replicate/goo-logo
Python
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source ↗replicate/goo-logo
Description: Generates logos
Language: Python
Stars: 1
Forks: 0
Open issues: 0
Created: 2025-05-02T16:21:39Z
Pushed: 2025-12-10T04:03:56Z
Default branch: main
Fork: no
Archived: no
README:
Replicate goo logo generator
This Cog model generates vibrant, animated or still "goo" backgrounds and overlays a logo in the center. It can output a single image (PNG, JPEG, TIFF) or a looping MP4 video, with a variety of customization options for the goo effect.
See also: https://github.com/replicate/goo
What does it do?
- Generates a colorful, animated "goo" effect using a ModernGL shader.
- Overlays a logo (provided in the model) at the center of the output.
- Outputs either a static image or a video, depending on your choice.
Inputs
You can control the output with the following options:
| Name | Type | Default | Description | |-------------|---------|-----------|----------------------------------------------------------------------------------------------| | seed | int | -1 | Seed for the random number generator. Use -1 for a random seed. | | width | int | 512 | Width of the output image/video (1–4096). | | height | int | 512 | Height of the output image/video (1–4096). | | scale | int | 1 | Scale factor for the goo effect. Higher values zoom in/out on the goo pattern. | | depth | int | 3 | Number of iterations for the goo effect. Higher values create more complex patterns. | | format | str | "png" | Output format: "png", "jpeg", "tiff", or "mp4" (for video). | | speed | float | 2.0 | Speed of the goo animation (0.0–10.0). Higher is faster. | | num_frames| int | 600 | Number of frames for video output (only used when format is "mp4"). | | fps | int | 60 | Frames per second for video output (only used when format is "mp4"). |
Example usage
Generate a PNG image
cog predict -i format=png -i width=1024 -i height=1024 -i seed=42
Generate a JPEG image with a different goo pattern
cog predict -i format=jpeg -i scale=2 -i depth=5 -i seed=1234
Generate a 5-second MP4 video at 30 FPS
cog predict -i format=mp4 -i num_frames=150 -i fps=30 -i speed=5.0
The output will be written to a file, e.g. output.png or output.mp4.
Output
- Image formats: PNG, JPEG, TIFF
- Video format: MP4 (H.264, browser-compatible)
All outputs have the goo effect as the background, with the logo centered and sized to 50% of the smallest image dimension.
How it works
- Uses a ModernGL shader to generate the goo effect.
- Overlays a logo (decoded from base64) using Pillow.
- For videos, frames are streamed to FFmpeg for efficient MP4 encoding.
Requirements
- Cog installed (see below).
- Docker (Cog uses Docker to run the model).
Installation
Install Cog by following the official instructions:
brew install cog # or sh <(curl -fsSL https://cog.run/install.sh)
Running the model
After installing Cog and Docker, run predictions as shown above. You can also serve the model as an API:
cog serve -p 8080
Then POST to http://localhost:8080/predictions with your desired input options.
Customization
- Logo: The logo is embedded in the model as a base64 PNG. To use a different logo, you’ll need to modify the model code.
- Goo effect: Tweak
scale,depth,speed, andseedfor different visual results.
Troubleshooting
- If you get errors about OpenGL or EGL, ensure your Docker environment supports headless OpenGL rendering.
- For video output, FFmpeg must be available in the container (the provided
cog.yamlshould handle this).
License
MIT (or specify your license here).
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Questions? Join the Replicate Discord or open an issue!
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Let me know if you want to include example images, API schema, or further details!
Notability
notability 0.0/10Trivial repo with 1 star