Negative Prompts Explained: Telling AI What to Leave Out

A negative prompt is a second input that tells an image or video model what to avoid, running alongside your main prompt. While your positive prompt describes the subject, lighting and style you want, the negative prompt catches recurring problems the model would otherwise add on its own. Think of it as a filter: 'generate this, but not that.'

Keep negatives specific and short. For portraits, terms like 'extra fingers, deformed hands, blurry, low resolution, watermark, text' clean up the most frequent errors. For video, add 'flickering, warping, duplicate limbs' to stabilize motion. Avoid dumping fifty tags at once, because a bloated list dilutes each term's weight and can strip detail you actually wanted.

On CinderHub you'll find a dedicated negative field next to the prompt box, so you don't have to cram exclusions into one line. Save a reusable negative preset for your go-to style, then tweak it per shot. Change one variable at a time and compare outputs, treating the negative prompt as a dial you tune rather than a fixed spell you copy forever.