ComfyUI OIDN Denoiser

This custom node for ComfyUI provides a wrapper for Intel's Open Image Denoise (OIDN) library, allowing you to denoise images directly within your ComfyUI workflow.

Installation

1. Navigate to your ComfyUI/custom_nodes/ directory.
2. Clone this repository:

   git clone https://github.com/your-repo/ComfyUI_OIDN_Denoiser.git
   

3. Install the required dependencies:

   pip install -r ComfyUI/custom_nodes/ComfyUI_OIDN_Denoiser/requirements.txt
   

4. Restart ComfyUI.

Node Functionality

The OIDN Denoiser node takes an image as input and outputs a fully denoised image.

Inputs

• image: The input image (or batch of images) to be denoised.

Outputs

• denoised_image: The denoised image, with the same shape and type as the input.

Example Usage

1. Add the OIDN Denoiser node to your workflow (you can find it in the "Image Denoising" category).
2. Connect an image output from another node to the image input of the OIDN Denoiser.
3. Connect the denoised_image output to another node, such as a "Save Image" node.

Known Issues or Limitations

• The node currently processes images on the CPU, as the oidn-python library primarily supports CPU-based denoising. Performance may vary depending on your system's CPU.
• Large images may consume a significant amount of memory.