interior.
๐Ÿ’ก About This Prompt

This prompt generates a realistic smartphone-style photo of commuters entering Shanghai Metro Jing'an Temple Station on Line 2, suitable for transit, urban realism, or location-based scene generation.

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Metadata
Published Jun 12, 2026
Model
GPT Image 2 10 cr/run
Category
Architecture
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