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    The short answer · 11 words

    In short

    A Negative Prompt specifies features that a generated image should avoid.

    Flow-alerta.cab (2026): Negative Prompt. https://flow-alerta.cab/en/glossar/negative-prompt. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Helps people use AI safely and meaningfully in their everyday work.

    Possible example: A team specifies unwanted image features in a negative prompt and then checks the generated variants.

    Possible application: specify unwanted subject characteristics as an additional input if the model used supports negative prompts; check each result individually.

    At a glance

    Core
    A negative prompt specifies unwanted features for a generative model that supports this input. It influences the output but does not guarantee exclusion. Not all models or interfaces support this additional input.
    Use
    Helps people use AI safely and meaningfully in their everyday work.
    Example
    Possible example: A team specifies unwanted image features in a negative prompt and then checks the generated variants.
    Limits
    Relying on exclusions being guaranteed.

    In context

    AI Slop

    Pejorative term for inferior, often mass-generated AI content.

    Deep Research

    Deep Research describes a multi-level, source-based AI research.

    AI-native browser

    An AI-native browser is a web browser in which AI features are a central part of the user experience. An integrated assistant can, for example, explain, summarise or compare page content it has been authorised to access. Some products can also perform actions on websites, although capabilities and permissions vary by product.

    Questions about this term

    What does Negative Prompt mean?

    A Negative Prompt specifies features that a generated image should avoid.

    What mistakes should be avoided?

    Relying on exclusions being guaranteed.

    All details and background

    A negative prompt specifies unwanted features for a generative model that supports this input. It influences the output but does not guarantee exclusion. Not all models or interfaces support this additional input.

    ELI5 – Explained simply

    Like an exclusion list alongside the actual image description.

    Why it matters in practice

    Helps people use AI safely and meaningfully in their everyday work.

    Example

    Possible example: A team specifies unwanted image features in a negative prompt and then checks the generated variants.

    Pitfalls and limits

    • Relying on exclusions being guaranteed.

    Origin & history

    The Diffusers documentation explains negative prompts as an additional way to control image generation. Support and actual effects depend on the pipeline and model.

    Use in mid-sized companies

    • Possible application: specify unwanted subject characteristics as an additional input if the model used supports negative prompts; check each result individually.

    Related terms

    Matching Flow-alerta service

    TrainingTraining for companies & teams

    Matching tool / use case

    View use casesUse case: AI training using your own work task

    Sources

    • huggingface.coHugging Face, Diffusers: Conditional image generation / Negative prompts

    Quellen geprüft am 09.10.2026. Redaktionelle Anwendungsbeispiele sind hypothetisch; kein Nachweis realer Kundenergebnisse.

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