LongCat-Video is a foundational video generation model that performs text-to-video, image-to-video, and video-continuation generation tasks.
The model addresses the challenge of generating long, high-quality videos efficiently. It combines a 13.6 billion parameter architecture designed to handle extended video sequences while maintaining visual coherence and quality across multiple generation modalities. The approach enables users to generate videos from text prompts, extend existing images into video sequences, or continue video clips seamlessly.
The tool suits projects requiring flexible video generation capabilities across different input types. It is particularly valuable for applications prioritizing long-form video synthesis where maintaining quality over extended durations is critical. Teams building video creation pipelines, content generation systems, or exploring video-based world models will find the multi-modal input support and long-sequence generation efficiency most relevant.
The project maintains active development with regular updates to both the core model and specialized variants. Documentation and technical reports are provided alongside model releases, and the codebase is accessible through multiple distribution channels for researchers and practitioners.
