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Stable Diffusion Prompt Generator

Type your image concept in plain English and get a complete Stable Diffusion prompt: weighted tokens in (parentheses:weight) syntax, quality tags, a tailored negative prompt, and recommended settings for AUTOMATIC1111 or ComfyUI.

Live Demo
INPUT
Portrait of a woman in golden hour light
OUTPUT
Positive: (masterpiece, best quality:1.4), portrait of a woman, (golden hour sunlight:1.3), warm amber tones, soft bokeh background, shallow depth of field, studio photography, skin texture detail, catchlight in eyes

Negative: (worst quality:1.4), blurry, bad anatomy, extra fingers, deformed face, watermark, text

Why Use Stable Diffusion Prompt Generator

Weighted Tokens

The AI writes tokens with explicit (keyword:weight) values so SD's CLIP model applies exactly the right attention to each element, putting your subject first rather than treating every word equally.

Negative Prompts

Every output includes a negative prompt built for your image type. Portraits get anatomy-focused exclusions; landscapes get tiling and color-cast exclusions. No more copy-pasting generic lists that miss your actual problem.

SDXL Compatible

SD 1.5 and SDXL respond to prompts differently. The output adjusts token density and phrasing for the version you are targeting, and pairs each prompt with matching step count, CFG scale, and sampler recommendations.

Ready for Both Interfaces

Each generation delivers the prompt in AUTOMATIC1111 format with weighted parentheses and a ComfyUI-compatible version, so you can paste directly into whichever interface you use without reformatting.

Perfect For

SD Users AI Artists Game Designers Concept Artists Open Source Community Digital Painters

Powered by Advanced AI

GPT-4o Powered SD Prompt Engineering

The generation pipeline uses GPT-4o-mini trained on Stable Diffusion's token weighting conventions and CLIP model behavior. Your plain-language description is broken down by composition, lighting, style, and subject, then reassembled as a prompt that places the most important tokens early and assigns weights that match their visual priority in your image.

Sampler choice affects how weights are applied during diffusion, so the output includes sampler-specific notes for DPM++ 2M Karras, Euler a, and DDIM. Recommended CFG scale and step count are included alongside the prompt, and where your concept suits a known LoRA or textual inversion embedding, the output notes it so you can load the right checkpoint before you generate.

Frequently Asked Questions

Describe your image concept in plain language. The AI reads your description for subject, style, mood, lighting, and composition, then builds a structured SD prompt using weighted tokens, quality tags, and style keywords. The output is ready to paste into AUTOMATIC1111 or ComfyUI and includes recommended generation settings alongside it.

The generator produces prompts compatible with SD 1.4, SD 1.5, SD 2.x, and SDXL (1.0 and Turbo). SDXL handles natural language differently from SD 1.5, which prefers dense token lists. Where those differences matter, the output includes version-specific notes so you can adapt the prompt to whichever checkpoint you are running.

Token weighting uses parentheses syntax like (golden armor:1.4) to increase or decrease how strongly SD's CLIP model attends to a concept. Without weighting, every token competes equally for attention. The generator applies weights based on visual priority: your main subject and key details get higher values, secondary elements stay at or below 1.0, so the model renders what actually matters most in your image.

A negative prompt tells Stable Diffusion what to steer away from during sampling. The AI writes a negative prompt matched to your image type: if you describe a portrait, the exclusions focus on bad anatomy, extra limbs, and facial distortion; if you describe a landscape, they target tiling, oversaturation, and muddy skies. This targeted approach cuts the most common problems for your specific image category.

You can describe your image idea in any of the 30+ supported languages. The final SD prompts are always delivered in English, because Stable Diffusion models are trained primarily on English-language captions and produce better results with English tokens. Write your description in your native language and the AI handles the translation step internally before engineering the prompt.

Prompt generation typically completes in 10-20 seconds. The AI uses that time to write both the positive and negative prompts, assign token weights, pick quality tags, and format the output for both SD interfaces. A prompt that takes 15 seconds to generate often replaces 30 minutes of manual tweaking in your local SD setup.

Each generation includes a positive prompt in AUTOMATIC1111 format with (weighted:tokens), a ComfyUI-compatible version, a negative prompt, and recommended settings: steps (typically 20-30), CFG scale (7-12 depending on style), and a suggested sampler. Where your concept suits a specific LoRA or textual inversion embedding, the output notes it alongside resolution and aspect ratio guidance.

Yes. Every prompt is freshly generated from your description and varies even when inputs are similar. Run the same concept two or three times and you will get different token choices, different weight assignments, and different quality tag combinations. This makes it practical to explore prompt approaches and pick the one that performs best with your specific checkpoint.

Logged-in users can review previously generated prompts in the history panel. Your inputs are processed securely and are not shared with third parties. Copy your best prompts into a local file. A well-tuned SD prompt is worth keeping, especially once you have confirmed it works with a particular checkpoint.

Be specific about the visual details that matter: subject, artistic medium (oil painting, studio photography, cel-shading), lighting direction, color palette, and mood. Mentioning your target model (SD 1.5 or SDXL) helps the AI choose the right prompting style. The more concrete your description, the more precisely the weights and token order can be set. Run a few variations of the same scene and combine the strongest tokens from each into your final prompt.

Free Stable Diffusion Prompt Generator: AI Image Prompts vs Other Methods

Feature Luxoret AI Manual / Traditional Other Tools
Speed Results in seconds Hours of manual work Minutes per task
Skill Required None — fully automated Professional skills needed Some learning curve
Quality AI-powered output Depends on expertise Template-based
Accessibility Browser-based, any device Specialized tools needed App required
Revisions Unlimited instant retries Start over each time Limited by plan