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Diffusion Models - PyTorch Implementation

Outlier via YouTube

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Overview

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This course implements diffusion models from scratch in PyTorch. It covers unconditional and conditional image generation, UNet architecture, training, classifier-free guidance, and exponential moving averages using CIFAR-10.

Syllabus

Introduction
Recap
Diffusion Tools
UNet
Training Loop
Unconditional Results
Classifier Free Guidance
Exponential Moving Average
Conditional Results
Github Code & Outro

Taught by

Outlier

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Subramaniam Shanmugavelu
    Subramaniam Shanmugavelu @subra
    Very quick learning Diffusion Models. Initially I was skeptical about the time duration. Once the course started, I was convinced it is going to be good.
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