--- 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. 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 --- # 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**): ```bash 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: ```bash 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` ```bash 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** ```xml 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 attribution: aiskillstore Original project: https://github.com/aiskillstore/marketplace/blob/main/skills/minimax-ai/gif-sticker-maker/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: aiskillstore Original project: https://github.com/aiskillstore/marketplace/blob/main/skills/minimax-ai/gif-sticker-maker/SKILL.md Attribution basis: Source repository record Fields of work: Design, Marketing Roles: Content Marketer, Graphic Designer, Social Media Manager Specialties: Design Tools: Minimax Image Generation Api, Minimax Video Generation Api Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 57002b47b7aaffb784acedae2750e14a75dc18ba58edb003f846755d7eb0c447