More words in your prompt is not the same thing as more control over your prompt. That mix-up cost me weeks of wasted generations when I first started using Midjourney. I’d write these long, descriptive prompts, hit enter, and treat whatever came back as a roll of the dice — like the model’s “creativity” was steering the ship and I was just along for the ride. The shift happened when I stopped piling on adjectives and started using parameters on purpose. That’s where the real steering wheel was hiding the whole time.

A handful of parameters do almost all the work here, and once you know them, you move from producing interesting accidents to producing exactly what you pictured. Most tutorials will hand you a giant list of settings to memorize. Skip that. In my day-to-day use, five of them cover 90% of what matters. Here they are, in order from “good to know” to “changes everything.”


#5: The --no Parameter: The Power of Subtraction

This one looks almost too simple to matter, but it solves the most common annoyance in the whole workflow: the model keeps adding stuff you never asked for. Trying to talk the model out of an unwanted element by describing its absence in the main prompt rarely works — half the time it backfires and reinforces the very thing you’re trying to avoid. The --no parameter skips that problem entirely by just telling the model, directly, what to leave out.

Say you’re generating a quiet forest scene and Midjourney keeps sneaking in people or buildings. Tacking on --no people, buildings clears that up far more reliably than writing something like “a forest with no signs of civilization.” Think of it as your cleanup tool — I reach for it constantly to strip out stray colors, objects I didn’t ask for, or the odd AI artifact that shows up uninvited.


#4: The --ar Parameter: Commanding the Canvas

Aspect ratio should be the very first call you make, because it shapes your entire composition before the model generates a single pixel. The default square (1:1) works fine for portraits, but it flattens landscapes and cinematic shots into something that feels cramped.

Just switching the canvas shape changes how the model arranges everything inside it. Take the prompt “a lone astronaut on a red planet” — run it at --ar 16:9 and you get a sweeping, cinematic wide shot; run it at --ar 2:3 and you get something tighter and more portrait-like, with a completely different mood. Of all the settings here, this is the easiest lever to pull for controlling scale and atmosphere, and it’s one I use on almost every single prompt without exception.


#3: The --stylize Parameter: Defining Artistic Intent

--stylize (shortened to --s) sets how heavily Midjourney leans on its own baked-in aesthetic instincts versus following your text literally. This one dial decides whether you get a faithful interpretation or an artistic riff. Dial it down (--s 50) and the model sticks close to what you typed, even if the result reads a little plain. Push it up (--s 750) and the model starts adding its own flourishes — textures, details, compositional choices you never mentioned.

Knowing where you sit on that spectrum matters. Need a clean technical diagram? Keep stylize low. Chasing a moody piece of fantasy art? Crank it up. Looking back, a lot of my early disappointment traced back to leaving stylize at the default when I actually needed literal accuracy. Once I understood what this dial controlled, I had a real say in how much creative liberty the model took.


#2: Style and Character References (--sref and --cref)

Where --stylize adjusts the intensity of Midjourney’s built-in look, Style Reference (--sref) lets you swap that look out entirely for one you supply. Nothing gets me a consistent aesthetic faster or more reliably. You point it at an image URL, and Midjourney lifts the color palette, texture, and overall mood from that reference and applies it to your prompt.

That’s a real upgrade from typing “in the style of Van Gogh” and hoping the model interprets it the way you meant. You’re no longer describing a style — you’re handing over a concrete example. Character Reference (--cref) works the same way but for people: feed it an image of a character, and you get consistent features across multiple generations. Both parameters mark a shift from telling the model what you want to simply showing it, and the consistency you get back was pretty much unreachable before.


#1: Prompt Weights (::): The Ultimate Tool for Precision

Once you get comfortable with this, it hands you the finest level of control over your image that Midjourney offers. Normally, every word in your prompt carries equal weight. Multi-prompting with the :: separator changes that — it lets you tell Midjourney which concepts matter more.

Take “a cyberpunk cat.” Left alone, the model tries to split the difference between both ideas. Write it as cyberpunk::2 cat instead, and you’re telling the model that “cyberpunk” should carry twice the weight of “cat” — the scene comes out drenched in cyberpunk atmosphere with a cat tucked somewhere inside it. Flip it to cyberpunk cat::2, and now the cat dominates, with cyberpunk elements showing up as accents. This is how you settle the tug-of-war between competing ideas and land on the exact blend you had in mind, down to the ratio.


A Quick Reference for Core Parameters

RankParameterPrimary Function
#5--noExplicitly excludes unwanted elements or concepts.
#4--arSets the image dimensions, controlling composition.
#3--stylizeAdjusts the strength of Midjourney’s default aesthetic.
#2--srefApplies the visual style from a reference image.
#1::Assigns relative importance to different parts of a prompt.

How My Creative Process Changed

Comparing my early outputs to what I make now, the difference traces straight back to these five parameters. I spend far less time re-rolling prompts and hoping for the best, and far more time deciding on composition (--ar), artistic direction (--stylize or --sref), and which concept should dominate (::). The whole workflow flipped from stumbling into results to genuinely deciding on them ahead of time.

None of this requires memorizing some elaborate formula. It just means knowing which levers move the output, and pulling the right one on purpose. Get comfortable with these five, and you’ll spend a lot less time crossing your fingers — and a lot more time building the image you had in mind from the start.