Prism turned up on r/StableDiffusion twice before lunch. It is a joint video and audio model from Tencent Hunyuan and Fudan, it makes picture and sound in one pass, and the project page puts it beside Kling 3, MiniMax H3, Wan 3.0 and Seedance 2.5. The paper is about a sparse attention trick that makes training at 2K affordable.
The two things everyone repeated today are that it does native 2K and that it is MIT licensed. One of those is further along than people think and the other is not there yet.
The licence is the good news, and it is better than the headline
We opened the licence file rather than the badge, because reading a summary of one is how we got a different licence wrong in public in August.
It is a Tencent wrapper around the MIT text. One sentence in it does the work:
For the avoidance of doubt, Prism refers solely to code, parameters and weights made publicly available by Tencent in accordance with MIT.
Parameters and weights, named explicitly. Plenty of releases put MIT on the code and something else on the model. This one puts it on both.
The file also lists the third-party components that keep their own terms, which is where a permissive headline usually unravels. Here the list has exactly one entry, a component called MOVA-360p, under Apache 2.0. Both of those licences are permissive, so there is no research-only clause hiding one layer down.
Two notes before anyone takes that as advice. GitHub’s own licence detector reports the repository as unidentified, because the file is Tencent’s wrapper containing the MIT text plus the Apache text rather than a bare MIT file. That is a formatting artefact rather than a restriction, and it will mislead you if you check licences from the sidebar. And we are not lawyers. The file is short, it is in the repository, read it yourself before you build anything on it.
The 2K is the part that has not landed
We listed the model repository. Every published checkpoint sits in one directory, and the directory is called MOVA-360p: the video transformer in three shards, a second video transformer, the audio transformer, both VAEs, the bridge between them, and a text encoder. Alongside those are two loose files named preview alpha and preview beta.
So what you can download this evening is a 360p preview. The 2K in the headline is what the training method is for, demonstrated in the example outputs, and not what is sitting on the shelf.
That is not a criticism. It is a preview and the repository says so. We are saying it plainly because by tomorrow the sentence travelling around will be that there is an MIT licensed 2K video model you can run, and somebody with a 12 GB card is going to spend an evening finding out otherwise.
One more number from the same page. Thirty day downloads: zero. Ninety three likes. Every opinion published about this model today, including the comparisons against H3, comes from watching the demo videos.
Why we are paying attention anyway
Picture with sound in one pass is the thing we build on. Our episodes use MiniMax H3 for exactly that, and H3 is excellent at it and comes with an authorization process we went through. A permissively licensed model in the same category would be a different kind of tool, not because it is better, but because nothing stands between a hobbyist and using it.
That is the only reason this is on the front page of our note instead of buried. Not the benchmark table. The sentence about parameters and weights.
What we will do, when the weights are worth a bench slot, is what we always do. Run it on our own card, at our own prompts, against the thing we currently ship with, and publish the numbers including the ones that make it look worse. Today there is nothing to measure.
A daily note from our news radar. The week gets the full treatment in the DIY AI Brief every Monday.