We are officially winding down the bAInance Labs DAO.
Over the past year, we’ve supported open research initiatives and successfully returned more than 3x adjusted capital to our DAO holders.
DAO tokens can be burnt to redeem proportional assets from the labs treasury on https://t.co/6gg0MU3bhT
Introducing the Dream Engine - a unified framework for advanced text-to image control
https://t.co/IT5oH63FEk
DE is an improvement built by replacing @StableDiffusion 3's text encoder - adding a blending mechanism that improves consistency of objects in AI generated images
Introducing the Dream Engine - a unified framework for advanced text-to image control
https://t.co/IT5oH63FEk
DE is an improvement built by replacing @StableDiffusion 3's text encoder - adding a blending mechanism that improves consistency of objects in AI generated images
@Yuchenj_UW depends on how you view the "aha" moment!
for the R1-V, our "aha" moment was the performance increase
the visualThinker-R1's "aha" moment was the increase in response length
Excited to introduce R1-V!
We use RL with verifiable rewards to incentivize VLMs to learn general counting abilities.
2B model surpasses the 72B with only 100 training steps, costing less than $3.
The project will be fully open source.
Stay tuned!
https://t.co/2lmRGbEmMH