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Negative Prompts: What They Are and How to Use Them

A negative prompt lists what you do not want in an AI image, such as blur, extra fingers or text. Each tool handles it differently. Here is how to use them well.

GPTPrompts.AI Editorial

Facts checked against official announcements and documentation, October 2026 · Last updated October 2026

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01 · Basics

How negative prompts work

Negative prompts are a steering tool, not a guarantee.

What is a negative prompt?

Text that describes what you want an image generator to avoid. In diffusion models it pushes generation away from those concepts while the main prompt pulls toward your subject.

Source: Hugging Face Diffusers: Prompt techniques (negative prompts and weighting)

Do all AI image generators support negative prompts?

No. Stable Diffusion-based tools have a dedicated field, Midjourney uses --no, and ChatGPT and GPT Image models rely on plain-language instructions in the main prompt.

Source: Hugging Face Diffusers: Prompt techniques (negative prompts and weighting); Midjourney Docs: No (--no parameter); OpenAI API: GPT Image prompting guide

Do negative prompts always work?

No. They reduce the chance of unwanted elements but do not remove them reliably, especially for small details like hands. Regenerate or edit when they slip through.

02 · By tool

Negative prompts in each tool

Syntax differs; the principle is the same.

How do I use a negative prompt in Stable Diffusion?

Enter the unwanted concepts in the negative prompt field, separated by commas, for example: blurry, low quality, watermark, text, extra fingers. Libraries such as Diffusers accept a negative_prompt argument.

Source: Hugging Face Diffusers: Prompt techniques (negative prompts and weighting)

How do I use --no in Midjourney?

Add --no followed by what to exclude at the end of your prompt, for example a forest path --no people. Separate multiple items with commas.

Source: Midjourney Docs: No (--no parameter)

How do I exclude things in ChatGPT image generation?

Say it directly in the prompt: no text, plain background, no people in the background. GPT Image models follow plain-language instructions rather than a separate negative field.

Source: OpenAI API: GPT Image prompting guide

03 · Examples

Negative prompt examples

Start with a short base list and add only what you actually see going wrong.

What is a good general negative prompt?

A short base such as: blurry, low quality, distorted, watermark, text, signature. Add specific items only when they appear in your results.

What negative prompt helps with portraits?

For portraits: extra fingers, deformed hands, asymmetrical eyes, blurry face. Pair it with a clear positive prompt describing the pose and lighting.

Can a negative prompt be too long?

Yes. Very long lists of generic terms can dilute the effect and flatten the image. Keep it focused on the specific problems you see.

Source: Hugging Face Diffusers: Prompt techniques (negative prompts and weighting)

Sources

Read and checked October 2026. Policies change, so confirm anything time-sensitive on the source page.

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