In this video, we'll take a deep dive into the inner workings of diffusion models, the state-of-the-art approach for generating realistic and diverse images.

00:00 Introduction
00:27 How Diffusion Models Work
01:07 Denoising Images with U-Net
02:03 Noise Prediction and Removal
03:30 Sampling in Inference and Training
04:02 Time Step Encoding
04:30 Stable Diffusion and Others
05:01 Latent Diffusion
06:25 Image to Image, Inpainting, Outpainting
06:50 Generating Images with Text Prompts
08:04 Classifier-free Guidance and Negative Prompts
09:11 Conclusion