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Paint What You Imagine: A Hands‑On Tutorial for Stable Diffusion AI Painting

  • AI PaintingStable Diffusion
  • Categories:(Unknown)
  • Language:Simplified Ch.
  • Publication Place:Chinese Mainland
  • Publication date:May,2024
  • Pages:218
  • Retail Price:89.80 CNY
  • Size:(Unknown)
  • Text Color:Full color
  • Words:320K
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English Title Paint What You Imagine: A Hands‑On Tutorial for Stable Diffusion AI Painting
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Feature

★ A classic bestselling tutorial for beginners to learn Stable Diffusion AI painting!
★ 9 chapters, 76 case studies, plus 5,200 painting prompts.
★ 120 minutes of synchronized video tutorials, with “Tip,” “Knowledge Extension,” and “Expert Note” callouts.
★ Each chapter includes “Practice Examples,” “Comprehensive Examples,” and “After‑Class Exercises” to reinforce learning.
★ Suitable for AI painting enthusiasts and professionals, as well as a reference textbook for training institutions and vocational schools.

Description

This book is a comprehensive tutorial on Stable Diffusion AI painting technology. Starting from basic concepts, it gradually guides readers to understand the principles and applications of Stable Diffusion, and uses numerous practice examples and comprehensive projects to help readers master practical skills quickly.
The book has 9 chapters covering: getting started with Stable Diffusion, text‑to‑image, image‑to‑image, AI video generation, downloading and using models, model training, prompt syntax and usage, ControlNet and popular extensions, and AI painting practice.
Free learning materials and resources include: 120 minutes of synchronized video, complete AI painting prompts, source files, and effect files.
The book features precise explanations, diverse and engaging examples, and richly illustrated content. It is suitable not only for AI painting enthusiasts, AI artists, AI trainers, game character designers, illustrators, graphic designers, e‑commerce image editors, new media operators, and video producers, but also serves as a reference for training institutions and vocational schools.

Author

New Vision is a creative team composed of professional and experienced copywriters, painters, photographers, e‑commerce designers, and short‑video creators. They are highly proficient in AIGC tools such as ChatGPT, Midjourney, Wenxin Yige, Photoshop AI, Firefly AI, Stable Diffusion, and Novel. The team has practical experience with over 50,000 AI prompts and effect renderings. Core members include a member of the China Photographers Association and a training instructor for Hunan Television’s photography partners. Their short videos have been widely broadcast on national platforms. They have authored bestsellers including Jianying Short Video Editing from Beginner to Pro (Mobile + PC) and Mobile Short Video: Planning, Shooting, Editing, Operations from Beginner to Pro.

Contents

Chapter 01: Getting Started with Stable Diffusion
1.1 Entering the World of Stable Diffusion
1.2 Detailed Installation Guide
1.3 WebUI Interface Explained
Comprehensive Example: Generate an Image with Stable Diffusion

Chapter 02: Text‑to‑Image
2.1 Common Sampling Methods
2.2 Basic Parameters Explained
Comprehensive Example: Generate a Beautiful Oil‑Painting Style Image

Chapter 03: Image‑to‑Image
3.1 Basic Image‑to‑Image Techniques
3.2 Advanced Image‑to‑Image Functions (Inpaint, Sketch, etc.)
Comprehensive Example: Convert a Realistic Portrait to Anime Style

Chapter 04: AI Video Generation
4.1 AnimateDiff: Text‑to‑Video
4.2 SVD: Image‑to‑Video

Chapter 05: Downloading and Using Models
5.1 Downloading Models
5.2 Applying Different Model Types (Embedding, Hypernetwork, VAE, LoRA)
5.3 Recommended High‑Quality Models
Comprehensive Example: Generate an Aerial Snow‑Mountain Landscape Photo

Chapter 06: Model Training
6.1 Embedding Model Training
6.2 LoRA Model Training
Comprehensive Example: Merge an Anime‑Chinese Style Character Model

Chapter 07: Prompts – Usage and Syntax
7.1 Proper Use of Prompts
7.2 Advanced Prompt Syntax (Weighting, Stepwise, Alternate, Blend, etc.)
7.3 Image‑to‑Prompt Reverse Engineering (CLIP, DeepBooru, Tagger)
7.4 Building a Universal Prompt Library
Comprehensive Example: Using Prompt Matrix to Filter Prompts

Chapter 08: ControlNet and Popular Extensions
8.1 Installing ControlNet
8.2 ControlNet Control Methods (Canny, MLSD, NormalMap, OpenPose, Scribble, Segmentation)
8.3 Useful Extensions (prompt‑all‑in‑one, After Detailer, Cutoff, Ultimate SD Upscale, Aspect Ratio Helper)
Comprehensive Example: Using Depth to Restore Spatial Depth

Chapter 09: AI Painting Practice
Comprehensive Example 1: Fresh Portrait
Comprehensive Example 2: Mecha Girl
Comprehensive Example 3: Interior Design
Comprehensive Example 4: Black‑and‑White Line Art
Comprehensive Example 5: Beautiful Anime
Comprehensive Example 6: Jewelry Model

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