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传统中国青绿山水
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传统中国青绿山水

Prompt
中国传统青绿山水风格，新中式幻想插画，{argument name="场景" default="月夜仙境"}，竖版构图；

层峦叠嶂的青蓝色山峰，山体呈现宝石般通透发光质感，蓝绿色渐变，山脉边缘带细腻鎏金描边与金色点缀，山间云雾缭绕；

远处一轮巨大的明亮满月高悬天空，月光洒落群山与河流；

前景有一座精致的中式古典亭阁，亭内暖光微亮，周围有苍劲松树、金色树木、溪流、瀑布、雾气、发光微粒，河道蜿蜒穿行于山谷之间；

画面左上角添加竖版的手写书法字：{argument name="书法内容" default="东方美学"}，文字大小和间距合适；

画面层次丰富，留白雅致，空灵静谧，梦幻唯美，工笔重彩，细节精致，光影柔和，电影级氛围，高级国风插画，超精细，8K，艺术感极强，诗意仙境，比例9:16
Category
Scenes & Storytelling
Model
GPT Image 2
Creator
李岳
Views14
Source ID
15557
Published
Apr 24, 2026
Studio
App
RoutebookSkills

Guide

About "传统中国青绿山水"

What is this prompt for?

"传统中国青绿山水" AI image prompt for GPT Image 2 (Scenes & Storytelling). 一份用于创作具有现代奇幻美感的高质量传统中国青绿山水插画的详细提示词。 Copy it on Picva and recreate the look in one click.

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 "传统中国青绿山水".

  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 "传统中国青绿山水" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Scenes & Storytelling 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.