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README.md

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+---
+license: other
+license_name: s-lab-1.0
+license_link: https://huggingface.co/AEmotionStudio/matanyone2/blob/main/LICENSE.txt
+tags:
+  - video-matting
+  - alpha-matting
+  - comfyui
+  - ffmpega
+---
+
+# MatAnyone2 — SafeTensors Mirror
+
+This is a **SafeTensors conversion** of the [MatAnyone2](https://github.com/pq-yang/MatAnyone2) video matting model (CVPR 2026) for use with [ComfyUI-FFMPEGA](https://github.com/AEmotionStudio/ComfyUI-FFMPEGA).
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | MatAnyone2 (temporal video matting) |
+| Parameters | 562 tensors, ~135 MB |
+| Format | SafeTensors |
+| Original Format | PyTorch (.pth) |
+| Source | [pq-yang/MatAnyone2](https://github.com/pq-yang/MatAnyone2) |
+
+## ⚠️ License Notice
+
+This model is released under the **NTU S-Lab License 1.0** which is strictly **non-commercial**.
+
+> Redistribution and use for non-commercial purpose in source and binary forms, with or without modification, are permitted provided that the following conditions are met...
+
+See [LICENSE.txt](LICENSE.txt) for the full license text. **Commercial use requires explicit written permission from the original authors.**
+
+## Usage
+
+This model is automatically downloaded by ComfyUI-FFMPEGA when the `video_matting` no-LLM mode is selected. No manual setup is required.
+
+## Citation
+
+```bibtex
+@article{yang2025matanyone2,
+  title={MatAnyone2: Stable Video Matting with Consistent Memory Propagation},
+  author={Yang, Peiqing and Shang, Shangchen and others},
+  year={2025}
+}
+```