Learn how to use generative media techniques with AI to create novel images or music in this
practical hands-on guide. Data scientists and software engineers will understand how
state-of-the-art generative models work how to fine-tune and adapt them to your needs and how
to combine existing building blocks to create new models and creative applications in different
domains. This book introduces theoretical concepts in an intuitive way with extensive code
samples and illustrations that you can run on services such as Google Colaboratory Kaggle or
Hugging Face Spaces with minimal setup. You'll learn how to use open source libraries such as
Transformers and Diffusers conduct code exploration and study several existing projects to
help guide your work. Learn the fundamentals of classic and modern generative AI techniques
Build and customize models that can generate text images and sound Explore trade-offs between
training from scratch and using large pretrained models Create models that can modify images
by transferring the style of other images Tweak and bend transformers and diffusion models for
creative purposes Train a model that can write text based on your style Deploy models as
interactive demos or services
