Ganbreeder is a collaborative art tool for discovering images. Images are 'bred' by having children, mixing with other images and being shared via their URL. This is an experiment in using breeding + sharing as methods of exploring high complexity spaces. GAN's are simply the engine enabling this. Ganbreeder is very similar to, and named after, Picbreeder. It is also inspired by an earlier project of mine Facebook Graffiti which demonstrated the creative capacity of crowds.Ganbreeder uses these models.
This code was made in a weekend and hasn't been cleaned up or documented yet. There are also improvements to make to scalability.
Pull request are more than welcome :)
How to use
- Install Python 3 + pip (for the GAN server)
- Install NodeJS + npm (for the frontend)
- Install a PostgreSQL server
Launch the GAN server
cd gan_server # Install dependencies pip install -r requirements.txt # And go... python server.py
Your GAN server is available at http://localhost:5000/
Configure the frontend
For quick hacking, if you have Docker at your disposal, you can spawn a PostgreSQL database like so:
docker run -p 5432:5432 --name ganbreederpostgres -e POSTGRES_PASSWORD=ganbreederpostgres -d postgres
With that simple scenario, the database and user would be
postgres and the password would be
Copy the file
secrets.js and modify it to fit your environment.
Launch the frontend
cd server npm install # Create the database structure node_modules/knex/bin/cli.js migrate:latest # Generate the first images node make_randoms.js # Generate a cache of image keys for the front page (do it every time you want to update the front page) node updatecache.js # And go... node server.js
Your frontend is available at http://localhost:8888/