SteadyDancer is a 14B-parameter human image animation framework that transforms static images into coherent dance videos. Features first-frame preservation, robust identity consistency, and temporal coherence for realistic motion generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Boşta
$0.2çalıştırma başına·~50 / $10
Steady Dancer is WaveSpeedAI’s motion-transfer model: you upload a character image and a driving video, and it generates a new clip where your character follows the motion from the video while keeping a stable face, outfit, and overall identity. Ideal for dance edits, cosplay previews, and social short-form content.
SteadyDancer is a 14-billion parameter human image animation framework that converts static images into coherent dance motion videos. Built on diffusion models, it uses an Image-to-Video paradigm with key innovations for high-quality animation.
-1 for random; any other integer for reproducible results.Pricing is based on video length, resolution, and billed in 5-second blocks, with:
Effective rates:
| Resolution | Effective price per second | 5 s clip | 10 s clip | 60 s clip | 120 s clip (cap) |
|---|---|---|---|---|---|
| 480p | ≈ $0.04 / s | $0.20 | $0.40 | $2.40 | $4.80 |
| 720p | ≈ $0.08 / s (×2) | $0.40 | $0.80 | $4.80 | $9.60 |
Internally, the system:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/steady-dancer with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Steady Dancer below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/steady-dancer" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"video": "https://example.com/your-input.mp4",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "480p",
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/steady-dancer", {
"image": "https://example.com/your-input.jpg",
"video": "https://example.com/your-input.mp4",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "480p",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/steady-dancer",
{
"image": "https://example.com/your-input.jpg",
"video": "https://example.com/your-input.mp4",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "480p",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputSteady Dancer is a WaveSpeedAI model for pose / motion driven video, exposed as a REST API on WaveSpeedAI. SteadyDancer is a 14B-parameter human image animation framework that transforms static images into coherent dance videos. Features first-frame preservation, robust identity consistency, and temporal coherence for realistic motion generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/steady-dancer.
Steady Dancer starts at $0.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `video`, `resolution`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/steady-dancer.
Average end-to-end generation time on WaveSpeedAI is around 160 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.