To launch a Danbooru instance in your browser:
- Create a Github account.
- Click Open in Github Codespaces.
- Click the
Create new codespacebutton. - Wait a few minutes for it to launch.
When it's done, you'll have a new Danbooru instance with a full development environment running in your browser. This way you can try out Danbooru without installing anything on your computer.
See the Codespaces section in the Docker Guide to learn more.
Run this to start a Danbooru instance:
sh -c "$(curl -sSL https://raw.githubusercontent.com/danbooru/danbooru/master/bin/setup)"This will install Docker Compose and start Danbooru. When it's done, Danbooru will be running at http://localhost:3000.
Alternatively, if you already have Docker Compose installed, you can do:
git clone http://github.com/danbooru/danbooru
cd danbooru
touch .env.local config/danbooru_local_config.rb
sudo docker compose upWhen you're done, you can run the following to delete everything:
sudo docker compose down --volumes # Delete all data and images in your Danbooru instance.
sudo docker image prune # Clean up all unused Docker images.
rm -rf ~/danbooru # Delete the Danbooru code.See the Docker Guide for more information on running Danbooru using Docker. This is the recommended way to run Danbooru.
Alternatively, you may use the Manual Installation Guide to install Danbooru without Docker. Manual installation is much more difficult than using Docker, and therefore is not recommended or officially supported.
For help, ask in the #technical channel on the Danbooru Discord, or in the discussions area on Github.
Danboou depends on a couple of cloud services and several microservices to implement certain features.
In the production environment, for historical reasons, Danbooru relies on Amazon AWS to send pool/post versions to a SQS queue, and on a separate archives service (available here) to extract the versions from that queue and insert them into a database.
The Docker Compose files in this repository come with a preconfigured archives service and an SQS mock using ElasticMQ, so following the docker tutorial at the start of this file is sufficient to have post/pool versions working for a new instance.
The following features require a Google Cloud account:
- BigQuery database export
IQDB integration is delegated to the IQDB service.
The following features are delegated to the Reportbooru service:
- Post views
- Missed searches report
- Popular searches report
Post recommendations require the Recommender service.