🎬 Self-Learning Resource — Emenwa Global

Module 6: AI Image Generation

Master the image tools that create the visual foundation for all your AI videos. Learn the universal image prompt formula, character consistency techniques, and which tool to use for each task.

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In AI filmmaking, images are the raw material for video. The image you generate becomes the first frame of your video clip — and AI video tools animate outward from that starting point. This means the quality, composition, and precision of your image directly determines the quality of your video.

A blurry, poorly composed, or inconsistent image will produce a blurry, poorly composed, or inconsistent video. A photorealistic, well-lit, expertly framed image will produce a cinematic video clip every time.

The pipeline: Perfect character portrait (Midjourney) → Upload to image-to-video tool (Kling AI / Hailuo) → Animate with a scene prompt → Consistent professional-grade video clip. Repeat for every scene. Assemble in CapCut. Done.
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🎨 Midjourney v7

Most visually poetic AI. Cinematic beauty, surreal textures, painterly depth. Best for stylised, mood-heavy visuals. V7 adds Omni-Reference for character consistency.

midjourney.com →
🎯 DALL-E 3

Balanced realism and creativity. Best for product mockups, branding illustrations, and editorial content. Integrated into ChatGPT Pro for iterative refinement.

openai.com →
🎥 Runway (Image)

Purpose-built for creators who will convert images to video. Upload up to 3 reference images. Designed for scene and character consistency across clips.

runwayml.com →
🌐 Gemini / Imagen 3

Context-aware and narrative-aligned. Best for educational visuals, storyboard panels, and structured information-rich scenes. Tight Google integration.

gemini.google.com →
🔥 Adobe Firefly

Commercially safe (trained on licensed content). Professional-grade. Tight integration with Premiere Pro, After Effects, and Photoshop for post-production.

adobe.com/firefly →
⚡ Grok / Aurora

Real-time, trend-sensitive image generation. Strong for social-first content. Direct image-to-video pipeline within the X platform ecosystem.

x.com/grok →
🌀 Google Whisk

Story-first image generation with storyboard panel support. Camera angle direction, character continuity, and scene-to-scene narrative connection.

labs.google →
🎭 Ideogram

Best-in-class text rendering inside images. Ideal when your visual needs readable words, signs, labels, or typography as part of the composition.

ideogram.ai →
🔧 Stable Diffusion

Open-source and self-hostable. Enormous community model library. Best for creators wanting full control, privacy, and offline generation capability.

stability.ai →
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Formula: [Subject + Age + Expression] + [Clothing + Details] + [Setting + Time] + [Lighting] + [Style / Medium] + [Camera / Composition] + [Colour Palette] + [Mood] + [Technical Quality Tags]
// CHARACTER PORTRAIT — Full Example (Midjourney) Portrait of a fictional male architect in his late 40s, calm authoritative expression, dark slim-fit rollneck, reading glasses held in one hand. Standing at a drafting table in a minimalist studio with exposed concrete walls and large north-facing windows. Late afternoon grey light from the left. Editorial photography style. Shallow depth of field — subject sharp, background soft bokeh. Desaturated cool palette with warm tungsten desk lamp accent. Accomplished and thoughtful. Shot on Hasselblad 100C, 80mm lens, f/2.8, hyper-realistic skin texture --ar 16:9 --v 7 // ENVIRONMENT / SCENE — Full Example (Midjourney) Exterior of a private research laboratory at night, set into a forested hillside. Brutalist concrete architecture with amber-lit windows glowing against dark pines. A single figure in a white coat visible through one window. Aerial perspective from 30 metres above and ahead. Deep indigo sky with early stars appearing. Light fog settling at ground level between the trees. Photorealistic, cinematic mood --ar 21:9 --v 7 // PRODUCT / BRAND — Full Example (DALL-E 3) A sleek matte black wireless earphone case resting on a white marble surface. One earbud removed and placed beside it. Soft directional studio light from upper left casting a precise shadow. Clean product photography style. Minimal composition — only the product and surface. Warm white background. Commercial photography quality.
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Keeping a character's face, body, clothing, and style consistent across 10 or 20 different scenes is the hardest technical challenge in AI filmmaking. These are the methods that actually work:

Method 1 — Midjourney Omni-Reference (Best for Midjourney)

In Midjourney v7, upload a portrait image as your session's Omni-Reference. Every image generated in that session will maintain the character's appearance. Generate all character scenes in one session before moving to video.

// Midjourney Omni-Reference workflow 1. Generate your ideal character portrait first 2. Open a new Midjourney session 3. Upload the portrait as Omni-Reference (--cref [image URL]) 4. Generate all character scenes with the same reference 5. Every output will show the same face and build // Example [Upload portrait image] --cref https://your-portrait-url.jpg "The same character now stands in a rain-soaked alley at night. Same face, same build, dark jacket now damp. Cinematic --ar 16:9 --v 7"

Method 2 — Runway Reference Images (Best for Runway)

Upload up to 3 reference images when starting a Runway generation. Runway uses them to anchor character appearance in every clip it generates from that reference set.

Method 3 — Hailuo Character Mode (Best for Video)

Hailuo MiniMax maintains face and body consistency across image-to-video generations better than any other video tool currently available. Upload your character portrait, write your scene prompt, and the generated video will maintain the character's appearance even through motion.

Method 4 — Luma Character Reference

In Luma Dream Machine, upload a character image and type @character in your scene prompt. Luma will anchor the generation to maintain that character's appearance.

// Consistency Checklist — Before generating scene 2+ □ Same face generation tool or reference used? □ Same clothing described explicitly in every prompt? □ Same lighting style specified (golden hour, studio, etc.)? □ Same aspect ratio across all images in this project? □ Same style reference mentioned (e.g. "photorealistic, cinematic")? □ Are hairstyle and accessories described identically? □ Are you using the same Midjourney seed number or --cref link? If any box is unchecked → the character will drift.
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1. A creator is making a 15-scene short film. The same character must appear consistently in every scene. Which image tool's feature is specifically designed to maintain that consistency?
A. DALL-E 3's variation mode
B. Midjourney v7's Omni-Reference (--cref)
C. Adobe Firefly's content credentials
D. Stable Diffusion's seed randomiser
✅ Correct! Midjourney v7's Omni-Reference feature (--cref [image URL]) is specifically designed to maintain character consistency across multiple generations within the same session.
❌ The answer is B. Midjourney v7's Omni-Reference (--cref) feature is specifically built to maintain a character's face, build, and appearance across multiple image generations in the same session.
2. Which AI image tool is the best choice when your image needs to contain readable text, signs, or typography as part of the composition?
A. Midjourney — for its artistic beauty
B. Stable Diffusion — for full creative control
C. Ideogram — for best-in-class text rendering
D. Grok Aurora — for real-time generation
✅ Correct! Ideogram leads the field specifically in rendering readable, accurate text within AI-generated images — making it the right choice whenever your visual needs signs, labels, titles, or typography.
❌ The correct answer is C — Ideogram. It is specifically known for best-in-class text rendering within AI images, which most other tools (including Midjourney) handle poorly.
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