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Midjourney: how to write prompts the model actually understands

MidJourney · Updated:

Midjourney is a family of image models from Midjourney Inc., available via midjourney.com and Discord. The lineup includes V7 (main), V8 Alpha (newest, web-only), Niji 6/7 (anime). All versions share the same parameter syntax (--ar, --s, --sref) and prompt hierarchy, but V7+ require natural language instead of tag lists.

What to know about Midjourney

Midjourney is a closed model with subscription pricing ($10/$30/$60/$120 per month). All versions return 4 variations per request, support any aspect ratio via `--ar`, and are optimized for English.

The key axis is version choice. V7 is the main one — best photorealism, natural language, broad availability. V8 Alpha is the literal-interpretation upgrade with native 2K via `--hd`, available only on alpha.midjourney.com. Niji 6/7 is the specialized anime model that understands manga and anime terminology natively. V5.2/V6 are considered legacy and not recommended without specific reason.

  • Versions: V7 (main), V8 Alpha (web-only), Niji 6/7 (anime)
  • Any aspect ratio via --ar
  • Optimized for English
  • 4 variations per request, up to 6000 characters in a prompt
  • Negative prompt --no works reliably in V8

Prompt structure

Universal hierarchy for all versions: [Subject] + [Subject details] + [Context/setting] + [Style/mood] + [Camera/lighting] + [Parameters].

Opening words carry more weight — put the main subject in the first sentence. «Beautiful cinematic photo of a woman» (style first) underperforms «A confident businesswoman in her 40s, standing by floor-to-ceiling windows, soft daylight, 85mm lens».

For V7 and V8 write in coherent sentences, like a brief to a cinematographer. Comma-separated tag lists are an anti-pattern: «mountain, fog, sunrise, epic» loses to «A snow-capped mountain emerging from fog at sunrise, dramatic warm light on the peaks».

Core parameters

The base parameters are the same across versions: `--ar` (aspect ratio), `--v` (model version, 7 by default), `--s` or `--stylize` (0–1000, default 100 — interpretation strength), `--c` or `--chaos` (0–100, variation diversity), `--w` or `--weird` (0–3000, experimentation), `--no` (negative prompt), `--seed` for reproducibility.

Style controls: `--style raw` (minimal artistic treatment), `--p` (personalization), `--sref [URL]` (style reference) with `--sw` weight, `--iw` (image weight), `--niji` (switch to anime model). The `--cref` parameter (character reference) works only in Niji 6; it's removed in V7 and V8.

`--s` ranges: 0–50 for product/technical shots, 50–150 for general use (default), 150–300 for atmospheric work, 300–500 for illustration and concept art, 500–1000 for abstract and experimental.

Picking a version for the task

V7 is the default for most tasks: best photorealism, natural language, text rendering, personalization. Available on both Discord and web.

V8 Alpha is for tasks where you need native 2K via --hd, precise literal interpretation without artistic «enhancement», 5x faster generation than V7, or the most reliable negative prompt (--no works significantly better). Available only on alpha.midjourney.com — no Discord.

Niji 6/7 is for anime, manga, Eastern illustration. It understands terminology: «shoujo heroine», «cel shading», «mahou shoujo», «studio ghibli style». Niji 7 is the current recommended version; Niji 6 is only needed if you require style presets (--style expressive/cute/scenic) or --cref.

Common mistakes

  1. 1. Comma-separated keyword lists

    The headline V7+ anti-pattern. «cat, fluffy, cute, big eyes, garden, flowers, sunny» is worse than «A fluffy cat with big curious eyes, sitting among wildflowers in a sunny garden». Pre-V6 versions tolerated commas; V7 and V8 expect coherent grammar.

  2. 2. Quality-spam at the start of the prompt

    «beautiful, stunning, 8k, masterpiece, best quality» — words with no visual information that burn positional weight at the front. V7 and V8 ignore them entirely. Replace with concrete anchors: lens, light type, genre.

  3. 3. Style before subject

    «Beautiful cinematic photo of a woman» — style is first, subject is third. The model weights opening words most heavily, and style steals the priority. Move «who or what» to the front.

  4. 4. Using legacy versions without reason

    V5/V6 are significantly weaker than V7 in anatomy, photorealism, and prompt comprehension. Unless you have a specific reason (e.g. --cref in Niji 6), use V7 or V8. Old versions are technical debt.

  5. 5. Changing --ar mid-iteration

    Aspect ratio drives composition. Switch --ar from 1:1 to 16:9 and you're effectively starting over because composition rebuilds entirely. Decide --ar at the start of the project and don't change it mid-iteration.

Before / after examples

Example 1

Before

beautiful, stunning, 8k, detailed, mountain, fog, sunrise, epic, cinematic, masterpiece

After

A snow-capped mountain emerging from morning fog at sunrise, dramatic warm light catching the peaks, wide-angle composition, national geographic photography, atmospheric haze --ar 16:9 --s 150 --v 7

Quality-spam plus a tag list — a double anti-pattern. A coherent description with specific light and a genre anchor («national geographic photography») reliably outperforms.

Example 2

Before

anime girl with sword

After

A fierce warrior with wild red hair and golden eyes, mid-leap wielding a flaming katana, slashing through dark energy, speed lines and dynamic motion blur, dramatic backlighting, shonen anime style --ar 16:9 --s 300 --niji 7

For anime, switch to Niji via --niji 7. Niji understands anime-specific vocabulary (shonen, speed lines, dynamic motion blur, backlighting) natively.

Example 3

Before

product photograph of watch

After

Product photograph of a luxury watch on black marble surface, single overhead softbox light, clean white background, sharp focus, commercial photography --ar 1:1 --s 25 --style raw --v 7

Product photography needs low `--s` (25) plus `--style raw` — this removes the artistic interpretation that breaks commercial usage.

Frequently asked

Which Midjourney version should I use?
V7 is the default for most tasks: photorealism, portraits, landscapes, concept art. V8 Alpha if you need native 2K (--hd), 5x faster generation, or the most literal interpretation without artistic enhancement. Niji 7 for anime, manga, Eastern illustration. V5/V6 only for backward compatibility with older projects.
Does Midjourney work in languages other than English?
The model is optimized for English; in other languages quality drops noticeably. Short experimental prompts in other languages are fine, but for production work translate to English — that gives reliably better results and access to the full photography and art vocabulary the model responds to.
What do --s, --c, --w do?
`--s` (stylize, 0–1000) is the strength of the model's artistic interpretation. Low for literal, high for art. `--c` (chaos, 0–100) is the variation diversity across the 4 results. High gives more different options. `--w` (weird, 0–3000) is experimentation — adds unusual visual choices. Use them deliberately, testing on one prompt at a time.
How do I use --sref for style transfer?
`--sref [URL]` transfers visual style (palette, texture, lighting, composition) from a reference image. Strength is controlled by `--sw` (0–1000, default 100). Strategy: test at --sw 50, 100, 200 to calibrate. Niji 7 has the best --sref stability with minimal style drift.
How is V8 different from V7?
V8 is a different model, not an improved V7. Key differences: literal interpretation (no artistic «filling in»), native 2K via --hd, ~5x faster generation, reliable --no for negatives, central role of personalization and Style Creator. V8 needs explicit lighting and style — without them it gives technically accurate but flat results.
Can I use --cref in V7?
No, the --cref (Character Reference) parameter is removed in V7 and V8. It only works in Niji 6. For character consistency in V7 use --oref (Omni Reference) — the new universal reference that carries both content and style. Niji 7's new character-reference system is in development.
Does Opten support Midjourney?
Yes, the Opten extension auto-detects all Midjourney versions (V7, V8, Niji) and scores prompts against the matching structure. It checks for subject up front, coherent description, correct parameter usage, and the absence of quality-spam. If the task fits a different version better (e.g. an anime prompt on V7), Opten will suggest switching to Niji.

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