IBB666/IBB_POSE

Pose的comfyui节点

0

stars

32

commits

Python

primary language

Apr 22, 2026

updated

README

IBB_POSE — ComfyUI Pose Estimation Node

A ComfyUI custom node for robust human pose estimation.
Inspired by SDPose-OOD.

Compatibility: Python 3.13 · torch 2.10+ · CUDA 12/13 · ComfyUI Portable


Features

FeatureDetails
Skeleton typesBody (17 kpts COCO), OpenPose (18 kpts), WholeBody (133 kpts)
Detection modesSingle person · Multi-person
OutputPose image · OpenPose JSON · Both
Auto-downloadModels fetched automatically on first use
CompatibilityPython 3.13, torch 2.x, CUDA 12/13, CPU

Installation

  1. Clone into your ComfyUI/custom_nodes/ directory:
    cd ComfyUI/custom_nodes
    git clone https://github.com/IBB666/IBB_POSE
    
  2. Install base dependencies:
    cd IBB_POSE
    pip install -r requirements.txt
    
  3. Install only the backend you plan to use:
    # Choose ONE backend path based on your workflow / hardware:
    
    # Body / OpenPose
    pip install ultralytics
    
    # WholeBody (CPU)
    pip install onnxruntime
    
    # WholeBody (GPU, optional replacement for CPU package)
    # python -m pip uninstall -y onnxruntime
    # pip install onnxruntime-gpu
    
  4. Start ComfyUI – models download automatically on first use.

Windows / ComfyUI install note

  • IBB_POSE no longer requires groundingdino-py, chumpy or huggingface_hub during node installation.
  • If your embedded ComfyUI Python had previous failed installs cached, remove those partial packages before retrying, for example. Only do this if you know other nodes do not rely on those packages:
    python -m pip uninstall -y groundingdino-py chumpy huggingface_hub
    python -m pip cache purge
    
  • The node now keeps heavy pose backends optional and only imports them when the selected mode needs them.
  • The ComfyUI runtime no longer needs the OpenMMLab stack just to load the SDPose decoder. mmpose / mmcv / mmengine are only needed for the standalone evaluation scripts under /eval.

Manual model placement

ModeModelDestination
Body / OpenPoseyolo11n-pose.pt (small), yolo11m-pose.pt (medium), yolo11x-pose.pt (large)ComfyUI/models/IBB_POSE/
WholeBodydw-ll_ucoco_384.onnx + yolox_l.onnxComfyUI/models/IBB_POSE/

WholeBody models: yzd-v/DWPose


Nodes

IBB Pose — Load Model

Loads and caches the pose estimation model.

ParameterOptionsDescription
skeleton_typeBody / WholeBody / OpenPosePose skeleton format
model_sizesmall / medium / largeModel size / accuracy tradeoff
deviceauto / cuda / cpuInference device
precisionfp32 / fp16 / bf16Numeric precision (fp32 for CPU)
auto_downloadTrue / FalseFetch model files automatically

Output: IBB_POSE_MODEL


IBB Pose — Run Estimation

Runs pose estimation on one or more images.

ParameterOptionsDescription
ibb_pose_modelIBB_POSE_MODELModel from Load node
imageIMAGEInput image(s)
detection_modesingle / multiPerson detection strategy
output_typePoseImage / JSON / BothWhat to compute
score_threshold0.05–0.95Minimum keypoint confidence
overlay_alpha0.0–1.00=original, 1=pure pose map
pose_scale0.1–5.0Line / dot thickness multiplier
keep_faceboolInclude face keypoints (WholeBody)
keep_handsboolInclude hand keypoints (WholeBody)
keep_feetboolInclude foot keypoints (WholeBody)
save_jsonboolSave JSON to ComfyUI/output/
filename_prefixstringOutput JSON file prefix

Outputs: pose_image (IMAGE) · pose_json (STRING)


IBB Pose — JSON to Image

模型目录

  • SDPose 模型:ComfyUI/models/IBB_POSE/
  • YOLO 模型:ComfyUI/models/yolo/
  • GroundingDINO 模型:ComfyUI/models/grounding-dino/

首次运行时会自动下载以下资源:

  • teemosliang/SDPose-Body
  • teemosliang/SDPose-Wholebody
  • GroundingDINO 配置和权重

仓库已内置 empty_text_encoder/empty_embedding.safetensors,也保留了 generate_empty_embedding.py 以便重新生成。

工作流

示例工作流位于:

  • /workflow/ibb_pose.json

兼容说明

  • 依赖 ComfyUI 的 folder_paths / model_management
  • Florence2 检测为可选能力,需要额外安装对应 ComfyUI 节点
  • OpenPose 编辑 JSON 可与 ComfyUI-OpenPose-Editor-jd 配合使用

致谢

  • 上游实现:judian17/ComfyUI-SDPose-OOD
  • 原始项目:T-S-Liang/SDPose-OOD

Contributors

Copilot

23 commits

kukulu00

9 commits

IBB666/IBB_POSE

Pose的comfyui节点

0

stars

32

commits

Python

primary language

Apr 22, 2026

updated

README

IBB_POSE — ComfyUI Pose Estimation Node

A ComfyUI custom node for robust human pose estimation.
Inspired by SDPose-OOD.

Compatibility: Python 3.13 · torch 2.10+ · CUDA 12/13 · ComfyUI Portable


Features

FeatureDetails
Skeleton typesBody (17 kpts COCO), OpenPose (18 kpts), WholeBody (133 kpts)
Detection modesSingle person · Multi-person
OutputPose image · OpenPose JSON · Both
Auto-downloadModels fetched automatically on first use
CompatibilityPython 3.13, torch 2.x, CUDA 12/13, CPU

Installation

  1. Clone into your ComfyUI/custom_nodes/ directory:
    cd ComfyUI/custom_nodes
    git clone https://github.com/IBB666/IBB_POSE
    
  2. Install base dependencies:
    cd IBB_POSE
    pip install -r requirements.txt
    
  3. Install only the backend you plan to use:
    # Choose ONE backend path based on your workflow / hardware:
    
    # Body / OpenPose
    pip install ultralytics
    
    # WholeBody (CPU)
    pip install onnxruntime
    
    # WholeBody (GPU, optional replacement for CPU package)
    # python -m pip uninstall -y onnxruntime
    # pip install onnxruntime-gpu
    
  4. Start ComfyUI – models download automatically on first use.

Windows / ComfyUI install note

  • IBB_POSE no longer requires groundingdino-py, chumpy or huggingface_hub during node installation.
  • If your embedded ComfyUI Python had previous failed installs cached, remove those partial packages before retrying, for example. Only do this if you know other nodes do not rely on those packages:
    python -m pip uninstall -y groundingdino-py chumpy huggingface_hub
    python -m pip cache purge
    
  • The node now keeps heavy pose backends optional and only imports them when the selected mode needs them.
  • The ComfyUI runtime no longer needs the OpenMMLab stack just to load the SDPose decoder. mmpose / mmcv / mmengine are only needed for the standalone evaluation scripts under /eval.

Manual model placement

ModeModelDestination
Body / OpenPoseyolo11n-pose.pt (small), yolo11m-pose.pt (medium), yolo11x-pose.pt (large)ComfyUI/models/IBB_POSE/
WholeBodydw-ll_ucoco_384.onnx + yolox_l.onnxComfyUI/models/IBB_POSE/

WholeBody models: yzd-v/DWPose


Nodes

IBB Pose — Load Model

Loads and caches the pose estimation model.

ParameterOptionsDescription
skeleton_typeBody / WholeBody / OpenPosePose skeleton format
model_sizesmall / medium / largeModel size / accuracy tradeoff
deviceauto / cuda / cpuInference device
precisionfp32 / fp16 / bf16Numeric precision (fp32 for CPU)
auto_downloadTrue / FalseFetch model files automatically

Output: IBB_POSE_MODEL


IBB Pose — Run Estimation

Runs pose estimation on one or more images.

ParameterOptionsDescription
ibb_pose_modelIBB_POSE_MODELModel from Load node
imageIMAGEInput image(s)
detection_modesingle / multiPerson detection strategy
output_typePoseImage / JSON / BothWhat to compute
score_threshold0.05–0.95Minimum keypoint confidence
overlay_alpha0.0–1.00=original, 1=pure pose map
pose_scale0.1–5.0Line / dot thickness multiplier
keep_faceboolInclude face keypoints (WholeBody)
keep_handsboolInclude hand keypoints (WholeBody)
keep_feetboolInclude foot keypoints (WholeBody)
save_jsonboolSave JSON to ComfyUI/output/
filename_prefixstringOutput JSON file prefix

Outputs: pose_image (IMAGE) · pose_json (STRING)


IBB Pose — JSON to Image

模型目录

  • SDPose 模型:ComfyUI/models/IBB_POSE/
  • YOLO 模型:ComfyUI/models/yolo/
  • GroundingDINO 模型:ComfyUI/models/grounding-dino/

首次运行时会自动下载以下资源:

  • teemosliang/SDPose-Body
  • teemosliang/SDPose-Wholebody
  • GroundingDINO 配置和权重

仓库已内置 empty_text_encoder/empty_embedding.safetensors,也保留了 generate_empty_embedding.py 以便重新生成。

工作流

示例工作流位于:

  • /workflow/ibb_pose.json

兼容说明

  • 依赖 ComfyUI 的 folder_paths / model_management
  • Florence2 检测为可选能力,需要额外安装对应 ComfyUI 节点
  • OpenPose 编辑 JSON 可与 ComfyUI-OpenPose-Editor-jd 配合使用

致谢

  • 上游实现:judian17/ComfyUI-SDPose-OOD
  • 原始项目:T-S-Liang/SDPose-OOD

Contributors

Copilot

23 commits

kukulu00

9 commits

Languages

Python

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