How to Write Midjourney Prompts That Actually Work

This guide is part of our complete Midjourney prompt guide.

Most people write Midjourney prompts like search queries.

Then they wonder why the result looks generic, flat, and nothing like what they imagined.

The problem is not Midjourney. The problem is that AI image generators are not search engines. They are creative translators. And like any translator, they can only work with what you give them.

Give them vague input, you get vague output. Give them specific, structured input, you get images that look like they came from a professional photoshoot.

Give them vague input, you get vague output.

This guide teaches you the exact framework that separates generic prompts from great ones.

Why most prompts fail

There are three reasons most Midjourney prompts produce disappointing results:

• They describe the subject but nothing else. No lighting, no composition, no camera, no mood.
• They use vague adjectives. 'Nice', 'beautiful', 'good lighting' mean nothing to an AI.
• They skip the visual language. 'Blue dress' tells AI almost nothing. 'Deep cerulean silk midi dress with cool purple undertones' tells it everything.

The fix is a framework called the 6-layer prompt structure.

The 6-layer prompt framework

Every great Midjourney prompt is built from 6 layers, written in this exact order: concept (what kind of image this is), subject (the person, product, or scene in full detail), colors and materials (specific descriptive language, not hex codes), composition (subject position and framing), lighting (source, direction, and quality), and camera and lens (focal length and aperture).

Concept frames everything that follows. Subject and colors give Midjourney the specific detail it needs instead of inventing details randomly. Composition and lighting are the two layers most prompts skip entirely, which is why so many AI images look flat and centered. Camera and lens is what makes the final image look like it was shot by a professional rather than generated by software.

We cover each layer in full depth, with bad-example/good-example pairs for every one, in The 6-Layer AI Prompt Framework Explained - the platform-agnostic version of this same methodology. What follows here is how those 6 layers apply specifically inside Midjourney, including the parameters that refine them.

Putting it all together

Here is the same basic idea written without the framework and with it:

The quick test

Before you run any prompt, read it aloud. Ask yourself: could someone with no visual context build this scene in their head from your words alone?

If the answer is no - add more detail. Specificity is not optional in AI prompting. It is the entire job.

Specificity is not optional in AI prompting. It is the entire job.

The Midjourney parameters that matter

Once your prompt text is strong, these parameters refine the output:

• --ar sets the aspect ratio. Use 4:5 for Instagram, 1:1 for square, 16:9 for landscape, 2:3 for Pinterest.
• --v 8.2 uses the current default Midjourney model - check Midjourney's official documentation for the latest version, since this changes periodically.
• --stylize controls how much creative interpretation Midjourney applies. Lower values (50-100) follow your prompt literally. Higher values (400-800) produce more artistic results that drift from the prompt.
• --raw disables Midjourney's aesthetic filter and follows your prompt more literally. Use this when you want photorealistic results without artistic enhancement.

Common mistakes to avoid

• Saying 'realistic' instead of specifying a camera and lens. The word realistic means nothing. A Canon lens specification means everything.
• Using 'beautiful' or 'stunning' as descriptors. These are opinions, not visual instructions. Replace them with specific visual details.
• Skipping lighting entirely. Midjourney defaults to flat even lighting when you give it no direction. This is why AI images often look shadowless and artificial.
• Writing the prompt as a sentence. AI prompts work better as structured descriptive phrases, not grammatically correct sentences.
• Stacking every parameter without knowing what it does. Adding --stylize 1000 --chaos 80 --weird 500 "just in case" produces unpredictable, often unusable results. Before: a prompt buried under five untested parameters. After: --ar 4:5 --v 8.2 --stylize 200 - only the parameters you can explain the effect of.
• Repeating the same descriptor for two different things. Using "clean" for both the background and the lighting forces Midjourney to guess which one you mean. Before: 'clean product, clean lighting, clean background'. After: 'matte white background, soft diffused overhead lighting, glass bottle with a polished finish' - one distinct word per element.

Try it now

The fastest way to apply this framework is to use a tool that builds the 6 layers for you automatically.

Our free Midjourney Prompt Builder lets you select each layer from dropdowns and watch the prompt assemble in real time. When you are done, hit Enhance with AI and get 3 variations - subtle, standard, and cinematic - all built on the 6-layer framework.

Or if you already have a prompt that is not working, paste it into our Prompt Fixer. It diagnoses which layers are missing and rewrites the prompt completely.

Try the Prompt Fixer →