CRITICALFailure Reference

Vidu Hand Artifact — Pre-Generation Risk Reference

Technical Classification

Manual Topology & Articulation Failure

Manual Topology & Articulation Failure on Vidu occurs when the model produces hand geometry that violates the standard five-finger, three-joint articulation. Hand failures on Vidu are statistically the highest-incidence failure for any close-up frame. The Reference-to-Video pipeline does not stabilize hand topology — even with a clean reference hand, the diffusion sampler invents finger counts.

How to identify this failure

✕Six fingers (or four) on a hand visible on Vidu output
✕Knuckles fused into a single bone-like mesh
✕Fingers passing through grasped objects (cup, phone, pencil)
✕Hand grip geometry inverts mid-clip
✕Reference hand in input had 5 fingers, output has 6

Real generation examples

Prompt used

"Close-up of a barista pouring latte art, soft morning light"

Failure observed @ 0:02

6 fingers on right hand at 0:02, cup geometry interpenetrated with thumb at 0:04

Prompt used

"Surgeon's hands tying suture knots, ultra close-up"

Failure observed @ 1.1s

Both hands developed extra finger at 1.1s, fingers passed through each other at 2.6s

Documentation strength

If you need to escalate

VERY HIGH — Hand artifacts on Vidu are routinely refunded; ShengShu support classifies these as recognized failure modes.

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 Manual Topology & Articulation 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 Manual Topology & Articulation 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 "Manual Topology & Articulation 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

Why does Vidu generate six fingers on hands?

Video diffusion models, including Vidu's transformer-based architecture, learn finger counts statistically. Without an explicit anatomical constraint, the denoising process can produce variable counts — six is most common because training data oversamples five-finger references which the model overcorrects.

Should I avoid hand close-ups on Vidu?

For credit efficiency, yes. For paid generations, keep hands at distance, in motion, or out of focus. AVA L1 scanner gives a hand-risk score before you spend credits.

How do I get the strongest refund decision on a hand artifact?

Send: Generation ID, timestamp of first visible finger-count error, frame capture, and the term "Manual Topology & Articulation Failure". AVA generates the entire packet.

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