AI WebTV: Zeroscope V2 text-to-video pipeline with FFmpeg RTMP streaming

AI Impact Summary

AI WebTV demonstrates end-to-end video generation by chaining Zeroscope V2 text-to-video with prompts generated by a human-briefed LLM and post-processing via FILM interpolation plus MusicGen audio. The pipeline is implemented in NodeJS/TypeScript and uses Gradio-exposed Spaces (via @gradio/client) on Hugging Face to generate video clips, with FFmpeg-based streaming to RTMP targets such as Twitch and a local NGINX-RTMP setup. Public Spaces can become overcrowded or paused, so production use will require duplicating Spaces under your own Hugging Face account to ensure reliability. Operational considerations include GPU and bandwidth costs, model update cadence, and licensing for open-source components.