Using Stable Diffusion with Python
eBook Details:
- Paperback: 352 pages
- Publisher: WOW! eBook (June 3, 2024)
- Language: English
- ISBN-10: 1835086373
- ISBN-13: 978-1835086377
eBook Description:
Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion. Master AI image generation by leveraging GenAI tools and techniques such as diffusers, LoRA, textual inversion, ControlNet, and prompt design.
Stable Diffusion is a game-changing AI tool for image generation, enabling you to create stunning artwork with code. However, mastering it requires an understanding of the underlying concepts and techniques. This Using Stable Diffusion with Python book guides you through unlocking the full potential of Stable Diffusion with Python.
Starting with an introduction to Stable Diffusion, you’ll explore the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You’ll learn how to optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. After 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 application. This book also delves 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.
- Explore core concepts and applications of Stable Diffusion and set up your environment for success
- Refine performance, manage VRAM usage, and leverage community-driven resources like LoRAs and textual inversion
- Harness the power of ControlNet, IP-Adapter, and other methodologies to generate images with unprecedented control and quality
- Explore developments in Stable Diffusion such as video generation using AnimateDiff
- Write effective prompts and leverage LLMs to automate the process
- Discover how to train a Stable Diffusion LoRA from scratch
By the end of this Using Stable Diffusion with Python 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.
