Share you models, textual inversions, hypernetworks, aesthetic gradients, and any other crazy stuff people do to customize their AI generations.
- DB: Prisma + Postgres
- API: tRPC
- Front-end + Back-end: NextJS
- UI Kit: Mantine
- Storage: Wasabi
- Hosting: Railway
- Browse Models
- Also through API for SD forks
- Name, tags, downloads, favorites
- User accounts
- oAuth: GitHub, Google, Discord
- Interacting with Models:
- Name
- Trained Words (a list of words that this model knows)
- Description
- Type (Model, Textual Inversion)
- Example Images
- Versions
- Name
- Changelog/Description/Notes
- Training Images (optional)
- Training Steps
- Download (Tracked)
- Tag (Completely open, let them tag however)
- Reviews
- Version? (optionally attached to a specific version)
- Images Attachments
- Text Review
- Rate (Star system 1-5)
npm i # Install all the packages
cp .env-sample .env # Create and populate the .env file
npm run dev # Start building...
npm run dev # Start the dev environment
npm run db:migrate -- --name migration-name # Create a database migration with prisma after updating the schema
npm run db:ui # Start Prisma Studio to manage the database content
npm run build # Build the NextJS project