NEGATIVE PROMPTS DICTIONARY

Wan AI Negative Prompts: What to Exclude and Why

Negative prompts tell Wan what NOT to render. A well-chosen exclusion list is the difference between a publish-ready clip and one full of melted hands. Here are the exact lists we use, organized by content type.

The Universal Baseline

This short list fixes the most common failure modes across every content type. Start here before adding anything scene-specific:

  • morphing — objects melting into each other mid-clip
  • warping — background geometry bending unnaturally
  • distorted face — features drifting or smearing
  • extra fingers / extra limbs — the classic anatomy failure
  • blurry — global softness, usually from fast motion
  • flickering — brightness or texture strobing between frames
  • low quality — general fidelity floor

When Negative Prompts Backfire

Negatives are subtractive instructions, not magic. Two rules keep them safe: don't exclude things your prompt needs (adding 'cartoon' to negatives while prompting anime style will fight itself), and don't stack dozens of terms — over-long negative lists dilute every entry and can flatten overall quality.

Our rule of thumb: baseline seven terms plus at most three scene-specific exclusions.

Beyond Negatives: Fixing the Root Cause

Some artifacts trace back to the positive prompt, not missing negatives: face distortion usually comes from extreme camera moves; flickering often comes from conflicting motion instructions. If a specific artifact survives a targeted negative, simplify your camera language first — then reach for longer exclusion lists.

Artifact → Cause → Fix

ArtifactUsual CauseFirst Fix
Face smearingFast camera move on close-up'slow push-in' + 'distorted face' negative
Extra fingersHands visible mid-motionFrame out hands, or add hand negatives
Background warpingOrbit >45° or multi-move promptsReduce arc angle, one move per clip
FlickeringConflicting motion wordsSimplify motion, add 'flickering' negative
Text/logo driftLong generation on detailed surfacesShorter clip, 'label distortion' negative
Overall softnessAmbitious scene complexityClose-up framing, raise style keywords

Copy-Paste Negative Prompt Lists

Copy any template below and paste it straight into the generator.

Universal Baseline (all content types)

morphing, warping, distorted face, extra fingers, blurry, flickering, low quality

Start with this list in the negative prompt field.

Portraits & People

morphing, warping, distorted face, asymmetrical eyes, extra fingers, deformed hands, blurry skin, plastic skin texture, flickering, low quality

Product & Commercial Shots

warped geometry, label distortion, melting edges, floating artifacts, dust, scratches, color banding, flickering, low quality

Protects logos and packaging text from drifting.

Anime & Illustration

sketchy lines, inconsistent linework, off-model face, extra fingers, muddy colors, frame jitter, watermark, text artifacts, low quality

Landscape & Nature

warping horizon, melting terrain, duplicated trees, texture crawling, flickering foliage, banding in sky, low quality

Food Close-Ups

melting textures, unnatural colors, plastic sheen, morphing garnish, flickering steam, low quality

Frequently Asked Questions

What negative prompts should I use for Wan AI?

The universal baseline works everywhere: 'morphing, warping, distorted face, extra fingers, blurry, flickering, low quality'. Add up to three scene-specific terms from our lists above.

Can negative prompts be too long?

Yes. Beyond roughly 10–12 terms the entries start competing and can reduce overall fidelity. Keep it surgical: baseline plus a few targeted exclusions.

Do negative prompts slow down generation?

No measurable impact — they simply steer the diffusion process away from listed concepts.

Why is my video still warping despite negatives?

Negatives suppress tendencies, they can't override prompts. Warping almost always traces back to camera language: cut to one slow move per clip before adding more negative terms.

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