Negative Prompt
A negative prompt is a second prompt that tells an AI generation model what you do not want in the output, steering the result away from listed elements such as blur, watermarks, text or unwanted objects.
During generation, the model is guided toward images that match your main prompt. A negative prompt adds the opposite force: at each denoising step, the output is also pushed away from whatever the negative prompt describes. It is a steering mechanism, not a filter applied afterward, which is why it can prevent problems that would be hard to edit out later.
Negative prompts earn their keep on recurring flaws. If a model keeps adding text or watermark-like marks, listing those in the negative prompt suppresses them. If portraits come out overly smooth or airbrushed, negatives describing that plastic look push toward natural skin. Quality terms like blurry or low quality are common defaults in some ecosystems.
They are corrective, not primary, controls. A weak main prompt cannot be rescued by a long negative list, and huge boilerplate negatives can drain variety and even fight your actual intent. The practical approach: write the positive prompt first, generate, and add negatives only for problems you actually observe.
Support varies by model. Classic diffusion interfaces expose a dedicated negative prompt field, while some newer models handle exclusions written naturally in the main prompt. Where the field exists in Arteza's studios, short and specific beats long and generic.
Frequently asked questions
What should I put in a negative prompt?
Only things that keep appearing and that you want gone: text, watermarks, blur, extra limbs, a specific unwanted object or style. Short, targeted lists work better than pasted boilerplate.
Why is my negative prompt not working?
Either the model weighs negatives weakly, the term is too vague, or your main prompt is actively implying the unwanted element. Try more specific wording, and check whether the model supports negative prompts at all.
Do all AI models support negative prompts?
No. It is standard in classic diffusion interfaces, but some newer models drop the separate field and expect exclusions phrased in the main prompt instead.