TVGenAI / README.md
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metadata
title: AI WebTV
emoji: 🔮
colorFrom: purple
colorTo: white
sdk: docker
pinned: true
app_port: 7860

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