This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler.
The ComfyUI-Impact-Pack
is a comprehensive repository containing custom nodes for enhancing images within the ComfyUI interface. This pack facilitates advanced image processing through nodes specializing in detection, detailing, upscaling, and more. It provides a modular approach to workflows, offering improved compatibility with models and a variety of operational nodes tailored for intricate image enhancement tasks.
Repository URL: https://github.com/ltdrdata/ComfyUI-Impact-Pack
ComfyUI Impact Pack
within ComfyUI-Manager.Install
button to automatically install the pack.Navigate to the custom_nodes
directory in your ComfyUI installation:
cd custom_nodes
Clone the repository:
git clone https://github.com/ltdrdata/ComfyUI-Impact-Pack
cd ComfyUI-Impact-Pack
Install the required dependencies:
pip install -r requirements.txt
Restart ComfyUI.
The ComfyUI-Impact-Pack
is designed to extend the functionality of ComfyUI by providing a set of nodes enabling advanced image processing capabilities. Whether you're refining low-resolution images, performing iterative upscaling, or dynamically manipulating masks and regions, this pack offers tailored solutions for detailed tasks.
The repository includes a variety of nodes categorized by their functionality:
SAMLoader
CLIPSegDetectorProvider
ONNXDetectorProvider
SAMDetector (Combined)
SAMDetector (Segmented)
The ComfyUI-Impact-Pack
enhances workflow capabilities within ComfyUI by enabling advanced image manipulation and refinement tasks. Its comprehensive set of nodes supports intricate detailing and upscaling operations, thus catering to users aiming for high-resolution image outputs and finer control over the processing stages. By incorporating these custom nodes, users can efficiently design workflows that dynamically adjust to various input conditions and achieve desired enhancements in image outputs.
For further tutorials and examples of how to utilize these nodes in practical workflows, please refer to the other tutorials.