PROMPT RADAR / VIDEO视频叙事
Stickman channels are pulling millions of views and you can make this co
Stickman channels are pulling millions of views and you can make this content with zero animation skills Here is the full workflow 1 ChatGPT generates the idea script and prompts for every scene 2 Google Flow and Nano Ba
@Durektor97 934 热度 9.7k 浏览
编辑先看
它为什么值得进入灵感库
这条内容值得留下的，不是表面的风格词，而是它提供了一条可以继续实验的画面路径。 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
Stickman channels are pulling millions of views and you can make this content with zero animation skills Here is the full workflow 1 ChatGPT generates the idea script and prompts for every scene 2 Google Flow and Nano Banana 2 create the visual base for each scene 3 Veo 3.1 Fast turns images into cinematic video clips 4 CapCut assembles all scenes into a finished video The secret to smooth continuity save the last frame of each clip and use it as the starting point for the next scene The stickman niche is fully monetized on YouTube TikTok and Instagram Reels No animation skills No team Just AI and a repeatable system
02 / 复刻路径
不要一次改完所有变量
用 Veo 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：Stickman channels are pulling millions of views and you can make this content with zero animation skills Here is the full workflow 1 ChatGPT generates the idea script and prompts for every scene 2 Google Flow and Nano Ba
- 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
Veo / Seedance / 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