OpenZhenZhen AI Prompt Gallery · MiniMax H3 · video

Neon Rainy Night Intersection

Neon Rainy Night Intersection — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

Neon Rainy Night Intersection — AI video creation
Neon Rainy Night Intersection

Prompt

Chinese prompt

创作一段20秒的东京都市夜景电影感画面,画面比例为16:9。开场呈现繁忙人行横道的广角全景,随后平滑推进,靠近穿行在人群中的行人,最终抵达近景。霓虹灯光在湿润的街道上闪烁倒映,色彩缤纷、高耸的广告牌布满背景。采用高对比度和鲜艳的霓虹色彩,营造热闹、熙攘的氛围。

English prompt

Create a 20-second cinematic urban night scene in Tokyo, aspect ratio 16:9. Begin with a wide view of a bustling pedestrian crossing, then smoothly dolly in toward a close-up of pedestrians moving through the crowd. Neon lights shimmer in reflections across wet streets, while colorful towering billboards fill the background. Use high contrast, vivid neon colors, and a lively, densely populated atmosphere.

Topics and styles

View API model

Explore more AI image and video prompts · Try image generation · Try video generation · Create on the AI canvas

  • Amethyst Sky City

    Amethyst Sky City — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Big-Eyed Many-Legged Alien Caterpillar

    Big-Eyed Many-Legged Alien Caterpillar — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Screaming Pig in a Flesh Cocoon

    Screaming Pig in a Flesh Cocoon — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Pajama Robot on a Swing

    Pajama Robot on a Swing — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Rain-Soaked Tarmac Under the Moon

    Rain-Soaked Tarmac Under the Moon — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Burning Dystopian Town

    Burning Dystopian Town — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.