Midjourney Prompts: 130+ Templates for Stunning AI Images
Master Midjourney with 130+ copy-paste prompts, advanced parameters, style references, and techniques for creating logos, characters, products, landscapes, and more.
What Is Midjourney and Why Prompts Matter
Midjourney is a powerful AI image generator that turns short text prompts into detailed, stylized images for art, branding, products, and social media content. Its latest versions support advanced controls like aspect ratios, style references, and parameters that give creators very fine control over composition and style.
Midjourney works inside Discord: you type a text prompt (and optional parameters), and it returns a grid of images you can upscale or vary. Because the model is highly sensitive to wording, small prompt changes can massively affect color, lighting, realism, and mood. Learning how to structure prompts systematically is the difference between "random cool images" and predictable, brand-ready outputs.
How Midjourney Prompts Work (Core Formula)
Most high-quality Midjourney prompts follow a repeatable structure rather than random words. A simple and reliable formula is:
Subject + Key Details + Style + Setting + Lighting + Camera/Composition + Parameters
Essential Midjourney Parameters (Quick Reference)
Parameters are added at the end of your prompt and control how Midjourney renders the image:
- --ar (aspect ratio): Defines image dimensions, such as --ar 1:1 for square, 16:9 for YouTube thumbnails, or 9:16 for vertical Reels/TikTok.
- --stylize or --s: Controls how strongly Midjourney's default aesthetic is applied; high values give more artistic, stylized results.
- --chaos: Adds randomness; higher chaos generates more unexpected and varied images.
- --quality or --q: Adjusts rendering detail and time; 1 is standard, lower values render faster at lower detail.
- --seed: Sets a starting noise seed so you can reproduce or slightly vary previous results consistently.
- --no: Negative prompt to exclude elements, like --no text, watermark.
- --niji / anime models: Switches to anime-optimized models if you need a more stylized Japanese-inspired look.
Midjourney Logo Prompts
Logos benefit from simplicity, clear shapes, and a strong design direction so they still work at small sizes. Include niche, tone, and audience so Midjourney suggests concepts that feel right for your market.
Example ideas:
- Minimalist line-art logo for a London fintech startup targeting Gen Z investors, clean blue and white palette, flat vector style, modern icon, white background, --ar 1:1 --no text.
- Retro badge logo for an Australian surf café, warm vintage colors, hand-drawn waves and sun, textured but simple, high contrast, --ar 1:1 --no text.
- Geometric logo for a German SaaS analytics platform, abstract shapes forming a graph, cool blues and purples, tech style, negative space, --ar 1:1 --no text.
- Elegant monogram logo for a Paris fashion boutique, gold on black, luxury, minimal flourishes, centered layout, vector, --ar 1:1 --no text.
Midjourney Character & Portrait Prompts
Character prompts are perfect for story IPs, mascot concepts, VTubers, and social media personas. You get better results when you specify face shape, outfit, personality, and camera style.
Example ideas:
- Confident female tech founder in her early 30s from New York, smart casual outfit, subtle makeup, standing in a modern office, realistic portrait photography, soft window light, shallow depth of field, --ar 3:4.
- Anime-style esports character from Berlin, neon streetwear, bold purple and cyan palette, dynamic pose, cyberpunk city background, glowing signs, --ar 9:16 --niji.
- Cozy bookish character from London, oversized sweater, round glasses, warm café interior, painterly illustration style, soft vignette, --ar 3:4.
- Fantasy knight from medieval France, detailed armor with fleur-de-lis accents, stormy sky, dramatic rim lighting, cinematic concept art style, --ar 16:9.
Advanced Midjourney Prompt Techniques
Once the basics feel comfortable, there are several advanced techniques that give you more control over style and consistency:
- Style references (--sref): You can attach one or more style reference images so Midjourney mimics their aesthetic.
- Image weight (--iw): When combining text prompts with reference images, image weight controls how strongly Midjourney follows the image versus the text description.
- Negative prompts and exclusions: Using --no carefully helps avoid clutter or unwanted artifacts, especially in backgrounds and product shots.
- Chaos and weirdness: Adjusting --chaos and experimental options can push images toward unusual or experimental looks for concept exploration.
Related Resources
Rewritten for Midjourney V8.1
A Midjourney prompting workflow for repeatable images, not lucky generations
V8.1 is the current default. Better results come from a clear visual brief, controlled variation and deliberate selection more than from stacking fashionable adjectives.
Midjourney's official version page says V8.1 became the default on June 10, 2026. It is faster and follows small prompt details more closely than earlier versions, so a guide centred on V7 or Discord-only habits is already stale.
I write the first prompt like a visual brief: subject, action, environment, composition, lighting, material or medium and intended use. I leave room for Midjourney to interpret, then change one variable at a time so I can tell why the result improved.
Lead with what must be visible
Put the subject, relationship and action early. A long style preamble can bury the actual scene and make it difficult to diagnose missing details.
Describe composition spatially
State framing, viewpoint, foreground, background and negative space. 'Premium campaign image' is taste; 'single bottle lower right with empty upper-left area for copy' is direction.
Use references for the right job
A style reference communicates visual treatment; an image prompt can influence content and composition. Check current version compatibility before relying on a reference feature.
Treat parameters as controls
Aspect ratio, stylization, raw mode, quality and exclusions adjust a defined brief. They cannot rescue a prompt that never decided what the image should communicate.
Separate exploration from consistency
Early rounds should vary concept and composition. Once a direction is approved, reduce variation, preserve references and document the prompt and settings.
Budget GPU time around selection
The official plans differ in Fast time, Relax access and privacy. Choose a plan from real monthly iteration and confidentiality needs, not the number of final files.
My seven-pass Midjourney process
- 1
Write the visual decision
Do: State audience, use, message and one thing the image must make clear.
Example: A US home-services ad should communicate trustworthy same-day help, not merely show a cinematic technician.
Checkpoint: The brief can reject an attractive wrong image.
- 2
Draft the literal scene
Do: Describe subject, action, setting and composition without style decoration.
Example: Technician kneeling beside an outdoor AC unit, homeowner in background, medium-wide eye-level view.
Checkpoint: The scene is unambiguous.
- 3
Add visual treatment
Do: Choose lighting, palette, material, camera or illustration language that supports the use.
Example: Natural midday light and documentary commercial photography may fit trust better than neon cinematic lighting.
Checkpoint: Style serves the message.
- 4
Set output constraints
Do: Add the aspect ratio and only the parameters you understand.
Example: Use vertical for a story placement and reserve negative space for copy outside Midjourney.
Checkpoint: The output fits its destination.
- 5
Explore one axis
Do: Vary composition, treatment or subject detail separately.
Example: Compare eye-level, overhead and close detail before changing the whole aesthetic.
Checkpoint: You can explain the preferred direction.
- 6
Refine and document
Do: Record prompt, version, references, parameters and selection reason.
Example: Keep a small brief beside approved campaign images.
Checkpoint: A teammate can reproduce the process.
Prompt advice that creates random-looking work
Adjective soup
Cinematic, stunning, epic and award-winning do not substitute for subject, composition and light.
Changing everything
If subject, style, ratio and reference all change, the next result teaches nothing.
Designing a final logo
Use image generation for concept exploration; rebuild approved marks as controlled vectors and check distinctiveness.
Relying on generated typography
Even improved text rendering needs exact proofreading and often professional layout outside the model.
Ignoring privacy settings
Teams with confidential work should review plan features and current terms; Stealth Mode is not included on every plan.
Using outdated version advice
Parameters and reference compatibility change. Check the official V8.1 table before reusing an old recipe.
Prompt templates with a real production purpose
Product campaign
[PRODUCT] on [SURFACE], [KEY MATERIAL DETAILS], [COMPOSITION AND NEGATIVE SPACE], [LIGHT DIRECTION AND QUALITY], [CAMPAIGN MOOD], realistic commercial product photography, [ASPECT RATIO], no logos, no extra packaging
Replace every bracket from an approved brief.
Editorial portrait
Portrait of [SUBJECT AND ACTION] in [REAL SETTING], [WARDROBE DETAILS], [FRAMING AND VIEWPOINT], [LIGHT], [COLOUR TREATMENT], documentary editorial photography, natural expression, [ASPECT RATIO]
Avoid inventing a real person's likeness without permission.
Illustration system
Illustration of [SCENE], simplified [SHAPE LANGUAGE], limited palette [COLOURS], [LINE OR TEXTURE TREATMENT], clear foreground and background hierarchy, designed for [USE], consistent visual system, [ASPECT RATIO]
Use references to maintain an approved style.
Diagnostic rewrite
My image missed these requirements: [LIST]. Rewrite the prompt by clarifying only subject, spatial composition and required details. Remove redundant style adjectives and explain each change before giving the revised prompt.
Useful between rounds.
Reader workbook
Working notes for a midjourney prompting workflow for repeatable images, not lucky generations
Reading the guide is only the first pass. The notes below turn its recommendations into evidence you can inspect, discuss with another person, and revise. Complete them with real material from your situation. Do not let an AI assistant fill gaps with plausible facts. When a policy, price, specification, source, system state, or personal experience matters, open the authoritative record and put the verified detail in your working document.
Working note 1: Lead with what must be visible
Begin with a concrete example from the last thirty days. Record what happened, what information was available at the time, who made the decision, and what the result was. Then apply the principle above to that example. The useful output is not a general agreement that the principle sounds sensible; it is one changed action, one piece of evidence you will collect, and one condition that would make you choose a different approach. Write those three items in language another person could audit.
Evidence to leave behind
A dated note that connects “Lead with what must be visible” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
Working note 2: Describe composition spatially
Test this principle against a difficult case rather than the easiest one. List the constraint most likely to be ignored, the person who carries the downside if the advice is wrong, and the source that can settle a factual disagreement. Next, describe a small trial that is reversible and produces a visible result. Decide in advance what would count as improvement, no change, or harm. This turns a broad recommendation into a decision with limits instead of another optimistic intention.
Evidence to leave behind
A dated note that connects “Describe composition spatially” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
Working note 3: Use references for the right job
Explain this idea to a colleague, teacher, adviser, reviewer, or teammate without using jargon. Ask them where the explanation assumes knowledge that has not been demonstrated. Add the missing source, example, calculation, test, or observation. Finally, write the strongest reasonable objection and a response that acknowledges the trade-off. If the response depends on a vendor claim or an AI answer, mark it unverified until it has been checked against a primary source or real result.
Evidence to leave behind
A dated note that connects “Use references for the right job” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
Working note 4: Treat parameters as controls
Begin with a concrete example from the last thirty days. Record what happened, what information was available at the time, who made the decision, and what the result was. Then apply the principle above to that example. The useful output is not a general agreement that the principle sounds sensible; it is one changed action, one piece of evidence you will collect, and one condition that would make you choose a different approach. Write those three items in language another person could audit.
Evidence to leave behind
A dated note that connects “Treat parameters as controls” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
Working note 5: Separate exploration from consistency
Test this principle against a difficult case rather than the easiest one. List the constraint most likely to be ignored, the person who carries the downside if the advice is wrong, and the source that can settle a factual disagreement. Next, describe a small trial that is reversible and produces a visible result. Decide in advance what would count as improvement, no change, or harm. This turns a broad recommendation into a decision with limits instead of another optimistic intention.
Evidence to leave behind
A dated note that connects “Separate exploration from consistency” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
Working note 6: Budget GPU time around selection
Explain this idea to a colleague, teacher, adviser, reviewer, or teammate without using jargon. Ask them where the explanation assumes knowledge that has not been demonstrated. Add the missing source, example, calculation, test, or observation. Finally, write the strongest reasonable objection and a response that acknowledges the trade-off. If the response depends on a vendor claim or an AI answer, mark it unverified until it has been checked against a primary source or real result.
Evidence to leave behind
A dated note that connects “Budget GPU time around selection” to one actual decision, names the evidence used, records uncertainty, and identifies the next person or check required before the decision becomes final.
A review record for my seven-pass midjourney process
Keep one row for every pass through the workflow. The record should make progress and failure equally easy to see. A polished output with no trace of its sources, assumptions, checks, or human decisions is difficult to improve and dangerous to trust. The following review questions are deliberately tied to the steps above.
After step 1
Review “Write the visual decision”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: The brief can reject an attractive wrong image. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
After step 2
Review “Draft the literal scene”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: The scene is unambiguous. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
After step 3
Review “Add visual treatment”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: Style serves the message. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
After step 4
Review “Set output constraints”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: The output fits its destination. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
After step 5
Review “Explore one axis”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: You can explain the preferred direction. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
After step 6
Review “Refine and document”
Record what you actually did, not what the plan said you would do. Attach the relevant output or source. Use this checkpoint as the acceptance test: A teammate can reproduce the process. If it is not met, note whether the cause was missing information, weak skill, unclear ownership, insufficient time, a faulty assumption, or an external constraint. Choose one correction and repeat the smallest affected step rather than restarting the entire workflow.
A red-team pass before you rely on the result
Use the failure modes from this guide as a final challenge, not as a warning box you read and forget. Assign each one to a reviewer, or take them one at a time yourself. The reviewer should point to evidence in the work and should be allowed to say that the evidence is insufficient.
Could “Adjective soup” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
Could “Changing everything” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
Could “Designing a final logo” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
Could “Relying on generated typography” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
Could “Ignoring privacy settings” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
Could “Using outdated version advice” be happening here?
Find the strongest sign that it is, then the strongest sign that it is not. Do not accept confidence, fluent wording, a high score, or a successful first attempt as proof. Write the additional check that would change the decision and name who owns that check.
How to use the prompts without outsourcing judgment
Before running any prompt, replace every placeholder, remove private information that is not required, and state which supplied sources the assistant may use. Save the initial input, output, corrections, and final human decision. This creates a record of how the tool contributed and makes it easier to spot when a later answer contradicts an earlier assumption.
- Product campaign: define the expected output before sending it, verify every material claim afterwards, and use this practical boundary: Replace every bracket from an approved brief.
- Editorial portrait: define the expected output before sending it, verify every material claim afterwards, and use this practical boundary: Avoid inventing a real person's likeness without permission.
- Illustration system: define the expected output before sending it, verify every material claim afterwards, and use this practical boundary: Use references to maintain an approved style.
- Diagnostic rewrite: define the expected output before sending it, verify every material claim afterwards, and use this practical boundary: Useful between rounds.
End by writing a short decision note in your own words: what you learned, what remains uncertain, which source or test carries the most weight, what you decided, and when the decision should be reviewed. That note is often more valuable than the original AI output because it captures accountable judgment rather than a temporary answer.
The best prompt is part of a visual system
A prompt is successful when it produces an image that solves the brief and can be iterated deliberately. Save the decisions around it, not only the final string.
For current plan prices, GPU allowances, V8.1 features and compatibility, use Midjourney's documentation as the authority. This guide should teach the thinking that remains useful when the model changes again.
Primary sources checked