DEIS, or Diffusion Exponential Integrator Sampler, is a fast and accurate sampling algorithm for diffusion models. It is based on the exponential integrator, a numerical method for solving ordinary differential equations (ODEs).

DEIS works by discretizing the diffusion process into a series of steps. At each step, the exponential integrator is used to update the state of the diffusion process. This update is based on the current state of the process and the diffusion kernel.

DEIS has several advantages over other sampling algorithms. First, it is very fast. It can generate high-quality samples in as few as 10 steps. Second, it is very accurate. It can produce samples that are indistinguishable from real images. Third, it is very versatile. It can be used with any type of diffusion model.

DEIS is a powerful tool for generating realistic and creative content. It is used in a variety of applications, including image generation, text-to-image synthesis, and video generation.