metadata
title: BrainBlow AI-TV
emoji: 🤯🤖📺
colorFrom: green
colorTo: green
sdk: docker
pinned: false
app_port: 7860
duplicated_from: TNR-5/AI-WebTV
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