
Melancholic Rainy Night Bus Portrait
A cinematic portrait of a woman leaning against a rain-speckled bus window at night with warm city bokeh reflections.
This is a gpt-image-2 prompt case for 人像角色. 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.
Prompt
Copy-ready prompt
Hyper-realistic cinematic portrait, the protagonist is a{argument name="subject" default="young women"} Sitting{argument name="setting" default="Bus windows covered in raindrops at night"} Beside her, her head rested gently against the glass. Her expression was melancholic and detached, her eyes slightly lowered, revealing a quiet sorrow and introspection. Her hair was casually tied into a messy bun, a few damp strands falling naturally across her face. Her skin had a natural, slightly moisturized texture, with subtle imperfections and realistic lines. She was wearing a…{argument name="clothing" default="Dark-colored plus-size coat or hoodie"} She wrapped herself tightly to ward off the cold. Raindrops clung to the car window beside her, reflecting warm golden and green hues from the blurred city lights outside. The soft glow of streetlights and passing vehicles shimmered through the glass, adding depth and atmosphere to the image. The lighting was understated yet emotional, the gentle warm light and soft shadows from the window outlining her face. The overall color tone was cinematic, with a muted orange hue and slightly lower saturation, giving it a film-like quality. A shallow depth of field was used, with the sharp focus on her face and a softly blurred background. The composition was intimate and slightly angled, as if captured in a fleeting moment. Style: Hyperrealistic, Cinematic, 85mm lens, f/1.8, Film Grain, Soft Light, Emotional Narrative, 8K Detail. Optional additional terms (if your tools support): "Rainy Night Aesthetics," "Cinematic Bus Interior," "Emotional Portrait Photography," "Emotional Lighting, Volumetric Lighting"Prompt variables
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