Cinematic City Explosion Chase

Cinematic City Explosion Chase

Original document

GPT Image 2 · en

A cinematic, realistic action scene, set against the backdrop of a rain-soaked downtown canyon, showcases {argument name="main subject" default="A dark-haired man in his 30s"} A man runs directly towards the camera in the center of the foreground, his expression tense and driven by a will to survive. He wears a soaked dark jacket, dark shirt, and dark trousers, and is in a stride, one arm swinging forward. Behind him, a massive urban explosion tears apart streets and the lower facades of high-rise buildings, spewing huge plumes of smoke, flames, dust, shattered concrete, glass, and metal fragments in all directions. The scene includes three clearly visible damaged vehicles: a dark sedan with its headlights on, dented hood, and splashing rainwater in the left foreground; a dark car with severe front-end damage in the right mid-ground; and a black SUV tilted upwards, overturned, or airborne in the right rear. The wet asphalt reflects the headlights, flames, and gray skyscrapers. Dense debris fills the air, and fragments of rock appear frozen in motion. The gloomy, torrential rain, the desaturated blue-gray tones paired with orange flames, the splashing debris with dramatic motion blur, yet the running figures remain sharp and in focus. The low-angle, wide-angle composition creates a disaster-movie-like realism, with ultra-fine textures, high contrast, dynamic depth of field, volumetric smoke, rain splashes, and cinematic lighting. Add a white [object] to the upper right corner.{argument name="watermark text" default="Pollo.ai"} Logo.

How to use

  1. Copy the complete original prompt, including any parameters.
  2. Replace the subject, text and composition with your own requirements.
  3. Use a compatible external tool; check its current access conditions and review the result.

Before you start

  • Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
  • Keep names, figures and visible text accurate; results can vary between model versions.

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