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How to Fix AI Video Pacing in DaVinci Resolve

How to Fix AI Video Pacing in DaVinci Resolve

Generative video feels "floaty". Here is how colorists and editors are hacking Resolve to make AI clips feel like real camera footage.

A
Ansuman
Lead EditorPublished July 25, 2026Updated May 1, 2026
DaVinci Resolve AI Pacing

If you've played with Runway Gen-3 or Kling, you know the feeling. The visuals are stunning, but the motion feels bizarre. It is too smooth, too slow, and lacks the kinetic energy of a real camera operator.

When you drop these clips into DaVinci Resolve or CapCut, they drag the pacing of your entire edit down. Fixing this requires more than just a simple speed ramp.

Why does AI video pacing look wrong?

AI video models generate motion by interpolating latent space, which often results in a uniform, 'floaty' slow-motion aesthetic. To fix this, editors must manually override the pacing using Optical Flow speed ramping, adding synthetic motion blur, and introducing post-process camera shake (like Resolve's Camera Shake OFX) to ground the artificial motion in physical reality.

Real footage has micro-stutters, shutter angle blur, and human imperfection. You have to add that back into AI video.

Timeline Hacks

Optimal

The Anti-Float Workflow

Speed Ramping: Do not just set the clip to 150% speed. Use keyframes to ramp fast into the action and slow on the impact.

Motion Blur: AI clips generated at weird framerates lack proper shutter blur. Add a localized Motion Blur effect to tie the accelerated frames together.

System Graph
Resolve OFX Stack for AI Video
Camera Shake
Speed: 0.15, Motion Blur: On (Adds handheld realism).
Film Grain
35mm 400T preset (Hides AI rendering artifacts in the shadows).
Halation
Mimics lens physical light scattering.

Insight

"The fastest way to make AI video look cheap is to leave it exactly as it came out of the generator. You are an editor; force it into your rhythm."
T
The Leverage Rule
eonik

While DaVinci Resolve provides incredible tools to fix this, it is highly manual. The next generation of editors (like eonik) are building semantic retiming directly into the ingest phase, stripping out the 'floaty' AI feel automatically before you even touch the timeline.

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