OpenZhenZhen AI Prompt Gallery · MiniMax H3 · video

Golden Coast Highway Journey

Golden Coast Highway Journey — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

Golden Coast Highway Journey — AI video creation
Golden Coast Highway Journey

Prompt

Chinese prompt

生成一段20秒、16:9画幅的写实电影感跟拍镜头:一辆复古红色汽车在黄金时刻沿海岸公路行驶。汽车平稳前行,海洋与峭壁沿公路一侧延展。温暖的阳光在路面投下长长的影子,以自然逼真的细节呈现海岸风光。加入真实的引擎声和海浪声。

English prompt

Create a 20-second, 16:9 realistic cinematic tracking shot of a vintage red car driving along a coastal highway at golden hour. Keep the car in smooth motion as ocean cliffs run beside the road. Warm sunlight casts long shadows across the highway; capture the coastal scenery with natural, lifelike detail. Include realistic engine and ocean sounds.

Topics and styles

View API model

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

  • Portrait of an Edwardian Sinister Hedgehog

    Portrait of an Edwardian Sinister Hedgehog — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Moonlight Vampire Roller Skating

    Moonlight Vampire Roller Skating — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Five-Dimensional Rift: Cloud Moonwalker

    Five-Dimensional Rift: Cloud Moonwalker — explore this MiniMax H3 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

  • Retro-Futuristic Bus Cinematic Scene

    Retro-Futuristic Bus Cinematic Scene — 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.