Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization

Travis Zhang, Christian Belardi, Justin Lovelace +4

Sampling from a diffusion model typically requires many forward passes through a large neural network, making generation computationally expensive. While much work has focused on e…