Negative prompt guide for AI video
Generative video has signature artifacts: temporal flicker, morphing faces, jittery motion, stray text and watermarks. A good negative prompt steers the model away from them. This guide assembles a curated, platform-aware negative prompt from the exact issues you’re fighting.
How it works
A negative prompt lists what you do not want. The model down-weights those concepts during generation. This tool keeps a vetted vocabulary per artifact — for example, flicker maps to “temporal flicker, strobing, flashing frames, inconsistent lighting” — and combines the terms you select. Where a platform has no negative field (Sora, for instance), it phrases the list for inclusion in the main prompt instead.
Tips for fewer artifacts
- Pair negatives with calmer prompts. Negatives help, but reducing commanded motion and locking the camera prevents most flicker and morphing at the source.
- Don’t over-stuff. A focused 5–8 term negative beats a 30-term list that dilutes the signal.
- Target the real issue. Morphing and jitter need different terms — fix what you actually see rather than throwing everything in.
- Switch models for baked watermarks. If a watermark appears on every output, no negative will remove it; change the source model.