Prompt Engineering for Image Generation: Midjourney vs DALL-E Tips

Prompt Engineering for Image Generation: Midjourney vs DALL-E Tips

My first AI-generated images were terrible. I typed "a logo for a coffee shop" and got something that looked like a fever dream — inconsistent, weirdly rendered, nothing I'd actually use.

A year later, I was generating professional product mockups, social media graphics, and concept art that clients were asking "where did you get these?" The change wasn't in the AI tools — Midjourney and DALL-E had both improved, but so had my understanding of how to talk to them.

Image generation prompts work completely differently from text prompts. You're not describing what you want in conversational language — you're building a visual specification. Understanding this difference changes everything about how you prompt.

In this guide, I'll show you the exact techniques that produce professional-quality images in Midjourney and DALL-E 3, the key differences between the two platforms, and the prompts that work consistently.

Understanding Image Generation Prompts

Text AI prompts communicate intent through instruction: "Write a blog post about X."

Image generation prompts communicate a visual specification through descriptors: subject + style + mood + technical parameters.

The mental model shift:

Text prompt mindset: "Do this task"
Image prompt mindset: "This image looks like this + feels like this + 
                      was made like this + is formatted like this"

You're describing the output, not the task.

The Image Prompt Formula

For professional-quality results:

[SUBJECT] + [STYLE] + [MOOD/ATMOSPHERE] + [TECHNICAL PARAMETERS]

Each element explained:

Subject

What is in the image. Be specific.

Weak: "a woman"
Better: "a 35-year-old businesswoman in a tailored navy blazer"
Best: "a 35-year-old businesswoman in a tailored navy blazer, 
       brown hair pulled back, looking directly at camera, 
       confident expression"

Style

The artistic style, medium, or aesthetic.

Style categories:

• Photography styles: Product photography, editorial portrait, documentary, street photography, studio shot
• Art styles: Oil painting, watercolor, digital illustration, concept art, anime, comic book
• Era/movement: Art nouveau, modernist, minimalist, brutalist, retro 80s
• Artist references: "in the style of [artist]" — powerful for matching a visual aesthetic
• Cinematography: Cinematic, film still, movie poster

Mood/Atmosphere

Lighting: golden hour, studio lighting, dramatic shadows, 
          soft natural light, neon-lit, candlelight, overcast diffused light

Color palette: warm earth tones, cool blues and grays, 
               high contrast black and white, pastel, muted desaturated

Feeling: peaceful, tense, nostalgic, energetic, mysterious, clinical

Technical Parameters

Midjourney: --ar 16:9 --v 6 --style raw --q 2 --s 250
DALL-E 3: Specify in natural language within the prompt

Midjourney: Platform-Specific Guide

Basic Structure

[Subject description], [style], [mood], [lighting], 
[composition], [technical details] --ar [ratio] --v 6

Example prompts:

Product Photography:

sleek wireless earbuds on a white marble surface, 
product photography, soft studio lighting, 
minimal shadow, commercial photography style, 
sharp focus, white background --ar 1:1 --v 6 --style raw

Portrait Photography:

professional headshot of a 40-year-old entrepreneur, 
soft natural window light, shallow depth of field, 
Canon 85mm 1.4 lens aesthetic, warm skin tones, 
authentic expression, office background slightly blurred --ar 2:3 --v 6

Concept Art:

futuristic city skyline at dusk, 
bladerunner-inspired cyberpunk aesthetic, 
warm orange sunset vs cool neon blue advertisements, 
cinematic composition, wide establishing shot, 
rain-wet reflective streets --ar 16:9 --v 6

Logo/Icon:

minimalist icon design for a fintech startup, 
clean geometric shapes, navy blue and gold color palette, 
simple and scalable, professional corporate logo style,
flat design, white background --ar 1:1 --v 6 --style raw --s 0

Midjourney Style Parameters

Parameter | Effect
----------|--------------------------------------------------
--v 6     | Latest version — best quality, most accurate
--style raw | More literal prompt following, less artistic
--s 0     | Minimal stylization (most literal)
--s 1000  | Maximum stylization (most artistic/interpreted)
--q 1     | Faster, lower quality
--q 2     | Slower, higher quality
--no X    | Exclude X from the image
--ar X:Y  | Aspect ratio (16:9, 1:1, 2:3, 9:16)

Powerful Midjourney Modifiers

Lighting modifiers that transform images:

golden hour lighting → warm, soft, professional
dramatic side lighting → high contrast, impactful
soft diffused natural light → flattering, realistic
rim lighting → subject separated from background
studio three-point lighting → professional commercial look

Camera/lens modifiers:

shot on Sony A7 III → realistic photography look
Canon 85mm f/1.4 → shallow depth of field portrait style
wide angle lens → environmental, architectural feel
macro photography → extreme detail closeup

Color treatment:

Kodak film grain → warm analog photography feel
desaturated muted tones → editorial/fashion magazine
high contrast black and white → dramatic, artistic
color graded, cinematic teal and orange → film still aesthetic

DALL-E 3: Platform-Specific Guide

DALL-E 3 (via ChatGPT) works differently from Midjourney:

• Understands natural language instructions more literally
• Better at text within images
• Better at complex scenes with multiple elements
• Less focused on artistic aesthetics, more on accuracy

DALL-E 3 Prompt Structure

DALL-E 3 responds well to descriptive, instruction-style prompts:

A [detailed scene description]. The image should have [style description]. 
[Lighting description]. [Color palette]. [Composition details].

Example — Product Mockup:

A photorealistic mockup of a smartphone displaying a fitness app dashboard. 
The phone is floating against a blurred gym background. 
Professional product photography style with soft studio lighting. 
White phone, clean minimal UI visible on screen. 
High resolution, commercial quality.

Example — Illustration:

A flat design illustration of a team of diverse professionals collaborating 
around a glass table in a modern office. 
Clean lines, minimal style, Notion-inspired color palette of blue, teal, 
and warm beige. 
No text visible in the image. Professional B2B tech company style.

When to Use DALL-E 3 Over Midjourney

Common Image Prompt Mistakes

Mistake 1: Over-describing subject, under-describing style

❌ "A very detailed picture of a coffee shop with wooden tables, 
    plants, brick walls, warm lights, menu boards, customers, 
    barista counter, and espresso machine"

✅ "Cozy independent coffee shop interior, 
    warm editorial photography, golden afternoon light, 
    shallow depth of field, lifestyle magazine aesthetic --ar 16:9 --v 6"

Mistake 2: Not specifying aspect ratio Default square format rarely works for content uses. Always specify --ar.

Mistake 3: Inconsistent style references Combining artist references that conflict creates muddled outputs:

❌ "in the style of Banksy and Thomas Kinkade"
✅ "in the style of Banksy" (one clear reference)

Mistake 4: Ignoring negative prompts for common problems Common artifacts to exclude: --no ugly, deformed, watermark, text, blurry, low quality, duplicate

For the text-based prompt engineering foundation that underpins all AI tools, see our complete prompt engineering guide.

Frequently Asked Questions

What makes a good Midjourney prompt?

Subject + style + mood/atmosphere + technical parameters. The most impactful elements: specific style references and lighting descriptions. 'Cinematic lighting' or 'golden hour' transforms average images into professional-looking results. Specificity in subject and lighting matters more than any other elements.

What is the difference between Midjourney and DALL-E 3?

Midjourney excels at artistic, aesthetic imagery and artist-style matching. DALL-E 3 excels at following precise instructions, text-in-image, and complex multi-element scenes. For artistic work: Midjourney. For precise compositions and text: DALL-E 3.

How do I write negative prompts in Midjourney?

Add '--no [elements]' at the end: '--no people, blurry, watermark, text'. For portraits: '--no extra fingers, bad anatomy' is commonly used. Less powerful than Stable Diffusion's dedicated negative prompt field.

What are the most important Midjourney parameters?

--ar (aspect ratio), --v 6 (latest version), --style raw (literal interpretation), --s (stylization level 0-1000). For photorealistic work: '--style raw' with lower '--s' values.

Can I use AI image generation for commercial work?

Depends on the platform and subscription. Midjourney Pro, DALL-E 3 via ChatGPT Plus, and Adobe Firefly all allow commercial use. Always verify current terms of service. For high-stakes commercial work, Adobe Firefly (trained on licensed content) offers the cleanest commercial rights.