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3D立体书插画
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3D立体书插画

Prompt
A 3D pop-up book illustration featuring a [subject], with layered paper elements unfolding into a miniature scene. Soft lighting, textured paper surfaces, playful handcrafted look, pastel [color1] and [color2] palette, viewed from a slight angle to show depth and detail.
一幅以[主题]为主题的3D立体书插画,层叠的纸质元素展开成一个微缩场景。柔和的光线、纹理丰富的纸张表面、充满趣味的手工质感,以及柔和的[颜色1]和[颜色2]色调,从略微倾斜的角度观看,展现出层次感和细节。
Category
Illustration & Art
Model
Unknown
Views1
Source ID
3d-pop-up-book-illustration

Guide

About "3D立体书插画"

What is this prompt for?

"3D立体书插画" AI image prompt for Unknown (Illustration & Art). A 3D pop-up book illustration featuring a [subject], with layered paper elements unfolding into a m…

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 "3D立体书插画".

  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 (Unknown)

    Prefer Unknown. 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 "3D立体书插画" prompt?
It is an AI image-generation prompt for Unknown in the Illustration & Art 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 Unknown. 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.