Stable Diffusion Prompt Generator
Build a tagged Stable Diffusion prompt with correct (subject:weight) emphasis syntax, quality boosters, and a properly separated negative prompt.
Stable Diffusion responds to weighted tag syntax more than natural sentences — terms in parentheses or with explicit weight values get more influence over the output than plain prose does. This tool builds a tag-based prompt with sensible weighting already applied, plus a matched negative prompt, rather than a descriptive sentence you'd need to convert yourself.
How to use it
You don't need to know tag syntax yourself — the tool converts your description into weighted tags.
Emphasized elements get higher weight values, pulling the model's attention toward them more strongly.
Both are formatted and ready to paste into your Stable Diffusion interface.
Tips for better results
- Only emphasize 1-2 elements per prompt. Weighting everything equally defeats the purpose — the model needs a clear priority to actually follow.
- Check your specific Stable Diffusion version's weight syntax. Weight syntax varies slightly between SD 1.5, SDXL, and other forks.
- Keep the negative prompt paired with this specific positive prompt. Regenerate both together if you significantly change the subject.
Example output
“(intricate clockwork robot:1.3), steampunk style, brass and copper, dramatic side lighting, detailed engraving -- negative: blurry, extra limbs, low detail, cartoon”
TL;DR
Stable Diffusion’s prompt syntax is its own dialect: comma-separated tags rather than full sentences, optional weight syntax like (subject:1.2) to emphasize specific terms, and a separate negative prompt field that does real work rather than sitting in the same text box as the main description.
Why weight syntax and negative prompts matter here specifically
Stable Diffusion treats tags earlier in the list, and tags wrapped in weight parentheses, as more influential on the final image. Writing (cyberpunk street samurai:1.2) instead of plain cyberpunk street samurai tells the model to weight that concept more heavily relative to everything else in the tag list — useful when a prompt has several competing ideas and one should clearly dominate.
The negative prompt is a separate field in nearly every Stable Diffusion interface (Automatic1111, ComfyUI, ecosystems built on either) — it isn’t a “don’t include X” tag mixed into the main prompt, it’s parsed independently to actively steer the model away from specific outputs like malformed hands, watermarks, or low-quality artifacts. Keeping it in its own output box, as this generator does, matches that real workflow instead of forcing you to manually split one merged block of text.
What each field contributes
- Subject tags are the only required input and the core of the prompt.
- Weight applies emphasis syntax automatically — no need to remember the exact parenthesis-and-colon format.
- Style and lighting tags stack onto the subject the way most Stable Diffusion prompts are actually written: comma-separated, roughly in order of importance.
- Quality boosters are common tags known to nudge output toward higher perceived detail and polish across most checkpoints.
- Negative prompt is generated as its own separate block, ready to paste into its own field in your interface of choice.
Subject: “cyberpunk street samurai, neon armor” at weight 1.2, Style: “concept art, digital painting,” Lighting: “rim lighting, volumetric fog,” Boosters: highly detailed + 8k, Negative: “blurry, deformed hands, watermark, low quality.” This produces:
Positive: “(cyberpunk street samurai, neon armor:1.2), concept art, digital painting, rim lighting, volumetric fog, highly detailed, 8k”
Negative: “blurry, deformed hands, watermark, low quality”
Who this is for
Anyone running Stable Diffusion locally or through a hosted interface (Automatic1111, ComfyUI, or similar) who wants correctly formatted weight syntax and a properly separated negative prompt without memorizing the exact punctuation each time.
FAQ
Does the weight syntax work the same across all Stable Diffusion versions?
The (tag:weight) syntax is standard across Automatic1111 and most community interfaces built on Stable Diffusion 1.5/XL, though some newer interfaces use slightly different emphasis syntax — check your specific tool’s documentation if results seem off.
Why is the negative prompt separate instead of one combined block?
Because that’s how virtually every Stable Diffusion interface is actually built — positive and negative prompts are parsed as two distinct inputs, not one merged text field.
Should I always use quality booster tags?
They help on many checkpoints but aren’t universal — some newer or specialized models are tuned to ignore them or don’t need them. Try with and without to see what your specific model responds to.
Can I use this prompt with SDXL as well as SD 1.5?
Yes, the tag-and-weight structure applies to both, though exact wording that works best can vary by checkpoint.
Does this tool store anything I type?
No, everything runs in your browser only.
