LongCat Video Avatar Guide 2026: 5-Minute AI Video Generation

LongCat Video Avatar generates 5-minute+ videos with consistent character identity and stable lip-sync. The 13.6B parameter Diffusion Transformer model handles Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and video continuation in a single unified architecture.

For broader context on LongCat's long-form capabilities, see our LongCat Video extended duration coverage.

Technical Architecture

LongCat Video Avatar uses three key mechanisms to maintain character consistency across extended durations.

Disentangled Unconditional Guidance decouples speech signals from motion. Characters behave naturally during silent segments instead of freezing or generating artifacts. The model understands that silence doesn't mean stillness.

Reference Skip Attention preserves character identity without copy-paste artifacts. Older models like InfiniteTalk produce rigid duplications. LongCat generates natural variations while maintaining recognizable identity.

Cross-Chunk Latent Stitching eliminates redundant VAE cycles. This prevents pixel degradation in long sequences. The model stitches latent representations directly, maintaining quality throughout 5-minute+ generations.

Video Examples: Character Consistency

Performance and Acting

The model maintains facial features, clothing, and body type across extended sequences.

Singing and Lip-Sync

Complex audio-to-motion synchronization including singing.

Podcast and Dialogue

Extended dialogue scenarios with natural pauses and speech patterns.

Sales and Presentation

Professional presentation scenarios with consistent character appearance.

Multi-Character Scenes

Multiple identities within the same generation maintaining individual consistency.

5-Minute Continuous Generation

Full 5-minute sequence demonstrating sustained quality and consistency.

Installation Guide

LongCat Video Avatar is open source and available for commercial use. The model weights are hosted on Hugging Face.

Requirements

• Python 3.8 or higher
• CUDA-capable GPU (12GB VRAM minimum for FP8 version)
• Git and Git LFS installed

Step 1: Clone Repository

git clone --single-branch --branch main https://github.com/meituan-longcat/LongCat-Video
cd LongCat-Video

Step 2: Install Dependencies

pip install -r requirements.txt

Step 3: Download Model Weights

Install Hugging Face CLI:

pip install huggingface-hub

Download weights to the correct directory:

huggingface-cli download meituan-longcat/LongCat-Video-Avatar --local-dir ./weights/LongCat-Video-Avatar

Step 4: Verify Installation

Check that weights downloaded correctly:

ls ./weights/LongCat-Video-Avatar

You should see model checkpoint files and configuration.

ComfyUI Integration

LongCat Video Avatar works with ComfyUI through Kijai's WanVideoWrapper.

Install WanVideoWrapper

1. Open ComfyUI Custom Nodes Manager
2. Search for "WanVideoWrapper"
3. Install the node pack
4. Restart ComfyUI

Configuration Settings

Audio CFG: Set between 3 and 5 for optimal lip synchronization. Lower values (3) produce more natural motion. Higher values (5) create tighter audio-to-video correspondence.

Overlap Frames: Set to 13-16 for standard avatar extension. Use 0 for pure Text-to-Video generation without continuation.

VRAM Optimization: The FP8 version runs on 12GB VRAM cards. The full precision version requires 24GB+.

Comparison: LongCat vs Google Veo 3.1

Google Veo 3.1 generates high-quality general video content. LongCat Video Avatar specializes in character consistency and lip-sync across extended durations.

Duration: Veo 3.1 generates up to 10 seconds. LongCat Avatar generates 5+ minutes continuously.

Character Consistency: Veo 3.1 handles short character appearances. LongCat Avatar maintains identity across minute-scale sequences.

Lip-Sync: Veo 3.1 provides basic audio sync. LongCat Avatar uses dedicated audio-to-motion models for precise synchronization.

Use Case: Veo 3.1 works for general content and short clips. LongCat Avatar suits presentations, podcasts, performances, and extended character-driven content.

For content requiring a specific character delivering 5-minute monologues or performances, LongCat's dedicated architecture provides stability that general models lack.

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AI FILMS Studio provides access to multiple AI video, image, and audio generation models.

• Video Generation: Multiple models including Runway, Sora, Kling AI, Google Veo
• LipSync & Voice: ElevenLabs, AI Voice Generator
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• Project Organization: Manage complex multi-model productions

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License and Commercial Use

LongCat Video Avatar is open source and available for commercial use. The code is released under a permissive license allowing commercial applications.

You can use LongCat Video Avatar in:

• Commercial video production
• Client projects
• Monetized content
• Product development

No separate commercial license required. The model weights, code, and documentation are freely available.

Optimization Settings

Audio CFG Range

Test values between 3 and 5 to find optimal lip-sync for your content. Start with 4 as a baseline.

CFG 3: More natural motion, looser audio sync CFG 4: Balanced motion and sync (recommended starting point) CFG 5: Tighter sync, more direct audio-to-motion mapping

Overlap Frames for Extensions

13-16 frames: Use for extending existing avatar videos. Provides smooth transitions between chunks. 0 frames: Use for generating new videos from text/audio only. No overlap needed.

VRAM Management

12GB Cards: Use FP8 precision version. Slightly reduced quality, significantly lower memory usage. 24GB+ Cards: Use full precision for maximum quality.

Applications

LongCat Video Avatar suits specific content types requiring extended character consistency.

Presentations and Tutorials: Create 5-minute+ instructional videos with consistent presenter appearance.

Podcast Video: Generate video for audio podcast content with host avatars.

Product Demonstrations: Show products with consistent spokesperson across extended explanations.

Educational Content: Create lecture or lesson videos with consistent instructor avatar.

Performance and Entertainment: Generate singing performances or comedy sets with character continuity.

Key Takeaways

5-Minute+ Generation: Continuous video generation exceeding typical 5-10 second limits.

13.6B Parameters: Large-scale Diffusion Transformer model for high-quality output.

Unified Architecture: Handles AT2V, ATI2V, and video continuation in single model.

Stable Lip-Sync: Dedicated audio-to-motion modeling for accurate synchronization.

Character Consistency: Maintains identity, clothing, and appearance across full duration.

Open Source: Available for commercial use without licensing fees.

ComfyUI Support: Integrates with existing workflows through WanVideoWrapper.

12GB VRAM Option: FP8 version accessible on consumer hardware.

For additional context on LongCat's broader capabilities including 15-minute generation and technical architecture, see our extended LongCat Video coverage.

Official Project Sources

Project Page: https://meigen-ai.github.io/LongCat-Video-Avatar/

GitHub Repository: https://github.com/meituan-longcat/LongCat-Video

Model Weights (Hugging Face): https://huggingface.co/meituan-longcat/LongCat-Video-Avatar

Technical Paper: arXiv:2510.22200