This repository contains materials for Lecture 3 of the "How Diffusion Models Work" series, presented by deeplearning.ai.
- Sprites by ElvGames, FrootsnVeggies and kyrise.
- This code is modified from minDiffusion GitHub repository.
- The diffusion model is based on the concepts presented in the papers "Denoising Diffusion Probabilistic Models" and "Denoising Diffusion Implicit Models".
This lecture provides an in-depth look at diffusion models, specifically focusing on their application and theory. It leverages sprites and illustrations from ElvGames, FrootsnVeggies, and kyrise to explain complex concepts in an accessible and visually engaging manner.
Please refer to the individual scripts and notebooks for specific instructions on running the code examples and experiments.
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions to this project are welcome. Please refer to the CONTRIBUTING.md for more details.
For questions and feedback, please open an issue in the GitHub issue tracker for this repository.