ComfyUI-AnimePose β€” weights

Weight files for the 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 β€” 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 β€” torchvision's keypointrcnn_resnet50_fpn stands in for it. 351 MB β†’ 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:

@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.

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