Negative Prompts Explained

A negative prompt is a second instruction that lists what you do NOT want in the output. While your main prompt pulls the image toward a subject, the negative prompt pushes unwanted traits away. Common examples for images: blurry, extra fingers, watermark, text, low quality, deformed hands, oversaturated. For video, add flicker, warping, and duplicated limbs.

Be specific and concrete, not emotional. Writing bad is weak; writing lowres, jpeg artifacts, extra limbs, cropped face gives the model measurable targets. Keep the list tight — 5 to 10 terms usually beats a 30-word dump, because an overloaded negative can strip detail you actually wanted. If a defect keeps appearing, add the exact term for it and regenerate rather than rewriting the whole positive prompt.

On CinderHub you can save a reusable negative-prompt preset and apply it across chat-to-image, storyboards, and video in one click, so your whole project stays consistent. Test in pairs: run the same seed with and without a term to confirm it actually helps. Treat the negative prompt as a fine-tuning dial, not a magic fix — the positive prompt still does most of the work.