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Cinematic Night Bus Window Portrait preview image
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Cinematic Night Bus Window Portrait

Generates a moody low-light film-style image of a passenger by a neon-lit bus window with a single square face censor.

This is a gpt-image-2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Create a cinematic, grainy nighttime photograph taken from inside a city bus or tram, looking out through a rain-drenched, reflected window. The image should have a 35mm film quality, with shallow depth of field, strong bokeh, and melancholic neon lights composed of deep blue, cyan, red, and warm white. On the left and in the background, show the blurred streetlights and traffic lights outside the window. The upper left includes a softly glowing cyan sign with blurred text. Place [something] in the center right.{argument name="subject" default="A seated passenger"} Partial silhouettes are positioned near the car window, mostly hidden in darkness and reflections. A large, opaque square obscuring the passenger's face is used, with only one visible obscuring element, positioned slightly to the right center, in a deep charcoal gray with a subtle vertical gradient from a navy blue at the top to almost black. The composition is a wide 16:9 horizontal format, with the left half dominated by the car window reflection and colored light spots, while the right half is darker, containing the window frame and the passenger silhouette. A realistic low-light photography style is employed, with soft focus, visible film grain, gentle contrast, no sharp text, and no watermark, creating an introspective, late-night urban atmosphere.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

1
Variable
subject
Default
A seated passenger

Reuse and source notes

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Where does this case come from?

This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.