Stable Diffusion: Tips, Tricks, and Techniques

Explore the generative AI capabilities of the Stable Diffusion platform.

Introduction

• What is Stable Diffusion?

1. Stable Diffusion Basics

• What can you do with Stable Diffusion?
• What's different about Stable Diffusion?
• How can you access Stable Diffusion?
• Installing Stable Diffusion locally
• Using Stable Diffusion

2. Digging Deeper into Stable Diffusion Prompts

• What does a prompt do?
• Stable Diffusion seeds
• Stable Diffusion batches and pixel counts
• Prompt basics
• Questions to answer when writing prompts
• PNG information and saving
• Using CFG scale
• Prompt weighting
• Writing prompts for series 2 models
• Prompt libraries and styles
• Interrogating an image
• Artist names and rendering styles

3. Advanced Stable Diffusion

• Sampling and steps
• Automatic iterating
• Changing SD models
• Using LoRA models
• Using embeddings
• Upscaling SD images
• Settings and extensions

4. Training and Customizing Stable Diffusion

• img2img basics
• img2img options on hosted sites
• Using a sketch in img2img
• Using a photobash with img2img
• Changing aspect ratios with img2img
• Removing elements with inpainting
• Adding objects with inpainting
• Outpainting
• Using outpainting to resize an image
• Improving faces created by SD
• Outpainting with openOutpaint
• Instruct pix2pix
• Free handy resources

5. Working with ControlNet

• Introduction to ControlNet
• Installing ControlNet
• OpenPose in ControlNet
• Limitations using OpenPose
• Using img2img and ControlNet
• Choosing a ControlNet model
• Image size and ControlNet
• Other features in ControlNet
• OpenPose editors

6. Refining Your Workflow

• Using models to influence image style
• Inpainting and upscaling
• Refining with XYZ plot
• Complete a Stable Diffusion workflow

7. Customization and Model Training

• Creating a custom model
• Creating models with DreamBooth
• Merging models
• Training a model using an object

Conclusion

• What's next