Forward Noising & Reverse Denoising

A diffusion model works in two directions: it slowly adds noise to an image, then learns to walk that process back to a clean picture. 🌫️

The forward process is fixed and needs no learning. It just keeps mixing tiny bits of Gaussian noise into your image, step after step.