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动漫风格街头偶遇转场视频 (Seedance 2.0)

Prompt
动漫风格，第一人称视角。我走在熙熙攘攘的街道上，不小心轻轻撞到了前面的女孩。她缓缓转过头，紫色的双马尾随着动作轻轻扬起，发梢带着柔和的光泽。她的绿色眼睛如同阳光照耀下的翡翠，清澈明亮。

她长长的睫毛轻轻颤动，侧脸干净柔和。她抬眼的那一刻，清澈而惊艳。我（男性）用日语对女孩说：“对不起！我不是故意的。”

女孩说：“没关系~”，下方配有字幕。

身后的街道是暖色调的，招牌灯光朦胧，微风轻拂，让她整个人看起来就像从动漫里走出来一样，温柔而耀眼。背景音乐在女孩转身的那一刻完美响起。
Category
Architecture & Spaces
Model
seedance-2.0
Creator
李岳
Views0
Source ID
712
Published
Feb 28, 2026
Studio
App
RoutebookSkills

Guide

About "动漫风格街头偶遇转场视频 (Seedance 2.0)"

What is this prompt for?

"动漫风格街头偶遇转场视频 (Seedance 2.0)" AI image prompt for seedance-2.0 (Architecture & Spaces). 为 Seedance 2.0 生成一个提示，内容是关于在熙熙攘攘的街道上偶然相遇的第一人称动漫风格视频片段。场景包括撞到一个女孩，她转身，以及…

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 "动漫风格街头偶遇转场视频 (Seedance 2.0)".

  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 "动漫风格街头偶遇转场视频 (Seedance 2.0)" prompt?
It is an AI image-generation prompt for seedance-2.0 in the Architecture & Spaces 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.