This T-shirt does not exist.
Images are generated with StyleGAN neural network, trained on 40,000 images of modern art. The training process takes 3 days on 4x1080ti GPU. Every 30 seconds there are 9 new images, and the old ones are deleted. To print these images, use specialized sites(place for your ad). To increase the resolution, you can use a super resolution (increase the image size from 1024px to 2048px).
Repo consist of generator(based on StyleGAN) and server(flask + gunicorn + redis + s3).
- cpu: layers converting is needed(NCHW -> NHWC)
- gpu: high renting cost
- s3(current): generating on gpu server, save to s3, serve on cpu server
Generator generates images, makes preprocessing and uploads to s3. Backend worker downloads images and saves to redis each n seconds in one transaction. Main server gets 9 images and urls of full-size images(on s3) from redis and serves these to clients.
- https://docs.docker.com/install/linux/docker-ce/ubuntu/
- https://docs.docker.com/compose/install/
- git clone https://github.com/EvgenyKashin/ganarts.git
- create .env with s3 access keys
- sudo docker-compose up -d