*:first-child]:mt-0 [&_>*:last-child]:mb-0">
In an age when AI is rapidly reshaping creative practice, Design with Generative AI bridges design and technology to show how artificial intelligence is transforming both the tools and materials of creativity. Understanding AI is now as essential for designers as understanding color or composition. Drawing parallels between past shifts in materiality and today’s algorithmic frontier, the book reveals how machine learning can serve as a new medium for human expression rather than replace it. Written by experts fluent in design thinking and technical innovation, it offers a systematic, accessible framework for creative professionals to harness generative AI with intention and control. Through clear explanations, case studies of key techniques such as diffusion models, ControlNet, and LoRA, and practical demonstrations in real design contexts, it equips readers to engage with AI critically and creatively. Ultimately, the book fosters dialogue between designers and technologists, builds trust in AI as a partner in innovation, and inspires new approaches to visual creation grounded in both technical depth and artistic vision.
Advance Praise:
Design with Generative AI introduces the creative and practical possibilities of artificial intelligence in design, showing how large language and image models can empower rather than replace designers. Kim and Li reimagine design work as a shift from drawing to curation, and from curation to crafting the prompts and protocols that shape intelligent tools: an essential read for designers across disciplines.
--Charles Waldheim, Harvard University Graduate School of Design
This book bridges the gap between technical AI research and practical tutorials that only show how to use particular tools. By explaining the principles of controllable generation the authors demystify how image and video generation models work, and how to use them for creative practice. This comprehensive guide equips creative professionals to move beyond following recipes and engage with AI as a genuine creative medium.
--Lev Manovich, Graduate Center of the City University of New York
A much-needed bridge between design and the underlying mechanisms of generative AI. A clear, practical, and deeply informed book that goes beyond tutorials to build real understanding of a new, emerging discipline of design intelligence.
--Marcelo Coelho, MIT Design Intelligence Lab
In an age when AI is rapidly reshaping creative practice, this book bridges the worlds of design and technology to reveal how artificial intelligence is transforming both the tools and materials of creativity. The book argues that understanding AI — its inner mechanisms, possibilities, and limitations — is now as essential for designers as understanding color or composition. Drawing parallels between historical shifts in materiality and today’s algorithmic frontier, it shows how machine learning can become a new medium for human expression rather than a substitute for it.
Written by experts fluent in both design thinking and technical innovation, Design with Generative AI moves beyond surface-level tutorials to offer a systematic, accessible framework for creative professionals seeking to harness generative AI with intention and control. Through clear explanations of foundational theories, case studies of leading techniques such as diffusion models, ControlNet, and LoRA, and practical demonstrations within real design contexts, the book provides the knowledge and confidence needed to engage with AI critically and creatively.
Ultimately, Design with Generative AI is a guide to AI literacy for the creative community: a resource that encourages dialogue between designers and technologists, fosters trust in AI as a partner in innovation, and inspires new approaches to visual creation rooted in both technological depth and artistic vision.
Lezhi Li
generative AI design workflows Deep learning for Design diffusion models for visual creativity Controllable generation Stable Diffusion ComfyUI for designers LoRA ControlNet style consistency IP-Adapter StyleAligned InstantID Video generation