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Image Generation AI Stable Diffusion Getting Started Guide Generative AI Illustration
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This book allows you to deepen your understanding of image generation AI by working on it until the end in a hands-on format.
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- This is an introductory book for introducing and experiencing Stable Diffusion, one of the image generation AI. We provide solid support so that even people who don't understand programming or have trouble using information on the internet can experience image generation using AI. This book will explain in the following environment. ・Google Colab Pro environment ・Windows10/11 NVIDIA GPU environment MacOS Apple silicon environment This book deals with the following contents. Principles of image generation using diffusion models ・Building a WebUI environment to use Stable Diffusion Generate images based on text/images (txt2img/img2img/ControlNet) ・Additional learning on Google Colab (creation of LoRA) This book not only explains how to use the software, but also explains how settings and parameters that you can set yourself are involved in image generation, so it is also recommended for people who want to deepen their knowledge of AI technology. In addition, in order to satisfy those who are already using AI, we will explain how to make examples using AI image generation including Stable Diffusion, which will provide hints for mastering AI image production, and prompt configuration/generation parameters. We publish and explain information such as. This book allows you to deepen your understanding of image generation AI by working on it until the end in a hands-on format. Chapter 1 Learn about image generation AI Chapter 2 Let's start building an environment Let's generate an image from the Chapter3 prompt Chapter 4 Let's generate an image using an image Let's try using Chapter5 ControlNet Create Chapter6 LoRA and try using it Chapter7 Make more use of image generation AI
| Publisher | SB Creative |
| Publication date | March 29, 2024 |
| Language | Japanese |
| Print length | 224 pages |
| ISBN-10 | 4815624569 |
| ISBN-13 | 978-4815624569 |
| Item Weight | 1 g |
| Dimensions | 0.67 x 7.17 x 10.12 inches (1.7 x 18.2 x 25.7 cm) |
Who Should Buy?
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Beginners in AI
Individuals new to AI and image generation will find clear guidance and foundational knowledge in this guide.
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Artists and Designers
Creatives looking to explore generative AI for innovative illustrations can enhance their skills using this resource.
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Educators and Students
Teachers and students interested in AI technologies can utilize this guide for academic or project-based learning.
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Advanced Users
Experienced AI practitioners may find the content too basic and lacking in advanced techniques and applications.
Product Description
Customer Questions & Answers
-
Question:
Do I need programming skills to understand this book?
Answer: No, the book is designed for readers with no programming background. -
Question:
What environments does the book cover?
Answer: It covers Google Colab Pro, Windows10/11 with NVIDIA GPU, and MacOS with Apple silicon. -
Question:
Will I learn advanced AI image generation techniques?
Answer: Yes, the book includes additional insights for those already familiar with AI.
AICU media , 白井 暁彦 Format: Tankobon Softcover Introduction to Graphics, Desktop Publishing & Computer Music Editorial Review
**** The "Image Generation AI Stable Diffusion Getting Started Guide" has received a warm reception from users, particularly those new to the concepts of Stable Diffusion and machine learning tools. Many users appreciate the thoroughness of its explanations, noting that even individuals with no prior experience in Colab or Stable Diffusion found the guide accessible and easy to follow. The guide is described as a reliable companion for those venturing into the realm of AI illustration, providing a sense of security and encouragement akin to having a supportive friend by their side during the learning process. Users particularly value the detailed, step-by-step instructions that feel like a navigational aid, preventing them from getting lost amid the complexities of installation and setup. The book fosters a sense of achievement, especially when users successfully generate images using simple prompts, which bolsters their confidence in exploring their creativity. The guide also offers up-to-date resources, linking to the latest community developments and relevant GitHub repositories, which reassures users that they are learning with current methodologies. However, feedback isn't all positive. Some users have pointed out shortcomings, including occasional grammatical errors and minor inaccuracies that can occur throughout the text. Additionally, while many enjoyed the foundational knowledge provided, some critics pointed out that parts of the guide feel superficial or lacking depth, particularly in understanding AI technologies. Furthermore, transitioning from a local environment to Google Colab can impose unforeseen costs, which may not have been clearly communicated. In summary, while the guide is lauded for its clarity and supportive tone, it does show signs of being hastily produced with room for improvement in terms of detail and accuracy. **
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Pros
- Thorough and accessible explanations ideal for beginners.
- Step-by-step instructions that guide users successfully through setup.
- Encourages creativity and provides a sense of achievement.
- Up-to-date links to useful resources and community updates.
Cons
- Presence of grammatical errors and inaccuracies.
Platform Trust & Buyer Confidence
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AUD 42
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Features & Benefits
- Introductory guide to Stable Diffusion for image generation AI.
- Designed for beginners with no programming experience.
- Covers environments like Google Colab Pro, Windows, and MacOS.
- Hands-on format for practical understanding and application.
- Explains image generation principles and WebUI setup.
- Includes advanced techniques for existing AI users.
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