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SupaArchive is a web-based multi-site image-archival tool, designed to help you store and manage your collection in an organized manner.

It features built-in support for multiple import sites, has machine-learning powered image search, tag search, description and title translation, and more.

Caution

This is pre-alpha software and not ready for anything but development use.

Current supported sources

Source Import Userscript
Gelbooru 🚫
Pixiv
Local files 🚫 🚫

Requirements

  • Python 3.8 or higher
  • 6GB of RAM or VRAM for machine learning features (can be lower, but search intelligence will be significantly reduced)
  • S3 bucket for storage
  • Redis server for caching
  • MongoDB server for metadata storage
  • RabbitMQ server for task queueing
  • Docker and docker-compose for deployment
  • Qdrant for image search
  • DeepL API key for translations

Most of this gets handled by the docker-compose file, but you will need to set up the S3 bucket yourself.

About

SupaArchive is a multi-site image-archival tool.

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