PROMPT RADAR / VIDEO视频叙事

THERE'S A SECOND SKILL EVERY GREAT AI VIDEO CREATOR HAS — AND ALMOST NOB

THERE'S A SECOND SKILL EVERY GREAT AI VIDEO CREATOR HAS — AND ALMOST NOBODY TALKS ABOUT IT Character consistency gets all the attention. Nobody mentions the other half of the problem — the one that makes a perfectly cons

@Primee32 1.2k 热度 1.5 万 浏览
编辑先看

它为什么值得进入灵感库

先别急着照抄整段 Prompt:真正有用的是主体、空间和镜头之间的约束关系。 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

THERE'S A SECOND SKILL EVERY GREAT AI VIDEO CREATOR HAS — AND ALMOST NOBODY TALKS ABOUT IT Character consistency gets all the attention. Nobody mentions the other half of the problem — the one that makes a perfectly consistent character still look like a slideshow instead of a scene. The secret is camera vocabulary. The creators whose sequences actually feel directed aren't writing better character prompts than you. They're issuing real camera instructions instead of vague ones — and most people never learn the difference. There's a free reference that makes this fast to fix: aicameramovements,com It's not a generation tool, it's a vocabulary bank — every camera move broken down into name, description, speed, framing, and exactly how the shot should end. Whip pan left, tilt up, crash zoom out, dolly in, truck right — each one with a ready-to-copy prompt attached. What actually changes once you use real terms instead of vague ones: - "Camera moves closer" becomes "dolly in — smooth controlled push, subject position consistent while distance closes, finish in a tighter composition" - "Fast cut to wide" becomes "crash zoom out — snap the lens rapidly away, land on a bold wider composition" - Seedance stops guessing your intent because you're no longer describing a feeling, you're issuing a direction Why this matters for anything built with a character sheet or grid: - A locked character still reads as static if every shot uses the same vague "camera moves" instruction - Real shot vocabulary is what turns a consistent character into a directed sequence, not just a slideshow of correct faces - Once you know the terms, you can assign a specific move to each panel in your storyboard instead of leaving pacing to chance If your sequences hold together but still feel flat, this is probably why. It was never just the character sheet. It's the camera language you pair it with. (h/t @NexlowX for the original find)
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:THERE'S A SECOND SKILL EVERY GREAT AI VIDEO CREATOR HAS — AND ALMOST NOBODY TALKS ABOUT IT Character consistency gets all the attention. Nobody mentions the other half of the problem — the one that makes a perfectly cons
  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:Primee32 · 收录于 2026年7月15日

访问原始来源

沿着这条线继续看