Summary

In this chapter, we first learned how diffusion works for image generation. We then trained a custom diffusion model using PyTorch and Hugging Face on a dataset of anime images. Next, we extended our understanding of diffusion models by learning about text-to-image generation. Finally, we used the Stable Diffusion V1.5 model available from Hugging Face to generate high-quality images from text.