PROMPT RADAR / VIDEO视频叙事

Dreamina Seedance 2.5 is almost here! 🔥— today — while US rollout begin

Dreamina Seedance 2.5 is almost here! 🔥— today — while US rollout begins August 7. Graduating from "prompt-based guessing" to **"reference-driven creation"** — this brings the magnificent upgrade creators have been wai

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它为什么值得进入灵感库

先别急着照抄整段 Prompt:真正有用的是主体、空间和镜头之间的约束关系。 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

Dreamina Seedance 2.5 is almost here! 🔥— today — while US rollout begins August 7. Graduating from "prompt-based guessing" to **"reference-driven creation"** — this brings the magnificent upgrade creators have been waiting for. ✅ The entire integrated Seedance suite (2.5, 2.0, and upcoming generation models) lands exactly at its lowest-ever tier ✅ Dreamina goes beyond simply being the ideal platform for Seedance 2.5 — it truly is the most affordable way to run it, full-capacity, devoid of annoying add-ons What makes this release revolutionary? First video model to accept 50 multimodal references — funnel in characters, scenes, reference shots, and audio layers easily in one go. Cut out the endless prompt writing. 🎬 30-second native clips — visualize complete stories, never just rough fragments. Utilizing 2 extensions smoothly available in post-editing, plus a fascinating ultra-long mode scaling up to 3 minutes. ✂️ Professional editing — crisp 3D white model preview, solid green screen workflow, completely with Blender/Maya plugin support. 🌏 10+ languages — precise lip-sync and subtitles align perfectly. There are zero translation tools needed. Dreamina Seedance 2.5 is launching globally first on Dreamina — firmly holding the 2026 title as best AI video model for creators. Coming soon. Make magic with Seedance 2.0 today and dominate the workflow! #dreamina #dreaminapartner #seedance #dreaminaseedance25
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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:Dreamina Seedance 2.5 is almost here! 🔥— today — while US rollout begins August 7. Graduating from "prompt-based guessing" to **"reference-driven creation"** — this brings the magnificent upgrade creators have been wai
  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:MR LARK DAVIS 🚀📊 · 收录于 2026年8月2日

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