GitHub – meituan-longcat/LongCat-Video

Meituan’s LongCat-Video: A New Step Toward Smarter Video Generation

If you’ve ever watched an AI video model struggle with consistency, you know the feeling. One second it looks promising, the next it starts drifting, flickering, or just losing track of what it was doing. That’s what makes LongCat-Video interesting. Meituan’s new model, shared on GitHub here, LongCat-Video repository, is designed to push video generation a little further, especially when it comes to longer, more coherent clips.

At the center of this project is a foundational video generation model with 13.6 billion parameters. That’s a lot of moving parts, but what matters more is what it can do. According to the project summary, LongCat-Video performs strongly across Text-to-Video, Image-to-Video, and Video-Continuation tasks. In plain terms, you can describe a scene, provide an image, or continue existing footage, and the model aims to keep things visually stable and believable.

That focus on long-form generation is what stands out. Short clips are one thing. Keeping a scene alive over time, with motion that still feels connected from frame to frame, is where these systems start to feel less like demos and more like tools. Or at least, that’s the direction they’re clearly heading in.

The repository also includes practical setup details, like cloning instructions, dependency installation, and model downloads through Hugging Face. It even notes that FlashAttention-2 is enabled by default, with options to switch to FlashAttention-3 or xformers if you’ve got them installed. That kind of flexibility matters, especially if you’re experimenting on your own machine and trying to squeeze out a bit more performance.

LongCat-Video is released under the MIT License, and the team says community contributions are welcome. That’s always a good sign. Projects like this tend to grow faster when people can actually poke around, test ideas, and share what works.

If you’re following the future of video generation, this is one worth keeping an eye on. The road to world models is still unfolding, but LongCat-Video feels like a meaningful step in that direction.