Cinematic City Crash Explosion
This prompt generates a realistic disaster-movie street scene with a fleeing man, flipping cars, and multiple explosions, useful for dramatic action artwork or AI image model comparisons.
This product prompt is a strong starting point when you need a composed GPT Image 2 result with a clear subject, visual structure, and reusable style direction.
Aspect ratio
1:1 or 4:5
Quality pass
Standard first, then high detail
Workflow
Start text-to-image, then rerun with one focused edit at a time.
Full GPT Image 2 prompt
English prompt
A cinematic ultra-realistic action scene on a rain-soaked urban street at dusk, showing a sudden multi-car crash and explosion in the middle of a modern city. In the foreground, one adult man with a blurred, indistinct face is running toward the camera between lanes, wearing a dark jacket and dark pants, his posture urgent and off-balance as if escaping danger. To his left is a dark gray sedan with headlights on, splashing through wet pavement. In the midground on the right, 2 wrecked cars are colliding: 1 silver sedan with its driver-side door open and 1 dark vehicle flipping upside down in midair, surrounded by shattered glass, torn metal, and flying debris. Count 2 visible fireballs in the background, one on the far left street and one large explosion on the right side, both sending sparks and black smoke into the sky. Show heavy smoke plumes rising above a dense downtown skyline of tall, slightly out-of-focus buildings. Include wet reflective asphalt, scattered car parts across the road, glowing streetlights, utility poles, overhead power lines, and a moody blue-gray storm atmosphere with orange firelight reflecting in puddles. Framing should be wide-angle and low to the street, with strong motion, dramatic perspective, cinematic depth of field, realistic physics, volumetric smoke, flying embers, and high-detail disaster-movie lighting. Add a white {argument name="watermark text" default="Pollo.ai"} watermark in the top-right corner.Related GPT Image 2 prompts
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