PROMPT RADAR / VIDEO视频叙事
How to get 100% consistent product ads from one seedance 2.0 generation
How to get 100% consistent product ads from one seedance 2.0 generation all directed from one chat with the hashtag Comfy MCP. @hellorob didn't let the agent improvise a pipeline. He pointed it at his existing ComfyUI wo
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编辑先看
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。
01 / 原始方法
动作与镜头 Prompt
How to get 100% consistent product ads from one seedance 2.0 generation all directed from one chat with the hashtag Comfy MCP. @hellorob didn't let the agent improvise a pipeline. He pointed it at his existing ComfyUI workflows ( listed below ) and directed every shot: the sprite close-up, the bezel turn, the display flip, and the display changing to the time 10:04. The consistency secret is the driving video: → DepthAnything V3 pass blended with Canny edge lines — fine detail like the tiny debossed logo survives every gen → The original sprite outline kept leaking through those edge lines, so Claude suggested a SAM3 mask over the screen to kill it → With the screen masked, swapping in a new star sprite is just prompting: one GPT-Image-2 reference still + one line in the Seedance prompt And the entire process is now a reusable Claude skill.
02 / 复刻路径
不要一次改完所有变量
用 GPT Image 2 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：How to get 100% consistent product ads from one seedance 2.0 generation all directed from one chat with the hashtag Comfy MCP. @hellorob didn't let the agent improvise a pipeline. He pointed it at his existing ComfyUI wo
- 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
GPT Image 2 / 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