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Scail

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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.

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Idle

$0.2per run·~50 / $10

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README

SCAIL — Studio-Grade Character Animation

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.

Key Features

  • 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.

Pricing

ResolutionPrice per 5sPrice per secondMax Length
480p$0.20$0.04 / s120 s
720p$0.40$0.08 / s120 s

Billing Rules

  • Minimum charge: 5 seconds — any video shorter than 5 seconds is billed as 5 seconds.
  • Maximum billed duration: 120 seconds (2 minutes)

How to Use

  1. Upload image — A clear reference image of the character (recommended formats: JPG / PNG, avoid WEBP).
  2. Upload video — The motion source; SCAIL extracts pose and motion dynamics from this clip.
  3. Add prompt (optional) — Guide the output with descriptive text. Long, detailed prompts work best.
  4. Select resolution — Choose between 480p or 720p.
  5. Generate — Wait while SCAIL processes the animation.
  6. Review & Iterate — Fix a seed to reproduce results, or vary it for different outputs.

Tips for Best Results

  • Use Detailed Prompts: SCAIL benefits from long, descriptive prompts for optimal results.
  • Match Pose & Composition: Keep your reference image's camera angle and framing close to the target video.
  • Keep Aspect Ratios Consistent: Use the same aspect ratio between your input image and video.
  • Experiment with Stylized Content: The model handles anime and stylized characters surprisingly well.
  • Multi-Character Scenes: SCAIL can handle complex multi-character interactions.
Accessibility:This website uses AI models provided by third parties.

Scail API — Quick start

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.

HTTP example
# 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].
Node.js example
// 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
Python example
# 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 output

Scail API — Frequently asked questions

What is the Scail API?

Scail 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.

How do I call the Scail API?

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.

How much does Scail cost per run?

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.

What inputs does Scail accept?

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.

How long does Scail take to generate?

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.

Can I use Scail outputs commercially?

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.