LiveAvatar is an open-source research and implementation project that provides a unified framework for real-time, streaming, interactive avatar video generation driven by audio and other control signals. It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. The project co-designs algorithms and system optimizations, such as block-wise autoregressive processing and fast sampling strategies, to deliver real-time frame rates (e.g., ~45 FPS on appropriate GPU clusters) while handling non-stop generation without quality degradation. LiveAvatar focuses on delivering not just high-quality visuals but also the responsiveness necessary for immersive conversational experiences, making it suitable for advanced AI agents, virtual assistants, and interactive streaming contexts.

Features

  • Real-time streaming avatar video generation
  • Infinite-length continuous output
  • Audio-driven motion and expression control
  • Block-wise autoregressive inference pipeline
  • High-performance on GPU clusters
  • Designed for interactive AI use cases

Project Samples

Project Activity

See All Activity >

Categories

Sound/Audio

License

Apache License V2.0

Follow LiveAvatar

LiveAvatar Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LiveAvatar!

Additional Project Details

Programming Language

Python

Related Categories

Python Sound Audio

Registered

2026-01-30