Here’s the thing nobody tells you when you start using Midjourney: the people producing exceptional outputs aren’t using secret prompts. They understand, at least roughly, what the model is doing with their words. That understanding is worth more than any template.

It’s also worth saying upfront: this guide only covers parameters that actually exist in Midjourney as of v6.1. There’s a lot of folklore out there — --depth, --nostalgia, --hyperreal — none of which are real parameters. Using them does nothing, or occasionally throws errors. The actual parameter list is shorter and more powerful than the mythology suggests.

Midjourney’s image generation is a diffusion process guided by your text through a cross-attention mechanism. Your prompt gets tokenized — broken into units the model processes — and those tokens influence the image at different stages of generation. Tokens appearing earlier in your prompt carry more compositional weight than tokens appearing later. Simplified — exact implementation varies and Midjourney hasn’t published full architecture details

This has a direct, testable implication. Try it yourself.

Same words, different order. The first version anchors the aesthetic first — the lighthouse becomes an element in an impressionist painting. The second anchors the subject first — the impressionist treatment becomes how the lighthouse is rendered. You’ll get more subject-accurate results with the second structure almost every time.

Basic structure to internalize, then deviate from deliberately:

1. One specific noun phrase. “A Victorian cartographer” not “a person who makes maps in the Victorian era.” Compression forces clarity and the model rewards it.

2. “hunched over a candlelit desk” — adds implied lighting, pose, scale relationship. One clause of narrative loads a lot of visual information without you having to specify each piece.

3. Three details maximum. More than that and the model has to arbitrate between them — it will, and you won’t like the choices it makes.

4. Artist name, movement, medium. Later in the sequence because it modifies the whole image rather than constructing it. Named artists the model has strong training data for (Hopper, Klimt, Mucha) produce more consistent results than obscure references.

5. Aspect ratio, stylize value, version — after the prompt text. These constrain the generation space; they don’t substitute for a well-structured prompt.

Look. I’m going to save you the frustration of spending an afternoon wondering why --nostalgia 80 isn’t doing anything. It doesn’t exist. Here are the parameters that do, what they actually do, and when to use them.

“The parameters that don’t exist are doing real damage. Someone uses --depth 12, gets a result they like, attributes it to the parameter. Now it’s ‘secret knowledge.’ The parameter did nothing. The result came from the prompt.”

Editorial synthesis — sources: Midjourney official docs (2025); r/midjourney community parameter verification threads; Midjourney changelog history

Not beginner errors. These show up in the work of people who’ve been prompting for a year.

Mistake 1: Conflicting Style Modifiers

“Photorealistic impressionist oil painting” sounds specific. It’s three incompatible aesthetics the model has to average. The average is a muddy middle that satisfies none of them.

Pick a lane and go specific within it. Not “painterly” — “impasto brushwork, thick paint edges, visible canvas texture.” Not “cinematic” — “low-key side lighting, shallow depth of field, faces partially in shadow.” The second versions give the model actual visual instructions rather than genre tags it has to interpret.

Mistake 2: The Modifier Pile

Adding “8K, ultra HD, masterpiece, award-winning, highly detailed, trending on ArtStation” to every prompt is cargo cult prompting. These modifiers were useful in early Stable Diffusion versions because they correlated statistically with high-quality training images. Midjourney v6 has its own quality training pipeline. These tags don’t help and can push outputs toward stock-photo homogeneity.

If you want detail, name what kind. “Visible stitching on the leather jacket.” “Individual hair strands.” “Legible shop signs in the background.” The specificity is the detail signal.

Mistake 3: Undefined Negative Space

You described your subject. You didn’t describe what surrounds it. The model fills undefined space with statistical priors — generic “indoors” or “outdoors” depending on your subject’s context, backgrounds that look borrowed from the most average image in the training data for that subject type.

Either define the background explicitly (“pure black studio backdrop,” “soft bokeh urban street”) or use --no to exclude defaults you don’t want. Ignoring it is a choice — just not yours.

What Actually Works for Specific Problems

Questions I see constantly, with real answers.

Hands and anatomy

Midjourney v6 is substantially better at hands than earlier versions. Still not perfect. The actual fix isn’t a magic parameter — it’s reducing the compositional importance of hands by changing the pose description, or using --no hands when hands aren’t the point, or upscaling and inpainting the problem area. There’s no prompt syntax that reliably produces perfect hands from a distance.

Consistent characters across prompts

--cref [image URL] is the actual solution, added in v6. You generate or find a reference image, host it somewhere accessible, and feed the URL. Midjourney maintains visual consistency for the character’s face and general appearance. Combine with --seed to further reduce variation. This is not perfect — clothing, hairstyle, and pose will still vary — but it’s the closest thing to character continuity the model currently offers. Feature confirmed in Midjourney v6 docs; behavior may update with model versions

Getting oil painting texture right

Name the specific qualities you’re after rather than the medium. “Impasto technique, heavy paint surface, visible brushstroke edges, Flemish palette” gives the model more to work with than “oil painting.” If you want a specific artist’s approach: “Rembrandt’s use of chiaroscuro, warm shadow glazing, deep blacks” is a visual instruction, not just a name drop.

Realism without photorealism

The tension people hit: they want a real-looking result without the uncanny valley of full CGI photorealism. “Documentary photograph” or “35mm film grain, natural light, slightly underexposed” tends to produce warmer, more textured results than “photorealistic 4K.” The film grain instruction specifically fights the smooth-skin AI aesthetic that plagues hyper-realism prompts.

The Ethics Question People Skip

Artist style mimicry is a live legal and ethical question without settled answers. Midjourney allows prompting “in the style of” living artists. Whether that’s ethically acceptable is genuinely contested — reasonable people disagree. The legal landscape is actively litigating it. Andersen et al. v. Stability AI; Getty Images v. Stability AI — both ongoing as of April 2025; outcomes will matter for all AI image tools

What’s worth noting practically: using --sref to replicate a living artist’s distinctive visual style raises the same questions as naming them in a prompt, just with a different technical mechanism. “Inspired by the compositional approach of [artist]” is different from “generate a [artist]-style image for sale.” The distinction between reference and reproduction matters, even if the law hasn’t fully codified it yet.

Don’t use this guide as legal advice. The area is moving fast and what’s permissible commercially will likely look different in two years.

“The parameter table matters less than the structural habits. One well-structured prompt teaches you more about how the model thinks than a week of random modifier experimentation.”

Editorial synthesis — Midjourney official docs (2025); cross-platform prompt research corpus; r/midjourney practitioner analysis

One last thing. The iteration habit matters more than any specific technique. Generate. Look at what changed. Form a hypothesis. Test it. That’s the whole job.