AI Tools — Image Generation

Stable Diffusion & Open-Source AI Art

Create and customize your own AI art with open-source Stable Diffusion

12 lessons4 modules10h 25m durationbeginner level

Instructor: StretchLearn Faculty

About this course

This course teaches the practical open-source image-generation workflow that artists and creators actually use, built around Stable Diffusion 1.5, SDXL, and SD3.5 models running in Automatic1111, ComfyUI, or the hosted Leonardo.ai. You will write structured prompts, tune samplers and CFG, swap checkpoints and VAEs, stack LoRA adapters, and pin composition with ControlNet. Every module uses named models, real numeric settings, and worked examples you can reproduce on your own machine or in the cloud.

Curriculum

Module 1: Getting Started with Stable Diffusion3 lessons

What Stable Diffusion Is and Why It Is OpenPreview45m
Choosing Your Runtime: Local vs Cloud vs Hosted🔒50m
Installing and Launching Your First Generator🔒55m

Module 2: Prompts, Models, and Core Settings3 lessons

Writing Prompts That Work🔒50m
Choosing a Base Model: 1.5, SDXL, or SD3.5🔒50m
Steps, CFG, Samplers, Seeds, and VAE🔒55m

Module 3: Customizing with LoRA, Embeddings, and ControlNet3 lessons

Using and Weighting LoRA Adapters🔒55m
Embeddings and Subtle Quality Tools🔒45m
Precise Control with ControlNet🔒1h 0m

Module 4: Refining, Scaling, and Production Workflows3 lessons

Fixing Faces and Hands, Inpainting, and Img2Img🔒55m
Upscaling to High Resolution🔒50m
ComfyUI Pipelines, Rights, and Export🔒55m