Fix AI Video Artifacts: Flicker, Morphing, Warped Hands and Geometry Drift
Nearly every bad AI clip fails in one of six recognisable ways. Once you can name the failure, the fix is usually a single change rather than a rewrite. This page lists the six patterns, what actually causes them, and the change that resolves each one.
Generated video fails in patterns, not at random. The wobbling background, the face that reshapes itself between frames, the hand with six fingers, the text that resolves into nonsense — each has a cause that is mostly understood and each has a fix that works more often than not.
The useful skill is diagnosis. Rewriting the whole prompt after a bad render throws away the parts that worked and usually introduces a new failure. Changing one variable — length, motion, subject count, or shot size — and rendering again is faster and far more likely to land.
One caveat up front: models differ, and the same clip can succeed on one run and fail on the next. Everything below is a probability, not a guarantee. The workflow that makes this bearable is the same one professional users settled on: render short, diagnose, change one thing, render again.
The core idea
Four principles behind every prompt on this page.
Diagnose before rewriting
Identify which of the six patterns you are looking at, then change the one variable that controls it. A full rewrite resets everything that was already working.
Short clips fail less
Almost every artefact gets worse with length. If a five-second render is clean and a fifteen-second one is not, the length is the variable, not the prompt.
Fewer moving subjects, fewer artefacts
Each independently moving subject is another motion stream the model has to keep coherent. Two people interacting is dramatically harder than one person doing something.
Hide what the model is bad at
Hands, text, fine fabric and distant geometry are the weak spots. Framing them out or putting them in shadow is a legitimate solution, not a workaround to be ashamed of.
Step-by-step
The order that keeps you from debugging five things at once.
Render five seconds first
Before you diagnose anything, get a short render. Many artefacts that look catastrophic at fifteen seconds never appear at five, and the short render tells you whether the prompt is sound at all.
Name the failure
Flicker, morphing, extra limbs, warped text, geometry drift or identity swap. Each points at a different variable, and the fix for one will not help another.
Change one variable only
Length, subject count, motion amount, shot size or reference image. Change two at once and a successful render teaches you nothing about what fixed it.
Render the same prompt twice
If a failure is intermittent rather than constant, that is a sampling problem, not a prompt problem. Run it again before you change anything — it often resolves.
Frame it out if it will not fix
Hands in pockets, text off-frame, background in shadow. Composition is a legitimate tool and it is faster than fighting the model.
Prompt recipes
Paste as-is, then swap the subject for yours.
Temporal flicker
Locked-off static camera, a single ceramic cup on a linen cloth, soft window light from the left, no movement in frame except steam rising, close-up
Why it works: Flicker comes from the model re-deciding fine texture every frame. Reduce texture detail and remove camera motion: static frame, simple background, one subject, soft light.
Facial morphing
Medium close-up, soft even light from the front, a woman turning slowly to camera, plain dark background, minimal motion, shallow depth of field
Why it works: Faces morph when they move a lot or sit in hard light. Slow the movement, front-light the face, and hold the same shot size through the clip instead of asking for a move.
Extra or warped hands
Medium shot framing from the chest up, hands resting flat on a table out of frame, a man speaking to camera, soft office light
Why it works: The honest fix is composition. Chest-up framing removes hands entirely, and hands resting on a surface generate far more reliably than hands gesturing in open air.
Warped text
A plain notebook lying open on a desk, no legible writing, soft daylight, close-up, static camera
Why it works: Text rendering is genuinely unreliable. Either keep text out of frame or generate the clip clean and add the text as a real caption layer afterwards.
Background geometry drift
Static camera, a dancer centred against a plain seamless backdrop, no background detail, strong key light, medium shot
Why it works: Complex backgrounds — crowds, trees, architecture — are what drift. Swap to a seamless or defocused background and the subject stabilises immediately.
Identity swap between cuts
Single subject only, continuous single take, no cuts, a chef plating one dish, warm practical light, medium shot
Why it works: Identity swaps happen at cuts and with multiple people. One subject in one continuous take removes the problem at the source.
Common mistakes
The four that account for most bad results.
Rewriting the whole prompt after one failure
Most failures are intermittent. Run the same prompt a second time before you change anything, then change one variable if it fails again.
Chasing a fix at full length
Diagnosing at fifteen seconds is slow and expensive. Drop to five seconds, fix it there, then extend.
Asking for a complex background and a complex subject
Motion budget is finite. A detailed crowd behind a dancing subject is two hard problems at once; simplify one of them.
Expecting text in frame to render correctly
It usually will not. Add captions, titles and logos in an editor after generation — that is how finished work is actually made.
Why artefacts cluster in predictable places
The failures track the parts of a scene the model has the least signal for.
A video model has to stay coherent across two axes at once: within each frame, and between frames. Almost every artefact is a breakdown on the second axis. Flicker is the model re-deciding texture frame to frame; morphing is it re-deciding identity; geometry drift is it re-deciding structure. Anything that increases what has to be re-decided makes all three worse.
That is why length, subject count and background complexity sit behind so many failures. Each one multiplies the number of decisions that have to stay consistent over time. Cutting any of them reduces the artefact rate, and cutting length is nearly free.
It also explains why the composition tricks work as well as they do. Putting hands out of frame or a background in shadow is not dodging the problem — it is removing the specific decisions the model is worst at, which is exactly what a cinematographer does on a real set when something will not shoot well.
Practise it in OpenFilmo
Every recipe on this page runs in the same workspace.
A five-second clip costs 5 credits and one image costs 2. The Free plan gives you 30 credits every month with no credit card, no watermark and commercial use included — enough for six five-second tests before you pay anything. Paid plans start at $9 for 400 credits and add faster generation, parallel tasks and higher export resolution.
Related guides
Longer reads on the same workflow, from the OpenFilmo blog.
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AI tools
Single-purpose tools that run in the same workspace, on the same credit balance.
Vidu models
The Vidu Q1 and Q2 models this site runs on, and how they compare to Kling, Veo and Runway.
Related workflows
Closely related tools and guides on the same problem.
Frequently asked questions
Why does my AI video flicker?
Because the model is re-deciding fine texture every frame instead of holding it. Reduce texture detail, remove camera movement and shorten the clip; a static frame with soft light flickers far less than a moving one with a detailed background.
How do I stop faces from morphing in AI video?
Slow the motion, front-light the face and hold one shot size. Morphing gets worse with fast movement, hard side light and large changes in framing.
Why does my AI video generate extra fingers?
Hands are the hardest structure for video models and the failure rate is high when hands move in open air. Frame them out, rest them on a surface, or generate more variants and pick one.
Can AI video render text correctly?
Not reliably. Short words on flat surfaces sometimes work; sentences, logos and anything small usually do not. Add text as a real layer after generation.
Should I regenerate or change the prompt after a bad render?
Regenerate first. Many failures are sampling noise and resolve on a second run. If the same failure repeats, change one variable — length, motion, subject count or shot size — and try again.
Does a longer clip cost more credits?
Yes. Five seconds costs 5 credits, so a fifteen-second clip costs three times as much. Diagnosing at five seconds is both faster and cheaper.