Zhu (Shudong Zhu) Using Stable Diffusion with Python

Leverage Python to control and automate high-quality AI image generation using Stable Diffusion
1. Auflage 2024
ISBN: 978-1-83508-431-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 352 Seiten

No detailed description available for "Using Stable Diffusion with Python".

Autoren/Hrsg.

Zhu (Shudong Zhu), Andrew

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Introducing Stable Diffusion
- Setting Up the Environment for Stable Diffusion
- Generating Images Using Stable Diffusion
- Understanding the Theory Behind Diffusion Models
- Understanding How Stable Diffusion Works
- Using Stable Diffusion Models
- Optimizing Performance and VRAM Usage
- Using Community-Shared LoRAs
- Using Textual Inversion
- Overcoming 77-Token Limitations and Enabling Prompt Weighting
- Image Restore and Super-Resolution
- Scheduled Prompt Parsing
- Generating Images with ControlNet
- Generating Video Using Stable Diffusion
- Generating Image Descriptions using BLIP-2 and LLaVA
- Exploring Stable Diffusion XL
- Building Optimized Prompts for Stable Diffusion
- Applications - Object Editing and Style Transferring
- Generation Data Persistence
- Creating Interactive User Interfaces
- Diffusion Model Transfer Learning
- Exploring Beyond Stable Diffusion

Über Autor(innen)

Zhu (Shudong Zhu) Andrew:
Andrew Zhu is an experienced Microsoft Applied Data Scientist with over 15 years of experience in the tech field. He is a highly regarded writer known for his ability to explain complex concepts in machine learning and AI in an engaging and informative manner. Andrew frequently contributes articles to Toward Data Science and other prominent tech publishers. He has authored the book "Microsoft Workflow Foundation 4.0 Cookbook," which has received a 4.5-star review. Andrew has a strong command of programming languages such as C/C++, Java, C#, and Javascript, with his current focus primarily on Python. With a passion for AI and Automation, Andrew resides in WA, US, with his family, which includes two boys.