Stable Diffusion Prompt
Sobre Stable Diffusion Prompt
Our online Stable Diffusion Prompt Generator builds a weighted-tag prompt plus a separate negative prompt (things to avoid), the format understood by common interfaces like Automatic1111 and ComfyUI.
This generates the text prompt for you to paste into your Stable Diffusion tool of choice; it doesn't generate the image directly.
How to Use the Stable Diffusion Prompt Generator
- Enter your subject and desired style as comma-separated concepts, the way Stable Diffusion tag-based prompting expects rather than full sentences.
- Mark which elements matter most so the tool can apply tag weighting (like emphasizing "detailed face" over a background element) in the generated syntax.
- Review the auto-built negative prompt section, which lists common quality issues to exclude - things like extra limbs, blurry detail, or watermarks.
- Generate the final prompt pair - the positive weighted-tag prompt and the negative prompt - as two separate text blocks.
- Paste the positive prompt into your prompt field and the negative prompt into the negative prompt field in Automatic1111, ComfyUI, or whichever Stable Diffusion interface you run.
Local Stable Diffusion users running their own Automatic1111 or ComfyUI setup are the core audience, since tag weighting and negative prompts are specific conventions those interfaces expect but that don't transfer over from more natural-language tools like DALL-E or FLUX. Hobbyists experimenting with custom checkpoints and LoRA models also rely on the negative prompt section specifically, since excluding common artifacts up front tends to save several regeneration cycles compared to fixing a flawed image after the fact.
Related Tools
Frequently asked questions
What is a "negative prompt"?
A separate list of things you don't want in the image (blurry, extra limbs, watermarks, etc.) - most Stable Diffusion interfaces (Automatic1111, ComfyUI, various web UIs) have a dedicated negative prompt field separate from the main prompt.
What does the weight number (e.g. subject:1.2) mean?
Wrapping a term in parentheses with a weight, like (subject:1.2), tells Stable Diffusion to pay more attention to that term relative to the rest of the prompt - values above 1.0 increase emphasis, below 1.0 decrease it.
Does this work with all Stable Diffusion versions?
The weighted-tag and negative-prompt syntax this generates is understood by the most common interfaces (Automatic1111, ComfyUI, and most SD 1.5/SDXL-based tools) - some newer or specialized UIs may use slightly different syntax.
