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Seedance 2.0 视频提示词：少女卧室自拍 Vlog

Prompt
卧室场景，充满少女气息。画面主体是一位超高颜值美女@【@Image 1】，身穿得体的冬季露肩装，扎着复古高马尾，留着侧边刘海。她娇小玲珑，散发出纯洁又令人向往的偶像气质，皮肤白皙，冷白皮。她嘟着嘴巴，摆出可爱的姿势，做出萌萌的表情。这张照片是用最新款 iPhone 拍摄的（不显示手机本体）。画面略带动态模糊，呈现随手抓拍的风格，仿佛不经意间捕捉，轻微曝光，画质高，特写镜头，颗粒感明显，Y2K 氛围滤镜。原始长宽比。美妆Vlog
Category
Architecture & Spaces
Model
seedance-2.0
Creator
Adam也叫吉米
Views0
Source ID
1647
Published
Mar 18, 2026
Studio
App
RoutebookSkills

Guide

About "Seedance 2.0 视频提示词：少女卧室自拍 Vlog"

What is this prompt for?

"Seedance 2.0 视频提示词：少女卧室自拍 Vlog" AI image prompt for seedance-2.0 (Architecture & Spaces). 一个用于 Seedance 2.0 的提示，生成一段以少女卧室为背景的自拍 Vlog 视频。它详细描述了拍摄对象的形象（高颜值亚洲美女，…

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 "Seedance 2.0 视频提示词：少女卧室自拍 Vlog".

  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 "Seedance 2.0 视频提示词：少女卧室自拍 Vlog" 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.