n of their Stable Diffusion model eliminates some of the residual and attention blocks from the UNet, reducing the model size by 51% and improving latency on CPU/GPU by 43%. Read this blog post to learn more about how knowledge distillation training works to produce a faster, smaller, and cheaper generative model. Let’s load the distilled Stable Diffusion model and compare it against the original Stable Diffusion model:   Copied from diffusers 