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####先对人物进行磨皮美化处理后,用第二张图片的人物生成第一张图片同款表情包 3×3九宫格、9种不同情绪半身、白色背景、白色贴纸描边、卡通情绪装饰」一键生成整套,统一画风不会崩脸;生成 后直接加底部文字,不用手动拼九… - AI prompt reference from CC Prompt Galaxy

3×3 Emotion Sticker Pack Set AI Image Prompt

Prompt

First retouch and beautify the character, then use the character from the second image to generate the same sticker pack as in the first image: 3×3 nine-grid, 9 different emotions in half-body, white background, white sticker outline, cartoon emotion decorations — generate the whole set in one click with a consistent art style that won't distort faces; after generation, bottom text is added directly, no need to manually assemble the nine-grid. Adapts to 3D Chinese-animation (guoman) modeled faces, with the highest facial feature fidelity.

AI Image Content Analysis

Content: Formula: retouch/beautify the subject, then image-referenced sticker-pack generation — 3×3 nine-grid, 9 emotions, half-body, white background, white sticker outline, cartoon emotion decorations, consistent style that avoids face distortion, auto-added bottom text, tuned for 3D guoman modeled faces and high facial fidelity. It is mostly layout, emotion count and style-consistency constraints; camera, lighting and color are unspecified.

Pros: Clear grid layout and emotion count, with explicit one-click set and anti-distortion consistency rules.

Cons: Clearly needs two input images to work; camera, lighting and color parameters are absent.

Reference image: Obvious reference-image dependency: needs image one as the sticker-pack template and image two as the character.

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