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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Feature
★ 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
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
Contents
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





