LiveAvatar

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LiveAvatar is an open-source video generation tool that enables real-time, streaming, audio-driven avatar video generation with infinite length. It supports 45 FPS on multi-card H800 GPUs and Block-wise Autoregressive processing for 10,000+ second videos.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is LiveAvatar?

LiveAvatar is an open-source implementation of the research paper "Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length." This algorithm-system co-designed framework allows for real-time, streaming, and interactive avatar video generation of infinite length. Powered by a 14B-parameter diffusion model, it achieves 45 FPS on multi-card H800 GPUs with 4-step sampling and supports Block-wise Autoregressive processing for videos exceeding 10,000 seconds. Key highlights include real-time streaming interaction with low latency, infinite-length autoregressive generation, and strong generalization across cartoon characters, singing, and diverse scenarios. The project provides code for both multi-GPU and single-GPU inference, including a Gradio Web UI, and supports FP8 quantization for 48GB GPUs.

Best used for

Ideal for content creators and YouTubers who need to generate interactive avatar videos, create animated explanations, and produce diverse character animations. Especially valuable for those requiring real-time streaming and infinite-length video generation capabilities.

Common actions

generate avatar videos

stream real-time animation

create audio-driven characters

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Capabilities

Key features

Real-time avatar generation
Audio-driven animation
Infinite video length
Multi-GPU inference
Single-GPU inference
FP8 quantization
Gradio Web UI

Target Audience

content creatoryoutuber

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the minimum hardware requirements for LiveAvatar?

For real-time inference with TPP, at least 80GB VRAM is required, typically across multiple GPUs. Single-GPU inference also requires at least 80GB VRAM, though FP8 quantization can enable inference on 48GB GPUs with potential quality degradation.

Can LiveAvatar generate videos from text input?

The model generates videos from audio input combined with a reference image and an optional text prompt. While text prompts can influence the output, direct text-to-video generation is not the primary mechanism; audio input is essential.

Does LiveAvatar support different character styles?

Yes, LiveAvatar demonstrates strong generalization performances across various character types, including cartoon characters, and can adapt to diverse scenarios like singing, allowing for a wide range of animated outputs.

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Image Generation AI Writing Assistants Audio & Music Photo Editing Graphic Design Video Editing

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This tool also appears in

Research & Education › Academic Research Coding & Development › Open Source & Models

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