LongCat-Video is a 13.6B model for text-to-video, image-to-video, and video continuation. It uses a coarse-to-fine approach to generate high-quality, long videos.
About
LongCat-Video is a 13.6B-parameter foundation video generation model developed by Meituan's "Long Cat Team." It supports three core tasks: text-to-video, image-to-video, and video continuation. The model natively generates minute-level long videos without color drift or quality degradation during generation. Built on a coarse-to-fine spatiotemporal generation strategy and block-sparse attention mechanism, it balances generation quality with inference efficiency, making it ideal for researchers and developers with high demands for long-form video generation.
Key Features
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- License: The model is released as an open-source repository under the MIT license, so the code itself can be used free of charge.
- Access: Available via the official GitHub repository (meituan-longcat/LongCat-Video); running the model requires users to provide their own computing resources, and no hosted paid tiers were listed.
- Support: Community support is provided through GitHub Issues on the repository rather than a paid support plan.
Who It's For
LongCat-Video is well-suited for short-video and AIGC content creators, teams working on automated content production, and professionals in gaming, film, and advertising who need dynamic asset generation and previsualization. Released under the MIT license, it is friendly for both academic and commercial use, making it a practical choice for teams looking to quickly integrate high-quality video generation capabilities. As AIGC evolves toward world models, LongCat-Video's long-sequence modeling provides forward-looking technical groundwork for developers seeking a competitive edge.
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