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个人Q版表情包制作
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个人Q版表情包制作

Prompt
用个人照片制作一套Q版表情包
工具:sora 或 GPT-4o
注意:
- 需要上传一张清晰头像的照片
提示词:
创作一套全新的 chibi sticker,共六个独特姿势,以用户形象为主角:
1. 双手比出剪刀手,俏皮地眨眼;
2. 泪眼汪汪、嘴唇微微颤动,呈现可爱哭泣的表情;
3. 张开双臂,做出热情的大大拥抱姿势;
4. 侧卧入睡,靠着迷你枕头,带着甜甜的微笑;
5. 自信满满地向前方伸手指,周围点缀闪亮特效;
6. 手势飞吻,周围飘散出爱心表情。
保留 chibi 美学风格:夸张有神的大眼睛、柔和的面部线条、活泼俏皮的短款黑色发型、配以大胆领口设计的白色服饰,背景使用充满活力的红色,并搭配星星或彩色纸屑元素进行装饰。周边适当留白。
Aspect ratio: 9:16
Category
Characters & People
Model
Unknown
Creator
宝玉
Views0
Source ID
personal-chibi-sticker-pack-creation

Guide

About "个人Q版表情包制作"

What is this prompt for?

"个人Q版表情包制作" AI image prompt for Unknown (Characters & People). 用个人照片制作一套Q版表情包 工具:sora 或 GPT-4o 注意: - 需要上传一张清晰头像的照片 提示词: 创作一套全新的 chibi sticker,共六个独特姿势,以用户形象为主角:…

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 "个人Q版表情包制作".

  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 (Unknown)

    Prefer Unknown. 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 "个人Q版表情包制作" prompt?
It is an AI image-generation prompt for Unknown in the Characters & People 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 Unknown. 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.