ComfyUI-Dynamicpose

Install

1. Clone this repo into the Your ComfyUI root directory\ComfyUI\custom_nodes\ and install dependent Python packages:

   cd Your_ComfyUI_root_directory\ComfyUI\custom_nodes\
   
   git clone https://github.com/Bin-sam/DynamicPose-ComfyUI.git
   
   pip install -r requirements.txt
   

2. Download pre-trained models:
   • stable-diffusion-v1-5_unet
   • Moore-AnimateAnyone Pre-trained Models
   • DWpose model download links are under title "DWPose for ControlNet".
   • Above models need to be put under folder pretrained_weights as follow:

   ./pretrained_weights/
   |-- denoising_unet.pth
   |-- motion_module.pth
   |-- pose_guider.pth
   |-- reference_unet.pth
   |-- rtmpose
       |   |-- rtmw-x_simcc-cocktail14_pt-ucoco_270e-384x288-f840f204_20231122.pth
       |   |-- rtmw-x_8xb320-270e_cocktail14-384x288.py
       |   |-- rtmdet_m_640-8xb32_coco-person.py
       |   |-- rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth
       |   |-- rtmpose-x_8xb256-700e_coco-384x288.py
       |   |-- rtmpose-x_simcc-body7_pt-body7_700e-384x288-71d7b7e9_20230629.pth
   |-- DWPose
       |   |-- dw-ll_ucoco_384.onnx
       |   |-- yolox_l.onnx
   

   • Download clip image encoder (e.g. sd-image-variations-diffusers ) and put it under Your_ComfyUI_root_directory\ComfyUI\models\clip_vision
   • Download vae (e.g. sd-vae-ft-mse) and put it under Your_ComfyUI_root_directory\ComfyUI\models\vae
   • Download stable-diffusion-v1-5 (e.g. stable-diffusion-v1-5) and put it under Your_ComfyUI_root_directory\ComfyUI\models\diffusers

Usage

1. Using pipeline examples <br> this workflow is Pose_to_video