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Chinese Metro Public Service Poster

Chinese Metro Public Service Poster AI Image Prompt

Prompt

Using REFERENCE_0, extract and faithfully recreate only the tourism poster artwork as a clean, flat, front-facing subway-ad poster. Remove the surrounding train interior, metal frame, glare, wrinkles, perspective skew, and reflections. Straighten the poster into a vertical 9:16 composition and enhance it into a polished print-ready public-service advertisement while preserving the same visual concept: hands forming a heart around the sun, green lotus scenery, distant pavilion, and the same green/yellow/white color scheme. Text: Keep the Chinese typography and hierarchy from the reference, making it sharp and legible. Use the top label 文明旅游, the main headline 每个人都是一道\n亮丽的风景线, the section heading 文明旅游行为公约, and the footer 中央文明办|国家旅游局. Recreate exactly 4 visible green bullet dots in the pledge area: 1 dot before the first line, 1 dot at the end of the first line, 1 dot before the second line, and 1 dot at the end of the second line. Include the small bottom-right code 京21110. Layout: Make the upper image area dominate the poster, with the headline centered over the hands. Add a clean white lower information panel separated by a slanted golden band, and a dark green footer strip at the bottom. Keep the design like an official Chinese metro public-interest poster, with no train surroundings, no frame, no watermark, and no extra text.

AI Image Content Analysis

Content: Structure: reference reconstruction + parameterized text + layout specification. Subject: hands forming heart around sun; scene: lotus and pavilion; color: green/yellow/white; 9:16 vertical; flat print style. Text includes variables; layout requires image dominance, centered headline, slanted golden divider, dark green footer.

Pros: Preserves reference core concept and supports text variable substitution, enabling batch generation with different copy.

Cons: Heavily dependent on reference image quality; vague details (e.g., golden band angle) may cause inaccurate AI reproduction.

Reference image: Directly relies on reference image (REFERENCE_0)

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