GitHub – meituan-longcat/LongCat-Video

You can explore the repository here: https://github.com/meituan-longcat/LongCat-Video

LongCat-Video is one of those projects that feels more interesting the longer you sit with it. On the surface, it’s a GitHub repository for a video generation model. Underneath, it’s Meituan putting a fairly serious piece of infrastructure into the open, a 13.6B parameter foundational model built for Text-to-Video, Image-to-Video, and Video-Continuation.

That last part matters. A lot of video demos look good for a few seconds and then wobble. You know the feeling, the motion drifts, the object shape changes, the scene loses itself. LongCat-Video is aimed at longer generations, which is where these systems stop being impressive on a slide and start becoming useful in practice.

The team says this is their first step toward world models, which is a big phrase, but the practical takeaway is easier to grasp. They’re working toward models that don’t just spit out isolated clips, but maintain continuity over time. That’s the real problem in video generation, keeping track of what happened a second ago so the next frame still makes sense.

The repo also gives you the kind of implementation details people actually need. FlashAttention-2 is enabled by default, with support for FlashAttention-3 or xformers if you install them. Model downloads go through huggingface-cli, and the weights are released under the MIT License. That makes experimentation and follow-on work much easier, especially for teams that want to evaluate the model without getting stuck in licensing fog.

There’s also a quiet signal in the README worth noting, community contributions are welcome, and the team is inviting PRs and issue reports for related work. That usually means the project isn’t being treated as a closed artifact. It’s meant to move.

If you’re tracking where video generation is heading, LongCat-Video is worth your attention. Not because it promises magic, but because it’s focused on the hard part, longer sequences, stable continuity, and a path from flashy clips toward something more structured, more usable, and a lot closer to real production work.