Image to Midjourney Prompt Generator
Drop an image and get a clean Midjourney V7 prompt with the right --ar, --style, and --stylize values already baked in. No prompt engineering, no trial-and-error — works with V7 and V6.1, ready for Discord or alpha.midjourney.com.
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Select AI Model
Click the button to generate AI prompts for all 5 models
Ready to generate prompts?
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Default: Quick Draft in seconds. Refine later for more detail.
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Your Generated Prompts Will Appear Below:
General Prompt
Base prompt extracted from your image.
Quick Draft
This is your fast first draft. Use it now, or refine it for more detail.
Your General Prompt prompt will appear here... This prompt works with any AI image model and provides a versatile description.
This is your fast first draft. Use it now, or refine it for more detail.
- Supported version
- V7 default · V6.1 legacy
- Avg extraction time
- ~5 seconds
- Free daily runs
- 2 (no signup)
- Parameters handled
- --ar, --style, --stylize, --chaos
Anatomy of a good Midjourney prompt
Midjourney V7 (default since June 2025) responds best to a tight natural-language sentence followed by explicit parameters. Parameters ALWAYS go at the end, after a double-hyphen `--`. The tool below outputs prompts in exactly this structure.
Subject phrase
close-up portrait of a cybernetic woman with translucent skinV7 weighs the first 5–8 tokens heavily; open with the single most important visual noun.
Medium / style tag
cinematic 35mm photography, shot on Arri AlexaAnchors the aesthetic. Camera/film names unlock specific texture profiles V7 recognizes.
Lighting + mood
neon reflections on wet skin, cold blue rim lightDescribe how light *interacts* with the subject — don't just say 'good lighting'.
--ar aspect ratio
--ar 16:9Default is 1:1. V7 supports up to 4:1 but ratios over 2:1 are experimental.
--stylize (--s)
--stylize 1500–1000 range, default 100. Lower = closer to your prompt, higher = more Midjourney 'house style'.
--style raw (optional)
--style rawFor photorealistic output without Midjourney's default artistic bias.
Real Midjourney prompts from real images

Cyberpunk portrait → V7 prompt
close up portrait of a futuristic female cyborg with translucent skin revealing glowing neon blue circuitry, detailed mechanical parts, rain on her face, blurred cyberpunk city street with pink and blue lights in background, cinematic lighting, 35mm, shallow depth of field --ar 16:9 --style raw --stylize 150 --v 7

Product shot → V7 prompt
minimalist product photograph of a matte black ceramic coffee mug on concrete surface, overhead soft daylight from a north-facing window, single subject, clean negative space, advertising photography --ar 4:5 --stylize 100 --style raw --v 7

Cinematic scene → V7 prompt
wide cinematic shot of a lone astronaut walking across a red dune, golden hour backlight casting long shadows, dust particles in the air, anamorphic lens flare, IMAX composition --ar 21:9 --stylize 250 --v 7
Tips most beginners miss
Keep the subject in the first 8 words
V7 token-weighting favors early tokens. Lead with the noun, then describe. Burying the subject after 20 words of adjectives dilutes attention.
Use --style raw for photoreal
Without --style raw, V7 applies a subtle artistic finish that can read as 'AI-looking'. Raw mode produces more candid, less processed output.
--stylize 100–250 is the sweet spot
Below 50 you lose aesthetic cohesion; above 400 Midjourney takes over your prompt. Tool outputs tuned defaults; tweak only if needed.
Omni-Reference (--oref) for character consistency
For the same subject across scenes, use --oref <image-url> --ow 100. Higher --ow (up to 1000) preserves face/clothing more strictly.
Avoid old V5/V6 tricks in V7
Negative prompts via --no still work but are less needed in V7. Weight syntax like `subject::2 background::1` is also deprecated — V7 handles balance natively.
Midjourney vs other image models
| Capability | This model | Flux | DALL·E 3 |
|---|---|---|---|
| Text in image | ⚠️ Improving in V7 | ✅ Best in class | ✅ Good |
| Photoreal skin | ✅ V7 excellent | ✅ Excellent | ⚠️ Plastic-looking |
| Style control via --sref | ✅ Unique strength | ❌ No native --sref | ⚠️ IP-Adapter hack |
| Runs on your own GPU | ❌ Cloud only | ✅ Open weights | ✅ Open weights |
Frequently asked questions
Does this work with Midjourney V7 and V8.1 alpha?
Yes for V7 (the current default since June 2025). V8.1 alpha launched April 14, 2026 on alpha.midjourney.com — our output is compatible; just swap --v 7 for --v 8.1 if you're testing the alpha. Prompt structure is identical across both.
Why does the tool include --ar automatically?
Because your input image's aspect ratio is the cheapest piece of information to extract and the most common parameter people forget. We match your source image ratio to the nearest Midjourney-supported --ar value.
Can I use the prompt directly on Discord?
Yes — paste the full output after `/imagine` in the #newbies channel or any server with the Midjourney bot. The tool outputs Discord-ready syntax. For alpha.midjourney.com just paste into the prompt box, no slash prefix.
What's the difference between --stylize and --chaos?
--stylize controls how much Midjourney's aesthetic filter is applied (0–1000). --chaos controls variation between the 4 grid images (0–100). High --chaos gives you wildly different interpretations per tile; low --chaos keeps them close together.
Does --style raw work with --oref and --sref?
Yes, all V7 parameters compose. A typical power-user prompt stacks: --ar 16:9 --style raw --sref <style-image> --oref <subject-image> --ow 200 --stylize 100. Our tool only outputs --ar + --stylize + optional --style raw by default — you add --sref/--oref manually with your own reference URLs.
Is 2 free runs per day enough to test the tool?
Yes, for deciding if the output matches what you'd write by hand. Run 2 images through this page, compare with your usual prompts, and if you want more, sign in for 5 bonus credits (no payment required for signup).