ML//diffusion model

- Add noise step by step until pure static, then train a neural net to reverse the process.

Add noise step by step until pure static, then train a neural net to reverse the process.

Generation = iterative denoising from random noise.

Stable training (no mode collapse), high-quality outputs, but slow inference (many steps)