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古镇跑酷变装视频提示词

Prompt
写实古风跑酷变装。女主角 [@Image 1] 写实风格,肤色白皙,黑色波浪长发,黑色连衣裙,面部微汗,眼神犀利。15 秒一镜到底手持跟拍。
场景:黄昏古镇,湿润青石板路,冷暖色调交织。
动作逻辑:0-3 秒 跨越并翻过茶摊,随手扯过一件白衬衫披在身上,老板惊叫;3-6 秒 踩上推车后空翻,甩掉牛仔裤并落入蒸笼,强行夺走路人的马面裙,女孩摔倒;6-9 秒 沿栏杆滑行并穿上袖子,抢过银簪跪地盘发,老者看呆;9-12 秒 在狭窄巷弄墙面奔跑同时系腰带,夺走红色油纸伞并撞翻伞架,学徒被绊倒;12-15 秒 在桥顶定格,俯瞰人群,猛地撑开伞遮住面部,回眸眼神变得犀利。
质感:ARRI 电影级画质,物理风阻逻辑,极致的市井烟火气,路人的真实反应,暴力跑酷美学。
Category
Photography & Realism
Model
seedance-2.0
Views0
Source ID
2752
Published
Apr 6, 2026

Guide

About "古镇跑酷变装视频提示词"

What is this prompt for?

"古镇跑酷变装视频提示词" AI image prompt for seedance-2.0 (Photography & Realism). 这是一份为 Seedance 2.0 编写的详细提示词,用于生成 15 秒、一镜到底、手持跟拍的写实风格古风跑酷变装视频。提示词涵盖了角色设定、场景布置、具体的 3 秒动作序…

The full copyable prompt and example visuals above are ready for AI image generation or one-click recreate in Picva.

How to use this prompt

  1. Step 1

    Open the prompt detail

    Review the example visuals, category, and full prompt text for "古镇跑酷变装视频提示词".

  2. Step 2

    Copy the prompt

    Copy the prompt body from this page, or load it directly in Studio.

  3. Step 3

    Pick a model (seedance-2.0)

    Prefer seedance-2.0. If you switch models, keep subject and composition and tweak style terms.

  4. Step 4

    Generate and export

    Recreate the look in Picva, or export into your workflow for editing and publishing.

FAQ

What is the "古镇跑酷变装视频提示词" prompt?
It is an AI image-generation prompt for seedance-2.0 in the Photography & Realism category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists seedance-2.0. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.