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12 种风格动漫宠物拼贴画
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12 种风格动漫宠物拼贴画

Prompt
Using the provided reference image as the subject and composition base, create a vertical 3-column by 4-row comparison collage showing the same child and dog transformed into exactly 12 different animation/game styles. Keep the child-and-dog pairing, close pose, cheerful outdoor feeling, and the privacy face-obscuring blocks where present, but redraw each tile in a distinct branded-inspired cartoon/anime aesthetic with matching backgrounds and a title logo at the top of each tile.

Canvas and layout: Make one poster-style image with 12 equal rectangular panels separated by thin white grid lines, arranged 3 columns × 4 rows. Each panel should crop the subjects similarly to the reference but adapt the scenery to the chosen style.

Panels, in order from top-left to bottom-right, with exactly these 12 visible title labels:
1. {argument name="style label 1" default="STUDIO GHIBLI"} — soft hand-painted fantasy countryside look.
2. {argument name="style label 2" default="PIXAR"} — glossy 3D animated family-film look.
3. {argument name="style label 3" default="DRAGON BALL"} — bold action manga look with dramatic sky and rocky landscape.
4. {argument name="style label 4" default="ONE PIECE"} — pirate-adventure anime look with ships, sea, and birds.
5. {argument name="style label 5" default="NARUTO"} — ninja anime look with village rooftops and energetic colors.
6. ドラえもん — bright simple children’s anime suburb look.
7. サザエさん — classic Japanese family anime neighborhood look.
8. Lilo & Stitch — tropical island cartoon look with palms and beach colors.
9. Pokémon — colorful adventure anime look with cap/backpack styling and a path through a game-like town.
10. 鬼滅の刃 — dramatic dark fantasy anime look with glowing purple forest lighting.
11. クレヨンしんちゃん — simple rounded gag-anime look with a cheerful open-mouth child expression.
12. MINECRAFT — blocky voxel game style with cubic characters, village houses, and pixelated terrain.

Style rules: The titles should resemble the recognizable logo treatment for each style while remaining clean and readable. Preserve the dog’s happy expression and fluffy toy-poodle silhouette across panels, adapting only the rendering style. Do not add extra panels, extra labels, watermarks, captions, or unrelated characters.
Category
Posters & Typography
Model
GPT Image 2
Views3
Source ID
20379
Published
May 14, 2026

Guide

About "12 种风格动漫宠物拼贴画"

What is this prompt for?

"12 种风格动漫宠物拼贴画" AI image prompt for GPT Image 2 (Posters & Typography). 创建一个 12 格对比海报,将儿童与狗狗的参考照片转化为多种动漫、卡通和游戏风格。 Copy it on Picva and recreate the look in one…

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 "12 种风格动漫宠物拼贴画".

  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 "12 种风格动漫宠物拼贴画" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Posters & Typography 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.