https://github.com/g4vrel/ddpm
A PyTorch implementation of DDPM
https://github.com/g4vrel/ddpm
classifier-free-guidance ddpm diffusion implementation-of-research-paper paper-implementation pytorch
Last synced: 7 months ago
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A PyTorch implementation of DDPM
- Host: GitHub
- URL: https://github.com/g4vrel/ddpm
- Owner: g4vrel
- License: mit
- Created: 2024-08-13T11:07:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-22T22:04:38.000Z (11 months ago)
- Last Synced: 2025-01-25T22:21:42.766Z (8 months ago)
- Topics: classifier-free-guidance, ddpm, diffusion, implementation-of-research-paper, paper-implementation, pytorch
- Language: Python
- Homepage:
- Size: 326 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DDPM
A PyTorch implementation of [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239).
Here are some images generated by the model trained on CIFAR-10, using [classifier-free guidance](https://arxiv.org/abs/2207.12598) and [cosine scheduling](https://arxiv.org/abs/2102.09672):
My objective was only to generate images. If you're looking for a more comprehensive implementation, I suggest taking a look at [this codebase](https://github.com/openai/improved-diffusion).
The reference that helped me the most by far was [What are diffusion models?](https://lilianweng.github.io/posts/2021-07-11-diffusion-models/), by Lilian Weng.
#### Dependencies:
- numpy
- pytorch
- pytorch lightning
- wandb
- [einops](https://einops.rocks/)
- pyyaml
## References
```bibtex
@article{ho2020denoising,
title = {Denoising Diffusion Probabilistic Models},
author = {Jonathan Ho and Ajay Jain and Pieter Abbeel},
year = {2020},
journal = {arXiv preprint arxiv:2006.11239}
}
```
```bibtex
@article{weng2021diffusion,
title = "What are diffusion models?",
author = "Weng, Lilian",
journal = "lilianweng.github.io",
year = "2021",
month = "Jul",
url = "https://lilianweng.github.io/posts/2021-07-11-diffusion-models/"
}
```
```bibtex
@misc{ho2022classifierfreediffusionguidance,
title = {Classifier-Free Diffusion Guidance},
author = {Jonathan Ho and Tim Salimans},
year = {2022},
eprint = {2207.12598},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2207.12598},
}
```
```bibtex
@misc{nichol2021improveddenoisingdiffusionprobabilistic,
title = {Improved Denoising Diffusion Probabilistic Models},
author = {Alex Nichol and Prafulla Dhariwal},
year = {2021},
eprint = {2102.09672},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2102.09672},
}
```