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Looks like there is some quality reduction, but nonetheless 2s to generate a 5s video on a 5090 for WAN 2.1 is absolutely crazy. Excited to see more optimizations like this moving into 2026.
Efficient realtime video diffusion will revolutionize the way people use computers even more so than LLMs.

I actually think we are already there with quality, but nobody is going to wait 10 minutes to do a task with video that takes 2 seconds with text.

If Sora/Kling/whatever ran cool locally 24/7 at 60FPS, would anyone ever build a UI? Or a (traditional) OS?

I think it's worth watching the scaling graph.

I mean the baselines were deliberately worse and not how someone would be using these to begin with maybe noobs and the quoted number is only for DIT steps not for other encoding and decoding steps, which is actually quite high still. No actual use of FA4/Cutlass based kernels nor TRT at any point.
Now if someone could release an optimization like this for the M4 Max I would be so happy. Last time I tried generating a video it was something like an hour for a 480p 5-second clip.
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maybe wait for M5 Max and new MLX.
Having the ability to do real-time video generation on a single workstation GPU is mind blowing.

I'm currently hosting a video generation website, also on a single GPU (with a queue), which is also something I didn't even think possible a few years ago (my show HN from earlier today, coincidentally: https://news.ycombinator.com/item?id=46388819). Interesting times.

Video AI acceleration is tricky, where many of the currently in use acceleration loras and cache level accelerations have a subtle at first impact on the generated video, which renders these accelerations as poison for video work: the AI's become dumber to the degree they can't follow camera directions, and the character performances suffer, the lip sync becomes a lip flap, and the body motions are reduced in quality, and become repetitive.

Now, I've not tested TurboDiffusion yet, but I am very actively generating AI video, I probably did a half hour of finished video clips yesterday. There is no test for this issue yet, and for the majority it is yet to be realized as an issue.