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Low-Fidelity UI Design Prototype
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Low-Fidelity UI Design Prototype

Prompt
基于图片,生成一个可用于交付UI设计的低保真原型图,使用色块与基础控件作为示意,例如{argument name="占位符" default="灰色块"}替代图片。清晰的标注间距,分组,圆角等数据,并附有对应的说明
需要清晰达到可交付标准
Category
UI & Interfaces
Model
GPT Image 2
Creator
MarioTan
Views3
Source ID
18066
Published
May 3, 2026

Guide

About "Low-Fidelity UI Design Prototype"

What is this prompt for?

"Low-Fidelity UI Design Prototype" AI image prompt for GPT Image 2 (UI & Interfaces). Generates clear, deliverable low-fidelity UI prototypes from reference im…

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 "Low-Fidelity UI Design Prototype".

  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 "Low-Fidelity UI Design Prototype" prompt?
It is an AI image-generation prompt for GPT Image 2 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 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.