Modern AI image generators can create stunning images from a simple text prompt. But they do not start with a blank canvas. They start with random noise.
In this video, we explain how diffusion models work: how images are destroyed during training, how the model learns to reverse that process, and how noise slowly becomes structure. We also look at text guidance, latent space, denoising, and why this process is behind many modern AI image generators.
By the end, you will understand the basic idea behind how AI turns chaos into images.