Alibaba-Quark/LiveAvatar

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2386 stars · 281 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LiveAvatar is an open-source implementation of an ECCV 2026 paper for streaming, real-time, infinite-length audio-driven avatar video generation. It uses a 14B-parameter diffusion model with block-wise autoregressive processing to achieve 45 FPS on multi-GPU H800 setups.

Use cases

• generate a talking avatar video from audio in real time
• stream infinite-length avatar video driven by speech
• build a real-time digital human presenter
• run audio-driven talking head generation on GPUs
• create live streaming avatars for virtual hosts
• research streaming diffusion video generation

When to choose

• you need real-time, long-running audio-driven avatar video generation
• you have multi-GPU H800-class hardware and want 45 FPS streaming inference
• you want to reproduce or build on a state-of-the-art talking avatar research model

When to avoid

• you only have a single consumer GPU or CPU-only environment
• you need simple offline talking-head video without streaming requirements
• you want a polished end-user application rather than a research codebase

Facets

library · maturity active

video-processing machine-learning deep-learning llm-inference speech-recognition artificial-intelligence deep-learning computer-vision gpu-computing python talking-head-generation audio-driven-avatar diffusion-model streaming-video-generation real-time-inference eccv-2026 digital-human video audio linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Alibaba-Quark/LiveAvatar")