You're reading from Using Stable Diffusion with Python Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781835086377

Length 352 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Andrew Zhu (Shudong Zhu)

View More author details

Table of Contents (29) Chapters

Preface

1. Part 1 – A Whirlwind of Stable Diffusion FREE CHAPTER

2. Chapter 1: Introducing Stable Diffusion

3. Chapter 2: Setting Up the Environment for Stable Diffusion

4. Chapter 3: Generating Images Using Stable Diffusion

5. Chapter 4: Understanding the Theory Behind Diffusion Models

6. Chapter 5: Understanding How Stable Diffusion Works

7. Chapter 6: Using Stable Diffusion Models

8. Part 2 – Improving Diffusers with Custom Features

9. Chapter 7: Optimizing Performance and VRAM Usage

10. Chapter 8: Using Community-Shared LoRAs

11. Chapter 9: Using Textual Inversion

12. Chapter 10: Overcoming 77-Token Limitations and Enabling Prompt Weighting

13. Chapter 11: Image Restore and Super-Resolution

14. Chapter 12: Scheduled Prompt Parsing

15. Part 3 – Advanced Topics

16. Chapter 13: Generating Images with ControlNet

17. Chapter 14: Generating Video Using Stable Diffusion

18. Chapter 15: Generating Image Descriptions Using BLIP-2 and LLaVA

19. Chapter 16: Exploring Stable Diffusion XL

20. Chapter 17: Building Optimized Prompts for Stable Diffusion

21. Part 4 – Building Stable Diffusion into an Application

22. Chapter 18: Applications – Object Editing and Style Transferring

23. Chapter 19: Generation Data Persistence

24. Chapter 20: Creating Interactive User Interfaces

25. Chapter 21: Diffusion Model Transfer Learning

26. Chapter 22: Exploring Beyond Stable Diffusion

27. Index

Why subscribe?

28. Other Books You May Enjoy

Introducing Gradio

Gradio is a Python library that makes it easy to build beautiful, interactive web interfaces for machine learning models and data science workflows. It is a high-level library that abstracts away the details of web development so you can focus on building your model and interface.

The A1111 Stable Diffusion Web UI that we mentioned several times in previous chapters uses Gradio as the user interface, and many researchers use this framework for a quick demo of their most recent work. Here are some reasons why Gradio is the prevailing user interface:

Easy to use: Gradio’s simple API makes it easy to create interactive web interfaces in just a few lines of code
Flexible: Gradio can be used to create a wide variety of interactive web interfaces, from simple sliders to complex chatbots
Extensible: Gradio is extensible, so you can customize the look and feel of your interfaces or add new features
Open source: Gradio is open source, so you...