This repository contains the implementation of DDPM for image generation on the CIFAR-10 dataset. Diffusion models have shown promising results in image synthesis tasks, and this project aims to provide a simple yet effective implementation for generating high-quality images using the CIFAR-10 dataset.
To train the diffusion model, run 'Diffusion_model.ipynb'.
This project is licensed under the MIT License - see the LICENSE file for details.
This implementation is based on the research and work of the diffusion model community. We would like to thank the researchers and developers who have contributed to this field.
By following these steps, users can easily implement and experiment with diffusion models on the CIFAR-10 dataset.