PROMPT RADAR / VIDEO视频叙事

This looks less like AI, and more like the opening scene of a $200M acti

This looks less like AI, and more like the opening scene of a $200M action movie. Built entirely with Seedance 2.0 on @thankyouai_hq The realism, camera movement, and cinematic action are reaching a whole new level. 🎁 G

@ShamiWeb3 1.5k 热度 3.5 万 浏览
编辑先看

它为什么值得进入灵感库

它最有价值的部分,是把一个模糊想法推进到了可以被模型执行的程度。 把一段描述拆成起始状态、动作变化、镜头响应和结束画面,连续性比形容词更重要。

动作与镜头 Prompt

This looks less like AI, and more like the opening scene of a $200M action movie. Built entirely with Seedance 2.0 on @thankyouai_hq The realism, camera movement, and cinematic action are reaching a whole new level. 🎁 Give it a try yourself? Grab my invite code LVEKVO → and unlock 100 FREE credits to start creating your own AI videos. First 99 people only—don't miss it. Full prompt is dropped in the comments 👇
查看原作者内容

不要一次改完所有变量

用 Seedance 复刻时,建议先单独生成稳定首帧,再把动作拆成“开始、变化、收束”三段;每段只保留一个主要运动。

  1. 主体:This looks less like AI, and more like the opening scene of a $200M action movie. Built entirely with Seedance 2.0 on @thankyouai_hq The realism, camera movement, and cinematic action are reaching a whole new level. 🎁 G
  2. 视觉方向:实时 AI 视频案例;查看原帖媒体与作者说明
  3. 镜头与构图:按原帖镜头流程执行;查看原帖媒体与工作流
  4. 交付约束:auto,保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。
负向约束

保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。

模型建议

Seedance / Veo / Kling。先用原始 Prompt 建立基准结果,再根据模型对自然语言、镜头运动或文字排版的能力做局部改写。

来源与编辑原则

保留作者,也保留判断。

本页收录公开案例并提供中文索引、结构化拆解和复刻建议,不冒充原作者作品,也不替代原帖上下文。

作者:Shami · 收录于 2026年7月26日

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