Damn Fine Stable Diffusion Book

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Create awesome images with AI

By Will Kurt

MEAP began April 2024 Publication in Early 2025 (estimated)

ISBN 9781633436800 275 pages (estimated)

Anyone can create interesting and entertaining images using the powerful Stable Diffusion AI model—no data science required!

If you want to make damn fine images with Stable Diffusion, you need A Damn Fine Stable Diffusion Book. This practical, entertaining, and occasionally irreverent book teaches you how to get the images you want out of Stable Diffusion without a lot of jargon and technical ceremony.

In A Damn Fine Stable Diffusion Book you’ll learn how to:

With A Damn Fine Stable Diffusion Book, you’ll be amazed at what you can create after just the first few lessons. This hands-on book skips the low-level theory and gets on with the business of creating and refining images. Along the way, you'll learn just enough about building your own tools, LoRAs, and fine-tuning models to personalize Stable Diffusion for your needs.

about the book

A Damn Fine Stable Diffusion Book helps you get amazing results out of Stable Diffusion fast. You’ll learn how to create everything from graphics for blogs and websites to hi-resolution desktop wallpapers. Start with the basics of text prompt engineering for image generation, then quickly move on to using the webUI to tweak your outputs to your specifications.

From there, you’ll explore methods for making hi-resolution images, programming Stable Diffusion directly with Python and Hugging Face, utilizing ControlNet for poses, and custom LoRAs for specific styles and images. Finally, you’ll dive into creating your own models with in-depth customization methods you can use to create images of your friends, deliver reusable characters, and apply custom styles. You’ll even learn to make a damn fine cup of coffee!

about the reader

If you can use a command line, install a video game mod, and know the basics of programming, you’re ready to start using this guide.

about the author

Will Kurt is the author of Get Programming with Haskell and Bayesian Statistics the Fun Way. He also writes the Count Bayesie blog. He has done AI and Machine Learning work for over a decade.