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Chapter 3: Creating Effective Image Prompts

The Art of Visual Communication with AI​

Prompt engineering for images is both an art and a science. Master these techniques to consistently generate the images you envision.


Anatomy of an Effective Image Prompt​

The Formula​

[Subject] + [Action/Context] + [Style] + [Lighting] + [Composition] + [Quality modifiers]

Component 1: Subject​

Be Specific​

Vague ❌Specific ✅
A dogA golden retriever puppy
A womanA 30-year-old woman with curly red hair
A buildingA Victorian Gothic mansion
A carA 1967 cherry red Mustang convertible

Describe What You Want​

❌ "A cat"

✅ "A fluffy orange tabby cat with green eyes,
sitting on a windowsill"

Component 2: Style​

Art Styles​

  • Photorealistic
  • Oil painting
  • Watercolor
  • Digital art
  • Anime/manga
  • Comic book
  • Pencil sketch
  • Low poly
  • Pixel art

Artist References​

Many platforms understand artist names:

  • "in the style of Studio Ghibli"
  • "reminiscent of Monet's impressionism"
  • "Greg Rutkowski fantasy style"
  • "Alphonse Mucha art nouveau"

Era/Movement​

  • Art Deco
  • Renaissance
  • Baroque
  • Minimalist
  • Cyberpunk
  • Steampunk
  • Vaporwave

Component 3: Composition​

Framing​

  • Close-up / portrait
  • Medium shot
  • Wide shot / establishing shot
  • Bird's eye view
  • Worm's eye view
  • Dutch angle

Perspective​

  • First person POV
  • Over the shoulder
  • Rule of thirds
  • Centered composition
  • Symmetrical
  • Asymmetrical balance

Examples​

"Portrait shot, shallow depth of field,
subject centered, negative space on left"

Component 4: Lighting​

Types of Lighting​

TermEffect
Golden hourWarm, soft, romantic
Blue hourCool, moody, twilight
Dramatic lightingHigh contrast, shadows
Soft lightingEven, flattering
Rim lightingGlowing edges
VolumetricGod rays, atmosphere
NeonCyberpunk, urban
CandlelightWarm, intimate

Examples​

"Dramatic side lighting with deep shadows"
"Soft diffused lighting, overcast day"
"Volumetric sunbeams through forest canopy"

Component 5: Quality Modifiers​

Resolution & Detail​

  • High resolution
  • 8K, 4K
  • Highly detailed
  • Sharp focus
  • Intricate details
  • Hyperdetailed

Rendering Quality​

  • Photorealistic
  • Ray tracing
  • Octane render
  • Unreal Engine
  • Cinema 4D
  • Professional photography

These often boost quality:

  • "Award winning"
  • "Trending on ArtStation"
  • "Featured on Behance"
  • "National Geographic photo"

Negative Prompts​

What They Do​

Tell the AI what to AVOID in the image.

Common Negative Prompts​

ugly, deformed, blurry, bad anatomy,
bad hands, extra fingers, disfigured,
poorly drawn face, mutation,
low quality, worst quality, watermark,
text, signature, cropped

Platform Support​

  • Stable Diffusion: Full support
  • Midjourney: Use --no [item]
  • DALL-E 3: Not supported

Practical Examples​

Example 1: Product Photography​

A sleek modern smartwatch floating on
a gradient background, studio lighting,
product photography, minimalist,
professional, sharp focus, 8K resolution

Example 2: Fantasy Art​

An ancient elven library carved into a
giant tree, magical floating books,
warm candlelight mixed with blue magical
glow, intricate wood carvings, fantasy
concept art, highly detailed,
by Greg Rutkowski

Example 3: Portrait​

Professional headshot of a confident
businesswoman in her 40s, natural smile,
wearing navy blazer, soft studio lighting,
neutral grey background, Canon 85mm f/1.4,
shallow depth of field

Example 4: Architectural Visualization​

Modern minimalist house with floor-to-ceiling
windows, infinity pool, sunset golden hour,
architectural photography, wide angle lens,
real estate photography, warm tones,
photorealistic

Platform-Specific Tips​

DALL-E 3​

  • Be natural and descriptive
  • Works well with conversational prompts
  • Excels at text in images
  • Refine through ChatGPT dialogue

Midjourney​

  • Use parameters (--ar, --v, --style)
  • Shorter prompts often work better
  • Aesthetic keywords are powerful
  • Use /describe to learn from images

Stable Diffusion​

  • Use negative prompts liberally
  • Experiment with CFG scale
  • Different models have different strengths
  • Try multiple samplers

Advanced Techniques​

Prompt Weighting​

Some platforms support emphasis:

(important concept:1.5), regular concept,
(de-emphasized:0.8)

Seed Consistency​

Use the same seed to:

  • Create variations of a concept
  • Maintain character consistency
  • Reproduce results

Upscaling Workflow​

  1. Generate at lower resolution
  2. Select best candidates
  3. Upscale for final quality

Common Mistakes to Avoid​

1. Being Too Vague​

❌ "A pretty picture of nature"
✅ "Misty mountain lake at sunrise,
pine forest reflection,
Banff National Park style,
landscape photography"

2. Contradictory Instructions​

❌ "A dark bright sunny night scene"
✅ "A moonlit night scene with
soft ambient glow"

3. Overcomplicating​

❌ [500 word prompt with every detail]
✅ Focus on key elements that matter most

4. Ignoring the Platform​

  • Don't use Midjourney syntax in DALL-E
  • Adjust approach for each tool

Prompt Templates​

Template: Product Shot​

[Product description], [surface/setting],
[lighting type] lighting, product photography,
commercial, professional, [quality modifiers]

Template: Character Art​

[Character description], [pose/action],
[setting/background], [art style],
[lighting], highly detailed,
[artist reference if desired]

Template: Landscape​

[Location/scene type], [time of day],
[weather/atmosphere], [style],
[composition], [quality modifiers]

Key Takeaways​

✅ Structure prompts: Subject → Style → Lighting → Composition → Quality

✅ Be specific about what you want

✅ Use appropriate style and artist references

✅ Leverage negative prompts to avoid common issues

✅ Adapt your approach to each platform

✅ Iterate and refine based on results


Module Summary​

You've completed Module 4. You now understand:

  1. How diffusion models work: Denoising guided by text
  2. Major platforms: DALL-E, Midjourney, Stable Diffusion
  3. Effective prompting: Structure, components, and techniques

Next Steps​

Test your knowledge with the Module 4 Quiz, then continue to Module 5: Audio and Music Generation.