PROMPT RADAR / VIDEO视频叙事

I used @seedance 2.5 to create this AI rap music video. One thing I noti

I used @seedance 2.5 to create this AI rap music video. One thing I noticed during testing was that I spent less time regenerating shots. I got the result on the second attempt. I was getting usable results more consiste

@ZaraIrahh 1.4k 热度 3.0 万 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

I used @seedance 2.5 to create this AI rap music video. One thing I noticed during testing was that I spent less time regenerating shots. I got the result on the second attempt. I was getting usable results more consistently, which made the workflow feel faster and more cost-effective. The authenticity struck me profoundly, Seedance 2.5 captures micro‑expressions and subtle eye shifts that feel unscripted — the kind of nuance that usually gets lost in AI, but here makes every frame read as a real performance. The 30-second generation made the creative process feel much more natural. The motion, lighting, and camera movement felt more natural, making it easier to focus on storytelling instead of fixing every scene. I can also see how pairing it with SeedAudio would make the overall AI music video workflow even more seamless. Support for multimodal references and localized editing helped keep the visuals consistent while making refinements much easier. Overall, Seedance 2.5 feels less like a shot generator and more like a creative tool for cinematic storytelling and music videos. Seedance 2.5 API is about to launch on @BytePlusGlobal, and @lumina_ai_aiart will also roll out Seedance 2.5 soon
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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。

  1. 主体:I used @seedance 2.5 to create this AI rap music video. One thing I noticed during testing was that I spent less time regenerating shots. I got the result on the second attempt. I was getting usable results more consiste
  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

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

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:Zara · 收录于 2026年8月6日

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