MAJORFailure Reference

Kling Motion Blur Overload — Refund Guide

Technical Classification

Inappropriate Motion-Vector Field Application

Inappropriate Motion-Vector Field Application occurs when Kling's motion-blur module over-allocates blur to regions of the frame that should remain sharp. The motion-vector predictor mis-estimates per-pixel velocity for static or near-static elements, then applies temporal smoothing as if those pixels were moving fast. Result: unusable footage where a still subject is rendered with motion-blur trails, or a static background goes soft behind moving foreground.

How to identify this failure

✕Static subject rendered with motion-blur trails
✕Background goes soft while foreground stays sharp (inverted)
✕Slow camera pan produces extreme blur as if rapid
✕Sharp objects become smeared between frames
✕Detail loss localised to wrong region of the frame

Real generation examples

Prompt used

"Static product shot of a watch on a marble surface, no movement"

Failure observed @ 0:00 → 0:04

Watch face rendered with horizontal motion-blur trails despite static prompt

Prompt used

"Slow camera pan across a still bookshelf"

Failure observed @ full duration

Book spines rendered with motion-blur as if camera were sprinting, spines unreadable

Documentation strength

If you need to escalate

MEDIUM-HIGH — Kling support recognises motion-vector misapplication when you can demonstrate static prompt + blurred output side-by-side.

AVA is a pre-purchase prevention tool, not a post-purchase recovery tool. Platforms generally do not guarantee credit refunds for output-quality failures; goodwill credits are at each platform's discretion. The strength rating reflects how well-formed your support ticket can be, not a promised outcome.

Prevention + documentation steps

01
Score your prompt before you generate
Run your prompt through AVA's pre-flight scoring against the Inappropriate Motion-Vector Field Application pattern. Green light = generate. Yellow/red = rewrite using the suggested fix before you commit credits.
02
Capture Generation ID + timestamp if it failed anyway
Find the Generation ID in the URL or share link. Note the exact time when the Inappropriate Motion-Vector Field Application first appears (e.g. "failure first visible at 1.2s"). Timestamped evidence is significantly stronger than a general complaint.
03
Use the correct technical term in your support ticket
Describe this failure as "Inappropriate Motion-Vector Field Application". This term maps to a recognised internal workflow in the support system and routes the ticket to the right team.
04
Submit via the correct support channel
Runway has no direct email intake. Pro+ plan: open the in-app AI Assistant (help widget bottom-right of app.runwayml.com), describe the failure with the technical term, attach evidence. Free/Standard plan: human support isn't available — your channel is Discord #community-help with @On Call - Moderators.

Frequently asked questions

Does Kling refund credits for motion-blur over-application?

Yes, when the prompt specified static or slow motion and the output shows aggressive blur. Cite "Inappropriate Motion-Vector Field Application" and attach the prompt + frame stills.

Why does Kling over-apply motion blur?

The motion-vector predictor estimates per-pixel velocity probabilistically. Texture-rich static surfaces (marble, wood grain, fabric) can produce false-positive velocity estimates, triggering temporal smoothing.

Which Kling prompts are highest risk?

Static product shots, slow camera moves, texture-rich surfaces, and any prompt where sharpness is critical. AVA scans for motion-vector ambiguity in static-scene prompts.

Score your prompt

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