GIF Sticker Maker

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

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)

Workflow

Step 0: Collect Captions

"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

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 "<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-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

scripts/minimax_video.py

--image

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

Step 3: Convert Videos → GIF

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

sticker_hi.gif

Step 4: Deliver

1. Brief status line (e.g. "4 stickers created:")

2. <deliver_assets>

   block with all GIF files
3. 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

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