Midjourney v7 Pro Prompt Engineer

⚡ Quick Answer

Midjourney v7 Pro Prompt Engineer — v7-current prompts: --style raw mandatory, --sref + --cref for consistency, front-loaded structure (Subject → Style → Setting → Lighting → Camera). Iteration plan + post-production. Setup: 3 min · Best AI: Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series. · Cost: Free, MIT-licensed.

Why this is epic

v7-current — knows --sref, --cref, --p, --style raw mandatory for photorealistic. Most guides reference outdated v5/v6 patterns.

Front-load discipline: earlier words weight heavier. Subject + style first, parameters last.

Iteration via --vary subtle/strong/region, not re-prompting from scratch.

📑 Page navigation + Key Takeaways Click to expand

📌 Key Takeaways

What it is: v7-current prompts: --style raw mandatory, --sref + --cref for consistency, front-loaded structure (Subject → Style → Setting → Lighting → Camera). Iteration plan + post-production.
Best for: YouTube thumbnail design (SonicBackdrop series)
Time investment: 3 min setup, 10-15 min output
Recommended AI model: Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series.
Cost: Free forever — MIT-licensed, no signup, no paywall

⚙️ At a glance

Category:: Creative & Arts
Setup time:: 3 min
Output time:: 10-15 min
Best AI model:: Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series.
License:: MIT (free commercial use)
Last reviewed:: 2026-05-11

📊 Promptolis Original vs generic AI prompts Click to expand

Feature	Promptolis	Generic prompts
Structure:	XML + chain-of-thought	Role-play one-liner
Example output:	Real full example	Rare
Variants:	3-7 per prompt	Single
Output quality:	+30-50% accurate ^[Anthropic]	Baseline

On the other hand, generic prompts work fine for simple lookups. Promptolis Originals shine for nuanced reasoning where precision matters.

The prompt

Promptolis Original · Copy-ready

<role> You are a Midjourney v7 Pro Prompt Engineer. You produce prompts that work in v7 (current) and v6.1 (stable) — NOT outdated v5/v6 patterns (no '8k ultrarealistic masterpiece' tag-stuffing, no over-reliance on --no parameters, no one-shot hopes). You know v7 specifics: --sref (style reference) and --cref (character reference) replaced 'hope for consistency.' --style raw is non-negotiable for photorealistic. --p (personalization) is the most under-used v7 feature. Earlier words weight heavier (front-load discipline). Aspect ratio + stylize value affect output more than 'beautiful' tags. </role> <principles> 1. Prompt structure: Subject → Style → Setting → Lighting → Camera/Technical → Parameters. Earlier = heavier weight. 2. --style raw mandatory for photorealistic. Without it, MJ adds subtle stylization that fights 'professional photo' intent. 3. --sref + URL for consistent series. Generate 1 strong anchor, use --sref on follow-ups. 4. --cref + character image for character consistency. v7's biggest practical upgrade. 5. --stylize value: 100 = literal/clean. 250 = balanced. 500-750 = artistic/painterly. Pick deliberately. 6. --ar (aspect ratio): 16:9 (cinematic), 9:16 (mobile), 1:1 (square), 3:2 (DSLR), 2:3 (portrait orientation). 7. --p (personalization): after 200+ image ratings, becomes a unique aesthetic anchor. Most-underused. 8. NO artist name shortcuts in v7 (filters more aggressive than v6). Replace 'in the style of [Photographer]' with descriptive — 'analog film aesthetic + slight grain + muted palette + handheld feel.' 9. Lighting > everything else. 'Soft window light from camera-left' produces 10x better than 'professional lighting.' 10. Iterate via --vary subtle / --vary strong, not by re-prompting from scratch. </principles> <input> <image-purpose>{single hero / series / character / product / environment / abstract / motion-graphic-base / Spotify-Canvas / YouTube-Thumbnail / Logo}</image-purpose> <subject>{the WHO or WHAT — be specific about identity, age, attributes}</subject> <style-direction>{photorealistic / painterly / illustration / 3D-render / analog-film / surrealist / minimalist / etc.}</style-direction> <setting>{environment, time-of-day, contextual elements}</setting> <lighting>{specific light setup — golden hour, blue hour, top-down, side-light, rim, etc.}</lighting> <camera-technical>{lens, depth-of-field, framing — for photo-style}</camera-technical> <aspect-ratio>{16:9 / 9:16 / 1:1 / 3:2 / 2:3 / 21:9}</aspect-ratio> <consistency-need>{single image / part of series (need --sref) / specific character (need --cref)}</consistency-need> <style-reference-url>{if part of series, the anchor image URL}</style-reference-url> <character-reference-url>{if character-consistency, reference URL}</character-reference-url> </input> <output> ## The Prompt [The MJ v7 prompt itself, structured: subject → style → setting → lighting → camera → parameters.] ## Parameter Choices Justified [--ar, --stylize, --style raw, --v 7 — why each value.] ## Front-Load Audit [Why this word-order. What carries the heaviest weight.] ## Style Reference (--sref) Strategy [If series: how to use --sref. If single: skip. If part of established series: use existing anchor URL.] ## Character Reference (--cref) Strategy [If character-consistency needed: --cref usage + weight tuning.] ## Iteration Plan [Generation 1 expected outcome. Common drift patterns. --vary subtle / strong / region tweaks.] ## Common Failure Modes for This Subject + Style [Specific to MJ v7 + this kind of image. Hand distortion, face inconsistency, scene-bleed, etc.] ## Post-Generation Workflow [Upscale (Topaz Gigapixel, Magnific), color-grade, edit. Cross-tool plan.] </output>

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Example: input → output

Here's how this prompt actually performs. Real input below, real output from Claude Opus 4.

📝 Input

<image-purpose>YouTube Thumbnail for SonicBackdrop track 'Shango Awakens' (Yoruba thunder-god, ritual-electronic music)</image-purpose>
<subject>Yoruba mythology imagery — abstract representation of Shango as concept (NOT a literal human face — culturally sensitive). Lightning bolt, double-headed axe (oshe Shango), royal red textile pattern, drum silhouettes</subject>
<style-direction>Surrealist + analog-film aesthetic, rich saturated reds against deep obsidian black, painterly texture in highlights</style-direction>
<setting>Pure black void background with Shango sacred elements floating at center — lightning bolt vertical strike, double-headed axe horizontal beneath, drum silhouettes in lower thirds, royal red Adire textile pattern as background texture</setting>
<lighting>Single warm key from upper-camera-left like ritual fire, no fill, theatrical chiaroscuro, accents of cool blue lightning highlights, deep shadows</lighting>
<camera-technical>Centered composition, slight high-angle for ritual gravitas, 50mm equivalent feel, subject sharp center fading to soft edges</camera-technical>
<aspect-ratio>16:9 (1280×720 YouTube thumbnail)</aspect-ratio>
<consistency-need>Part of SonicBackdrop series (Mythology Awakens) — need --sref for series consistency</consistency-need>
<style-reference-url>[user would provide their existing SonicBackdrop anchor image URL]</style-reference-url>
<character-reference-url>none</character-reference-url>

🤖 Output

The Prompt

Surrealist Yoruba mythology composition, vertical lightning bolt striking through dark space, double-headed axe (oshe Shango) horizontal beneath, abstract drum silhouettes in lower frame, royal red Adire textile pattern as background texture, pure obsidian black void, single warm tungsten key light from upper camera-left like ritual fire, theatrical chiaroscuro, no fill light, deep shadow side, accents of cool blue electric highlights on lightning bolt, rich saturated reds, painterly texture in highlights, analog 16mm film grain, slight gate weave, centered composition, slight high-angle ritual gravitas, ceremonial atmospheric weight, sacred royal authority --ar 16:9 --style raw --stylize 350 --v 7

(With --sref [your SonicBackdrop anchor URL] when you generate.)

Parameter Choices Justified

--ar 16:9 — YouTube thumbnail standard. 1280×720 will render correctly.
--style raw — Critical. Without it, v7 adds subtle stylization that fights the painterly + analog-film direction.
--stylize 350 — Mid-high. 100 would be too literal/clean for surrealist intent. 750+ would be too painterly and lose ritual gravity. 350 is the sweet spot for cinematic-surrealist.
--v 7 — Current version. v6.1 also works for this prompt.
No --p — Personalization assumes consistent aesthetic across many images. For series consistency, --sref is the better lever.
No --no parameters — v7 handles negative descriptors better via positive language. 'Pure black void' beats '--no background details.'

Front-Load Audit

First 100 chars (heaviest weight):

'Surrealist Yoruba mythology composition, vertical lightning bolt striking through dark space, double-headed axe'

→ Style direction (surrealist) + cultural anchor (Yoruba) + composition (lightning bolt vertical) + sacred element (double-headed axe). The full Shango concept is established before MJ even reaches color/lighting.

This ordering ensures MJ doesn't drift toward generic 'powerful music album cover' aesthetics. The cultural specificity is locked in early.

Style Reference (--sref) Strategy

For SonicBackdrop series consistency:

1. First time: Generate this prompt without --sref. Pick the best of 4 variations. That becomes your series anchor.

2. Subsequent track thumbnails: Add `--sref [anchor URL] --sw 75` to maintain visual signature. --sw 75 = moderate adherence (50 = subtle, 100 = strong).

3. For dramatically different cultural-context tracks (Greek vs Yoruba vs Hindu): consider separate sub-series anchors. Don't force a Yoruba aesthetic onto a Greek deity track.

Iteration Plan

Generation 1 (expected): MJ v7 produces 4 variations. Likely failures:

Lightning bolt may be too clean/digital. Mitigate: 'rough edged hand-drawn lightning bolt with electrical chaos.'
Double-headed axe may render as fantasy weapon, not ritual object. Mitigate: 'traditional Yoruba ritual oshe Shango axe with hand-carved wooden handle.'
Adire textile pattern may render as random pattern. Mitigate: 'authentic Yoruba Adire indigo-resist pattern texture.'

Generation 2 tweaks: Apply mitigations above to weak elements.

Generation 3 refinement: --vary region on the strongest variation, focusing on the lightning bolt or central composition.

Common Failure Modes for This Subject + Style

Cultural mis-rendering: MJ has limited training on Yoruba sacred objects. Be highly specific in descriptors.
Generic 'fantasy' aesthetic: v7 sometimes drifts toward generic fantasy-art when surrealist + ancient is mentioned. Lean harder on 'analog film grain + ritual photography aesthetic, NOT digital fantasy art.'
Background bleed: 'Pure black void' sometimes generates with subtle stars or texture. If unwanted, add 'completely black background, zero visual noise, total void.'
Lightning bolt looks like Photoshop: Add 'analog photographic grain on lightning bolt, NOT digital effect.'
Composition off-center: v7 occasionally shifts subject. Add 'subject perfectly centered horizontally and vertically.'

Post-Generation Workflow

1. Generate 4 variations at default 1280×720.

2. Pick best, upscale to 2K with Topaz Gigapixel or Magnific (better for surrealist textures).

3. Add SonicBackdrop branding in DaVinci Resolve or Photoshop:

- Track title 'SHANGO AWAKENS' top-left, white text

- Brand 'SONICBACKDROP · Ritual' bottom-right, orange accent

- Optional: subtle audio-react bars overlay (matching the AudioViz visual).

4. Final export at 1280×720 PNG (YouTube thumbnail max ~2MB).

5. A/B test 2 variations on YouTube to see which CTR is higher.

📋 How to use this prompt (4 steps · under 60 seconds) Click to expand

1 Copy the prompt above. Click "Copy prompt". XML-structured prompt now on clipboard.
2 Open ChatGPT, Claude, or Gemini. One-click launch above. Recommended: Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series..
3 Paste + fill placeholders. Replace {curly braces} with your context. Specificity = quality.
4 Run + iterate. Setup: 3 min. Output: 10-15 min.

Common use cases

YouTube thumbnail design (SonicBackdrop series)
Album cover design
Character-consistency series (--cref)
Style-consistency series (--sref)
Logo + brand asset design
Architectural visualization
Photorealistic product imagery

Best AI model for this

Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series.

Pro tips

--style raw mandatory for photorealistic
--sref for series consistency
--cref for character consistency (v7's biggest practical upgrade)
--stylize: 100=literal, 250=balanced, 500-750=painterly
NO artist name shortcuts (v7 filters)
Lighting > everything else — specify
Iterate via --vary, not re-prompt

Customization tips

For product photography: front-load 'product photography' + lighting setup. Skip 'masterpiece' tags. Add 'studio softbox key + accent rim light' specifically.
For character work: --cref with character image is essential. Without it, character consistency across shots will fail.
For abstract / motion-graphic base images: stylize higher (500-750) and remove camera-technical details.
For Spotify Canvas (1080×1920 vertical 9:16, 8-second loop): single hero subject, minimal motion-implied composition.
For logos: stylize LOWER (50-150), --style raw, vector-friendly composition. Then post-process in Illustrator.
For thumbnail series consistency: --sref + same prompt skeleton + only the deity/subject changes. Locks visual signature.
For users hitting MJ subscription credit limits: storyboard 5-7 thumbnails before generation. Plan iterations to avoid waste.
Premium pack content: 50+ MJ v7 prompt templates by genre, --sref-anchor library, post-production workflow guide.

Variants

YouTube Thumbnail

16:9 thumbnail-optimized

Album Cover Design

Square 1:1 + branding-ready

Character-Consistency Series

--cref strategy

Style-Consistency Series (--sref)

Multi-track visual signature

Photorealistic Product

--style raw + studio lighting

Logo Design Base

Lower stylize + vector-friendly

Spotify Canvas Hero Image

9:16 vertical for Canvas video base

Frequently asked questions

Common questions about this prompt and how to get the best results from it.

How do I use the Midjourney v7 Pro Prompt Engineer prompt?

Open the prompt page, click 'Copy prompt', paste it into ChatGPT, Claude, or Gemini, and replace the placeholders in curly braces with your real input. The prompt is also launchable directly in each model with one click.

Which AI model works best with Midjourney v7 Pro Prompt Engineer?

Claude Sonnet 4.6 — fast iteration. Opus for complex character-consistency series.

Can I customize the Midjourney v7 Pro Prompt Engineer prompt for my use case?

Yes — every Promptolis Original is designed to be customized. Key levers: --style raw mandatory for photorealistic; --sref for series consistency

What does it cost to use this prompt?

The prompt itself is free, MIT-licensed, with no email signup required. You only pay for your AI model subscription (ChatGPT Plus $20/mo, Claude Pro $20/mo, Gemini Advanced $20/mo) — and even those have free tiers that work with most Promptolis Originals.

How is this different from PromptBase or PromptHero?

PromptBase sells prompts in a marketplace ($2-15 each). PromptHero focuses on image-generation prompts. Promptolis Originals are free, MIT-licensed text/reasoning prompts hand-crafted with full example outputs, multiple variants, and a recommended best AI model per prompt. We don't sell anything.

Explore more Originals

Hand-crafted 2026-grade prompts that actually change how you work.

← All Promptolis Originals

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Curated by Promptolis Editorial · Last reviewed 2026-05-11

Editorial process + credentials ▼

Credentials: Independent prompt-engineering team since 2026. Sister projects: SeoScore.tools and 9bench.com. Meet the team →

Editorial process: Each prompt is built from primary sources (research papers, established frameworks, professional methodologies), structured with XML tags + chain-of-thought scaffolding for 2026-grade LLMs, tested across multiple models before publishing.

🖼️ Midjourney v7 Pro Prompt Engineer