Arts, Media, & CommunicationsSTEM

Programming Generative AI: From Variational Autoencoders to Stable Diffusion with PyTorch and Hugging Face

In this course, Jonathan Dinu—a dedicated educator, author, and speaker—presents an interactive tour of deep generative modeling. Learn how to train your own generative models from scratch to create an infinity of images. Discover how you can generate text with large language models similar to the ones that power applications like ChatGPT. Write your own text-to-image pipeline to understand how prompt- based generative models actually work. Plus, personalize large pretrained models like stable diffusion to generate images of novel subjects in unique visual styles. This course offers you an applied resource to complement any theoretical or conceptual knowledge you have.

This course was created by Jonathan Dinu and Pearson. We are pleased to host this training in our library.

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