๐ฅย This is it. This changes everything. ๐ฅ
For the first time in history,
#AIavatars
are able to understand what they're saying.
Powered by our new AI avatar model, EXPRESS-1, they can detect sentiment of a script and perform all the subtle nuances of human communication.
Theโฆ
How do we make Expressive AI avatars *actually* understand what theyโre saying?
Our CTO
@jnstrck
has the answer ๐
Btw - Expressive
#AIAvatars
are now available in Synthesia, and also here (for free):
๐
The folks at the
@BBC
paid us a visit recently and we got to turn their tech reporter
@JamesClayton5
into an Expressive AI Avatar.
Thank you for the very pleasant visit and the great snippet bellow.๐ท ๐
(watch the full episode of BBC Click on iPlayer)
Wild. AI avatars can now interpret text automatically.
Synthesia just released a new diffusion model called EXPRESS-1, which allows AI avatars to understand a script and adjust performance on the spot.
Direct link to access and try it below.
Thanks to
@TomMackenzieTV
for having us in the
@BloombergTV
studio this morning to talk about our new Expressive AI Avatars that launched today, and the business opportunities for creating video with AI.
Check out his interview with Synthesia CEO and co-founder
@vriparbelli
!
Introducing Expressive Avatars, a new family of fully generative AI digital humans powered by the EXPRESS-1 model from
@synthesiaIO
Timestamps:
02:35 - An introduction to Synthesia
03:40 - How Synthesia makes video editing easy for everyone
04:35 - Why communicating withโฆ
AI avatars with emotions, expressions and acting skills are now live. Built on our EXPRESS-1 model.
Free to try, link below โ use emotional scripts for best effect ๐
Breaking:
@SynthesiaIO
has launched the worldโs first expressive
#AI
Avatars ๐ฅ
With natural movements, speech, and emotion, Synthesiaโs realistic avatars can accurately understand instructions โ and generate unique, human-like responses โ
The latest generation of AI avatars.
@synthesiaIO
"expressive avatars" is wild: smiling, frowning, doubting, blinking, sadness, anger...
I share a few more examples bellow: