Hands-On Generative AI with Transformers and Diffusion Models

By: Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

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eText | 22 November 2024 | Edition Number 1

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Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains.

This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work.

Build and customize models that can generate text and images
Explore trade-offs between using a pretrained model and fine-tuning your own model
Create and utilize models that can generate, edit, and modify images in any style
Customize transformers and diffusion models for multiple creative purposes
Train models that can reflect your own unique style