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Stable Diffusion XL Prompt Generator

Build perfect Stable Diffusion XL prompts from a single line. Weighted keywords + classic A1111 syntax, LoRA-friendly. Free - 5 prompts per day, no sign-up.

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Why use this tool

Instant results

Optimized prompts in under 3 seconds.

Private by default

No account, no logs, no image storage.

Tuned per model

Hand-crafted system prompts for each AI model.

Stable Diffusion XL Prompt Generator

Stable Diffusion XL is the go-to base model for the A1111, ComfyUI, and InvokeAI communities - and its prompting syntax reflects that heritage. SDXL thrives on dense, comma-separated keyword lists, ideally 10–18 tags covering medium, art style, camera/lens, lighting, composition, color palette, and mood. Its killer feature is inline weight syntax: (word:1.2) emphasizes a token, (word:0.7) de-emphasizes it. Don't overuse it - one or two weighted tags per prompt is enough, and "masterpiece, best quality" is a 1.5-era relic that no longer helps. This generator produces SDXL-native prompts that slot directly into your favorite front-end: a short subject phrase, then a clean comma-separated tag list, with at most one weighted emphasis applied to the defining attribute. Running a LoRA? Keep the prompt lean so the LoRA activation tokens dominate. Need the inverse? Our SDXL image-to-prompt converter reads any reference image and emits the same keyword-list format.

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Frequently asked questions

What makes a great Stable Diffusion XL prompt?+
SDXL thrives on dense, comma-separated keyword lists with optional (word:1.2) weight syntax. It tolerates longer prompts than SD3 and rewards specific camera, lighting, rendering-engine, and art-style tags. The generator outputs 10–18 tags with at most one or two weighted items - the same style the A1111 and ComfyUI communities use.
What is an AI prompt generator?+
An AI prompt generator rewrites a short idea into a longer, model-specific instruction that steers an image model toward better, more predictable results. Different models prefer different prompt styles - Flux likes long natural language, Stable Diffusion likes a hybrid of description plus tags, Midjourney likes terse evocative phrasing with parameter flags, and Nano Banana 2 likes plain logical instructions.
Is the AI prompt generator free?+
Yes. Anyone can generate up to 5 prompts per day at no cost, no sign-up required. If you need more, the EdMyPic Free plan includes 5 photo edits per day plus unlimited prompt generation when signed in.
Which AI image models does this support?+
Eleven major models out of the box: Flux 1.1 Pro, Midjourney v6, DALL·E 3, Stable Diffusion 3, Stable Diffusion XL, Ideogram 2, Leonardo AI, Google Imagen 3, Google Nano Banana 2, Adobe Firefly, and Recraft V3. Each one ships with a hand-tuned system prompt - pick the model you'll be generating with so the output matches its conventions exactly.
How do I get the best results from a prompt generator?+
Start with a clear subject (who or what), a verb (what they're doing), and one stylistic anchor (e.g. golden hour, cinematic, watercolor). The generator handles the rest - composition, lens, lighting, and mood - based on the model you selected.
Can I use the generated prompt commercially?+
Yes. The prompt itself is just text - you own anything you generate from it. Commercial usage of the resulting image depends on the image model you're using; Flux, SD3, and Midjourney all support commercial output on their paid tiers.
Why does the same idea give different prompts for different models?+
Each model was trained on different data with different guidance objectives. A description that nails a photoreal portrait in Flux 1.1 Pro will under-perform in Midjourney unless you switch to Midjourney's more compact, flag-based syntax. The model selector handles that translation automatically.
Do I need to know prompt engineering to use this?+
No. The whole point of the tool is that you don't. Type a rough idea like "a barista smiling at golden hour" and you'll get back a fully-formed prompt that incorporates the photography, composition, and mood cues the model needs.