UDUdemy
Stable Diffusion & AI Image Generation — Complete Course
Beginner 12 hours English Completion Certificate Certificate
About this course
This course covers Stable Diffusion end-to-end: setting up AUTOMATIC1111 locally, crafting effective prompts, and understanding samplers and CFG scale. Students advance to ControlNet for composition control, img2img for style transfer, and inpainting for targeted edits.
The curriculum also covers DreamBooth and LoRA fine-tuning so you can train custom models on your own images — capabilities no cloud-only tool provides.
What you'll learn
Set up and run Stable Diffusion locally with AUTOMATIC1111
Write effective prompts and negative prompts for consistent results
Use ControlNet to control composition, pose, and depth
Apply img2img and inpainting for image editing and style transfer
Fine-tune models with DreamBooth and LoRA for custom subjects
This course includes
12h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
NZ
Nick Zanetti
Udemy instructor
95K+ learners4 courses4.5 instructor rating
Taught by Udemy AI instructors specializing in generative image tools with practical creative and commercial applications.
Requirements
- A GPU with at least 6GB VRAM recommended; basic computer literacy
Who this course is for
- Designers and artists adding AI image generation to their toolkit
- Developers building AI-powered creative applications
- Content creators who want custom AI imagery without API costs
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
Frequently asked questions
6-8GB VRAM works well. The course also covers Google Colab for those without local hardware.
Yes — the AUTOMATIC1111 workflow applies to all Stable Diffusion variants including SDXL and SD 3.