Reelune
10 Motions That Break a 5-Second AI Video — Why We Banned Them and What We Use Instead
Spins, hops and hand-to-mouth gestures. Rejection rates, the actual ban list, and the lessons behind it
- AI video glitches
- AI video unnatural motion
- image-to-video motion prompts
- Wan 2.2 motion
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Generate short AI videos every day and a pattern emerges: some motions never produce a usable clip, no matter how many times you try. We put those motions on a permanent ban list. This article covers **10 of them: spins, hops and gestures around the mouth.** It is the production record — which motions, why each one went, what replaced it, and the rejection numbers that pushed us there.
The 10 banned motions, classified
| Category | Example we banned | What went wrong | What we use instead |
|---|---|---|---|
| Full-body spins (4) | Twirl on the spot with a flaring skirt | Too fast for 5 s; the face leaves the camera and identity isn't held | Slow side-to-side sway / over-the-shoulder glance |
| Hops (1) | Small hop with a quick half-spin | Too fast; the face turns away before landing | Rising onto tiptoes, reaching upward |
| Fast choreography (1) | Point, wave and shoulder bounce in quick rhythm | Less than a second per action; reads as frantic | A single finger heart or peace sign |
| Hand to mouth (3) | Surprise into laughter, hand near the mouth | Surprise, laughter or embarrassment — it never resolves | A wave / peeking through both hands |
| Fingers on lips (1) | Thoughtful finger to the lower lip | The gesture's meaning doesn't come across | A sideways thinking glance that drifts back |
The short version: 10 banned motions, two reasons
Banned motions stay defined in our library but can never be selected. This article covers 10 of them:
The reasons collapse into two groups:
- Too fast for five seconds — the spins, the hop and the choreography (6)
- The gesture doesn't read — viewers can't tell what it means (4)
The usual complaint about AI video is extra fingers and melting hands. Yet among the reasons we recorded for these 10 bans, not one is a hand or finger rendering glitch. What got motions banned was speed and ambiguity, not anatomy.
How these clips are made
You can't talk about motion failures without the pipeline, so here it is:
- Generate one start image with SDXL plus PuLID, which locks the character's facial identity
- Hand that image to Wan 2.2, an image-to-video model, along with a motion instruction written in English
- The model renders 81 frames at 16 fps — about 5.06 seconds
- A human reviews every clip before it is approved or rejected
The motion instruction is assembled from a library of predefined motions: one or two of them (usually two), joined with `, then ` into a single sentence, for example:
she lifts one hand and gives a small playful wave to camera, ... , then her gaze drifts off to the side as if thinking about something, ...
The key fact: the video model only ever sees that one start image. Anything not visible in it — including a face that turns away from the camera and comes back — has to be redrawn by the model mid-clip.
The data: more beats, more rejections
Our first suspect was simply how much motion we were cramming into five seconds. We counted the then separators in each clip's motion instruction — each one is a change of action, a "beat" — and compared that against how often human review rejected the clip.
Rejection rate rose steadily with every added beat.
The arithmetic explains why. Chain two motions into 5.06 seconds, give each an internal "spin → stop → pose" structure, and you get five beats in total — roughly one second per action. That's the speed at which a clip starts to look frantic.
Clips get rejected for many reasons, so this is a correlation, not proof of cause. The 4-beat bucket has only six samples and is indicative at best. But when the most common pattern at the time (2 beat changes, n=141) was rejected 62% of the time, overpacked motion was impossible to ignore.
Failure 1: spins, hops and fast choreography (6)
Here are the six we removed. Every one of them sounds charming on paper.
| Banned motion | What the instruction asked for |
|---|---|
| Shoulder roll into a turn | Slow shoulder roll flowing into a turn, hair flaring, landing with a laugh |
| Twirl with a flaring skirt | A light spin on the spot, the dress flares, she lands facing camera laughing |
| Hair flip plus spin | A quick head turn to flip the hair, then a spin on the spot |
| Dress twirl, hem caught | Twirl in place, the hem flares at knee height, she catches it with one hand |
| Happy hop with a half-spin | A small excited hop and a quick half-spin before landing |
| Snappy hand choreography | A point, a wave and a shoulder bounce, in quick rhythm |
We recorded two reasons:
- Too fast for five seconds. As the numbers above show, each action gets about a second
- Spinning takes the face off camera, and the facial identity fixed in the start image can't be held once it comes back
The second reason follows directly from the pipeline: the model only has the start image, so the face that completes the turn is a face it drew from scratch.
To be clear, we did not ban dancing. Slow side-to-side sways, head-only turns toward the camera and over-the-shoulder glances are all still in use. What went was specifically: full-body spins, jumps and fast shaking.
Counting beats didn't catch the spins
If too many beats is the problem, cap the beats. So we set a hard limit: at most 3 beat changes per clip. Then we found something we hadn't expected:
- 5 of the 6 banned motions contained no `then` at all
- "Spin, hair flares, land facing camera, laugh" had been written as one comma-separated action
By the counter's logic, these were zero-beat, calm motions.
The cap actually changed only 1.0% of clips, and the average barely moved.
What worked was not the cap. It was identifying the fast motions by name and removing them, and rewriting instructions to drop repetition like "repeats the wave once more" so each motion is one clear action. The cap stays, but only as a safety net for extreme cases that slip through.
Failure 2: hand to mouth (3)
These three were removed for meaning, not speed.
| Banned motion | What the instruction asked for |
|---|---|
| Laugh, hand to mouth | A sudden small laugh, a glance away with a hand to her mouth, then back to camera |
| Surprise turning to laughter | Eyes widen in surprise, then a real laugh, one hand near her mouth |
| Startled fingertips to lips | Fingertips rise to the lips in a startled gesture and stay there |
The verdict in review: you can't tell whether she's surprised or laughing.
In a still photo, a hand over a smiling mouth reads naturally. In five seconds of video, the moment the hand comes up could be surprise, laughter or embarrassment — and the clip ends before it resolves into any of them.
This is often misread, so: hands near the face are not banned. Motions still in use include:
- Blowing a kiss — kept deliberately, because its intent is unambiguous and the ban's reason doesn't apply
- Peace signs and finger hearts
- Covering the face with both hands and peeking through the fingers
- Resting a hand on the cheek with a head tilt
The test isn't "is the hand close to the face?" It's "after five seconds, can a viewer name what the gesture means?"
Failure 3: a thoughtful finger on the lip (1)
Two days after the hand-to-mouth ban, one more motion went for the same reason.
| Banned motion | What the instruction asked for |
|---|---|
| Thoughtful finger to lip | Fingers touch the lower lip for a beat, eyes drift aside, then return |
The recorded reason matches the first group: in a five-second clip, a finger brought to the mouth becomes a picture of someone doing something unclear. A "thinking" pose that works in a photograph simply didn't read as thinking in motion.
A lesson in scope: the first ban targeted hands going to the mouth in surprise or laughter, so a thoughtful finger on the lip was left out. Different situation, same reason it fails. Define a ban by the reason you're banning, not by what the gesture looks like or when it happens, or the same failure survives in a different shape.
In its place we use a sideways glance that drifts back slowly, and a dreamy chin-on-hand pose.
Failures we fixed by rewriting, not banning
Some failures didn't need a motion removed — just a different way of writing the instruction. If you generate your own clips, these may be the most useful part of this page.
| How it was written | What happened | The fix |
|---|---|---|
| Cheeks gradually flush mid-clip | Pink color blotches | Never describe color changing over time |
| Negations like "without smiling" | The negation is lost; she smiles more | Write the positive: "lips closed, calm expression" |
| A standing motion chained to a seated one | The model tries to satisfy both and blends them into an unnatural pose | Keep both chained motions in the same posture |
| Clothing moving with no hand moving it | Invites fabric melting or passing through the body | Write the hand first, then have the hand move the garment |
| "Repeats it once more" | The same action twice in five seconds, so it runs fast | Collapse it into a single action |
Posture conflicts turned up when we machine-generated 3,000 motion specifications as a test: 11.0% (330) contained incompatible postures. We fixed the selection step to align postures — and 6 (0.2%) still slipped through.
The cause: a later stage recombined the selected motions with results from a separate draw. Every part was correct; the assembly broke it.
Validate the final instruction that actually reaches the model, not the intermediate parts. We now also run an automated test on every selectable motion to confirm none contains a negation.
Not broken, still a failure: everyone is smiling
Separate from the ban list, a recount of the motion library turned up a different problem.
As of August 2026, 111 of 246 motions (45%) involved smiling or laughing. Among the general-purpose motions we use most, it was 33 of 37 (89%). Wistful expressions? Just 2.
No single clip had anything wrong with it. But lined up in a feed, every character was smiling the same smile. Individual videos fine; the site as a whole, monotonous.
The fix wasn't rewriting existing motions. It was adding options that don't smile:
- One slow breath, shoulders settle, a calm steady look at the camera
- A gaze that drifts aside as if thinking, then returns unhurried
- Eyes closed for a beat as the air moves her hair
- A small head tilt, as if listening to something off camera
We chose not to rewrite because it would have changed the look of clips already approved and published. When you want to shift a ratio, adding choices is far more predictable than editing the ones you have.
A checklist for your own 5-second AI clips
Here is everything above, condensed into a checklist for image-to-video generation. We verified it on 5-second Wan 2.2 clips, but the reasoning is about clip length and human viewers, so it should carry over to other short-form models.
- Three beat changes at most in five seconds — one or two is better
- Count comma-joined actions too. "Spins, stops, laughs" is three actions with no
thenin sight - Avoid full-body spins, jumps and fast shaking. Turn the head or shoulders instead
- Keep the face in roughly the start image's orientation. A face that leaves the frame gets redrawn
- Bring hands to the face only for gestures with one clear meaning — a wave, a peace sign, hiding behind both hands. Skip hand-to-mouth and finger-to-lip
- Don't write "repeats" or "several times"
- Don't write negations. Describe the opposite state in positive terms
- Don't ask for color to change during the clip
- When chaining two motions, keep the posture the same
- Keep instructions short. We cut the median video-stage prompt from 799 to 576 characters
One last point: no amount of prompt hygiene replaces a human looking at every clip before it goes live. Every ban on this page came from a person watching a video and deciding it wasn't usable.
How we ban: disable, don't delete
None of the 10 banned motions in this article were deleted. Their definitions stay in the library; the selection step simply rejects them every time.
Three reasons for doing it this way:
- Re-enabling is a one-line change. If a future model renders spins cleanly, we can re-test and restore
- The reason for each ban sits right next to the motion in the code
- When and why each ban happened stays traceable
Every number in this article was recounted from that record. The dates are there too: the three hand-to-mouth motions, the six spin/hop/choreography motions and the finger-on-lip motion were added on three consecutive days in late August 2026.
What we have not tested is whether spins work when described as slow. We chose to drop the fast motions and keep gentle sways instead, so we can't honestly claim that a spin is impossible however it's written.
Characters in the cast
FAQ
Why do spins so often break in AI videos?
We recorded two reasons. In a five-second clip a spin has very little time, so it looks too fast. And turning takes the face off camera, so the face that comes back can't be held to the start image's identity. This comes from reviewing real outputs and rejections; we haven't verified the model's internal mechanism.
Do hands near the face always glitch?
No. What we banned were gestures like hand-to-mouth and fingers-on-lips that don't resolve into one meaning within five seconds. Waves, peace signs, hiding behind both hands and blowing a kiss are all still in use. None of the 10 bans in this article were made because of finger or hand rendering errors.
How many actions fit in a 5-second AI video?
We cap it at three beat changes per clip. In our review data, rejection rates were 44% with zero changes, 52% with one and 62% with two. Beware that comma-joined actions look like zero beats to a simple counter, so count the actual actions by eye.
Couldn't you fix these with better prompts instead of banning them?
We tried capping the number of beats, and it affected only 1.0% of clips. We have not tested describing spins as slow; we chose to drop fast motions and keep gentle sways. The definitions were never deleted, so they can be re-tested and restored if models improve.
Can I prevent a motion by writing "don't do X"?
No. The negation gets lost — writing "without smiling" pushed our clips toward smiling. Describe the state you want in positive terms, such as "lips closed, calm expression". We run an automated check that no selectable motion contains a negation.
Does this apply to video models other than Wan 2.2?
We have only measured roughly five-second, image-to-video clips from Wan 2.2. That overpacked clips look rushed and ambiguous gestures don't read are about clip length and human viewers, so we expect them to carry over, but we haven't measured other models.
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