Prompt/Image Similar

20

规范化的色彩与排版设计系统
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UI & InterfacesOpenNanaChatGPT图片ui-interfaces

规范化的色彩与排版设计系统

Prompt
Generate a multi-page design system where every image follows a strict 8px grid, consistent spacing, typography scale, and color system, showcasing UI components, layouts, and variations with perfect alignment and consistency.
Category
UI & Interfaces
Model
ChatGPT
Creator
@aleenaamiir
Views175
Source ID
13584
Published
Apr 23, 2026
Studio
App
RoutebookSkills

Guide

About "规范化的色彩与排版设计系统"

What is this prompt for?

"规范化的色彩与排版设计系统" AI image prompt for ChatGPT (UI & Interfaces). 生成一个多页面的设计系统，其中每张图像都遵循严格的8px网格、一致的间距、排版比例和色彩系统，展示具有完美对齐和一致性的UI组件、布局和变体。 Copy it on Picva and rec…

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 "规范化的色彩与排版设计系统".

  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 (ChatGPT)

    Prefer ChatGPT. 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 "规范化的色彩与排版设计系统" prompt?
It is an AI image-generation prompt for ChatGPT in the UI & Interfaces 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 ChatGPT. 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.