ComfyUI Roop Custom Nodes

Custom nodes for ComfyUI to enable face swapping using the Roop library.

Features

• Face swap between two images
• Optional face enhancement
• Batch image folder processing
• Face swap for videos
• Webhook sender for images (tensor) or file paths
• Auto-increment filenames to prevent overwriting

Node Descriptions

RoopFaceSwap

• Basic face swap using source and target image tensors
• Returns a single swapped image tensor

RoopFaceSwapWithEnhancer

• Like RoopFaceSwap but also runs a face enhancer after swapping
• Useful for improving visual quality

RoopBatchFaceSwap

• Takes a source image and a folder of input images
• Applies face swap to each and saves results to an output folder
• Supports enhancement and multi-face mode

RoopFaceSwapVideo

• Swaps a face from an image into a video file
• Keeps original FPS and frames
• Saves a new video file

RoopSendWebhookImage

• Sends an image tensor to a webhook URL
• Accepts optional secret for HMAC verification
• Ideal for live image results

RoopSendWebhookFile

• Sends a file path (e.g. video or saved image) to a webhook
• Supports HMAC-secured sending
• Useful for post-processing delivery

Requirements

• Python 3.8+
• torch
• torchvision
• Pillow (PIL)
• requests
• roop (clone from GitHub)

Installation

1. Clone this repo into your ComfyUI custom nodes folder:

   git clone https://github.com/glitchinthemetrix16/ComfyUI-Roop

2. Install required Python packages:

   pip install torch torchvision pillow requests

3. Clone the roop repo for Google Colab Environment:

   git clone https://github.com/FurkanGozukara/roop /content/roop

4. Ensure that run.py exists in /content/roop

Installation For Google Colab With T4 GPU (Tested and working)

%cd /content/

!git clone https://github.com/FurkanGozukara/roop
%cd roop

#Tested and updated 23 August 2023 commit
#!git checkout da1ef285f1d43bd0cc8b9cdb9a0f80f7ae793a97
!pip install onnxruntime-gpu && pip install -r requirements.txt
!pip install onnxruntime-gpu --upgrade
!apt-get update --yes
!apt install nvidia-cuda-toolkit --yes
!pip install opennsfw2 keras --upgrade
!pip install numpy==1.26.4

Usage Notes

• All temporary files are saved inside roop_dir/temp_io
• File overwrites are avoided via auto-renaming
• Video swapping works best with shorter clips due to performance
• Webhook nodes allow sending output to remote servers or APIs