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andrew-w
Joined 27 karma

  1. Thanks for trying it out! character.ai has put their model behind a waitlist, so it's hard to compare. As far as I can tell, they don't appear to make any specific claims about speed or interactivity in their press release.
  2. thanks for trying us out!
  3. Just added a signup at the bottom of the technical report: https://lemonslice.com/live/technical-report
  4. glad to bring a little joy into the world :)
  5. It works with any style of character! Check out the embedded videos in our tech report. Peachy and the toilet are my favorite. https://lemonslice.com/live/technical-report
  6. Thanks! We think we can cut down the latency to <2s which should make it feel even more natural.
  7. Thanks! What kind of use case are you thinking about?
  8. It's something we are considering. What use cases do you have in mind?
  9. We've been very inspired by interactive character experiences powered by traditional VFX + puppetry (turtle talk with crush is a favorite). I think that sort of interactive entertainment will become more commonplace as tech like ours continues to improve. Looking forward to connecting!
  10. Thanks for the feedback. This is definitely a demo where every piece matters for maximizing the enjoyment factor. We spent the most effort on optimizing video quality and latency, but not a lot on tweaking the character prompts that go into the LLM. Turns out that matters a lot too.
  11. Not relying on facial keypoints means we can animate a wide range of non-humanoid characters. My favorite is talking to the Doge meme.
  12. One way this differs is in the model architecture. Our approach relies on a single pass of a diffusion transformer (DiT), whereas Live Portrait relies on intermediate representations and multiple distinct modules. Getting a DiT to be real-time was a big part of our work. Quoting the Live Portrait paper: "Diffusion-based portrait animation methods [...] are usually [too] computationally expensive." As you hinted at, we had to compromise on resolution to get there (this demo is 256x256), but we think that will improve over time.
  13. I spent about 2 hours recording videos with different characters. Of course, the one I made as a joke for myself and never intended to share was the most enjoyable to watch :)
  14. Just added as a public character :)
  15. Thanks for the feedback. Optimizing for speed meant we had fewer LLMs to choose from. OpenAI had surprisingly high variance in latency, which made it unusable for this demo. I think we could probably do a better job with prompting for some of the characters.
  16. We're back online! One of our cache systems ran out of memory. Oops. Agree on improved messaging.
  17. We've talked about doing something like that. Feels like it should work in theory.
  18. Cool use case! Thanks for sharing your thoughts.
  19. Makes sense, thank you!
  20. I agree, I think power users are happy to go to specific platforms, but APIs open up more use cases that can reach a broader audience. What kind of application would you use it for? We don't have specific plans at the moment, but are gauging interest.

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