Scail
Playground
Try it 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.
Features
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
| 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 |
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
- Upload image — A clear reference image of the character (recommended formats: JPG / PNG, avoid WEBP).
- Upload video — The motion source; SCAIL extracts pose and motion dynamics from this clip.
- Add prompt (optional) — Guide the output with descriptive text. Long, detailed prompts work best.
- Select resolution — Choose between 480p or 720p.
- Generate — Wait while SCAIL processes the animation.
- 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.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/scail" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"resolution": "480p",
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image for generating the output. | |
| video | string | Yes | - | The video for generating the output. | |
| prompt | string | No | - | The positive prompt for the generation. | |
| resolution | string | No | 480p | 480p, 720p | The resolution of the output video. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |