README.md

metadata

title: AI WebTV
emoji: 🔮
colorFrom: purple
colorTo: white
sdk: docker
pinned: false
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