SCAIL enables high-fidelity character animation using reference images. It handles large motion variations, stylized characters, and multi-character interactions without explicit per-frame structural guidance. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Idle
$0.2per run·~50 / $10
SCAIL (Studio-Grade Character Animation with In-context Learning) is an open-source framework enabling high-fidelity character animation across diverse and challenging conditions. Unlike traditional methods, it handles large motion variations, stylized characters, and multi-character interactions without explicit per-frame structural guidance.
Diverse Character Support Works with realistic humans, stylized characters, and anime — despite minimal anime training data.
Large Motion Handling Handles challenging motions like flipping and turning that break traditional pose-based methods.
Multi-Character Interactions Performs spatiotemporal reasoning across entire motion sequences for complex multi-character scenes.
Identity Preservation Uses 3D-consistent pose representations to prevent identity leakage while retaining rich motion details.
Easy Setup Works with a single reference image and a driving video — no complex preprocessing required.
| Resolution | Price per 5s | Price per second | Max Length |
|---|---|---|---|
| 480p | $0.20 | $0.04 / s | 120 s |
| 720p | $0.40 | $0.08 / s | 120 s |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/scail 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 Scail below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/scail" \
-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/scail", {
"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/scail",
{
"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 outputScail is a WaveSpeedAI model for pose / motion driven video, exposed as a REST API on WaveSpeedAI. SCAIL enables high-fidelity character animation using reference images. It handles large motion variations, stylized characters, and multi-character interactions without explicit per-frame structural guidance. Ready-to-use REST inference API, 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/scail.
Scail 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/scail.
Average end-to-end generation time on WaveSpeedAI is around 244 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.