Stable Diffusion AI Mastery - Complete Beginner Course

CGwisdom connects a longer Stable Diffusion introduction with image-generation controls, extensions and training examples. Automatic1111 foundations lead into ControlNet, image-to-image work and ForgeUI. It suits learners who want time to practice each stage and explain what a new control contributes, rather than accumulate models and extensions before they can reliably reproduce a basic image.

What you will learn

• Explore Automatic1111 and generation settings.
• Use image-to-image, extensions and ControlNet examples.
• Review training workflows and ForgeUI.

Who this suits

Basic file management and computer skills are expected, with at least eight gigabytes of RAM and a dedicated graphics card. Mixed levels is an editorial classification across introductory and applied sections.

Before you enroll

Check the demonstrated interface and model version before following older lessons, because controls and access plans change. A course purchase does not include a separate image-tool subscription, generation credits or cloud GPU time. Use reference images you have permission to upload, inspect generated details carefully and review the relevant model license before publishing. Keep a record of prompts, settings and edits so another person can understand your process.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Build a small comparison sheet for a fictional product image. Hold the prompt constant while changing one generation setting, then add a ControlNet condition and explain which change gave useful control.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

View the curriculum and current access options at Udemy.

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Supporting provider sources

• support.udemy.com: supporting course information