This book provides a comprehensive explanation of the DiffusionAI drawing model, including demonstrations of the most basic components, specific project applications, and an introduction to the underlying design concepts and implementation principles of the Diffusion model. Through this book, readers can quickly grasp the usage of the Diffusion model, master the training and testing processes of AI drawing models, and develop their own AI drawing models.The book consists of 19 chapters, divided into sections for quick start (Chapters 1-2), which outlines the development history of the Diffusion model, deployment methods of the development environment, and quick start demonstrations of the Diffusion model. The section on training methods for document-to-image Diffusion models (Chapters 3-7) demonstrates rapid training of the Diffusion model using high-level API through five practical tasks. The historical development of image generation models (Chapters 8-12) demonstrates several representative image generation models from the pre-Diffusion era. The section on training methods for image-to-image Diffusion models (Chapters 13-15) showcases training methods for image-to-image Diffusion models through three practical projects. The historical development of image-to-image models (Chapters 16-18) demonstrates several image-to-image models from the pre-Diffusion era. The final section on fully manual construction of Diffusion models (Chapter 19) demonstrates the construction, training, and testing methods of building a Diffusion model from scratch.