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复古动漫风格:龙的挠痒痒故事

Prompt
采用复古动漫风格。一条龙将一个孩子举过头顶,准备将其扔出;然而,一只漂浮的白色魔法手套突然凭空出现,让龙大吃一惊。它目不转睛地盯着这只戴着手套的手,看着它慢慢伸向自己的腋下。镜头拉近特写,展示手套用灵活、扭动的手指挠着龙的腋窝;动作轻柔流畅,并伴有滑稽的音效。当指尖触碰到腋窝的瞬间,龙的表情变得极其滑稽——双眼紧闭,嘴巴咧开大笑,发出闷声的咯咯笑声。手套继续挠痒,龙爆发出一阵大笑;它突然松开孩子,紧紧抱住自己,试图止住那持续不断的痒感和笑意。随着手套消失,龙终于平静下来;它对刚才发生的事情感到困惑,又因为觉得对手“作弊”而感到恼火,随即将怒火重新转向那个孩子。配音语言为日语。龙的声音深沉而浑厚。
Category
Photography & Realism
Model
seedance-2.0
Creator
migrok
Views0
Source ID
5376
Published
May 28, 2026

Guide

About "复古动漫风格:龙的挠痒痒故事"

What is this prompt for?

"复古动漫风格:龙的挠痒痒故事" AI image prompt for seedance-2.0 (Photography & Realism). 一个独特的复古动漫风格视频叙事提示词,包含龙与魔法手套的互动,以及详细的角色反应和音效提示。 Copy it on Picva and recreate the loo…

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 "复古动漫风格:龙的挠痒痒故事".

  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 "复古动漫风格:龙的挠痒痒故事" 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.