Extensions/comfyui-inputswitch
ComfyUI Extension

comfyui-inputswitch

A custom node collection for ComfyUI designed to handle advanced media operations including switching between image and video inputs, face swapping, color matching, and video frame interpolation.

By bmgjet·Created 9 months ago·Updated 8 months ago· 1
bmgjet/comfyui-inputswitch
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Updated8 months ago
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ComfyUI InputSwitch Custom Node

Repository: https://github.com/bmgjet/comfyui-inputswitch

Overview

ComfyUI InputSwitch is a custom node collection for ComfyUI designed to handle advanced media operations including:

  • Switching between image and video inputs.
  • Face swapping using InsightFace.
  • Color matching across images.
  • Video frame interpolation via RIFE.
  • Device management and tensor utilities.

This node set is intended to provide flexible preprocessing and transformation utilities in ComfyUI workflows.

Features

InputSwitch

  • Automatically resizes images or videos to a specified maximum width and height.
  • Supports both single images and multi-frame videos.
  • Outputs resized media along with width, height, and frame count.

RIFE VFI

  • Performs video frame interpolation.
  • Supports multiple RIFE model versions (4.0 – 4.7).
  • Adjustable multiplier, fast mode, ensemble, and scaling options.

FaceSwapNode

  • Swap faces between a source image and target images.
  • Utilizes InsightFace with pre-trained models.
  • Optimized caching for repeated source images.

ColorMatch

  • Matches the color profile of images to a reference image.
  • Adjustable match strength.
  • GPU-accelerated with PyTorch and Kornia.

MoveToDevice

  • Utility node to move tensors to the active Torch device (CPU or CUDA).

RoundToEven

  • Rounds integers to the nearest even number.

Requirements

  • CUDA 12.8 SDK recommended (will fall back to CPU if unavailable).
  • Python 3.12 recommended. 3.13 may work.
  • Python packages (provided in requirements.txt):
torch==2.9.1
opencv-python
kornia
Cython
packaging
onnxruntime-gpu>=1.23.2
meson-python
requests

Note: Special pre-built wheels for NumPy and InsightFace are installed automatically for Windows and Linux systems.

Installation

  1. Clone this repository into your ComfyUI custom_nodes directory:
git clone https://github.com/bmgjet/comfyui-inputswitch.git

  1. Launch ComfyUI. The node will automatically install dependencies on first load via __init__.py.

  2. Restart ComfyUI once dependencies are installed.

Usage

  • InputSwitch: Connect either an image or video input. Set mode to "Image" or "Video" and specify maximum dimensions.
  • RIFE VFI: Input frames to interpolate additional frames for smooth video output.
  • FaceSwapNode: Provide a source image and target images for face swapping.
  • ColorMatch: Provide images and a reference image to match color grading.
  • MoveToDevice: Move tensors to GPU/CPU dynamically.
  • RoundToEven: Round numeric values to the nearest even integer.

Notes

  • GPU acceleration is utilized when available.
  • InsightFace and RIFE models are downloaded automatically if missing.
  • All nodes include optional progress reporting for integration with ComfyUI pipelines.