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0点赞0浏览2026年8月9日

Create a cinematic surveillance-thriller image set inside a massive multi-level underground metro station. The camera should feel like a ceiling-mounted CCTV positioned high above at roughly a 40-degree angle, looking down over a long industrial escalator and the complex architecture of the station. The composition should use a 4:5 vertical frame, with the escalator cutting diagonally through the image to create strong depth and scale. The station is crowded with hundreds of commuters moving in both directions, forming a chaotic flow of people with subtle motion blur. At the center of the frame, a single person matching the uploaded reference image is descending the escalator. The subject appears to be moving quickly, slightly leaning forward. One hand holds the escalator handrail for balance, while the other carries a small glossy black mini bag with realistic reflections. At a dramatic moment, the subject suddenly turns their head over their shoulder and looks directly into the camera, creating an intense fourth-wall-breaking moment, as if they know they are being watched. Add a realistic CCTV interface overlay, including: Live recording indicators Timestamp and camera ID A facial-tracking square locked onto the subject A secondary zoomed-in facial recognition panel in one corner Minimal technical HUD elements and surveillance graphics Lighting should be cold and fluorescent, typical of a modern subway station, with realistic reflections on the metallic escalator surfaces and polished handrails. Keep the surrounding crowd slightly blurred while the subject remains sharp and in focus. Overall mood: high-end documentary surveillance thriller, ultra-photorealistic, cinematic composition, realistic skin textures, natural crowd behavior, detailed environmental reflections, and professional movie-grade realism.

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媒体类型: 图片提示词
任务类型: Text To Image
尺寸: 960 × 1200
画面比例: 4:5

模型: gpt-image-2
分类: ad creative

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提示词详情：Create a cinematic surveillance-thriller image set inside a massive multi-level underground metr

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