Visit ComfyUI Online for ready-to-use ComfyUI environment
Harmonize image colors using histogram matching for consistent color grading across multiple images.
The Runtime44ColorMatch
node is designed to harmonize the colors of one image with another using the histogram matching technique. This process ensures that the color distribution of the target image is adjusted to closely resemble that of the source image, creating a cohesive and visually appealing result. This node leverages advanced libraries such as CuPy for CUDA-enabled devices and NumPy for CPU-based operations, ensuring efficient and accurate color matching regardless of your hardware setup. By utilizing this node, you can achieve consistent color grading across multiple images, which is particularly useful in artistic projects where color harmony is crucial.
The source
parameter is an image tensor that serves as the reference for color distribution. The colors from this image will be used to adjust the target image, ensuring that the final output matches the color profile of the source. This parameter is essential for defining the desired color palette and directly impacts the visual outcome of the color matching process.
The target
parameter is an image tensor that will be adjusted to match the color distribution of the source image. This image will undergo histogram matching to align its colors with those of the source, resulting in a visually cohesive output. The target image is the primary subject of the color adjustment process.
The output is an image tensor that has undergone color matching to align with the source image's color distribution. This output image will have its colors adjusted to closely resemble those of the source image, ensuring a consistent and harmonious color palette across your project.
© Copyright 2024 RunComfy. All Rights Reserved.