Diffusion Models

This post introduces diffusion models as a powerful generative capability for image creation. It explains their underlying principles, compares them to other generative models like GANs and VAEs, and highlights their advantages in image realism and stability. The guide covers practical aspects such as getting started with web applications and local installations, and delves into prompt engineering techniques for controlling image generation. It also touches upon the limitations and future applications.