Negative prompts that actually work (and ones that don’t)

Most people paste a giant negative-prompt block they found online and never touch it again. Here’s what actually moves the needle.

June 11, 2026 · 5 min read

What a negative prompt actually does

A negative prompt tells the model what to steer away from — it’s a second conditioning input, not magic. The model pushes the image away from those concepts, so short and specific beats long and generic.

The short list that earns its place

  • worst quality, low quality — a broad quality steer that genuinely helps on SD 1.5 and SDXL.
  • blurry, out of focus — when you want sharpness.
  • extra fingers, extra limbs, deformed hands — the classic anatomy fixes.
  • watermark, signature, text — when stray marks or text show up.
  • jpeg artifacts — for a clean, uncompressed look.

What’s usually cargo-culted

Those 200-token mega-negatives copied from a model page rarely help, and can suppress detail. Every token you add dilutes the rest. If you can’t explain why a token is there, cut it and compare — you’ll usually keep the cut.

It depends on your model

  • SD 1.5 / SDXL: negatives help; keep them focused.
  • Pony: put low score tags (score_4, score_5, score_6) in the negative to push quality up.
  • Illustrious: booru-tag negatives like bad anatomy, jpeg artifacts.
  • Flux: you usually don’t need a negative prompt at all — the base pipeline ignores it.

A reusable baseline

worst quality, low quality, blurry, deformed, extra fingers, jpeg artifacts

Save your baseline once and stamp it into every build, then add model-specific tweaks per project instead of retyping. In Prompt Builder a negative block is just a button you press.

Related

Build it without the syntax wrangling

Prompt Builder turns weighting, LoRA tags and negative prompts into one-click snippets and keyboard shortcuts — free on web, macOS, Windows and Linux.