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Automatically merge tags when uploading a duplicate. There are two cases: * You try to upload an image, but it's already on Danbooru. In this case you'll be immediately redirected to the original post, before you can start tagging the upload. * You're uploading an image, it wasn't a dupe when you first opened the upload page, but you got sniped while tagging it. In this case your tags will be merged with the original post, and you will be redirected to the original post. There are a few corner cases: * If you don't have permission to edit the original post, for example because it's banned or has a censored tag, then your tags won't be merged and will be silently ignored. * Only the tags, rating, and parent ID will be merged. The source and artist commentary won't be merged. This is so that if an artist uploads the exact same file to multiple sites, the new source won't override the original source. * Some tags might be contradictory. For example, the new post might be tagged translation_request, but the original post might already be translated. It's up to the user to fix these things afterwards.
Quickstart
Run this to start a basic Danbooru instance:
curl -sSL https://raw.githubusercontent.com/danbooru/danbooru/master/bin/danbooru | sh
This will install Docker Compose and use it to start Danbooru. When it's done, Danbooru will be running at http://localhost:3000.
Alternatively, if you already have Docker Compose installed, you can just do:
wget https://raw.githubusercontent.com/danbooru/danbooru/master/docker-compose.yaml
docker-compose up
Manual Installation
Follow the INSTALL.debian script to install Danbooru.
The INSTALL.debian script is written for Debian, but can be adapted for other distributions. Danbooru has been successfully installed on Debian, Ubuntu, Fedora, Arch, and OS X. It is recommended that you use an Ubuntu-based system since Ubuntu is what is used in development and production.
See here for a guide on how set up Danbooru inside a virtual machine.
For best performance, you will need at least 256MB of RAM for PostgreSQL and Rails. The memory requirement will grow as your database gets bigger.
In production, Danbooru uses PostgreSQL 10.18, but any release later than this should work.
Troubleshooting
If your setup is not working, here are the steps I usually recommend to people:
-
Test the database. Make sure you can connect to it using
psql. Make sure the tables exist. If this fails, you need to work on correctly installing PostgreSQL, importing the initial schema, and running the migrations. -
Test the Rails database connection by using
bin/rails console. RunPost.countto make sure Rails can connect to the database. If this fails, you need to make sure your Danbooru configuration files are correct. -
Test Nginx to make sure it's working correctly. You may need to debug your Nginx configuration file.
-
Check all log files.
Services
Danboou depends on a couple of cloud services and several microservices to implement certain features.
Amazon Web Services
The following features require an Amazon AWS account:
- Pool history
- Post history
Google APIs
The following features require a Google Cloud account:
- BigQuery database export
IQDB Service
IQDB integration is delegated to the IQDB service.
Archive Service
In order to access pool and post histories you will need to install and configure the Archives service.
Reportbooru Service
The following features are delegated to the Reportbooru service:
- Post views
- Missed searches report
- Popular searches report
Recommender Service
Post recommendations require the Recommender service.