PROMPT RADAR / VIDEO视频叙事
YOU CAN NOW DROP ANY IMAGE INTO CLAUDE AND IT TURNS IT INTO A CINEMATIC
YOU CAN NOW DROP ANY IMAGE INTO CLAUDE AND IT TURNS IT INTO A CINEMATIC MOTION VIDEO, PICKING THE RIGHT AI MODEL ON ITS OWN Not a still with a slow zoom. Real motion, multiple shots, the kind of clip you'd expect off an
@awp_Akira 934 热度 1.2 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。
01 / 原始方法
动作与镜头 Prompt
YOU CAN NOW DROP ANY IMAGE INTO CLAUDE AND IT TURNS IT INTO A CINEMATIC MOTION VIDEO, PICKING THE RIGHT AI MODEL ON ITS OWN Not a still with a slow zoom. Real motion, multiple shots, the kind of clip you'd expect off an editing timeline. You connect one thing to Claude called Higgsfield and it becomes a motion studio. Setup is a minute: open Customize, add a connector, paste the link, done. Then you just say "animate this image into a 10 second motion video." Here's the part people miss: Claude doesn't fire it blindly at one generator. It reads the job and chooses the tools itself. In the clip it literally said it would use Seedance 2.0 to keep the subject consistent and Kling 3.0 for cinematic multi-shot motion, then stitched several clips together. You didn't pick a model. You didn't learn anyone's settings. Claude did the thinking, Higgsfield did the rendering. That's the leap. You're not juggling five video tools anymore. You describe the outcome and one chat routes it to whichever model does that piece best. A single image becomes a launch clip, an ad, a scroll-stopper, in the time it takes to write one sentence. Comment "MCP" and I'll send you the exact connector link plus the one line I typed to make it run.
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:YOU CAN NOW DROP ANY IMAGE INTO CLAUDE AND IT TURNS IT INTO A CINEMATIC MOTION VIDEO, PICKING THE RIGHT AI MODEL ON ITS OWN Not a still with a slow zoom. Real motion, multiple shots, the kind of clip you'd expect off an
- 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 / Kling / Veo。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