Open-Source Project Runs a Never-Ending AI Livestream on Twitch with FastH3
VoidAsuka · x · 2026-08-31
Community developer @reactorworld built an infinite AI video livestream on Twitch using the FastH3 model, now open-sourced (GitHub: reactor-team/infinite-livestream).
How it works: Viewers type !prompt <idea> in Twitch/YouTube chat; an LLM expands each idea into a styled sequence of scenes; the fast-h3 model generates them as 768p clips with synchronized audio; and everything streams over RTMP as one uninterrupted broadcast.
Architecture — two halves, one contract:
- fast-h3/: the model side, a queue of prompt-driven clip generations, running on Reactor Runtime with 8x B200.
- streaming-client/: the client, handling chat → prompt upsampling → scene groups → the model queue → paced RTMP output, built on reactor-sdk (Python) + ffmpeg on any box.
- The two sides meet on a wire contract defined in fasth3types.py (commands, messages, tracks), carried over WebRTC media tracks.
The repo also ships AGENTS.md, CLAUDE.md, and a skills directory for agent collaboration.
Related event: Developers Open-Source Infinite AI Livestream Powered by FastH3(4 posts)→
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