10 Midjourney Mistakes Beginners Always Make (And How to Fix Them)
📋 Table of Contents
- Mistake 1: Prompts That Are Too Vague
- Mistake 2: Ignoring Aspect Ratio
- Mistake 3: Not Using --style raw for Photorealism
- Mistake 4: Describing Feelings Instead of Visual Elements
- Mistake 5: Too Many Conflicting Instructions
- Mistake 6: Not Specifying a Camera or Lens
- Mistake 7: Never Using Negative Prompts
- Mistake 8: Accepting the First Grid Without Exploring
- Mistake 9: Not Saving Prompts That Work
- Mistake 10: Using Midjourney for Text in Images
- The Checklist
Every Midjourney user goes through a phase of getting frustratingly mediocre results despite seemingly reasonable prompts. The images are blurry, the composition is off, the subject isn't what you imagined, or it just looks... AI-generated.
These problems are almost always caused by a handful of specific, fixable mistakes. Here they are.
Mistake 1: Prompts That Are Too Vague
The most common beginner mistake, and the one with the biggest impact on results.
Bad: a woman in a forest
What you get: A generic woman in a generic forest. Midjourney fills in the blanks with its statistical average of "woman in forest," which tends toward a specific AI aesthetic you've probably seen everywhere.
Good:
a 35-year-old woman standing between ancient redwood trees,
dappled morning light filtering through the canopy,
wearing a worn canvas jacket, looking upward,
documentary photography style, Canon 35mm lens --ar 2:3
The rule: If a professional photographer would ask "what do you mean by that?" — your prompt needs more detail.
Mistake 2: Ignoring Aspect Ratio
Midjourney defaults to a square (1:1) unless you specify otherwise. Most real-world uses need different ratios.
| Use case | Right ratio |
|---|---|
| Portrait/headshot | --ar 2:3 or --ar 4:5 |
| Landscape/wallpaper | --ar 16:9 |
| Traditional photo | --ar 3:2 |
| Instagram square | --ar 1:1 |
| Instagram story | --ar 9:16 |
| Website hero banner | --ar 21:9 |
| Book cover | --ar 2:3 |
Always add --ar to match your intended use. A portrait subject squeezed into a square frame never looks right.
Mistake 3: Not Using --style raw for Photorealism
Midjourney has a built-in "Midjourney aesthetic" — it adds painterly quality, enhanced colors, and artistic stylization to everything by default. For photorealistic images, this works against you.
Without --style raw: Images often look like beautiful illustrations or paintings, even when you want a photo.
With --style raw: Midjourney suppresses its artistic interpretation and produces something that looks more like an actual photograph.
For any prompt aiming for photorealism, always add --style raw. It's one of the most impactful single flags.
Mistake 4: Describing Feelings Instead of Visual Elements
"A melancholy landscape" — Midjourney doesn't know what melancholy looks like. You need to describe the visual elements that create the feeling.
Bad: a melancholy sunset
Good: overcast sunset, muted orange light behind gray clouds, empty beach, footprints in wet sand leading toward the water, still and quiet atmosphere --style raw --ar 16:9
Ask yourself: "If I were directing a film and wanted to convey this feeling, what would be in the shot?" Then describe those elements.
Mistake 5: Too Many Conflicting Instructions
More detail isn't always better. If your prompt has competing visual ideas, Midjourney will produce a confused mashup.
Problematic:
cyberpunk neon city street at golden hour with vintage
film grain and clean modern minimalist aesthetic and
dark noir atmosphere and bright cheerful colors
Cyberpunk and minimalist. Neon and golden hour. Dark noir and bright cheerful. These fight each other.
The fix: Pick a clear visual direction and support it with consistent descriptors. If you're unsure, generate a simple version first, then add complexity once you see what you get.
Mistake 6: Not Specifying a Camera or Lens
This applies specifically to photorealistic images. The single biggest quality upgrade most beginners can make is adding camera and lens information.
Before: a portrait of an elderly fisherman
After: a portrait of an elderly fisherman, Leica M11, 50mm f/2 lens, natural side lighting, shallow depth of field, documentary style --style raw --ar 2:3
Camera and lens vocabulary that consistently improves photorealism:
85mm f/1.4— classic portrait blurCanon EOS R5orSony A7R V— signals professional photographyHasselblad medium format— signals luxury, high-end commercial qualityshot on Kodak Portra 400— adds film grain and specific color rendering
Mistake 7: Never Using Negative Prompts
Most beginners never use the --no parameter. This tells Midjourney what to exclude.
Common additions that improve almost any image:
--no blur— Reduces soft focus--no watermark— Obvious--no text— Prevents garbled letters appearing randomly--no cartoon— If you want realism and Midjourney keeps going illustrative--no extra limbs— Helps with human subjects--no ugly hands— Midjourney's hands problem is real
Example: professional headshot, businesswoman, studio lighting --no blur, casual clothing, text, cartoonish --ar 1:1
Mistake 8: Accepting the First Grid Without Exploring
Midjourney generates 4 images. Most beginners either pick the best one immediately or start a new prompt. The better workflow:
- U (Upscale) the best option — this increases resolution and adds detail
- V (Variation) on an image you like — generates 4 variations of that specific image, exploring nearby visual territory
- Use the Re-run button if none of the 4 options is right
The first grid is a starting point, not the final answer. Upscaling and variations are where you refine toward exactly what you want.
Mistake 9: Not Saving Prompts That Work
When you get an image you love, the prompt is the recipe. Beginners often forget to save it.
Keep a simple document of:
- What you were trying to create
- The exact prompt that worked (including all parameters)
- What didn't work on earlier attempts
This prompt library becomes increasingly valuable. When a client needs "something like that image you made three months ago," you can reproduce it reliably.
Mistake 10: Using Midjourney for Text in Images
This is worth saying plainly: Midjourney cannot reliably generate readable text within images. Signs, labels, titles, captions, banners — they will often appear garbled, misspelled, or stylistically inconsistent.
If your image needs text:
- Generate the image in Midjourney without text
- Add text in Canva, Photoshop, or any design tool
Alternatively, use Ideogram (specifically built to handle text in images) or Adobe Firefly for images where text is essential.
The Checklist
Before submitting any Midjourney prompt, run through this:
- Did I describe specific visual elements, not feelings?
- Did I specify an aspect ratio (
--ar)? - For photorealism: did I add camera/lens info and
--style raw? - Are my descriptors consistent (no conflicting aesthetics)?
- Did I add
--no textif I don't want any text in the image? - Am I saving prompts that produce good results?
Fixing these ten mistakes consistently will noticeably improve your results. The gap between beginner Midjourney output and experienced Midjourney output is almost entirely explained by these habits — not by any secret knowledge.
💬 Discussion
📚 Continue Learning
Midjourney Photography Prompts: The Complete Guide to Photorealistic Images
Master photorealistic image generation in Midjourney with proven prompt formulas for portraits, landscapes, products, and editorial photography. Includes 30+ ready-to-use prompts.
Midjourney Zoom Out and Outpainting: Expand Your Images Beyond the Frame
Learn how to use Midjourney's Zoom Out and Custom Zoom features to expand images beyond their original borders, create wider compositions, and build panoramic scenes.
How to Create Consistent Characters in Midjourney
Learn how to generate the same character across multiple Midjourney images using Character Reference, style references, and detailed prompting — essential for storytelling and branding.
Midjourney Honest Review 2026: Still the Best AI Image Generator?
A candid, experience-based review of Midjourney after extensive use — covering image quality, workflow, pricing, what it's genuinely best at, and where alternatives beat it.