Artificial Intelligence Creative Technology

AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion

A practical course in writing, refining, and productionising prompts for modern AI image tools

AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion logo
Quick Course Facts
18
Self-paced, Online, Lessons
18
Videos and/or Narrated Presentations
6.3
Approximate Hours of Course Media
About the AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion Course

AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion is a practical course in writing, refining, and productionising prompts for modern AI image tools. You will learn how Artificial Intelligence image systems interpret language, how to shape stronger visual outputs, and how to build repeatable workflows for creative, marketing, and professional use.

Master AI Image Generation Prompting For Professional Visual Work

  • Learn how to structure effective prompts using subject, setting, style, composition, lighting, colour, texture, and mood.
  • Improve weak outputs through iteration, references, seeds, variations, constraints, and negative prompts.
  • Compare platform-specific workflows for Midjourney, DALL-E, and Stable Diffusion, including advanced control techniques.
  • Build reusable prompt systems for consistent characters, products, campaigns, and team production workflows.

A complete introduction to AI Image Generation Prompting (Midjourney, DALL-E, Stable Diffusion) for creative and commercial image production.

This course starts with the foundations of text-to-image creation, showing how Artificial Intelligence image generators translate prompts into visual results. You will break down the anatomy of an effective image prompt and learn how each part of your instruction influences subject matter, framing, style, realism, and creative direction.

From there, you will develop a practical visual language for prompting. Lessons cover composition, camera language, lighting, colour, texture, mood, mediums, genres, and art direction, helping you move beyond vague descriptions toward prompts that communicate clear intent. You will also learn how to diagnose weak outputs, refine prompts systematically, use references and seeds, and avoid common artifacts with negative prompting.

The course then compares workflows across Midjourney, DALL-E, and Stable Diffusion so you can choose the right tool and prompting style for each job. You will explore stylised and editorial image creation, clear instruction-based outputs, Stable Diffusion settings, models, samplers, LoRAs, guided inputs, inpainting, outpainting, and image editing workflows.

By the end of the course, you will be able to use Artificial Intelligence more confidently in real production contexts, from marketing and social media visuals to brand campaigns, consistent characters, product imagery, and reusable prompt libraries. You will leave with a stronger creative process, a clearer understanding of professional AI image workflows, and the ability to produce more consistent, controlled, and purposeful visual results.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations of Text-to-Image Creation

2 lessons

This lesson explains how modern text-to-image systems turn written prompts into visual outputs. Learners will see why prompts are interpreted as weighted signals rather than literal instructions, and …

Lesson 2: Anatomy of an Effective Image Prompt

20 min
This lesson breaks an image prompt into practical components: subject, context, visual medium, composition, lighting, style references, technical constraints, and negative guidance. Learners will see …

Prompt Structure and Visual Language

4 lessons

Lesson 3: Subject, Setting, Style, and Intent

19 min
This lesson introduces a practical four-part structure for image prompts: subject, setting, style, and intent . These elements help you move from vague requests to prompts that give Midjourney, DALL-E…

Lesson 4: Composition, Camera Language, and Framing

21 min
This lesson teaches the visual language needed to control composition, camera perspective, and framing in AI image generation prompts. Students learn how to specify subject placement, shot size, angle…

Lesson 5: Lighting, Colour, Texture, and Mood

20 min
This lesson teaches how to control the emotional and visual character of AI-generated images through lighting, colour, texture, and mood. Learners move beyond subject-only prompting and start using vi…

Lesson 6: Prompting for Mediums, Genres, and Art Direction

22 min
This lesson teaches students how to control the visual identity of an AI-generated image by specifying medium, genre, and art direction with precision. Students learn the difference between describing…

Refinement and Control

3 lessons

Lesson 7: Iteration: Diagnosing Weak Outputs and Improving Results

21 min
This lesson teaches a practical iteration workflow for improving weak AI image outputs without randomly rewriting prompts. Students learn how to diagnose whether a result failed because of unclear sub…

Lesson 8: Using References, Seeds, Variations, and Constraints

20 min
This lesson teaches practical control methods for moving from a promising AI image prompt to repeatable, production-ready results. Learners will use reference images, seeds, variations, and constraint…

Lesson 9: Negative Prompts and Avoiding Common Artifacts

18 min
This lesson teaches practical use of negative prompts and exclusion controls to reduce common AI image artifacts without over-constraining the creative result. Learners will identify when to remove un…

Platform-Specific Prompting

3 lessons

Lesson 10: Midjourney Workflows for Stylised and Editorial Images

23 min
This lesson focuses on Midjourney as a production tool for stylised, editorial, and campaign-ready imagery. Students learn how to structure prompts around subject, visual language, composition, lighti…

Lesson 11: DALL-E Workflows for Clear Instruction and Practical Outputs

21 min
This lesson focuses on DALL-E-style workflows where clear natural-language instruction matters more than dense tag stacking. Learners practice turning a practical output need into a structured prompt …

Lesson 12: Stable Diffusion Essentials: Models, Samplers, and Settings

24 min
This lesson gives learners a practical working map of Stable Diffusion: how checkpoints, model families, samplers, schedulers, seeds, CFG scale, steps, image size, and denoising strength interact. Lea…

Advanced Control Techniques

2 lessons

Lesson 13: Advanced Stable Diffusion Control with LoRAs and Guided Inputs

25 min
This lesson shows how to gain more deliberate control in Stable Diffusion by combining LoRAs, image guidance, masks, depth or edge inputs, and disciplined prompt weighting. Learners move beyond ordina…

Lesson 14: Inpainting, Outpainting, and Image Editing Workflows

22 min
This lesson teaches practical editing workflows for AI image generation, focusing on inpainting , outpainting , and guided image revision. Learners will see how to isolate changes with masks, preserve…

Applied Creative Systems

2 lessons

Lesson 15: Creating Consistent Characters, Products, and Visual Worlds

24 min
This lesson teaches a practical system for creating visual consistency across characters, products, and fictional worlds in Midjourney, DALL-E, and Stable Diffusion. Instead of relying on one lucky pr…

Lesson 16: Prompting for Marketing, Social Media, and Brand Campaigns

21 min
In this lesson, Professor Christina Ross shows how to adapt image-generation prompting for practical marketing, social media, and brand campaign work. The focus is not on making isolated attractive im…

Professional Practice

2 lessons

Lesson 17: Building a Reusable Prompt Library and Team Workflow

19 min
In this lesson, Professor Christina Ross shows how to turn successful image prompts into a reusable team asset instead of a scattered collection of one-off experiments. You will learn how to structure…

Lesson 18: Ethics, Copyright Awareness, Bias, and Disclosure

20 min
This lesson gives learners a practical professional framework for using AI image generation responsibly in client, brand, editorial, and commercial workflows. It focuses on four recurring duties: resp…
About Your Instructor
Professor Christina Ross

Professor Christina Ross

Professor Christina Ross guides this AI-built Virversity course with a clear, practical teaching style.