Negative Prompts Explained

A negative prompt lists what you do NOT want in the output. While your main prompt describes the subject, the negative prompt filters unwanted traits: think "blurry, extra fingers, watermark, low resolution, text" for images, or "flicker, warped hands, duplicate limbs" for video. Most diffusion models weigh it as a separate input, so it does real work rather than just being ignored keywords.

Be specific and target actual failure modes you see. Generic dumps like "bad, ugly, worst quality" rarely help; instead react to your results — getting cluttered backgrounds? Add "busy background, clutter." Getting plastic skin? Add "oversaturated, waxy." Add terms one batch at a time so you can tell which one fixed the problem, and avoid negating things you actually want, which quietly removes them.

On CinderHub you can save a reusable negative-prompt preset and apply it across chat, image, and video generations, so your cleanup terms stay consistent. Keep it short — 8 to 15 focused terms beat a wall of 50. Over-stuffing constrains the model too hard and can flatten composition, color, and detail, so trim anything that isn't fixing a real, repeated defect.