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16

故意画得很烂的 MS Paint 风格重绘
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故意画得很烂的 MS Paint 风格重绘

Prompt
用世界上最拙劣的线条重绘附件中的图像，风格类似于 {argument name="style" default="涂鸦"}。背景应该是 {argument name="background color" default="白色"}，看起来就像是用鼠标在 MS Paint 里画的一样——感觉似是而非，既像原图又不太像，给人一种模棱两可的感觉，让你分不清这到底算不算画好了。请自豪地展示这种拙劣感，并保留可见的像素点。随便吧，总之你想怎么画就怎么画。
Category
Creative Use Cases
Model
GPT Image 2
Creator
🌺チェレステさかしー/Al/散歩/東京Uberエンジョイ勢
Views4
Source ID
17864
Published
May 2, 2026
Studio
App
RoutebookSkills

Guide

About "故意画得很烂的 MS Paint 风格重绘"

What is this prompt for?

"故意画得很烂的 MS Paint 风格重绘" AI image prompt for GPT Image 2 (Creative Use Cases). 一个指令，要求 AI 以最糟糕的方式重绘附件中的图像，模仿用鼠标在 MS Paint 中随意涂鸦的效果。 Copy it on Picva and recreat…

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 "故意画得很烂的 MS Paint 风格重绘".

  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 "故意画得很烂的 MS Paint 风格重绘" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Creative Use Cases 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.