Negative Prompt Library for AI Video
A good negative prompt is not a random list. It should map to real failure modes in your footage. If you use a video to prompt generator, keep a reusable negative prompt library alongside your master prompts.
Core categories
1) Anatomy and face stability
- distorted face
- broken hands
- extra limbs
- asymmetrical eyes
2) Motion and temporal stability
- flicker
- jitter
- ghosting
- inconsistent trajectory
3) Environment cleanliness
- noisy background
- random text artifacts
- object melting
- inconsistent shadows
4) Style consistency
- style drift
- random palette change
- unstable grain pattern
How to use the library
- start with a short base list
- append scene-specific negatives
- review failures and update library weekly
Example
Negative prompt: distorted face, broken hands, extra limbs, temporal flicker, ghosting trails, noisy background, random text artifacts, style drift, inconsistent shadowsFAQ
Should negative prompts be very long?
No. Long lists can dilute signal. Keep only relevant constraints.
How often should I update the library?
Weekly is a good cadence for active teams.
