brainblow/AI-TV

A generative AI WebTV, powered by Zeroscope and Hugging Face.

This is just the frontend part, you will need the media-server (also open source) to make it work.

Warning: this is an experimental, proof-of-concept project made in a few days.

It is not ready for production use by other people! Also, this use models that should only be used for research purposes (no commercial usage).

Note: because the stream uses FLV, it doesn't work on iPhone. There is however a Twitch mirror here.

The main code of the webtv is located inside the media-server :

manual steps:

• —human input to write a short paragraph describing a multi-shot video sequence
• —manual submit it to GPT-4 to generate a list of video captions for each shot (the system instructions are extracts from a stable diffusion guide)
• —commit the captions to the playlist database

Inside the media-server space (generation process running in the background):

• —for each prompt in the database
• —generate a silent 3 seconds video clip with Zeroscope V2 576w (hosted on Hugging Face Spaces)
• —upscale the clip with Zeroscope V2 XL (also a HF Space)
• —perform frame interpolation with FILM (also a HF Space)
• —storage in the Persistent Storage of the media-server Space

Inside the media-server space (streaming process running in the foreground):

• —for each video file in the persistent storage folder
• —add it to a new FFmpeg playlist (it's just a .txt file)
• —broadcast it over the RTMP protocol using FFmpeg (in FLV format)
• —diffusion of the stream using node-media-server

Inside the AI-WebTV space:

• —display the stream using mpegts.js
• —this doesn't work on iPhone, but now there is also a Twitch mirror