Generative AI Art

Making an image with generative AI starts with words—but getting from a loose idea to a deliberate visual result takes more than typing a subject into a prompt box. Oliver Theobald’s Generative AI Art introduces the technology behind AI image-making and the creative choices that shape what it produces, from prompt construction to framing, lighting, and image consistency.

Start with the ideas behind AI art

The opening chapters offer an approachable grounding in artificial intelligence, machine learning, and natural language processing. That context helps explain how text-to-image systems interpret prompts, while also giving readers a basis for thinking about their limitations.

Turn a visual idea into a prompt

Prompt writing is a central thread throughout the book. Theobald explores how language guides image generation and discusses useful prompts, parameters, framing, and lighting. Together, these topics encourage a more considered approach to describing what you want an image to show and how it should look.

Explore tools and ways to refine an image

Demonstrations featuring Craiyon and Midjourney provide practical examples of AI-art software in use. Further chapters cover image prompts and masking, consistency, and remixing popular art styles—useful concepts for readers interested in shaping and revising generated imagery rather than stopping at the first result.

Creative possibilities, with important questions

AI-assisted art also raises questions beyond technique. The book addresses image rights, ethics, privacy, and originality, keeping the responsibilities of working with generated images in view alongside the creative possibilities.

A beginner-friendly foundation for creative experimentation

Written as an introduction, this guide suits curious newcomers, artists, and other creative readers who want to understand the main concepts and try AI image-making. Its focus is on durable ideas and methods, not exhaustive instructions for software interfaces that may change over time.