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SCAIL-2 is an open-source model for end-to-end controlled character animation. It animates a reference character with a driving video, and also supports character replacement and multi-character scenarios without relying on intermediate pose representations.
Prior approaches to character animation depend heavily on intermediate representations such as skeleton maps or inpainting masks. These intermediates are ambiguous under complex motion, restrict driving sources to human movements, and limit the reach of replacement and multi-character animation.
SCAIL-2 removes this dependence and achieve End-to-end Driving. Using several off-the-shelf models (SCAIL-Preview, Wan-Animate, MoCha), 60K motion pairs were synthesized and trained through a Unified Motion Transfer Interface with dedicated masking channels and RoPE design. The reverse driving training recipe with the unification lets the model learn capabilities beyond its teacher models, yielding emergent abilities such as:
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Inference code, environment setup, and detailed instructions are provided in the project repository. Please refer to the Project Page and the code repo for how to run the model.
SCAIL-2/βββ Wan2.1_VAE.pthβββ modelβ βββ 1β β βββ fsdp2_rank_0000_checkpoint.ptβ βββ latestβββ umt5-xxl βββ ...@misc{yan2026scail2, title={SCAIL-2: Unifying Controlled Character Animation with End-to-end In-Context Conditioning}, author={Wenhao Yan and Fengjia Guo and Zhuoyi Yang and Jie Tang}, year={2026}, eprint={2606.10804}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2606.10804}, }