What is LongCat-Video-Avatar?

LongCat-Video-Avatar is an open-source AI model from Meituan that generates expressive, lip synchronized avatar videos from audio, text, and reference images, supporting long sequences and multi character scenes.

Is LongCat-Video-Avatar free and open-source?

Yes, it's completely free under the MIT License, with model weights downloadable from Hugging Face for local use and modification.

How do I use LongCat-Video-Avatar?

Clone the GitHub repo, set up a Conda environment with PyTorch and dependencies, download the weights via Hugging Face CLI, and run inference scripts with torchrun (requires high-end GPU(s)).

What makes it stand out for long videos?

It uses innovative techniques like Cross Chunk Latent Stitching and reference skip attention to maintain quality, identity, and natural motion over extended durations without repetition or drift.

LongCat-Video-Avatar

Open-Source Expressive Audio-Driven Avatar Animation for Realistic Long Videos

From Meituan

Founder: Meituan LongCat Team

Video & Animation

Dec 2025

10K+

Free

Pricing Model

Free

Starting Price

$0/Month

About This AI

LongCat-Video-Avatar is a powerful open-source unified AI model developed by Meituan’s LongCat Team for generating highly expressive, lip-synchronized talking avatar videos.

Built on a Diffusion Transformer architecture, it supports Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and Video Continuation tasks.

It excels at producing natural human dynamics, consistent identity preservation over long durations, precise lip sync, and multi-character support using techniques like disentangled guidance, reference skip attention, and Cross-Chunk Latent Stitching.

Image To Video Text To Video Video Editor Video Generator

Pricing

Pricing Model

Free

Starting Price

$0/Month

Key Features

Unified support for AT2V, ATI2V, and long video continuation
Precise lip synchronization with natural facial expressions and body dynamics
Identity preservation across extended sequences using reference skip attention
Multi-character and multi-stream audio handling
Cross-Chunk Latent Stitching for efficient, high-quality long video generation

Pros

Completely open-source under MIT License with full model weights available
Superior expressiveness and natural motion compared to many competitors
Handles long-duration videos without quality degradation or repetition
Supports single and multi-person avatars with seamless audio integration
Strong community interest with integrations like ComfyUI workflows emerging

Cons

Requires powerful GPU hardware (e.g., multiple high-end cards) for inference
Large model size (around 129GB) and complex local setup
No hosted demo or easy web interface; self-hosting needed
Performance may vary across languages and accents

LongCat-Video-Avatar is an excellent choice for developers, researchers, and creators building custom talking avatar applications, digital humans, or long-form animated content with realistic lip sync and dynamics.

FAQs

What is LongCat-Video-Avatar?
LongCat-Video-Avatar is an open-source AI model from Meituan that generates expressive, lip synchronized avatar videos from audio, text, and reference images, supporting long sequences and multi character scenes.
Is LongCat-Video-Avatar free and open-source?
Yes, it’s completely free under the MIT License, with model weights downloadable from Hugging Face for local use and modification.
How do I use LongCat-Video-Avatar?
Clone the GitHub repo, set up a Conda environment with PyTorch and dependencies, download the weights via Hugging Face CLI, and run inference scripts with torchrun (requires high-end GPU(s)).
What makes it stand out for long videos?
It uses innovative techniques like Cross Chunk Latent Stitching and reference skip attention to maintain quality, identity, and natural motion over extended durations without repetition or drift.