Seedance 2.0 Dance Videos: What the Model Does for You
How Seedance 2.0 renders a dance from one photo, what each setting changes on screen, the limits of the standard tier, and why the studio sells a single tier.

Wipe Me Down AI does not train its own model. It sends your photo or prompt to a hosted video model called Seedance 2.0 and returns what comes back. Knowing that explains most of the product's behaviour — why a clean reference photo keeps the subject's face, why one continuous action reads better than a routine, and why the studio can publish a fixed price per render. This page is the technical explainer behind the tool; if you would rather just make a clip, the studio is one click away.
Upload one photo and the subject in it performs the movement, keeping the face, hair and body from your picture.
This clip: 26 credits · 7 clips a month on Pro for $39.90, or 92 a year for $319
What Seedance 2.0 is in this context
Seedance 2.0 is a video generation model from ByteDance. In this studio it is used at its standard tier, served through kie.ai, under the model id bytedance/seedance-2. What that means practically is that Wipe Me Down AI is not training its own model, and it is not wrapping a queue of someone else's filters. It sends your input to a hosted version of ByteDance's video model and returns what comes back.
Two consequences follow. First, the model's strengths and limits are the product's strengths and limits — nothing here can fabricate motion the model cannot produce. Second, because the model is rented rather than trained, every render has a real provider cost, which is why credits are metered and why there is no uncapped tier.
What Seedance 2.0 does well for dance
Dance is a demanding thing to ask a video model for, because it needs one continuous full-body action to stay coherent for several seconds. Three properties of the model suit it.
It conditions on a reference image. The subject's face, hair and general appearance carry into the generated motion rather than being re-invented. That is what makes photo mode possible at all.
It holds one continuous shot. No cuts means no seams, and no seams means no warped frames mid-movement. A single dance beat plays through instead of being interrupted.
It responds to plain language direction. Camera behaviour, light direction and the action itself can be described in a sentence, which is what the four looks are built on — see the prompt guide for how to write one.
The specification, and what each value means for a clip
The table below lists the values this studio exposes and translates each one into what it changes on screen.
| Setting | Options | What it changes | Cost at 12s | | ---------- | ----------------- | ------------------------------------- | -------------------- | | Resolution | 480p, 720p, 1080p | Detail in the export | 12, 26 or 64 credits | | Length | 5s, 8s, 10s, 12s | How much of the step fits in the clip | Scales with length | | Frame | 9:16, 16:9, 1:1 | The crop the feed will show | No change |
The provider's range is 4 to 15 seconds, and the four offered lengths sit inside it. Cost is the twelve-second figure multiplied by the length and divided by twelve, then rounded up to a whole credit, so a longer clip is not a different tier — it is the same arithmetic with a bigger number.
The limits of the standard tier
Every tier has edges, and knowing them saves wasted renders.
- One shot, no editing. The model generates a continuous clip. It does not cut, transition or assemble a sequence, so anything needing an edit belongs in your editor afterwards.
- No video input. A still image, a text description, or both — but never a reference clip, which rules out motion transfer.
- No face swap. The model animates the subject you supply; it does not substitute a different person's face.
- Motion budget is finite. A clip that asks for three movements spreads the same effort across all three and usually drops one. One action, done properly, reads better.
How the four looks map onto the model
The studio's four looks — Classic bounce, Hype, Smooth groove and Cute — are ways of steering the same model rather than four different models. Each one biases the action and the feel of the generated motion.
| Look | What it biases toward | | ------------------ | ------------------------------------------------------------- | | Classic bounce | A grounded two-step, locked-off camera, even light | | Hype | Sharp, fast accents, a pushing camera, harder light | | Smooth groove | Slow weight shifts, a drifting camera, soft directional light | | Cute | Small in-place hops, a high static camera, bright flat light |
They cost the same as an empty prompt at the same settings, because they are text, not a feature tier. Selecting one and adding a single correcting clause is the fastest route to a usable clip; contradicting one with your own words usually makes both behave worse.
Why the studio only offers the standard tier
Offering a single tier keeps the price legible. Instead of a grid of hidden modes, you get one default render — Standard · 720p · 12s for 26 credits — and a small set of alternatives around it: 480p at 12 credits and 1080p at 64, with length scaling from the twelve-second table and rounding up to a whole credit. A model sold to you in tiers you cannot evaluate is a model you cannot budget for, so this studio publishes one price per clip and shows it before you press Generate.
The free-credit picture is equally specific: an email account starts at 0 credits, and no credits can be earned here today — the intended rule is a Google-linked account claiming 10 credits a day for up to three days (30 in total), but Google sign-in is not offered yet. The one genuinely free render is the 480p · 5s preview, granted to an account whose balance cannot cover what it asked for.
How to write for the model
Writing for Seedance 2.0 is not the same as writing for a chat model, because the model only acts on what is physically visible in the output frame. Describe the subject, the action and the setting, and leave the mood adjectives for your caption. Five clauses — subject, one action, camera, light, and an identity lock that keeps the face, hair and body as supplied — cover almost every clip.
Two things follow from "only what is visible". First, a prompt that names an abstract quality such as "viral" or "emotional" gives the model nothing to draw; a light direction and a camera move give it everything. Second, an instruction the model cannot render — on-screen text, a crowd, a costume change — is either ignored or rendered badly, so deleting it is better than hoping.
Frequently asked questions
Do I need to understand the model to use the studio?
No. You choose a photo or type a description, pick a look, and generate. The model matters because it explains the output — why a clean reference photo keeps the subject's face, and why the motion stays coherent — not because you need to configure it.
Why is the model served through kie.ai rather than directly?
The studio runs bytedance/seedance-2 through kie.ai's hosted service, which keeps the render pipeline consistent and means you are always getting the same version of the standard tier rather than whatever happens to be live elsewhere.
Can the model take my video and make my pet do this dance?
No. There is no video input, so a clip of a real performance cannot be transferred onto your subject. Photo mode animates a still image, and text mode generates from words. Every render is a new AI performance rather than a copy of existing footage.
Does a higher resolution change how well the model keeps the identity?
It changes how cleanly the result reads rather than how the identity is anchored. The reference image does the anchoring; the resolution decides how much detail survives to the export. That is why rendering once at the default 720p before paying for 1080p is the sensible order.
Is the model the same for a pet as it is for a person?
Yes. The same standard tier handles both, and the same rule applies: a clean single-subject reference image gives the best anchoring. A pet is simply a subject whose identity shows up in fur pattern, ear shape and face, rather than in human features.