infinite-livestream
infinite-livestream
An end-to-end reference implementation where Twitch or YouTube prompts become expanded scenes, generated clips, and a continuous RTMP broadcast.
A one-day open-source experiment that moderates and rewrites YouTube chat before generating short H3 Max clips for a live broadcast.
View repository ↗infinite-slop-engine
It surfaces the safety and latency trade-off in chat-driven AI TV: multi-stage moderation before a prompt reaches the screen.
The project exposes an important constraint of public AI TV: audience input needs moderation and rewriting before it reaches a generative model and a live broadcast.
This is source code, not a hosted channel. You need to inspect, configure, and deploy it with your own keys and runtime before anything can broadcast.
Review the repository’s moderation stages and H3 Max clip flow, then run it with the required YouTube and model configuration. It is an experiment rather than a maintained hosted service.
Best for: Builders studying prompt safety, moderation latency, and chat-to-video broadcast pipelines.
Access note: Open source experiment; self-hosting and provider configuration required.
One-day experiment from 2026-08-30, supplied as an open-source reference. It is not maintained as a production product.
infinite-livestream
An end-to-end reference implementation where Twitch or YouTube prompts become expanded scenes, generated clips, and a continuous RTMP broadcast.
SlopTV
An open-source loop that turns YouTube chat comments into video prompts, renders short clips with a local GPU workflow, and sends them back via RTMP.
UNREEL
An open-source, self-hosted AI streaming service that writes scenes and renders MiniMax H3 Max Turbo video through fal as a channel plays.