Publisher's Synopsis
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
