PROMPT RADAR / VIDEO视频叙事

GOOGLE JUST GAVE EVERYONE THE EXACT PLAYBOOK FOR BUILDING AN AI INFLUENC

GOOGLE JUST GAVE EVERYONE THE EXACT PLAYBOOK FOR BUILDING AN AI INFLUENCER FROM ZERO Nobody tells you this but the entire identity locks in from one reference image, everything after that is just swapping outfits and sce

@Mavernxbt 1.1k 热度 6.5k 浏览
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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。

动作与镜头 Prompt

GOOGLE JUST GAVE EVERYONE THE EXACT PLAYBOOK FOR BUILDING AN AI INFLUENCER FROM ZERO Nobody tells you this but the entire identity locks in from one reference image, everything after that is just swapping outfits and scenes. One prompt → a fully consistent AI influencer with images, video, and speech. Here are the timestamps that broke my feed: 1:03 - Describe hair, age, nationality, clothing, and pose through ChatGPT before touching any tool 3:40 - Generate your base image using Nano Banana Pro inside Open Art 5:56 - Upload the base image as a visual reference to lock the identity in 6:44 - Tag image one directly in the prompt so every new scene keeps the same face 9:16 - Turn any image into video with one click, no re-uploading required 12:19 - Cling 3.0 generates a full moving video straight from the image 14:53 - Make her speak naturally with exact scripted dialogue in quotation marks 15:55 - Compare Cling 3.0 versus Veo 3.1 lip sync side by side This isn't just image generation anymore. This is a full AI influencer pipeline running on one prompt from zero to a talking, moving character. Same face locked from image one. That's the entire trick nobody explains. Already testing this workflow? Drop your results below Follow @Mavernxbt for the full prompt breakdown and exact workflow
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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。

  1. 主体:GOOGLE JUST GAVE EVERYONE THE EXACT PLAYBOOK FOR BUILDING AN AI INFLUENCER FROM ZERO Nobody tells you this but the entire identity locks in from one reference image, everything after that is just swapping outfits and sce
  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

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

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:Mavern · 收录于 2026年7月29日

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