gif-sticker-maker

name	gif-sticker-maker
description	Convert photos (people, pets, objects, logos) into 4 animated GIF stickers with captions. Use when: user wants to create cartoon stickers, GIF expressions, emoji packs, animated avatars, or convert photos to Funko Pop / Pop Mart blind box style animations. Triggers: sticker, GIF, cartoon, emoji, expression pack, avatar animation.
description_zh	照片转动态 GIF 贴纸
description_en	Convert photos to 4 animated GIF stickers with captions
license	MIT
metadata	{"version":"1.2","category":"creative-tools","style":"Funko Pop / Pop Mart","output_format":"GIF","output_count":4,"sources":["MiniMax Image Generation API","MiniMax Video Generation API"]}
display_name	gif-sticker-maker
display_name_en	gif-sticker-maker
visibility	public

GIF Sticker Maker

Convert user photos into 4 animated GIF stickers (Funko Pop / Pop Mart style).

Style Spec

• Funko Pop / Pop Mart blind box 3D figurine
• C4D / Octane rendering quality
• White background, soft studio lighting
• Caption: black text + white outline, bottom of image

Prerequisites

Before starting any generation step, ensure:

1. Python venv is activated with dependencies from requirements.txt installed
2. MINIMAX_API_KEY is exported (e.g. export MINIMAX_API_KEY='your-key')
3. ffmpeg is available on PATH (for Step 3 GIF conversion)

If any prerequisite is missing, set it up first. Do NOT proceed to generation without all three.

Workflow

Step 0: Collect Captions

Ask user (in their language):

"Would you like to customize the captions for your stickers, or use the defaults?"

• Custom: Collect 4 short captions (1–3 words). Actions auto-match caption meaning.
• Default: Look up captions table by detected user language. Never mix languages.

Step 1: Generate 4 Static Sticker Images

Tool: scripts/minimax_image.py

1. Analyze the user's photo — identify subject type (person / animal / object / logo).
2. For each of the 4 stickers, build a prompt from image-prompt-template.txt by filling {action} and {caption}.
3. If subject is a person: pass --subject-ref <user_photo_path> so the generated figurine preserves the person's actual facial likeness.
4. Generate (all 4 are independent — run concurrently):

python3 scripts/minimax_image.py "<prompt>" -o output/sticker_hi.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_laugh.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py  -o output/sticker_cry.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py  -o output/sticker_love.png --ratio 1:1 --subject-ref <photo>