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Combine multiple images into a single composite image with control over scaling and color channels for AI artists.
The ImageContainerInheritanceAdd
node is designed to facilitate the addition of image containers, allowing you to combine multiple images into a single composite image. This node is particularly useful for AI artists who want to merge different visual elements seamlessly. By leveraging this node, you can control various aspects of the image combination process, such as scaling dimensions and adjusting color channels. The primary goal of this node is to provide a flexible and efficient way to create complex image compositions, enhancing your creative workflow without requiring deep technical knowledge.
This parameter accepts a list of images that you want to combine. Each image should be in a compatible format, typically as a multi-dimensional array. The images are the primary input for the node, and their quality and resolution will directly impact the final composite image.
This parameter determines the scaling factor for the width of the images. It is a float value where a value of 1.0 means no scaling, values greater than 1.0 will increase the width, and values less than 1.0 will decrease it. Adjusting this parameter allows you to control the horizontal size of the composite image.
Similar to scale_width
, this parameter controls the scaling factor for the height of the images. It is a float value where 1.0 means no scaling, values greater than 1.0 will increase the height, and values less than 1.0 will decrease it. This helps in managing the vertical size of the composite image.
This parameter adjusts the red color channel of the images. It is a float value that can be used to increase or decrease the intensity of the red channel, allowing for color correction or enhancement in the composite image.
This parameter adjusts the green color channel of the images. Like the red
parameter, it is a float value that modifies the intensity of the green channel, providing additional control over the color balance of the final image.
This parameter adjusts the blue color channel of the images. It is a float value that can be used to alter the intensity of the blue channel, enabling fine-tuning of the image's color composition.
This parameter controls the alpha (transparency) channel of the images. It is a float value where 1.0 means fully opaque and 0.0 means fully transparent. Adjusting this parameter allows you to manage the transparency levels in the composite image.
This parameter specifies the method used for combining the images. It can be a string value that determines the algorithm or technique applied during the image addition process. Different methods can produce varying visual effects, so choosing the right method is crucial for achieving the desired outcome.
The output of this node is a single composite image that results from the addition of the input images. This image will reflect the combined visual elements, scaling adjustments, and color modifications specified by the input parameters. The composite image is typically returned as a multi-dimensional array, ready for further processing or display.
scale_width
and scale_height
values to achieve the desired aspect ratio for your composite image.red
, green
, and blue
parameters to fine-tune the color balance and enhance the visual appeal of the final image.alpha
parameter to create interesting transparency effects, especially when layering multiple images.method
values to explore various image combination techniques and find the one that best suits your artistic vision.scale_width
or scale_height
values are outside the acceptable range.red
, green
, or blue
values are outside the expected range.method
parameter.© Copyright 2024 RunComfy. All Rights Reserved.