https://news.ycombinator.com/item?id=41463726
Examples are very impressive, here's hoping we get an implementation of it on huggingface soon so we can try it out, and even potentially self-host it later.
Loopy is a Unet-based diffusion model, ours is a diffusion transformer. This is our own custom foundation model we've trained.
For whoever wants to, folks can re-make all the videos themselves with our model by extracting the 1st frame and audio.
Also, Loopy is not available yet (they just published the research paper). But you can try our model today, and see if it lives up to the examples : )
or it is appears to be a straight up grift, wrapping someone else's work with a SPA website.
I don't see other possibilities.
In the AI/research community, people often try to use the same examples so that it's easier to compare performance across different models.
This is EMO from 6 months ago: https://humanaigc.github.io/emote-portrait-alive/
I am curious if you are anyway related to this team?