References

1. The Annotated Diffusion Model – https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/annotated_diffusion.ipynb#scrollTo=c5a94671
2. Training with Diffusers – https://colab.research.google.com/gist/anton-l/f3a8206dae4125b93f05b1f5f703191d/diffusers_training_example.ipynb
3. Diffusers – https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/diffusers_intro.ipynb#scrollTo=PzW5ublpBuUt
4. Jonathan Ho et al., Denoising Diffusion Probabilistic Models – https://arxiv.org/abs/2006.11239
5. Steins, Diffusion Model Clearly Explained! – https://medium.com/@steinsfu/diffusion-model-clearly-explained-cd331bd41166
6. Steins, Stable Diffusion Clearly Explained! – https://medium.com/@steinsfu/stable-diffusion-clearly-explained-ed008044e07e
7. DeepFindr, Diffusion models from scratch in PyTorch – https://www.youtube.com/watch?v=a4Yfz2FxXiY&t=5s&ab_channel=DeepFindr...