Stable Diffusion: Tips, Tricks, and Techniques

Course details

AI image generation tools enable you to enter a text description and get an image in a flash. For creative pros, these tools can accelerate the creative process and help generate assets. For everyone else, these tools enable the effortless creation of images for presentations and reports—or just for fun.

The open-source Stable Diffusion platform is known for its power, customizability, and ability to be run locally rather than through an online service. In this course, imaging expert Ben Long explores Stable Diffusion, sharing tips for creating effective prompts, using sketches or existing images as prompts, expanding Stable Diffusion through extensions, training Stable Diffusion to render subjects it previously couldn’t, and much more.

Concepts

0. Introduction

01 - What is Stable Diffusion

1. Stable Diffusion Basics

02 - What can you do with Stable Diffusion
03 - What's different about Stable Diffusion
04 - How can you access Stable Diffusion
05 - Installing Stable Diffusion locally
06 - Using Stable Diffusion

2. Digging Deeper into Stable Diffusion Prompts

07 - What does a prompt do
08 - Stable Diffusion seeds
09 - Stable Diffusion batches and pixel counts
10 - Prompt basics
11 - Questions to answer when writing prompts
12 - PNG information and saving
13 - Using CFG scale
14 - Prompt weighting
15 - Writing prompts for series 2 models
16 - Prompt libraries and styles
17 - Interrogating an image
18 - Artist names and rendering styles

3. Advanced Stable Diffusion

19 - Sampling and steps
20 - Automatic iterating
21 - Changing SD models
22 - Using LoRA models
23 - Using embeddings
24 - Upscaling SD images
25 - Settings and extensions

4. Training and Customizing Stable Diffusion

26 - img2img basics
27 - img2img options on hosted sites
28 - Using a sketch in img2img
29 - Using a photobash with img2img
30 - Changing aspect ratios with img2img
31 - Removing elements with inpainting
32 - Adding objects with inpainting
33 - Outpainting
34 - Using outpainting to resize an image
35 - Improving faces created by SD
36 - Outpainting with openOutpaint
37 - Instruct pix2pix
38 - Free handy resources

5. Working with ControlNet

39 - Introduction to ControlNet
40 - Installing ControlNet
41 - OpenPose in ControlNet
42 - Limitations using OpenPose
43 - Using img2img and ControlNet
44 - Choosing a ControlNet model
45 - Image size and ControlNet
46 - Other features in ControlNet
47 - OpenPose editors

6. Refining Your Workflow

48 - Using models to influence image style
49 - Inpainting and upscaling
50 - Refining with XYZ plot
51 - Complete a Stable Diffusion workflow

7. Customization and Model Training

52 - Creating a custom model
53 - Creating models with DreamBooth
54 - Merging models
55 - Training a model using an object

Conclusion

56 - What's next