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A cinematic night street scene in heavy rain, shot from outside a car with a close three-quarter view of the … - AI prompt reference from CC Prompt Galaxy

Cinematic Rainy Night, Melancholic Woman AI Image Prompt

Prompt

A cinematic night street scene in heavy rain, shot from outside a car with a close three-quarter view of the rear side window. A young woman with {argument name="hair color" default="dark brown"} shoulder-length wet hair leans her folded arms on the open car window frame and rests her head on them, gazing outward with a quiet, melancholic mood. She wears a {argument name="top color" default="white"} long-sleeve blouse. The car body fills the right half of the frame, covered in dense sparkling raindrops, with the window trim and door surface sharply detailed. The woman’s face is partially obscured by shadow and framing, creating anonymity and mystery. The left half of the image shows an out-of-focus city street with exactly 2 warm amber streetlights visible as glowing orbs near the top and middle distance, plus multicolored bokeh from traffic and signage in red, blue, white, and orange. Wet asphalt reflects the lights in long streaks. Visible rain streaks fall through the scene. Use a shallow depth of field, strong orange-and-teal color contrast, glossy reflections, moody noir atmosphere, realistic photography, high contrast, soft filmic bloom, and a slightly overprocessed AI-photo feel with occasional high-frequency sparkle and rain noise. Square composition.

AI Image Content Analysis

Content: Structure: Subject (young woman) + Scene (rainy night street) + View (outside car, rear side window, close 3/4) + Composition (square, car right half, street left half out-of-focus) + Style (cinematic/noir/realistic photography) + Lighting (orange-teal contrast, glossy reflections, high contrast, soft bloom) + Details (raindrops, wet hair, wet asphalt reflections) + Lens (shallow depth of field) + Parameters (hair color/shirt color)

Pros: Rich details with strong mood; explicit color and lighting design

Cons: Overly specific may reduce generation consistency; requires user input for parameters

Reference image: No obvious reference-image dependency

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