MidJourney Course

Lesson 1 • Running Your First Prompt

Walks through the /imagine command, basic syntax, and reading the output grid. Students produce their first intentional image by the end of this section.

Lesson 2 • Understanding How Midjourney Works

Explains the diffusion model pipeline, how text is converted to images, and what GPU minutes represent. Grounds students in the mechanics behind every generation.

Lesson 3 • Navigating the Midjourney Interface

Introduces the Discord-based workspace, direct message channels, and the web interface. Students gain spatial familiarity before writing any prompts.

Lesson 1 • Anatomy of an Effective Prompt

Breaks down subject, context, style, and medium as the four core prompt components. Understanding this structure prevents vague or unpredictable results.

Lesson 2 • Descriptive Language and Specificity

Teaches how adjective choice, sensory detail, and concrete nouns sharpen image accuracy. Students compare vague versus specific prompts side by side.

Lesson 3 • Referencing Art Styles and Artists

Covers how to invoke artistic movements, media types, and artist aesthetics in prompts. Students learn which references produce reliable stylistic shifts.

Lesson 4 • Prompt Length and Word Order

Explains how token weight and word position influence generation priority. Students optimise prompt structure to front-load the most critical concepts.

Lesson 1 • Aspect Ratio and Image Dimensions

Covers the --ar flag, common ratios for print and screen, and how composition shifts with format. Students match output dimensions to real-world use cases.

Lesson 2 • Quality and Stylize Parameters

Explains --quality and --stylize flags, their value ranges, and the trade-off between render time and detail. Students calibrate these for speed versus fidelity.

Lesson 3 • Model Versions and Niji Mode

Surveys available Midjourney model versions and the anime-focused Niji mode. Students select the right model for each creative brief.

Lesson 4 • Negative Prompting with --no Flag

Teaches exclusion prompting to remove unwanted elements, artifacts, or styles. Students use --no to clean up outputs without rewriting entire prompts.

Lesson 1 • Permutation Prompts for Batch Testing

Introduces curly-brace permutation syntax to generate multiple variants in one command. Students automate style and subject testing at scale.

Lesson 2 • Image Prompting with URL References

Explains how to prepend image URLs to guide composition, color, and style. Students combine reference images with text prompts for targeted results.

Lesson 3 • Multi-Prompt Syntax and Weighting

Covers the double-colon separator to split concepts and assign relative weights. Students balance competing visual elements within a single generation.

Lesson 4 • Style Reference and Character Reference

Covers --sref and --cref flags to lock in a visual style or character across generations. Students maintain brand or character consistency across multiple images.

Lesson 1 • Depth, Texture, and Detail Prompts

Introduces depth-of-field, bokeh, and surface texture descriptors for tactile realism. Students add dimensionality and material specificity to their outputs.

Lesson 2 • Colour Palette and Harmony Control

Teaches colour theory vocabulary—complementary, analogous, monochromatic—as prompt tools. Students specify palettes that align with brand or emotional intent.

Lesson 3 • Lighting Techniques in Prompts

Covers natural, studio, and cinematic lighting descriptors and their visual impact. Students use lighting language to set mood and direct viewer attention.

Lesson 4 • Typography and Graphic Design Elements

Explores prompting for text overlays, poster layouts, and graphic design compositions. Students understand Midjourney's text rendering limitations and workarounds.

Lesson 1 • Vary Region for Targeted Inpainting

Teaches the Vary Region brush to repaint selected areas while preserving the rest. Students fix specific flaws or swap elements without regenerating the full image.

Lesson 2 • Upscaling Options and Output Quality

Compares subtle, creative, and high-resolution upscale modes and their output differences. Students choose the right upscale path for each delivery format.

Lesson 3 • Zoom Out and Custom Zoom

Covers the Zoom Out buttons and custom zoom values to expand canvas beyond original borders. Students extend scenes and add environmental context to tight compositions.

Lesson 1 • Developing a Personal Style Guide

Guides students in documenting their core aesthetic choices as a reusable prompt template. A style guide reduces decision fatigue and speeds up production.

Lesson 2 • Creating Image Series and Collections

Covers techniques for generating thematically unified image sets using locked parameters. Students produce portfolio-ready series with visual cohesion.

Lesson 3 • Character and Subject Consistency

Uses --cref and seed locking to maintain a recurring character across multiple scenes. Students build visual narratives with a stable protagonist.

Lesson 4 • Organising and Managing Your Gallery

Teaches the Midjourney web gallery, folder organisation, and metadata tagging for efficient retrieval. Students maintain a searchable archive of all generated assets.

Lesson 1 • Product Visualisation and Mockups

Teaches prompting for product renders, packaging mockups, and lifestyle photography substitutes. Students reduce prototyping costs with AI-generated product visuals.

Lesson 2 • Storytelling and Sequential Imagery

Covers building visual narratives, storyboards, and comic panels using consistent characters and scenes. Students produce sequential art with maintained visual continuity.

Lesson 3 • Midjourney for Marketing and Advertising

Covers generating ad visuals, social media content, and campaign mockups at production speed. Students align Midjourney output with marketing briefs and brand standards.

Lesson 4 • Concept Art and Illustration Pipelines

Integrates Midjourney into concept art workflows for games, film, and publishing. Students use AI-generated concepts as a starting point for refined illustration.