Fix bad prompts for Midjourney, SDXL & Flux — instantly
Turn any rough idea into a model-ready prompt for Midjourney, Stable Diffusion, Flux, Gemini, Image FX, and more — in seconds.
Paste a prompt → pick a model → get a working version back.
Midjourney · Stable Diffusion · SDXL · Flux · Gemini · Image FX · Nano Banana
Free · no signup · works instantly across 7 AI models
Enhance Your Prompt NowPaste your prompt below and see the upgrade instantly ↓
Real Examples You Can Copy
Same Starting Point, Different Outputs Per Model
INPUT
"woman in red coat, street"
ENHANCED
"Elegant woman in a tailored crimson wool coat, rain-slicked Paris street,
golden evening light, shallow depth of field,
editorial photography, Vogue aesthetic --ar 2:3 --v 6"
INPUT
"cozy reading room"
ENHANCED
POSITIVE "warm minimalist reading nook, built-in oak shelves,
afternoon light, interior photography, 8k"
NEGATIVE "blurry, low quality, cartoon, distorted"
INPUT
"abandoned space station"
ENHANCED
"Derelict orbital station drifting above a gas giant,
hull scarred, lights flickering amber through cracked viewports,
cinematic wide angle, vast cosmic solitude"
How to Use This Tool
From rough idea to ready-to-use prompt in 3 steps
What You Can Create
- Fix vague prompts that generate random or unexpected results
- Convert basic ideas into high-quality, detailed outputs automatically
- Adapt prompts to different AI models without manual reformatting
- Add correct syntax, parameters, and quality tokens per model
- Diagnose why a prompt keeps producing poor results
Why model-specific enhancement works
One prompt structure does not fit all models
Output structures are calibrated against Midjourney v6, Stable Diffusion XL, Flux.1 Dev, and Google Gemini Imagen — using each model's current parameter conventions and quality vocabulary, not documentation from 2022.
Built using real prompt patterns from Midjourney, SDXL, Flux and Gemini documentation and production workflows.
For when you have a rough prompt idea and want a polished version that adds the lighting, composition, and style detail without losing your original intent. The output preserves your subject and adjusts the surrounding context to fit the model you specify.
FAQ
Frequently asked questions
An AI prompt enhancer parses your rough input and rebuilds it using the structural conventions of your chosen model. For Midjourney it adds comma-separated visual keywords, a lighting reference, art style, mood, camera spec, and correct parameters (--v 6 --ar 16:9 --style raw). For Stable Diffusion it adds quality anchors to a positive prompt and writes a matching negative prompt. For Flux it rewrites everything as cinematic prose. The output is the same idea — structured to match what the model actually responds to. Try the prompt analyzer to score the result before generating.
Midjourney v6 responds primarily to the first 60 tokens of your prompt. If those tokens are vague — "a woman in a nice setting at night" — the model fills gaps with its training defaults. The fix is specificity in the right positions: subject, style reference, lighting quality, and composition before any atmosphere or mood. The enhancer restructures your prompt with high-signal tokens at the front and correct parameters (--ar, --style raw, --no if needed) at the end. For image-based prompts, see the Midjourney prompt generator.
Flux.1 Dev was trained on natural-language image captions, not keyword lists. Feeding it Midjourney-style comma-separated tokens produces mediocre results because the model is parsing them as a sentence fragment. Flux responds best to complete cinematic sentences: "A lone lighthouse stands on a rocky headland at dawn, pale orange light breaking through sea fog, long exposure, 35mm film grain." No parameters, no keyword stacks. The enhancer switches to prose mode automatically when Flux is selected. To convert an existing Midjourney prompt to Flux format, use the prompt rewriter.
Yes. Select Stable Diffusion and the output includes two blocks: a positive prompt structured with SDXL quality anchors (masterpiece, best quality, highly detailed, 8k, sharp focus) and a negative prompt block covering the most common artifact tokens (blurry, low quality, bad anatomy, extra limbs, watermark, text, cropped, deformed). The format pastes directly into AUTOMATIC1111, ComfyUI, and InvokeAI. If you need to generate only a negative prompt for an existing image, use the negative prompt generator.
Yes — switch to Image + Prompt mode, upload any reference image (JPG, PNG, WebP, GIF up to 10MB), and select your target model. The AI analyzes the visual content — subject, composition, lighting, color palette, mood — and generates an optimized prompt from that analysis. You can also add optional text to steer the output toward a specific variation or creative direction. This is similar to the Image to Prompt generator but targets a single model for maximum output quality rather than generating for all models simultaneously.
ChatGPT improves prompts based on general writing quality — it makes them longer, more descriptive, and better English. That helps for text generation. For AI image models it often misses what actually matters: model-specific syntax, parameter placement, quality token positioning, and the difference between keyword structure (Midjourney) and prose structure (Flux). This tool is trained specifically on image generation prompt patterns, not general writing. Use the prompt expander if you want length without model-specific reformatting.
Yes — no account, no credits, no watermarks, no usage cap. The full tool is free including text mode, image mode, and all 7 model outputs. The same applies to the rest of the prompt tools suite: analyzer, rewriter, expander, and shortener — all free, no signup.
Seven models: Midjourney v6 (keyword + parameter format), Stable Diffusion SDXL (positive + negative prompt blocks), Flux.1 Dev (natural-language prose), Google Gemini Imagen, Google Image FX, Nano Banana, and a General mode that produces a model-agnostic enhanced prompt. Each output uses that model's current best-practice structure. For the most detailed per-model prompt generation from a reference image, see the Image to Prompt generator.
Related tools
Build your full prompt workflow
Use these tools together for best results
How prompt enhancement differs from related tools
This site has four prompt-improvement tools and they do different things. Enhancement specifically means “take a working prompt and make it better for a specific target model” — neither adding new content (expansion), restructuring for a different format (rewriting), nor diagnosing weak spots (analysis). Below is a short editorial primer on what enhancement actually does, when it’s the right tool, and what to do with the output.
Enhancement is upgrade in place
The enhancer takes a prompt you already have and re-emits it with more specific language, better-tuned parameters for the target model, and the kind of vocabulary that model rewards. The subject stays the same. The structure stays roughly the same. What changes is the precision of the language.
Concretely: a coffee shop at sunrise becomes a quiet coffee shop interior at golden hour, warm side-lighting through east-facing windows, shallow depth of field, photographed on 35mm. Same intent, more specification. The enhancer reads what you wrote, identifies the layers you under-specified (lighting, composition, technical), and adds the language the target model responds to in those layers.
When to use enhancement vs the related tools
Use the enhancer when: you have a working prompt that produces decent output, and you want to tighten it for a specific model. The output is too generic, the lighting is flat, the style is undefined — but the basic structure is right.
Use the expander when: your prompt is too short to give the model enough to work with — fewer than 10-15 tokens, no lighting or composition language. Expansion adds layers; enhancement upgrades existing ones.
Use the rewriter when: your prompt is structurally wrong for the target model. Pasting a Midjourney prompt into Flux, or an SD prompt into Gemini — the format itself is mismatched, not just the precision.
Use the analyzer when: you don’t know what’s wrong with the prompt. The analyzer tells you which dimension is weakest; the enhancer is what you reach for after that diagnosis.
Three edits most enhanced prompts need
1. Drop one redundancy. The enhancer sometimes adds language that overlaps with what was already there — “cinematic, film-style, photographed” doubles down on the same idea. Pick the strongest one.
2. Verify the model-specific syntax matches your workflow. If you enhanced for Midjourney and the parameters don’t match your version (--v 6.1 vs --v 7), update them. If you enhanced for Stable Diffusion and the weight ranges feel too aggressive ((red:1.4)), back them off to 1.2-1.3.
3. Check that the subject is still front-and-center. Enhancement adds detail around the subject; sometimes the added detail buries it. The first 10-15 tokens should still be your core subject. If they’re now lighting and style descriptors, reorder.
For prompts produced from images rather than text, see the image-to-prompt generator hub. For prompts in specific model formats, see the model-specific generators (Midjourney, Stable Diffusion, Flux).