negative prompt

advancedwidespread

A negative prompt is a specific instruction to an image- or video-generating AI in which you list what the finished work should not contain.

In plain terms

When you ask a generative AI for an image, you describe what you want to see in the regular prompt. The negative prompt is its counterpart: a second text field where you write what you do not want, for example 'blurry, text, watermark, distorted hand'.

It is like telling a hairdresser not only what hairstyle you want but also saying, 'just don't make it too short, and no bangs.' One or two well-chosen prohibitions often lead to the desired result faster than detailing the request further.

This is necessary because many image generators misunderstand negation in standard prompts. If you write "do not have a car on it," the word "car" often causes a car to appear in the image. The negative prompt handles this on a separate channel, making it more reliable.

How it works

You enter the regular prompt (what you ask for) and the negative prompt (what you do not ask for). The program converts both into number sequences that the model can interpret.
Image generation starts from noise, and the model cleans it into an image in many small steps. In each step, it estimates twice: once according to the regular prompt and once according to the negative prompt. If there is no negative prompt, the second estimate is made from empty text.
The program calculates the difference between the two estimates and pushes the image toward the standard prompt while moving it away from the negative prompt.
Its strength is regulated by a setting most programs call the CFG value or "guidance scale". A higher value makes the model follow both instructions more strictly, but an excessively high value can produce an oversaturated, distorted image.
By the end of the steps, an image forms that is close to what you requested and far from what you excluded; this is not a hard filter, as excluded elements may still appear.

An everyday example

You create a product image for your webshop with an image generator, but the images constantly show nonsensical text and watermark-like spots. You type "text, caption, watermark, logo" into the negative prompt field, and on the next images these occur much less frequently.

Who is affected

marketerWhen creating campaign images and videos, you can use this to filter out recurring errors, unwanted styles, or out-of-place elements. → Marketing

entrepreneur, executiveIf you create illustrations or product photos with AI yourself, you reach a usable image with fewer attempts.

developerIf you integrate an image generator into an application, a pre-set negative prompt can deliver more consistent quality to users. → Code

parent, student, teacherFor images created for school projects or illustrative diagrams, this is a simple way to avoid distracting or irrelevant details. → Education & Family

A common misconception

MythWhat you enter in the negative prompt will definitely not appear in the image.

In realityA negative prompt only diverts the model from the specified things; it does not ban them. The excluded element may still appear, though less often, so always check the result.

Limits and risks

It does not exist in every tool: many chat-based image generators lack a separate field, and some newer models do not support it at all due to their architecture.
An overly long, exhaustive negative prompt can degrade the image, yielding a duller, stiffer, or strangely empty result.
The effect of "magic lists" spreading on the internet varies by model, helping one while being useless for another.
It is not a security tool: filtering illegal or harmful content cannot be relied upon for this; providers use separate content filters for that purpose.

Similar, but not the same

prompt – The prompt tells the model what you request, the negative prompt tells it what you want to avoid, and the model handles the two separately.
content filter – The content filter is set by the provider and blocks, while the negative prompt is written by you and only guides.
system prompt – A system prompt defines the general behavior of a text-based AI, while a negative prompt refines the content of a single image or video.

Related concepts

Broader

prompt, Prompting, generative AI

Narrower

–

On the edge

diffusion model, image generation, text-to-image, video generation, content filter

A brief history

The negative prompt builds on a more general technique, classifier-free guidance, which Jonathan Ho and Tim Salimans presented at the end of 2021 and published on arXiv in 2022. In the original technique, the second estimate is generated from an empty text. In the second half of 2022, after the release of the open-source Stable Diffusion, the community began replacing this empty text with a "what not to include" list. The idea became widespread through popular user applications built around Stable Diffusion.

Where things stand

By the end of 2026, this is a standard setting in open-source image and video generation tools, and several video generators offer such a field. It is rarer in chat-based image generators because there the model understands natural language requests, including negation, increasingly well.

Status: 2026 November

Also known as

negative prompt · negative prompt · negative prompting · negative instruction · exclusion prompt · negative prompting · --no parameter

Sources

This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.