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:
- Converted from
.ckptto safetensors, so loading does not unpickle. - Dropped the
rcnn.*Detectron2 R101 keypoint branch from the pose checkpoint (313 MB), which the node never loads β torchvision'skeypointrcnn_resnet50_fpnstands 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.