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Negative Prompt Generator

Build a Stable Diffusion negative prompt from the problems you keep getting.

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What keeps going wrong

Quick Tool Overview

The Negative Prompt Generator builds a Stable Diffusion negative prompt from the problems you are actually getting — anatomy, artefacts, watermarks, cropping, exposure — with optional weighting, and adapts its output and advice for SD 1.5, SDXL, SD 3.5, FLUX and Midjourney --no.

What it does
Builds a negative prompt for image generation
You give it
The faults you want to avoid and your model
You get back
A de-duplicated negative prompt, weighted if you like
Best for
Stable Diffusion, SDXL, ComfyUI and Midjourney
AI Tools Free, unlimited use No sign-up Runs in your browser

About the Negative Prompt Generator

A negative prompt tells an image model what to steer away from. In Stable Diffusion it is often where most of the quality comes from: the difference between six fingers and five, a clean frame and a watermark, a sharp photo and a smeared one.

Rather than pasting the same giant list into every render, tick the problems you are actually getting — anatomy and hands, low resolution and artefacts, text and watermarks, cropping and duplicated subjects, exposure faults — and choose whether to keep the image photographic or illustrated. Duplicates are removed, your own terms go first where they carry the most weight, and anatomy and quality terms can be weighted with the (term:1.2) syntax.

The advice changes with the model. SD 1.5 leans on negatives heavily; SDXL and SD 3.5 need shorter, targeted lists; FLUX Dev and Schnell ignore negative prompts entirely because they run without classifier-free guidance; and Midjourney takes exclusions through --no, where a short list works far better than a long one. The tool says which applies.

Key features of the Negative Prompt Generator

Grouped by failure

Tick anatomy, artefacts, text, framing or exposure instead of pasting a generic wall of words.

Model-aware advice

Explains that FLUX ignores negatives, SD 1.5 leans on them and Midjourney wants a short --no list.

Attention weighting

Anatomy and quality terms can be written as (term:1.2) or (term:1.4).

Conflict detection

Choosing both photographic and illustrated protection is flagged, because each cancels the other.

Token budget warning

Shows when the list spills past the 75-token CLIP chunk.

How to use the Negative Prompt Generator

  1. 1

    Choose your model

    SD 1.5, SDXL, SD 3.5, FLUX or Midjourney. The output and the advice change to match.

  2. 2

    Tick what goes wrong

    Pick the groups for the faults you actually see, rather than every group at once.

  3. 3

    Add your own terms

    Specific unwanted objects or colours, comma separated. They are placed first.

  4. 4

    Copy into the negative field

    Paste into the negative prompt box of Automatic1111, Forge, ComfyUI or Fooocus.

Frequently asked questions

A second prompt describing what the image should not contain. During generation the model is pushed away from it, which is why it can fix recurring faults such as bad hands or watermarks.

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