SCAIL: Identity-Stable Animation & Motion Transfer using Playground and API | RunComfy

zai-org/scail

Generate studio-grade, identity-consistent animation from a single image and driving video with SCAIL, delivering fast 3D motion transfer, stable output, and seamless integration for creative production.

The URL of the image to use as a reference for the video generation.
The URL of the video to use as a reference for the video generation.
Idle
The rate is $0.04 per second for 480p, and $0.08 per second for 720p.

Introduction to SCAIL Character Animation

SCAIL Model converts a single reference image plus a driving video into studio-grade, identity-consistent animation starting from $0.04 per video second, outputting 480p or 720p clips up to 120 seconds with identity-preserving motion transfer. Trading manual rigging and per-frame pose cleanup for 3D-consistent, large-motion character animation, it eliminates complex masking and reshoots for animation leads, game studios, and media production teams using SCAIL on RunComfy. For developers, SCAIL on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.
Ideal for: IP-Safe Character Animation | Stylized Motion Previsualization | Game-Ready Avatar Prototyping

Examples of SCAIL in Animation Projects

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Model Overview


  • Provider: Tsinghua University / Z.ai
  • Task: video-to-video
  • Max Resolution/Duration: Up to 896x512 or 512x896; up to 120s
  • Summary: SCAIL is a specialized motion transfer model that generates studio-grade, identity-consistent character animation by transferring motion from a driving video to a single reference image. Leveraging Spatially-Constrained Adversarial Learning, it excels at preserving structural integrity during complex deformations (like spins or dances), making it particularly robust for both realistic and stylized (anime/illustration) characters where other models often suffer from identity drift.

Key Capabilities


Identity‑preserving motion transfer from a single image

  • SCAIL transfers motion from any driving video to a reference image while maintaining strong structural fidelity and character identity across frames.
  • Outputs remain stable under cross‑identity motion and challenging scenarios like turns, flips, and occlusions.

Full‑sequence temporal consistency

  • SCAIL reasons over the full motion sequence to inject pose information coherently through time.
  • This produces fewer flickers, better frame‑to‑frame consistency, and smooth motion continuity in long clips.

Robust to large motion and stylized characters

  • SCAIL handles big deformations, multi‑character interactions, and stylized domains (anime, illustrated characters) without requiring per‑frame pose skeletons.
  • The result is reliable motion adherence even when the driving video includes extreme camera or body movement.

Input Parameters


Core Inputs


ParameterTypeDefault/RangeDescription
promptstring""Optional text guidance for style, look, or minor scene details.
image_urlimage_uri""URL to the reference character image used for animation.
video_urlvideo_uri""URL to the driving video whose motion will be transferred.

Dimensions & Settings


ParameterTypeDefault/RangeDescription
resolutionstr_with_choice480p/720pOutputs is either 480p or 720p.
num_inference_stepsinteger28Higher values may improve detail and temporal stability at the cost of latency.

How SCAIL compares to other models


1. Vs Wan 2.2 Animate

The Core Difference: Structural Stability vs. Generative Fluidity

  • Motion Integrity (SCAIL Wins): SCAIL uses spatial constraints to strictly "lock" the character's body structure. Even during rapid spins, backflips, or complex dances, SCAIL rarely hallucinates extra limbs or distorts the face. In contrast, Wan 2.2 Animate is a diffusion-based generative model; while it creates beautiful lighting, it may suffer from "body morphing" or shape distortion when the driving motion is too fast or complex.
  • Background Stability: SCAIL tends to keep the background stable or static (focusing purely on the character), whereas Wan 2.2 might attempt to animate or hallucinate background movements, which can sometimes distract from the main subject.

> Verdict:

> * Choose SCAIL if: You are animating dance choreography, gymnastics, or martial arts where limb precision and body structure must not break.

> * Choose Wan 2.2 if: You need cinematic lighting and atmospheric consistency, and the movement is relatively gentle (e.g., walking, talking).


2. Vs One-to-All Animation

The Core Difference: Stylized Flexibility vs. Photorealistic Texture

  • Style Compatibility (SCAIL Wins): SCAIL is exceptionally robust with Non-Photorealistic Rendering (NPR), such as Anime, Cartoons, Oil Paintings, and Illustrations. It handles the exaggerated proportions of 2D characters better without forcing them into a realistic 3D skeleton. One-to-All (especially the 14B version) is optimized for high-fidelity realism and might struggle to map motion correctly onto a flat, stylized anime character.
  • Texture Detail (One-to-All Wins): For real human subjects, One-to-All Animation excels at preserving pore-level skin texture, fabric weaves, and realistic hair flow. SCAIL is stable but may produce slightly smoother or softer textures compared to the crisp detail of One-to-All.

> Verdict:

> * Choose SCAIL if: Your source image is Anime, illustration, or stylized art. It is the best choice for "bringing 2D art to life."

> * Choose One-to-All if: Your source image is a high-res photograph of a real person, and you need the output to look like a 4K movie clip.


API Integration


Developers can seamlessly integrate SCAIL using the RunComfy API with standard HTTP requests and JSON payloads. The API supports straightforward parameterization of prompt, media URLs, and generation settings, enabling rapid prototyping and production workflows.


Note: API Endpoint for SCAIL


Official resources and licensing


  • Official Website/Paper: https://arxiv.org/abs/2512.05905
  • Github Page: https://github.com/zai-org/SCAIL/blob/master/README.md
  • License: Not specified in the provided sources. Review the official paper and product page for terms; commercial use may require a separate agreement.

Related Playgrounds

Frequently Asked Questions

What is SCAIL video-to-video and how does it differ from typical text-to-video models?

SCAIL video-to-video is a specialized character animation model by WaveSpeed AI that focuses on animating a given reference character image using the motion from a driving video. Unlike text-to-video models that generate entirely new scenes, SCAIL ensures identity preservation and consistent animation through motion transfer, making it ideal for stylized or character-driven productions.

How does SCAIL video-to-video handle stylized characters like anime or cartoons?

SCAIL video-to-video maintains strong identity preservation even for anime or stylized characters by applying 3D-consistent pose modeling. This allows the model to transfer complex motion while retaining the character’s unique traits, unlike earlier video or image-to-video methods that often distorted identities under high-motion conditions.

What are the maximum technical limits of SCAIL video-to-video in output resolution and duration?

SCAIL video-to-video currently supports up to 720p resolution and video durations of up to 120 seconds per clip. These limits are defined by WaveSpeed AI’s current model settings and platform billing constraints on RunComfy. Higher resolutions (e.g., 1080p) are not yet available in the standard API mode.

Are there restrictions on the number of inputs or prompt length in SCAIL video-to-video?

Yes, SCAIL video-to-video accepts one reference image, one driving video, and an optional textual prompt. The prompt is typically limited to 256 tokens to ensure stable guidance. Only one ControlNet or IP-Adapter input stream is supported per generation request.

How can developers transition from experimenting with SCAIL video-to-video in the RunComfy Playground to full production via API?

To move from testing in RunComfy Playground to production use, developers can replicate their SCAIL video-to-video pipeline with the RunComfy REST API. Parameters such as reference image URL, motion video URL, and prompt text are preserved. Authentication uses an API key, and billing accrues per generated video-second. The API documentation on RunComfy mirrors the same configuration interface as the Playground.

In what ways does SCAIL video-to-video outperform older generation character animation models?

SCAIL video-to-video surpasses earlier models by removing the need for explicit pose skeletons per frame. It employs internal 3D-aware pose reasoning to maintain continuity, handles extreme actions like flips and spins, and preserves fine stylistic detail. This improves both character integrity and motion realism.

How does SCAIL video-to-video compare to competitor models like Wan 2.5 or Kling Video 2.6?

While Wan 2.5 and Kling Video 2.6 offer higher raw resolution and integrated audio, SCAIL video-to-video excels at identity consistency and lifelike motion transfer from a reference character image. It’s optimized for animating existing characters rather than generating entirely new scenes, making it preferable for anime and avatar motion tasks.

Can I commercially use SCAIL video-to-video outputs for games or animation projects?

Yes, commercial use of SCAIL video-to-video outputs is generally allowed depending on the platform license. Users should confirm rights directly with WaveSpeed AI and the host platform (like runcomfy.com), as licensing may differ between trial and paid tiers.

Does SCAIL video-to-video require manual pose adjustment or per-frame correction?

No manual per-frame correction is needed with SCAIL video-to-video. It uses internal motion understanding based on 3D-consistent pose and cross-frame attention to ensure smooth animation continuity, reducing the workload for technical artists.

What visual scenarios show the best results when using SCAIL video-to-video?

SCAIL video-to-video performs best when the reference character image is clear, well-lit, and stylistically consistent with the driving video. Scenarios involving dance, turning, or fighting motions in animated or stylized contexts yield particularly effective and expressive results.

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