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蜡笔画风格提示词
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Example images

蜡笔画风格提示词

Prompt
{argument name="subject" default="a cute animal"}, crayon drawing illustration, hand-drawn with soft waxy texture, visible scribble marks, uneven coloring, playful childlike style, simple shapes, charming imperfections, layered crayon strokes, textured paper surface, warm nostalgic feeling, vibrant colors, clean white background
Category
Documents & Publishing
Model
GPT Image 2
Creator
𝐌
Views9
Source ID
15149
Published
Apr 23, 2026

Guide

About "蜡笔画风格提示词"

What is this prompt for?

"蜡笔画风格提示词" AI image prompt for GPT Image 2 (Documents & Publishing). 用于生成怀旧蜡笔画风格插图的提示词,具有柔和的质感和俏皮的手绘瑕疵。 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 "蜡笔画风格提示词".

  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 "蜡笔画风格提示词" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Documents & Publishing 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.