Gif Sticker Maker

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](references/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](references/captions.md) 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](assets/image-prompt-template.txt) by filling {action} and {caption}.
3. If subject is a person: pass --subject-ref so the generated figurine preserves the person's actual facial likeness.
4. Generate (all 4 are independent — run concurrently):

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

> --subject-ref only 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](assets/video-prompt-template.txt), then:

python3 scripts/minimax_video.py "" --image output/sticker_hi.png -o output/sticker_hi.mp4
python3 scripts/minimax_video.py "" --image output/sticker_laugh.png -o output/sticker_laugh.mp4
python3 scripts/minimax_video.py "" --image output/sticker_cry.png -o output/sticker_cry.mp4
python3 scripts/minimax_video.py "" --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):

1. Brief status line (e.g. "4 stickers created:")
2. `` block with all GIF files
3. NO text after deliver_assets

output/sticker_hi.gif
output/sticker_laugh.gif
output/sticker_cry.gif
output/sticker_love.gif

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](references/captions.md) for multilingual caption defaults.

Rules

• Detect user's language, all outputs follow it
• Captions MUST come from [captions.md](references/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)
• `` must be LAST in response, no text after

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: martgueritainaccurate875
• Source: martgueritainaccurate875/skills
• License: MIT

Install and usage instructions live in the source repository linked above.