PROMPT RADAR / VIDEO视频叙事
Most AI video tools make you write prompts and hope the camera moves the
Most AI video tools make you write prompts and hope the camera moves the way you want. @magnific just dropped Seedance 2.5 with 3D motion control and it works completely different. > You place points in 3D space where yo
@thetripathi58 455 热度 8.9k 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。
01 / 原始方法
动作与镜头 Prompt
Most AI video tools make you write prompts and hope the camera moves the way you want. @magnific just dropped Seedance 2.5 with 3D motion control and it works completely different. > You place points in 3D space where you want the camera to go. > Connect them to create the exact path. > Add your reference videos. > The model follows that path. No more typing "camera slowly pans right" and getting random movement. You draw the camera path yourself like you're using actual video software. It handles 50 reference videos at once, makes 30-second clips, and lets you edit, extend, or boost to 4K without leaving. Works on Magnific, MCP, Spaces, Plugins, and their API.
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：Most AI video tools make you write prompts and hope the camera moves the way you want. @magnific just dropped Seedance 2.5 with 3D motion control and it works completely different. > You place points in 3D space where yo
- 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