Negative Prompts for AI Video: What to Include and Why
Last updated: October 12, 2026
A negative prompt tells the model what you do not want: blur, warping, extra limbs, watermarks, flicker. Not every tool has a separate negative field, but many image and video generators do, and where they exist they are one of the easiest ways to clean up results.
The trick is to target the artifacts that actually appear in your type of shot, rather than pasting a giant list of every bad word you can think of.
When to use it
- Your clips flicker, warp, or morph between frames.
- Faces and hands come out distorted.
- Product shots have dust, smudges, or harsh reflections.
- Random text or watermarks appear in the image.
How to write the prompt
1. Start with a base list. Blurry, low quality, distorted, deformed, extra limbs, watermark, signature, text errors, and bad anatomy cover the most common problems in almost any generation.
2. Add motion-specific negatives for video. Flickering, temporal inconsistency, morphing, warping, and ghosting target problems that only appear when frames are animated.
3. Add product-specific negatives for photos. Dust, scratches, harsh reflections, color banding, and cluttered background matter most in commercial product shots.
4. Keep it focused. Very long negative lists can dilute the important terms. Pick the 10 to 20 that match the problems you actually see.
5. Check your tool's support. If your tool has no negative field, phrase the important ones positively in the main prompt instead, like "stable, consistent identity throughout".
Copy-ready example
Subject: A dancer spinning in a flowing red dress on a dark stage. Generate the keyframe image first, then use it as the start frame for your video with the motion layer as the video prompt. Add the negative block wherever your tool accepts one.
A dancer spinning in a flowing red dress on a dark stage. medium hero shot, subject framed from mid-torso up, heroic and commanding presence, shot on a 50mm prime lens, natural human-eye perspective with clean, undistorted rendering, moody film-noir chiaroscuro, hard directional key light, deep crushed shadows and high-contrast modeling, 16:9 landscape aspect ratio. Photorealistic, cinematic color grade, high dynamic range, sharp focus.
Camera move: full 360° horizontal orbit around the subject at a fixed radius, arcing smoothly on a level plane, slow, tense creeping pace, deliberate and suspenseful timing. continuous circular parallax sweep, background rotating in opposition to the subject, constant distance and height. strict frame-to-frame identity lock, subject features, wardrobe and proportions held perfectly consistent. Animate only the camera and environment, not the subject's core features.
Negative: blurry, low quality, distorted, deformed, extra limbs, disfigured, watermark, signature, jpeg artifacts, text errors, bad anatomy, flickering, temporal inconsistency, morphing artifacts, warping, ghosting. Style: cinematic film grain, anamorphic character, high dynamic range, professional color grade.
Common mistakes
- Pasting a huge generic list that includes terms unrelated to your shot.
- Putting negatives inside the main prompt as "no blur", which some models read as "blur".
- Using photo negatives for video and missing flicker and morphing.
- Expecting negatives to fix a vague main prompt.
Try it with your own scene
CineCue builds every prompt layer for you. Open it with this setup, describe your own subject, adjust the options, and copy the result into your AI tool.