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We did it! We built the fastest interactive avatar model Introducing LemonSlice-2.1 𝘍𝘭𝘢𝘴𝘩 ⚡ Here’s how we did it using Modal and LiveKit 👇 (note: it was not easy)

239,215 Aufrufe • vor 6 Monaten •via X (Twitter)

74 Kommentare

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@livekit 2/ Latency is everything in conversational AI. We benchmarked ourselves against other leading avatar models. We tied for 1st at p50 and are faster at p75 → p99. For real-time conversations, p90 is often more important than the median.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@livekit /3 Methodology. To easily compare providers, we used the same @livekit agent code and swapped the avatar provider. + 50x measurements per provider + Normalized the human input by using a recording + End-to-end latency measured via audio waveforms

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@livekit /4 Speed alone is not the complete story. LemonSlice is also the only provider that can do whole body, hand-held objects, cartoon mascots, and more.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

5/ There was not a single silver bullet to get here. We shaved off milliseconds at every layer of the stack, including: DiT model architecture, VAE decoder optimizations, CUDA graph stuff and more. @modal has been a great partner in our quest for ultra-low latency. Learn more at Try it for yourself at

Profilbild von Orikan
Orikanvor 6 Monaten

@modal @livekit Much respect for the side-by-side comparison. We don’t always get to see that kind of data.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit 🫡

Profilbild von Lina Colucci
Lina Coluccivor 6 Monaten

@modal @livekit This is what great engineering 🤝 research looks like

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Dream team 💪

Profilbild von Grigori Karapetyan
Grigori Karapetyanvor 6 Monaten

iits really good, but really leaving a lot of use cases on the table by not allowing agent creation by api, let me pass photo, voice, and knowledge and create the agent from api, use it programmatically through your hosted pipeline.. right now if we want to use it with your room pipeline we have to manually create each agent, esentially makes these avatars to be landing page marketing agents or customer support.. the api control would open this up to other use cases, such us allowing our customers to create agent avatars for their agents. if you are not ready for the scale, then i understand. it would drastically increase demand. gotta be ready for it.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

Appreciate the feedback. We generally recommend using the self-managed pipeline for developers who want this type of control. If you still want to use Daily on the frontend, you can try our Pipecat integration. (And if you pair with Pipecat Cloud, you still don't have to self-host).

Profilbild von Sidney Primas
Sidney Primasvor 6 Monaten

@modal @livekit Every milliseconds counts! We spent the past few weeks hunting down every millisecond we could find. This game is won in inches, not yards.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit well said!

Profilbild von Alejo
Alejovor 6 Monaten

@modal @livekit Flash speed avatars… we’re getting scary close to real-time humans

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Agreed! Video generation used to be the slowest part of the avatar stack. Now its one of the fastest!

Profilbild von Dhaval Makwana
Dhaval Makwanavor 6 Monaten

@modal @livekit this feels way faster than most avatar demos I’ve seen

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit 🏎️

Profilbild von Enzo Sanchez | IA
Enzo Sanchez | IAvor 6 Monaten

@modal @livekit Se siente muy rápido 👀 buen trabajo

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit gracias!

Profilbild von Jaynit Makwana
Jaynit Makwanavor 6 Monaten

@modal @livekit latency looks solid here, curious how it holds in real apps

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit latency is additive across the entire stack (LLM, TTS, etc) but our added avatar latency is now minimal

Profilbild von Markandey Sharma
Markandey Sharmavor 6 Monaten

@modal @livekit This is seriously impressive. Real-time avatars are the future and you’re clearly ahead of the curve.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit TY! 🙌

Profilbild von korneel
korneelvor 6 Monaten

@modal @livekit

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Super fast 😎

Profilbild von Advait Paliwal
Advait Paliwalvor 6 Monaten

@modal @livekit Lfg

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit appreciate u!

Profilbild von Ava AI Labs
Ava AI Labsvor 6 Monaten

@modal @livekit Damn… that looks fast

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit 🏎️🏎️🏎️

Profilbild von Saidul
Saidulvor 6 Monaten

@modal @livekit Much respect for a fair side-by-side comparison. We don’t always get to see that kind of data.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit The data doesn't lie.

Profilbild von ZAZA
ZAZAvor 6 Monaten

@modal @livekit Awesomeness is here and fast

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit 🙌

Profilbild von Joshua Primas
Joshua Primasvor 6 Monaten

@modal @livekit ⚡️⚡️⚡️

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit We got it done 💪

Profilbild von Hari
Harivor 6 Monaten

@modal @livekit hell yeah

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit always be shipping 🫡

Profilbild von Shruti Codes
Shruti Codesvor 6 Monaten

@modal @livekit This is the first AI that didn’t feel like a tool, speed changes everything.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit It's all about speed with interactive avatars.

Profilbild von Emma Uses AI
Emma Uses AIvor 6 Monaten

@modal @livekit This is a big improvement honestly

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit so happy to hear it! we agree

Profilbild von BloomOne
BloomOnevor 6 Monaten

@modal @livekit this video is an AI avatar? if so, wow.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Nope, that's the real Lina 🙈

Profilbild von Krishna Agrawal
Krishna Agrawalvor 6 Monaten

@modal @livekit Super impressive work 👏 focusing on p90+ latency is exactly what real-time systems need Love the depth across the stack optimization

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Thank you! The engineering and ML teams really delivered on this one 💪

Profilbild von Nova IA
Nova IAvor 6 Monaten

@modal @livekit Can devs already use this?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Yep!

Profilbild von Sharon Riley
Sharon Rileyvor 6 Monaten

@modal @livekit Amazing work pushing technology forward fast.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Thank you - it was a team effort 💪

Profilbild von Sharon Riley
Sharon Rileyvor 6 Monaten

@modal @livekit Team work makes the dream work. Can we connect over a DM?

Profilbild von Dylan Knox
Dylan Knoxvor 6 Monaten

@modal @livekit Real data comparisons are always appreciated and very convincing for developers like me.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit For a team of engineers and research scientists, it's the only way!

Profilbild von Azer Koçulu
Azer Koçuluvor 6 Monaten

@modal @livekit did you make this video with lemon slice?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit This Lina is real 🙈

Profilbild von Angela Hoover
Angela Hoovervor 6 Monaten

@modal @livekit Epic - congrats!! Excited to try it out ⚡️

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Let us know what you think!

Profilbild von Antonio Costa | IA
Antonio Costa | IAvor 6 Monaten

@modal @livekit This team doesn’t stop shipping

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit and we're just getting started! 🚢

Profilbild von Akansha Khandelwal
Akansha Khandelwalvor 6 Monaten

@modal @livekit This feels insanely fast. LemonSlice 2.1 Flash is on another level.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit A fast response makes all the difference.

Profilbild von Adam
Adamvor 6 Monaten

@modal @livekit Nice! when will this be available?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Developers on our Enterprise plan can start building with it today :)

Profilbild von Potato Dog
Potato Dogvor 6 Monaten

@Krishnasagrawal @modal @livekit Can the real time model act like it’s doing heinous and violent things to me like pretend to skin me alive or smth ?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@Krishnasagrawal @modal @livekit You can connect a LemonSlice avatar to your own LLM with our daily or livekit integration. So... yes?

Profilbild von Potato Dog
Potato Dogvor 6 Monaten

@Krishnasagrawal @modal @livekit Thank you !

Profilbild von KATE
KATEvor 6 Monaten

@modal @livekit Shaving milliseconds off every layer is truly dedicated engineering from the whole team.

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit Engineering + Machine Learning + Infrastructure. Truly a team effort!

Profilbild von NeuraFlow AI
NeuraFlow AIvor 6 Monaten

@modal @livekit Very cool! How fast is this in a real app?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@frasereflex @modal @livekit Try it for yourself on our homepage :) The data doesn't lie.

Profilbild von Timothy Kassis
Timothy Kassisvor 6 Monaten

@modal @livekit Nice!

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit 🚀

Profilbild von Manish Kumar Shah
Manish Kumar Shahvor 6 Monaten

@modal @livekit Love your product!

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit TY 🫶

Profilbild von Leo Chenghui Li
Leo Chenghui Livor 6 Monaten

@modal @livekit Congrats! Does 471ms include TTS or only speech to avatar?

Profilbild von LemonSlice
LemonSlicevor 6 Monaten

@modal @livekit It does not include TTS. That's the time it takes for us to return video once we get the audio from TTS.

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