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Ganbreeder

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

Prerequisites

  • 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 ganbreederpostgres

Copy the file server/example_secrets.js to 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/

docker-compose setup

Make sure that docker and docker-compose are installed.

Start the containers:

docker-compose up

Your frontend is available at http://localhost:8888/, backend at http://localhost:5000/. Initial backend setup can take few minutes.

If this is the first time you are running the project you might want to generate some random images:

docker-compose exec server node make_randoms.js

Restart only frontend server (to avoid backend initialization wait):

docker-compose restart server