Beyond Slop

If you want to make damn fine images with Stable Diffusion, you need this 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.  With this 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.  In Beyond Slop you'll learn how to:  • Write image generation prompts that actually work • Use custom models to dramatically improve your images • Tweak Stable Diffusion to get your images just right • Work from the command line and the Web UI • Automate workflows with the Hugging Face Diffusers library • Create your own custom Stable Diffusion tools  About the book  Beyond Slop helps you get amazing results out of Stable Diffusion fast. You'll learn how to create everything from graphics for blogs and websites to high-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.