SPEEDING UP DIFFUSION MODELS WITH ASYNCDIFF

Summary from the TLDR AI newsletter

AsyncDiff is a new acceleration scheme that enables parallel computation in diffusion models. It significantly reduces latency without compromising quality by dividing the noise prediction model into multiple components and running them on separate devices.