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Merge multiple images seamlessly with scaling, flipping, and gradients for complex compositions in ComfyUI Node PIXEL MERGE (JOV) π«.
The PIXEL MERGE (JOV) π« node is designed to combine multiple images into a single cohesive output by merging their pixel data. This node is particularly useful for creating complex compositions where different images need to be blended together seamlessly. It supports various operations such as scaling, flipping, and applying gradients to the images before merging them. The node ensures that the final output maintains the desired visual characteristics by allowing you to specify parameters like interpolation methods, scaling modes, and matte colors. This makes it an essential tool for AI artists looking to create intricate and visually appealing compositions.
This parameter accepts an image input that will be used as the base for the merging process. If no image is provided, a default solid channel image is used. This parameter is crucial as it forms the foundation upon which other images and effects are applied.
This parameter allows you to specify a gradient image that will be applied to the base image. If no gradient is provided, a default solid channel gradient is used. The gradient helps in creating smooth transitions and blending effects in the final composition.
This boolean parameter determines whether the image should be flipped. The default value is False
. Flipping an image can be useful for creating mirror effects or adjusting the orientation of the image to fit the desired composition.
This parameter specifies the scaling mode to be used when resizing the image. The default value is NONE
, meaning no scaling is applied. Other options include various scaling modes that can adjust the image dimensions while maintaining aspect ratios or fitting within specified dimensions.
This parameter defines the width and height to which the image should be scaled. The default value is (512, 512)
. This is particularly useful when you need the final image to fit specific dimensions for consistency in your compositions.
This parameter specifies the interpolation method to be used when scaling the image. The default value is LANCZOS4
, which is known for its high-quality results. Other interpolation methods can be chosen based on the desired quality and performance.
This parameter allows you to specify a matte color in the form of a vector of four integers (RGBA). The default value is (0, 0, 0, 255)
, which represents a fully opaque black color. The matte color is used to fill any transparent areas in the final merged image.
The output is a single tensor that contains the merged image data. This tensor combines all the input images and applied effects into one cohesive image. The merged image retains the visual characteristics specified by the input parameters, making it ready for further processing or final use.
NONE
mode if unsure.LANCZOS4
method if unsure.Β© Copyright 2024 RunComfy. All Rights Reserved.