How diffusion models work - explanation and code!

A gentle introduction to diffusion models without the math derivations, but rather, a focus on the concepts that define the diffusion models as described in the DDPM paper.

Chapters
00:00 - Introduction
00:46 - Generative models
03:51 - Latent space
07:35 - Forward and reverse process
09:00 - Mathematical definitions
13:00 - Training loop
15:05 - Sampling loop
16:36 - U-Net
18:31 - Training code
19:28 - Sampling code
20:34 - Full code

[oiooio]

This is a great conceptual breakdown of diffusion models thank you!

[thelookerful]

So cool! Thank you for your explanations

[pikachu]

I would love a video of you breaking down the math :)

[swapankumarsarkar]

Dear Sir please make a video on details explanation on code of diffusion model . It will be helpful. Thanks for understanding and valuable video

[useoevx]

Can you do code for inpainting in diffusion model please

[shajidmughal]

i came here form your VAE video. after that, should i be doing the 5hr long stable diffusion or this one?? what do you suggest?

[mokirad]

If cant you implement an example in next tutorial like you made for the transformers, it will be great !😊