--- license: mit --- **Quantized GGUF version of SCAIL-Preview.** **Original model link:** [https://huggingface.co/zai-org/SCAIL-Preview](https://huggingface.co/zai-org/SCAIL-Preview) **Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai) # SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
This repository contains the model weights for **SCAIL (Studio-Grade Character Animation via In-Context Learning)**, a framework that enables high-fidelity character animation under diverse and challenging conditions, including large motion variations, stylized characters, and multi-character interactions. ## 🔎 Project Page Check our model architecture design, our video demo, as well as more comparisons against other baselines at [this link](https://teal024.github.io/SCAIL/), more creative examples will be added to the gallery soon. ## 📋 TODOs - [x] **Model Weights for Preview 14B SCAIL Model(512p)** - [ ] **Model Weights for Official 1.3B/14B SCAIL Model(720p with history support)** ## 📋 Note This repository only contains the model weights for the SCAIL model, for model inference, please refer to the [official repository](https://github.com/teal024/SCAIL-Official). For pose extraction, please refer to the [SCAIL-Pose](https://github.com/teal024/SCAIL-Pose). ## 📄 Citation If you find this work useful in your research, please cite: ```bibtex @article{yan2025scail, title={SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations}, author={Yan, Wenhao and Ye, Sheng and Yang, Zhuoyi and Teng, Jiayan and Dong, ZhenHui and Wen, Kairui and Gu, Xiaotao and Liu, Yong-Jin and Tang, Jie}, journal={arXiv preprint arXiv:2512.05905}, year={2025} } ```