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Using Stable Diffusion with Python

Using Stable Diffusion with Python

By : Andrew Zhu (Shudong Zhu)
4.8 (5)
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Using Stable Diffusion with Python

Using Stable Diffusion with Python

4.8 (5)
By: Andrew Zhu (Shudong Zhu)

Overview of this book

Stable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques. You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction. By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.
Table of Contents (29 chapters)
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1
Part 1 – A Whirlwind of Stable Diffusion
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8
Part 2 – Improving Diffusers with Custom Features
15
Part 3 – Advanced Topics
21
Part 4 – Building Stable Diffusion into an Application

Part 1 – A Whirlwind of Stable Diffusion

Welcome to the fascinating world of Stable Diffusion, a rapidly evolving field that has revolutionized the way we approach image generation and manipulation. In the first part of our journey, we’ll embark on a comprehensive exploration of the fundamentals, laying the groundwork for a deep understanding of this powerful technology.

Over the next six chapters, we’ll delve into the core concepts, principles, and applications of Stable Diffusion, providing a solid foundation for further experimentation and innovation. We’ll begin by introducing the basics of Stable Diffusion, followed by a hands-on guide to setting up your environment for success. You’ll then learn how to generate stunning images using Stable Diffusion, before diving deeper into the theoretical underpinnings of diffusion models and the intricacies of how Stable Diffusion works its magic.

By the end of this part, you’ll possess a broad understanding of Stable Diffusion, from its underlying mechanics to practical applications, empowering you to harness its potential and create remarkable visual content. So, let’s dive in and discover the wonders of Stable Diffusion!

This part contains the following chapters:

  • Chapter 1, Introducing Stable Diffusion
  • Chapter 2, Setup Environment for Stable Diffusion
  • Chapter 3, Generate Images Using Stable Diffusion
  • Chapter 4, Understand the Theory behind the Diffusion Models
  • Chapter 5, Understanding How Stable Diffusion Works
  • Chapter 6, Using the Stable Diffusion Model
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