PROMPT RADAR / VIDEO视频叙事
9 ugly sketches perfect prompt The secret behind the best AI videos righ
9 ugly sketches > perfect prompt The secret behind the best AI videos right now The bottom half of this video matters more than the polished animation on top Nine rough, ugly sketches are secretly controlling everything:
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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。
01 / 原始方法
动作与镜头 Prompt
9 ugly sketches > perfect prompt The secret behind the best AI videos right now The bottom half of this video matters more than the polished animation on top Nine rough, ugly sketches are secretly controlling everything: character, camera, timing, and emotion Rewatch it from the bottom up: pour → turn → close-up → latte reveal The model isn’t inventing a random coffee clip. It’s faithfully executing a real storyboard frame by frame Storyboards used to be instructions for a film crew. Now they become the crew Stop writing one giant prompt Plan nine frames instead.Tested on GPT-5.6 + Ciadens 2.0 — the difference is massive Save this approach Your next video made with 9 frames will feel noticeably more stable, cinematic, and controllable than anything you’ve generated before Who’s already trying the storyboard method? Drop your results in the comment👇
02 / 复刻路径
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。
- 主体：9 ugly sketches > perfect prompt The secret behind the best AI videos right now The bottom half of this video matters more than the polished animation on top Nine rough, ugly sketches are secretly controlling everything:
- 视觉方向：实时 AI 视频案例；查看原帖媒体与作者说明
- 镜头与构图：按原帖镜头流程执行；查看原帖媒体与工作流
- 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