Coding Stable Diffusion from scratch in PyTorch

Full coding of Stable Diffusion from scratch, with full explanation, including explanation of the mathematics. Visual explanation of text-to-image, image-to-image, inpainting

Repository with PDF slides: https://github.com/hkproj/pytorch-sta...

Prerequisites:
1) Transformer explained: Attention is all you need (Transforme...

Chapters
00:00:00 - Introduction
00:04:30 - What is Stable Diffusion?
00:05:40 - Generative Models
00:12:07 - Forward and Reverse Process
00:17:44 - ELBO and Loss
00:20:30 - Generating New Data
00:22:20 - Classifier-Free Guidance
00:31:00 - CLIP
00:33:20 - Variational Auto Encoder
00:37:26 - Text to Image
00:39:54 - Image to Image
00:41:40 - Inpainting
00:44:30 - Coding the VAE
01:54:50 - Coding CLIP
02:09:10 - Coding the Unet
03:04:40 - Coding the Pipeline
03:53:00 - Coding the Scheduler (DDPM)
04:38:00 - Coding the Inference code