CRITICALFailure Reference

Kling AI Hand & Finger Artifact — Pre-Generation Risk Reference

Technical Classification

Hand-Anatomy Topology Failure

Hand-Anatomy Topology Failure is one of the highest-frequency rejection modes on Kling. The 1.6 model improved overall coherence but hands remain under-constrained. The failure is most severe on close-ups, gesture-driven prompts, and any clip where hands are the visual subject (cooking, crafts, sign language, musicians). Finger count drifts within a single clip; knuckles bend laterally; fingers fuse into a paddle shape during motion.

How to identify this failure

✕Finger count changing between frames in the same clip
✕Knuckle bending in non-anatomical direction
✕Thumb merging into adjacent fingers
✕Hand orientation flipping between palm and back
✕Hand geometry collapsing during rapid motion

Real generation examples

Prompt used

"Sign language interpreter signing 'hello' direct to camera"

Failure observed @ 0:01

Right hand showed 6 fingers at 0:01, 4 fingers at 0:03; signing motion garbled

Prompt used

"Hands kneading dough on a wooden surface, top-down"

Failure observed @ 0:02

Fingers fused into single mass at 0:02; reverted to 5 distinct fingers at 0:04

Documentation strength

If you need to escalate

VERY HIGH — Kling support treats hand failures as a recognised critical mode under their Anatomy escalation category. Refunds routine with timestamped evidence.

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 Hand-Anatomy Topology Failure 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 Hand-Anatomy Topology Failure 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 "Hand-Anatomy Topology Failure". 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 hand artifacts?

Yes. Submit the Generation ID with the technical term "Hand-Anatomy Topology Failure" and a timestamped screenshot of the impossible geometry. Kling's support team refunds documented hand failures consistently.

Are hand failures common on Kling 1.6?

Yes — hand failure rate remains elevated on 1.6 despite overall coherence improvements. Hands are anatomically dense but statistically sparse in training data, so the loss function under-constrains hand topology.

How do I avoid hand failures on Kling?

Frame hands further from camera. Avoid prompts where hand motion is the primary action. Keep clips ≤4s when hands are visible. AVA's pre-flight scanner flags hand-risk prompts before submission.

Score your prompt

Score your prompt against this failure mode in 30 seconds

Paste your prompt and the platform you intend to use. AVA returns a red/yellow/green score against this specific failure mode plus a concrete rewrite if the risk is high.

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