Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion
暫譯: 使用 Python 操控穩定擴散:利用 Python 自動化高品質 AI 圖像生成

Zhu, Andrew, Fisher, Matthew

  • 出版商: Packt Publishing
  • 出版日期: 2024-06-03
  • 定價: $1,840
  • 售價: 9.5$1,748
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1835086373
  • ISBN-13: 9781835086377
  • 相關分類: Python程式語言人工智慧
  • 立即出貨 (庫存=1)

相關主題

商品描述

Master AI image generation by leveraging GenAI tools and techniques such as diffusers, LoRA, textual inversion, ControlNet, and prompt design

Key Features
  1. Master the art of generating stunning AI artwork with the help of expert guidance and ready-to-run Python code
  2. Get instant access to emerging extensions and open-source models
  3. Leverage the power of community-shared models and LoRA to produce high-quality images that captivate audiences
  4. Purchase of the print or Kindle book includes a free PDF eBook
Book Description

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 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.

By the end of this 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.

What you will learn
  1. Explore core concepts and applications of Stable Diffusion and set up your environment for success
  2. Refine performance, manage VRAM usage, and leverage community-driven resources like LoRAs and textual inversion
  3. Harness the power of ControlNet, IP-Adapter, and other methodologies to generate images with unprecedented control and quality
  4. Explore developments in Stable Diffusion such as video generation using AnimateDiff
  5. Write effective prompts and leverage LLMs to automate the process
  6. Discover how to train a Stable Diffusion LoRA from scratch
Who this book is for

If you're looking to gain control over AI image generation, particularly through the diffusion model, this book is for you. Moreover, data scientists, ML engineers, researchers, and Python application developers seeking to create AI image generation applications based on the Stable Diffusion framework can benefit from the insights provided in the book.

商品描述(中文翻譯)

掌握 AI 圖像生成,利用 GenAI 工具和技術,如擴散模型(diffusers)、LoRA、文本反轉(textual inversion)、ControlNet 和提示設計(prompt design)

主要特點


  1. 在專家指導和現成的 Python 代碼幫助下,掌握生成驚人 AI 藝術作品的藝術

  2. 立即獲得新興擴展和開源模型的訪問權限

  3. 利用社群共享模型和 LoRA 的力量,創造吸引觀眾的高品質圖像

  4. 購買印刷版或 Kindle 書籍可獲得免費 PDF 電子書

書籍描述

Stable Diffusion 是一個改變遊戲規則的 AI 圖像生成工具,使您能夠使用代碼創建驚人的藝術作品。然而,掌握它需要理解其背後的概念和技術。本書將指導您通過 Python 解鎖 Stable Diffusion 的全部潛力。


從 Stable Diffusion 的介紹開始,您將探索擴散模型的理論,設置您的環境,並使用擴散模型生成您的第一幅圖像。您將學習如何優化性能,利用自定義模型,並整合社群共享資源,如 LoRA、文本反轉和 ControlNet,以增強您的創作。在涵蓋面部修復、圖像放大和圖像修復等技術後,您將專注於解鎖提示限制、定時提示解析和加權提示,以創建一個完全自定義且符合行業標準的 Stable Diffusion 應用程序。本書還深入探討了在醫學影像、遙感和照片增強等領域的實際應用。最後,您將獲得提取生成數據、確保數據持久性以及利用 AI 模型(如 BLIP)進行圖像描述提取的見解。


在本書結束時,您將能夠使用 Python 生成和編輯圖像,並利用解決方案為您的業務和用戶構建 Stable Diffusion 應用程序。

您將學到的內容


  1. 探索 Stable Diffusion 的核心概念和應用,並設置成功的環境

  2. 優化性能,管理 VRAM 使用,並利用社群驅動的資源,如 LoRA 和文本反轉

  3. 利用 ControlNet、IP-Adapter 和其他方法生成前所未有的控制和質量的圖像

  4. 探索 Stable Diffusion 的發展,如使用 AnimateDiff 生成視頻

  5. 撰寫有效的提示並利用 LLM 自動化過程

  6. 發現如何從零開始訓練 Stable Diffusion LoRA

本書適合誰

如果您希望掌握 AI 圖像生成,特別是通過擴散模型,本書適合您。此外,數據科學家、機器學習工程師、研究人員和尋求基於 Stable Diffusion 框架創建 AI 圖像生成應用程序的 Python 應用開發者也能從本書中獲益。