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AI Prompt Syntax: Midjourney vs DALL-E vs SD

Side-by-side comparison of prompt syntax differences across all major AI tools. Reference guide for switching between platforms.

โฑ๏ธ 9 min read

Every AI creative platform speaks its own "dialect." What works beautifully in Midjourney produces garbage in Stable Diffusion. DALL-E wants natural language; Stable Diffusion wants keyword soup with parentheses. Suno's music prompts follow completely different rules than image generators. If you're switching platforms or using multiple tools, mismatched syntax wastes generations and burns through credits.

This reference guide shows you exactly how to translate concepts across platforms. Need to specify aspect ratio? Midjourney uses --ar 16:9, DALL-E wants "in landscape format", Stable Diffusion needs width/height parameters. Want to emphasize a style? Each platform has different syntax for weighting and emphasis. Use this as your quick-reference cheat sheet when adapting prompts between tools.

๐Ÿ”„ AI Prompt Syntax Comparison

All Platforms

Image Tools

Audio/Music

Video

Feature Midjourney DALL-E 3 Stable Diffusion Suno / Udio
Aspect Ratio --ar 16:9
--ar 2:3
--ar 1:1
"in 16:9 landscape format"
"in portrait orientation"
"as a square image"
width=1024, height=576
Set in parameters or UI
Common: 1024ร—1024, 1024ร—768
N/A (audio is time-based)
Style Strength / Weight --stylize 500
Range: 0-1000
Default: 100
Describe in natural language
"extremely detailed"
"subtle impressionist style"
(style:1.4)
((emphasis))
Weighting with parentheses
Descriptive keywords
"heavily orchestrated"
"minimal, sparse"
Negative Prompt --no hands
--no text, watermark
Comma-separated
"avoid showing hands"
"without any text"
Include in main prompt
negative_prompt:
"ugly, blurry, distorted"
Separate field in UI
"no vocals" (Suno)
"instrumental only"
In main prompt
Quality / Detail --quality 2
Values: 0.25, 0.5, 1, 2
Higher = more detail, slower
"high quality"
"extremely detailed"
"masterpiece quality"
steps: 30
CFG scale: 7-12
More steps = higher quality
"high fidelity"
"studio quality"
In description
Random Seed --seed 12345
Use to reproduce results
Get seed from image info
Not available
Cannot reproduce exact image
seed: 12345
Essential for consistency
Set in parameters
seed: 98765 (Suno)
Helps reproduce melodies
Version / Model --v 6.1
--v 7
Older: --v 5.2, --niji
dall-e-3 (default)
Selected via API only
ChatGPT always latest
Model selection in UI
SDXL, SD 1.5, custom models
Checkpoint file determines version
"v3" or "v3.5" (Suno)
Version selection in UI
Sampling Method N/A (automatic)
Midjourney handles internally
N/A (automatic)
OpenAI's black box
sampler: DPM++ 2M Karras
Euler, DDIM, LMS, etc.
Huge impact on style
N/A (automatic)
LoRA / Fine-tuning N/A
Style references via --sref
Character references --cref
N/A
No custom training
<lora:name:0.8>
Load custom LoRAs
Weight: 0.1-1.5
Custom voice cloning (ElevenLabs)
Style transfer possible
Image-to-Image Upload + /imagine
Automatically detected
--iw for weight (0-2)
"Based on this image..."
Upload via ChatGPT
Editing mode available
img2img mode
denoising_strength: 0.7
0.3-0.9 typical range
Audio-to-audio with Suno
Extend/continue tracks
Upscaling Click U1-U4 buttons
Automatic 2x-4x
--upbeta for older versions
Automatic (1024ร—1024)
No manual upscaling needed
Separate upscaler models
ESRGAN, Real-ESRGAN
2x, 4x, 8x possible
N/A (audio quality fixed)
Chaos / Variation --chaos 50
Range: 0-100
Higher = more variation
Regenerate for variation
No manual control
Change seed
Adjust CFG scale
Vary prompts slightly
Regenerate with same prompt
Results vary naturally
Genre / Style N/A N/A N/A "[Genre]" tags
"electronic pop"
"cinematic orchestral"
Mood / Emotion N/A N/A N/A "uplifting", "melancholic"
"energetic", "calm"
Descriptive adjectives
Tempo / BPM N/A N/A N/A "fast tempo, 140 BPM"
"slow ballad"
Specify in description
Instrumentation N/A N/A N/A "piano and strings"
"acoustic guitar only"
List instruments
Vocals / Lyrics N/A N/A N/A Custom lyrics mode (Suno)
"female vocals"
"no vocals, instrumental"
Duration / Length N/A N/A N/A Suno: 2-4 minutes
Runway: 5-10 seconds
Set in generation settings
Camera Movement N/A N/A N/A "camera pans left"
"slow zoom in"
"drone shot ascending"
Motion Intensity N/A N/A N/A Runway: Motion slider (1-10)
"fast action" vs "slow drift"
Describe in prompt

๐Ÿ“‹ Platform-Specific Cheat Sheets

Midjourney Complete Parameter List

โ–ผ

--ar [ratio]

Aspect ratio (e.g., 16:9, 2:3, 1:1)

--v [number]

Model version (6, 6.1, 7, niji 6)

--stylize [0-1000]

Artistic interpretation strength (default: 100)

--chaos [0-100]

Variation amount between results

--quality [.25|.5|1|2]

Rendering quality/time (default: 1)

--seed [number]

Reproduce specific generation (0-4294967295)

--no [items]

Things to avoid (e.g., --no hands, text)

--iw [0-2]

Image weight for image prompts (default: 1)

--sref [URL]

Style reference image

--cref [URL]

Character reference image

--tile

Create seamless tiling pattern

--weird [0-3000]

Experimental, unconventional results

Pro tip: Combine parameters: /imagine a futuristic city --ar 16:9 --v 6.1 --stylize 300 --seed 12345

Stable Diffusion Prompt Weighting Syntax

โ–ผ

Emphasis with Parentheses:

(word)

1.1x emphasis (slight increase)

((word))

1.21x emphasis (1.1ยฒ)

(((word)))

1.33x emphasis (1.1ยณ)

(word:1.5)

1.5x emphasis (explicit weight)

[word]

0.9x de-emphasis (decrease importance)

Example Prompt:

a ((beautiful woman)), highly detailed face, (blue eyes:1.3), long flowing hair, [background], photorealistic, 8k

Common mistake: Over-weighting (above 1.5) often creates artifacts. Start subtle.

Suno Music Prompt Structure

โ–ผ

Recommended Format:

[Genre] [mood/emotion], [tempo descriptor], [instrumentation], [additional style notes]

Examples:

  • Electronic pop, uplifting, fast tempo, synthesizers and drums, summer vibes
  • Cinematic orchestral, epic and dramatic, slow build, strings and brass, film score
  • Acoustic folk, melancholic, gentle tempo, guitar and violin, storytelling ballad
  • Hip-hop, energetic, 95 BPM, heavy bass, trap-influenced, aggressive lyrics

Vocal Control:

"no vocals"

Instrumental only

"female vocals"

Request specific voice type

"choir"

Multiple layered voices

Custom lyrics

Use Suno's lyrics mode for full control

Common Quality Keywords by Platform

โ–ผ

Midjourney:

highly detailed, intricate, professional photography, award-winning, masterpiece, 8k uhd, dramatic lighting, cinematic, photorealistic, hyperrealistic

DALL-E 3:

high quality, extremely detailed, professional, studio lighting, sharp focus, vivid colors, well-composed, clean lines, polished

Stable Diffusion:

(masterpiece:1.2), (best quality:1.3), 8k, RAW photo, highly detailed, sharp focus, professional lighting, intricate details, absurdres

Remember: Quality keywords work differently on each platform. Test what works for your use case.

How to Adapt Prompts Between Platforms

The syntax differences above reveal a deeper truth: each AI platform has its own "personality" that responds to different prompting styles. Midjourney loves concise, poetic descriptions with artistic references. DALL-E 3 prefers natural language explanations like you're talking to a human. Stable Diffusion wants keyword-dense prompts with explicit technical details. When migrating a prompt between platforms, don't just copy-paste โ€” translate the intent.

Translation strategy: Start with your subject and core concept (this stays the same). Then adapt the style descriptors, quality keywords, and technical parameters to match the target platform's syntax. For example, a Midjourney prompt like majestic mountain landscape, golden hour, dramatic clouds --ar 16:9 --stylize 300 becomes A majestic mountain landscape photographed during golden hour with dramatic cloud formations, in wide landscape format, high quality and extremely detailed for DALL-E 3. The concept is identical, but the expression matches each platform's language. Practice this translation with our Prompt Generator, and read platform-specific guides: Midjourney Prompts Guide, Stable Diffusion Prompts, and AI Music Prompts Guide.


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