thedixitjain 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:
- Python venv is activated with dependencies from requirements.txt installed
MINIMAX_API_KEYis exported (e.g.export MINIMAX_API_KEY='your-key')ffmpegis 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
- Analyze the user's photo — identify subject type (person / animal / object / logo).
- For each of the 4 stickers, build a prompt from image-prompt-template.txt by filling
{action}and{caption}. - If subject is a person: pass
--subject-ref <user_photo_path>so the generated figurine preserves the person's actual facial likeness. - 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 "<prompt>" -o output/sticker_cry.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_love.png --ratio 1:1 --subject-ref <photo>
--subject-refonly works for person subjects (API limitation: type=character). For animals/objects/logos, omit the flag and rely on text description.
Step 2: Animate Each Image → Video
Tool: scripts/minimax_video.py with --image flag (image-to-video mode)
For each sticker image, build a prompt from video-prompt-template.txt, then:
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_hi.png -o output/sticker_hi.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_laugh.png -o output/sticker_laugh.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_cry.png -o output/sticker_cry.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_love.png -o output/sticker_love.mp4
All 4 calls are independent — run concurrently.
Step 3: Convert Videos → GIF
Tool: scripts/convert_mp4_to_gif.py
python3 scripts/convert_mp4_to_gif.py output/sticker_hi.mp4 output/sticker_laugh.mp4 output/sticker_cry.mp4 output/sticker_love.mp4
Outputs GIF files alongside each MP4 (e.g. sticker_hi.gif).
Step 4: Deliver
Output format (strict order):
- Brief status line (e.g. "4 stickers created:")
<deliver_assets>block with all GIF files- NO text after deliver_assets
<deliver_assets>
<item><path>output/sticker_hi.gif</path></item>
<item><path>output/sticker_laugh.gif</path></item>
<item><path>output/sticker_cry.gif</path></item>
<item><path>output/sticker_love.gif</path></item>
</deliver_assets>
Default Actions
| # | Action | Filename ID | Animation |
|---|---|---|---|
| 1 | Happy waving | hi | Wave hand, slight head tilt |
| 2 | Laughing hard | laugh | Shake with laughter, eyes squint |
| 3 | Crying tears | cry | Tears stream, body trembles |
| 4 | Heart gesture | love | Heart hands, eyes sparkle |
See references/captions.md for multilingual caption defaults.
Rules
- Detect user's language, all outputs follow it
- Captions MUST come from captions.md matching user's language column — never mix languages
- All image prompts must be in English regardless of user language (only caption text is localized)
<deliver_assets>must be LAST in response, no text after
Source: MiniMax-AI/skills → skills/gif-sticker-maker/SKILL.md