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东京 K-pop 风格舞蹈 MV

Prompt
生成一段高质量、高能量的 K-pop 风格舞蹈 MV 片段,并注重镜头构图。使用动态追踪镜头,摄像机平滑地围绕主体进行 360 度环绕,并配合推拉镜头。画面聚焦于一位充满活力与青春气息的日本年轻女性,她正在优雅且充满爆发力地跳跃、旋转和演唱。她身着时尚的浅粉色百褶裙和白色短款毛衣,头发松散地编成辫子,并用丝带固定。场景设定在阳光明媚的东京公园,周围环绕着盛开的樱花树,花瓣如雪般飘落。视觉风格为电影级写实,采用唯美的高调日系色彩,并具有丰富的景深效果。画面的视觉节奏应与背景中欢快、快节奏的流行音乐精确同步。人物表情应生动、灿烂且愉悦,模拟自然的演唱口型。确保人物的舞蹈动作连贯、无跳帧,且随着摄像机的旋转,光影过渡自然。
Category
Photography & Realism
Model
seedance-2.0
Creator
John
Views1
Source ID
2303
Published
Mar 29, 2026

Guide

About "东京 K-pop 风格舞蹈 MV"

What is this prompt for?

"东京 K-pop 风格舞蹈 MV" AI image prompt for seedance-2.0 (Photography & Realism). 这是一份为 Seedance 2.0 编写的详细中文提示词,旨在生成一段高能量的 K-pop 风格舞蹈音乐视频片段。提示词明确了动态追踪镜头、360 度环绕运镜、身…

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 "东京 K-pop 风格舞蹈 MV".

  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 "东京 K-pop 风格舞蹈 MV" 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.