Image Generation / Midjourney

Categorize and explain Midjourney parameters by use case — turns parameter confusion into structured knowledge.
Difficulty: Beginner
Model: GPT-4 / Claude / Gemini
Use Case: Parameter Selection, Workflow Setup
Updated: May 2026
Why This Prompt Exists
Midjourney has dozens of parameters. Most users memorize 2-3 and ignore the rest — missing capabilities that would improve their output significantly.

You get:

  • using default aspect ratio for everything (wrong for most use cases)
  • stylize values that don’t match your subject (too chaotic or too flat)
  • no chaos adjustment (same output every time, no exploration)
  • ignoring negative prompting (–no) when you need it most
  • no parameter experimentation because you don’t know what exists

But parameters have specific purposes:

  • –ar (aspect ratio): controls output dimensions for different use cases
  • –c (chaos): controls output diversity across generations
  • –s (stylize): controls artistic interpretation vs. literal following
  • –no (negative prompt): excludes unwanted elements
  • –iw (image weight): controls reference image influence
  • –seed: reproduces specific results

Without classification, users never discover what’s possible.

This prompt categorizes and explains Midjourney parameters by use case.

The Prompt
Assume the role of a Midjourney technical educator who explains parameters.

Your task is to categorize and explain Midjourney parameters by their function.

Generate:

1. PARAMETER CATEGORIES

| Category | Parameters | Purpose |
|----------|------------|---------|
| Output Format | --ar, --w, --h | Control dimensions and shape |
| Style Control | --s, --stylize, --style | Control artistic interpretation |
| Variation | --c, --chaos, --seed | Control reproducibility and diversity |
| Content Control | --no, --iw | Exclude or weight elements |
| Quality | --q, --quality | Trade-off between speed and detail |
| Version | --v, --version | Specify model version |
| Advanced | --tile, --video, --repeat | Specialized functions |

2. DETAILED PARAMETER TABLE

| Parameter | Values | Default | Best For | Avoid When |
|-----------|--------|---------|----------|------------|
| --ar | X:Y (e.g., 16:9, 4:3, 1:1) | 1:1 | Social posts, presentations, print | Square-optimized templates |
| --c | 0-100 | 0 | Exploring variations, multiple options | Consistent branding |
| --s | 0-1000 | 100 | Artistic interpretations (higher) | Photorealistic (lower) |
| --no | comma-separated list | none | Removing unwanted elements | Overly restrictive prompts |
| --iw | 0-2 | 1 | Strong reference influence (2) | First attempt (use 0.5-1) |
| --seed | integer | random | Reproducing specific outputs | Exploration |
| --q | 0.25, 0.5, 1 | 1 | Final renders (1) | Drafts and testing |

3. USE CASE RECOMMENDATIONS

| Use Case | Recommended Parameters | Rationale |
|----------|----------------------|-----------|
| Social media graphic | --ar 16:9, --s 250 | Wide format, moderate stylization |
| Product mockup | --ar 1:1, --s 50, --q 1 | Square, low stylization, high quality |
| Logo exploration | --ar 1:1, --c 50, --s 100 | Square format, high variety, neutral style |
| Character concept | --ar 2:3, --c 80, --s 300 | Portrait orientation, high variety, artistic |

4. PARAMETER COMBINATION RULES
   - Compatible: --ar + --s + --c (work together)
   - Incompatible: --v 5 + --style raw (version-specific)
   - Order matters: parameters go at the end of the prompt
   - Syntax: `--parameter value` (space after double dash)

5. QUICK REFERENCE CARD (one-line for each parameter)
   - `--ar 16:9`: widescreen
   - `--c 50`: moderate variation
   - `--s 250`: noticeable stylization
   - `--no text,logo`: exclude text and logos
   - `--iw 1.5`: stronger image reference
   - `--seed 1234`: reproducible result

INPUTS:

Your experience level:
[BEGINNER / INTERMEDIATE / ADVANCED]

Use case (optional):
[E.G., "Logo design", "Product photography", "Social media"]

Specific parameter questions (optional):
[E.G., "What does --chaos actually do?"]

Midjourney version:
[V6 / V7]

RULES:
- Default values matter — know what changes when you add a parameter
- Higher --stylize doesn't mean better — it means more interpretation
- --chaos controls diversity between runs, not within an image
- --iw > 1 works for V6, not for earlier versions
- --seed is essential for reproducible workflows
- Negative prompting (--no) is underused — most users should use it more
How To Use It
  • Default values matter — know what changes when you add a parameter.
  • Higher –stylize doesn’t mean better — it means more interpretation.
  • –chaos controls diversity between runs, not within a single image.
  • –iw > 1 works for V6, not for earlier versions.
  • –seed is essential for reproducible workflows (brand assets, series).
  • Negative prompting (–no) is underused — most users should use it more.
Example Input

Your experience level:
“INTERMEDIATE — I know basic parameters but not advanced combinations”

Use case:
“Social media graphics for LinkedIn (carousel format)”

Midjourney version:
“V6”

Why It Works
Most Midjourney users learn parameters by copying from others — not by understanding what each parameter actually does.

This framework improves outcomes by forcing:

  • parameter categorization (grouping by function)
  • value range documentation (what numbers mean)
  • use case recommendations (when to use which)
  • compatibility rules (what works together)
  • quick reference (one-line memory aids)

Failure modes this prevents:

  • Default aspect ratio for everything (wrong for most outputs)
  • Chaos set to zero (all outputs look identical)
  • Stylize too high for photography (artifacts, distortion)
  • No negative prompts (unwanted elements in every generation)

This improves on: Trial-and-error parameter learning. Structured classification builds mental models.

Related to: MJ-03 (Aspect Ratio) for –ar specifics; MJ-04 (Chaos) for –c tuning.

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