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Stable Diffusion: Tips, Tricks, and Techniques

Offered By: LinkedIn Learning

Tags

Stable Diffusion Courses ControlNet Courses LoRA (Low-Rank Adaptation) Courses Generative AI Courses Image Generation Courses Inpainting Courses Model Training Courses

Course Description

Overview

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Explore the generative AI capabilities of the Stable Diffusion platform.

Syllabus

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

Taught by

Ben Long

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