Artificial Art Manager

The purpose of this application is to help users generate images pushing request to a queue, view and filter the generated images, and later categorize them with a tinder-like UI.

The frontend is built using Vue 3, Nuxt 3, Vuetify 3 and Socket.IO.
And the backend is built using NestJs, Prisma ORM, MongoDB, and Redis.
The E2E test are written using Playwright.

The images are generated using the Stable Diffusion model through the AUTOMATIC1111 webui using the handy --api argument.

📋 Features

• Queue image generation using Stable Diffusion
• View and filter generated images
• Categorize images with a tinder-like UI
• Real-time updates and push notifications using Socket.IO
• Start and stop the AUTOMATIC1111 webui docker container through the UI

📷 Screenshot

💻 Tech Stack

• Frontend: Vue 3, Nuxt 3, Vuetify 3, Socket.IO
• Backend: NestJs, Prisma ORM, MongoDB, Redis
• Docker compose: for running the backend, frontend, and the necessary services
• Portainer: for managing the docker container for the image generation service
• Stable Diffusion (AUTOMATIC1111 webui): hosted in a docker container managed by Portainer

📝 Usage

You can start the application by running docker-compose up in the root directory.

The UI will be available at http://localhost:3000, and the backend API will be available at http://localhost:3005.

You may need to configure the corresponding environment variables in the .env files in the root, frontend and backend directories.

• In the /generate/ page you can send image generation requests to the queue and manage the Stable Diffusion docker service. After the queue is empty the application will send a notification.

• In the /gallery/ page you can view and filter the generated images.

• In the /play/ page you can categorize the images with a tinder-like UI.

• In the /votes/ page you can see the images that have been categorized, filtered by vote type (like, dislike, favorite, etc) and with the possibility to add more filters.

🛠️ Development

1. Install Docker and Portainer, then clone this repository
2. Build and run your AUTOMATIC1111 webui docker container here is the one I'm using, and make sure it's using the --api argument
3. In a separate terminal, navigate to the frontend directory and run npm install to install dependencies
4. Start the frontend server by running npm run dev
5. In another separate terminal, navigate to the backend directory and run npm install to install dependencies
6. Start the backend server by running npm run start:dev

Disclaimer: This is a work in progress, so there are still a lot of things to be done.
Also this is just a personal project for fun, so don't use it in production or expect quick bug fixes 🙂