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Full Description
This book addresses the growing need for architects and designers to critically engage with artificial intelligence in visual and spatial production. It offers a systematic approach to understanding, directing, and constraining generative models.
Combining theoretical insights with technical instructions, the book explains how contemporary AI tools such as latent diffusion models can be employed effectively and responsibly. Rather than relying on AI as an automatic image generator, the book proposes a methodology grounded in control, feedback, and authorship. It introduces practical workflows using platforms - like ComfyUI, MidJourney, Grasshopper and others - to explore constrains, prompt structure, and how procedural logic can be harnessed to produce intentional, coherent results.
Intended for architects, educators, researchers, and students, this volume positions AI not as a substitute for design expertise, but as a configurable system that must be shaped by the disciplinary and ethical priorities of architecture.
Contents
Preface. Acknowledgment. List of Figures. List of Tables. 1. Introduction. PART1: THEORETICAL FOUNDATIONS. 2. Introduction to AI. 3. Core Components of AI. 4. Architectures of Learning: From Perceptrons to Multimodal Intelligence. 5. Latent Space: The Cognitive and Computational Foundation of Generative AI in Architecture. 6. From Stone to Simulation: The Evolution of Tools and Technologies in Architecture. 7. AI Tools in Architectural Practice: From Automation to Epistemic Partnership. 8. A Framework for Critical AI Practice: Ethics, Authorship, and the New Architectural Agency. Part 2: CONTROLLING THE HALLUCINATIONS—A PRACTICAL GUIDE. 9. Prompt Engineering for Architects. 10. MidJourney Interfaces: Discord vs. Web Platform. 11. MidJourney Discord Commands: Annotated Overview. 12. Architectural Scenarios and Command Applications in Discord. 13. Prompt Engineering Components. 14. Video Generation on Midjourney. 15. Midjourney Prompt Parameters Overview. 16. Practical Guide to Using COMFY UI in Architecture. 17. ComfyUI for Image Generation—Checkpoints, Prompts, and Sampling Logic. 18. Latent Conditioning and ControlNet—Precision Through Visual Guides. 19. Architectural Animation in ComfyUI—Video Generation and Consistency Control. 20. Image Preprocessing—Resizing, Scaling, and Alignment in the Latent Pipeline. 21. From Sketch to 3D—Constructing Volumetric Architecture in ComfyUI. 22. Reference-Based Iteration—Controlling Consistency with IPAdapter, ReferenceOnly, and Latent Anchors. 23. Regional Prompting and Multimodal Control—Layered Guidance in Architectural Generation. 24. Integrating AI into Grasshopper with APIs, MCP, and Assistant Plugins. 25. Integrating ComfyUI with Grasshopper—Parametric Data to Prompt-Driven Visualization. 26. KreaAI and Google's Nano Banana. 27. Training and Using Custom LoRA Models—Office-Specific Style Conditioning. 28. Preparing AI Outputs for VR and AR—Toward Immersive Architectural Workflows. 29. Troubleshooting and Optimizing ComfyUI Workflows for Architectural Image Quality. 30. Useful Shortcuts for ComfyUI. Conclusion: From Latent Hallucinations to Architectural Epistemologies of Control. References. Index.
