LongCat Video is a unified AI model for text-to-video, image-to-video, and seamless video continuation, offering high-quality long-form content generation with efficient performance. Built on a dense 13.6B parameter architecture, it delivers cinematic motion and temporal coherence without sacrificing speed or scalability.
Key benefits include:
- Three Tasks, One Model: Supports text-to-video, image-to-video, and video continuation within a single efficient framework.
- Efficient Inference: Achieves 720p 30fps generation using Block Sparse Attention and coarse-to-fine strategies for speed and quality balance.
- Professional Continuation: Pretrained for long-sequence understanding, ensuring stable characters, consistent motion, and no color drift in extended videos.
- Multi-Reward RLHF Optimization: Enhances narrative quality, emotional consistency, and realistic continuity across diverse scenarios.
- MIT Licensed & Open Source: Completely free for commercial use, modification, and deployment with community-driven development.
Perfect for content creators, filmmakers, and digital artists who want to generate high-fidelity, long-form videos with open-source flexibility and cinematic-grade results.
