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LongCat Video Avatar

Audio-driven avatar model for long-form video generation

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What is LongCat Video Avatar?

LongCat Video Avatar is a cutting-edge audio-driven avatar generation model designed for long-form video content. Built on open-source state-of-the-art architecture, it excels at producing videos with super-realistic lip synchronization, natural human dynamics, and long-term identity consistency—even across infinite-length sequences.

The model employs a unified multi-mode generation framework supporting Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and audio-conditioned video continuation, offering flexibility for creative and production workflows. Its Cross-Chunk Latent Stitching prevents visual degradation over time, while Disentangled Unconditional Guidance decouples audio and motion to produce natural gestures during silent segments. Reference Skip Attention ensures identity preservation without rigid copy-paste artifacts.

LongCat Video Avatar also supports multi-character interactions with accurate turn-taking and theoretically infinite video length. With a coarse-to-fine generation strategy and Block Sparse Attention, it achieves efficient high-resolution synthesis (up to 720p/30fps), making it suitable for commercial deployment. It powers applications like AI presenters, virtual actors, podcasts, and more.

How to use LongCat Video Avatar

  1. 1

    Upload an audio file and optionally a reference image or text description.

  2. 2

    Select generation mode and configure video length, resolution (up to 720p/30fps), and multi-person support.

  3. 3

    Click Generate to create the lip-sync video with natural gestures and consistent identity.

Key features

Multi-mode generation: AT2V, ATI2V, and audio-conditioned video continuation in a single framework.

Cross-Chunk Latent Stitching prevents quality degradation in long videos.

Disentangled Unconditional Guidance produces natural gestures and idle movements even during silence.

Reference Skip Attention preserves character identity without rigid copy-paste artifacts.

Multi-person support with accurate turn-taking and individual identity retention.

Use cases

  • Generating expressive actor/actress performances with synchronized lip movements and consistent facial identity.
  • Creating rhythm-aware singer videos with body motion aligned to vocals.
  • Producing hours-long podcast or interview videos maintaining consistent appearance and natural gestures.
  • Building professional AI presenters for sales or corporate presentations that handle silent moments smoothly.
  • Multi-character conversations with accurate turn-taking and individual identity preservation.

Best for

Content creatorsVideo producersAI developersDigital artistsMarketing teamsIndie filmmakers

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Frequently asked questions about LongCat Video Avatar

Common questions to help you decide if LongCat Video Avatar is right for you.

It is a state-of-the-art audio-driven AI model for generating long-form avatar videos with realistic lip-sync, natural motion, and stable identity. It supports multi-person and infinite-length sequences.

It uses Cross-Chunk Latent Stitching to prevent pixel degradation and visual noise accumulation, ensuring seamless quality across extended sequences.

The model is open-source and can be accessed for research and development. For production use, platforms like Avatalk offer credit-based plans. Check the official site for details.

Yes, it natively supports multi-person interactions with accurate turn-taking, individual identity preservation, and natural group dynamics.

It is ideal for creating AI presenters, digital actors, podcast animations, singing performances, sales presentations, and multi-character conversations.

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