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README.md

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+---
+license: agpl-3.0
+tags:
+  - pose-estimation
+  - comfyui
+  - anime
+library_name: pytorch
+---
+
+# ComfyUI-AnimePose — weights
+
+Weight files for the [ComfyUI-AnimePose](https://github.com/dalai2/ComfyUI-AnimePose)
+custom node. The node downloads them automatically on first run; you do not
+need to fetch them by hand.
+
+| File | Size | What it is |
+|---|---|---|
+| `anime_pose_head.safetensors` | 37.5 MB | ResNet backbone + keypoint head |
+| `character_bg_seg.safetensors` | 233 MB | Character/background segmenter |
+
+## Provenance
+
+These are **a repackaging of someone else's released checkpoints**, not newly
+trained weights. The source is:
+
+> **bizarre-pose-estimator** — https://github.com/ShuhongChen/bizarre-pose-estimator
+> Copyright (c) Shuhong Chen and Matthias Zwicker, AGPL-3.0
+
+Two changes were made, both mechanical:
+
+1. Converted from `.ckpt` to safetensors, so loading does not unpickle.
+2. Dropped the `rcnn.*` Detectron2 R101 keypoint branch from the pose
+   checkpoint (313 MB), which the node never loads — torchvision's
+   `keypointrcnn_resnet50_fpn` stands in for it. 351 MB → 37.5 MB.
+
+No tensor was retrained, fine-tuned, quantized or otherwise altered.
+`scripts/verify_weights.py` in the node repo checks that claim
+tensor-by-tensor against the official release: 336/336 pose tensors and
+690/690 segmentation tensors bit-identical, 573 `rcnn.*` tensors dropped on
+purpose.
+
+## Citation
+
+If you use this, cite the original paper:
+
+```bibtex
+@inproceedings{chen2022bizarre,
+    title={Transfer Learning for Pose Estimation of Illustrated Characters},
+    author={Chen, Shuhong and Zwicker, Matthias},
+    booktitle={Proceedings of the IEEE/CVF Winter Conference on
+               Applications of Computer Vision},
+    year={2022}
+}
+```
+
+## License
+
+AGPL-3.0, inherited from the upstream work. Anything derived from these
+weights is AGPL-3.0 too. In particular, AGPL section 13 requires that if you
+run this as part of a network service, you offer the corresponding source to
+the users of that service.