Generated Result
Your result appears here before the form settings.
| Model | Stable Diffusion | Style | Photography |
|---|---|---|---|
| Strength | Balanced | Categories | Quality Problems, Anatomy Errors, Composition Issues, Text and Branding |
Example Prompt Combinations
| Use case | Positive prompt | Useful negative focus |
|---|---|---|
| Portrait | Studio portrait with soft window light | Hands, face symmetry, skin artifacts, cropped head |
| Product | Clean product photo on white background | Text, logos, clutter, reflections, warped geometry |
| Anime | Anime hero in a glowing city | Extra limbs, malformed hands, inconsistent eyes, text |
| Landscape | Mountain lake at sunrise | People, buildings, haze, oversaturation, artificial objects |
| Architecture | Modern villa with geometric lines | Warped walls, bent windows, people, clutter, text |
How Negative Prompts Improve Image Generation
Negative prompts tell image models what they should avoid. They reduce common defects without changing the main creative direction. Good exclusions stay relevant to the image being requested. Portraits often need controls for hands faces and cropping. Product images benefit from clean backgrounds and fewer unwanted labels. Architecture scenes often need stronger geometry and perspective exclusions. Start with likely problems before adding broad negative keywords. This keeps final prompts focused and easier to test.
Choose Categories With Purpose
Choose categories matching the subject and selected visual style. Quality filters reduce blur noise pixelation and weak details. Anatomy filters target malformed hands extra limbs and facial defects. Composition controls address awkward crops duplicates and poor framing. Lighting filters can limit blown highlights or flat shadows. Branding filters remove accidental text logos watermarks and interface elements. Background controls reduce clutter crowds and distracting scene elements. Safety exclusions can block explicit violent or disturbing visual content.
Match the Output to Your Workflow
Different image systems interpret negative instructions in different ways. Comma separated keywords work well in many dedicated fields. Natural language can suit tools that understand conversational instructions. Weighted syntax adds emphasis when a workflow supports prompt weighting. Model specific formatting adjusts the output for common generation styles. Keep weights moderate unless testing proves stronger values improve results. Very aggressive weighting can reduce detail or distort useful features.
Build Cleaner Outputs
Use duplicate removal to keep repeated concepts from wasting space. Cleanup also improves spacing punctuation and consistency before copying. Length controls help create short balanced or detailed outputs. Preset buttons speed common work like portraits products and landscapes. Export useful settings when a prompt becomes reliable and reusable. CSV keeps fields structured for later sorting or cataloging. PDF creates a compact report for printing or sharing. Review each result after generation and remove ineffective exclusions. Small controlled changes usually produce clearer prompt improvements gradually.
Frequently Asked Questions
What is a negative prompt?
It is a list or sentence describing unwanted image characteristics, objects, styles, defects, or artifacts.
Do all image generators support negative prompts?
No. Support varies by model and interface. Some systems use dedicated fields, while others require natural-language exclusions.
Should I always use a very long negative prompt?
Usually not. Shorter targeted exclusions are easier to test and may preserve more useful creativity.
What does keyword weighting do?
Weighting increases emphasis on selected exclusions when the chosen workflow supports weighted prompt syntax.
Can I export my settings?
Yes. Use the CSV option for structured data or PDF for a simple printable report.
Does this tool send my prompt anywhere?
No. Prompt generation runs locally in your browser, while exports are created by this file.