A playground for DALL-E enthusiasts to tinker with the open-source version of OpenAI's DALL-E, based on DALL-E Mini.

You can tinker with the DALL-E playground using a Github-hosted frontend. Follow these steps:

1. Run the DALL-E backend using Google Colab
2. Copy the URL from the last executed cell. Look for the line having your url is: https://XXXX.loca.lt
3. Wait for the backend to fully load, this should take ~2min and you should see --> DALL-E Server is up and running!
4. Browse https://saharmor.github.io/dalle-playground/?backendUrl=https://XXXX.loca.lt where the backendUrl query parameter should be the url from the previous step

General note: while it's possible to run the DALL-E Mini backend on the free tier of Google Colab, generating more than 1-2 images would take more than 1min, which will result in a frontend timeout. Consider upgrading to Colab Pro or run the backend notebook on your stronger ML machine (e.g. AWS EC2).

Follow these steps in case you'd like to clone and run the DALL-E playground locally:

1. Clone or fork this repository
2. Create a virtual environment cd backend && python3 -m venv ENV_NAME
3. Install requirements pip install -r requirements.txt
4. Make sure you have pytorch and its dependencies installed Installation guide
5. Run web server python app.py
6. In a different terminal, install frontend's modules cd interface && npm install and run it npm start
7. Copy backend's url from step 5 and paste it in the backend's url input within the web app

This repo is a full-stack flavour of Boris Dayma's DALL-E Mini repository.