Prompt/Image Similar

18

传统戏曲造型草图
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Photography & RealismYouMindgpt-image-2photography-realism摄影与写实

传统戏曲造型草图

Prompt
生成一张“纸上现实：戏曲妆造草图”风格的图像，比例为 4:5 竖屏。

主题为 [{argument name="theme" default="京剧旦角"}]。画面描绘了一张米色的传统戏曲服装设计稿，被固定在木质画板上，放置于暖色调的木制工作台上。一位写实的中国成年女性自然地从纸面浮现，营造出“纸上人物跃然而出”的视觉效果。
Category
Photography & Realism
Model
GPT Image 2
Creator
Larus Canus
Source language
zh-CN
Views0
Source ID
27186
Published
Jun 29, 2026
Studio
AppSource
Routebook

Guide

About "传统戏曲造型草图"

What is this prompt for?

"传统戏曲造型草图" AI image prompt for GPT Image 2 (Photography & Realism). 在项目上生成一张传统戏曲服装设计草图的视觉效果，呈现出写实角色从纸面跃然而出的画面。 Copy it on Picva and recreate the look in one cl…

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 "传统戏曲造型草图".

  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 (GPT Image 2)

    Prefer GPT Image 2. 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 "传统戏曲造型草图" prompt?
It is an AI image-generation prompt for GPT Image 2 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 GPT Image 2. 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.