Preface

When Stable Diffusion was released on August 22, 2022, this Diffusion-based image generation model quickly caught the attention of the whole world. Both its model and source code are completely open source and hosted on GitHub. With millions of community participants and users, numerous new and mixed models have been released. Tools such as Stable Diffusion WebUI and InvokeAI have been created.

While the Stable Diffusion WebUI tool can generate fantastic images driven by the diffusion model, its usability is limited. The open source Diffusers package from Hugging Face allows users to have full control over Stable Diffusion using Python. However, it lacks many key features, such as loading custom LoRA models and Textual Inversion, utilizing community-shared models/checkpoints, scheduling and weighted prompts, unlimited prompt tokens, fixing the resolution of the images, and upscaling. This book will assist you in overcoming the limitations of Diffusers and implementing the advanced features to create a fully customized and industrial-level Stable Diffusion application.

By the end of this book, you will be able to not only use Python to generate and edit images but also leverage the solutions provided in the book to build Stable Diffusion applications for your business and users.