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Combine multiple images into a single stacked image with fine control over parameters for AI artists.
The STACK (JOV) ➕ node is designed to combine multiple images into a single stacked image, providing a powerful tool for AI artists to create complex compositions. This node allows you to specify various parameters such as the axis of stacking, stride, scaling mode, and more, giving you fine control over how the images are combined. By leveraging this node, you can efficiently manage and manipulate multiple images, ensuring they are aligned and scaled according to your artistic vision. The main goal of this node is to streamline the process of image stacking, making it easier to create cohesive and visually appealing compositions.
A list of images to be stacked. Each image in the list will be processed and combined according to the specified parameters. The quality and alignment of the final stacked image depend on the input images provided.
Defines the axis along which the images will be stacked. Options include horizontal or vertical stacking. This parameter determines the direction in which the images are combined, affecting the overall layout of the final image.
Specifies the stride or step size between stacked images. This parameter controls the spacing between images in the stack, allowing for adjustments in the density and overlap of the images.
Determines the scaling mode to be applied to the images. Options include various scaling algorithms such as NONE, which means no scaling, or other interpolation methods. This parameter affects the resizing of images to fit the desired dimensions.
A tuple specifying the width and height (w, h) to which the images should be scaled. This parameter is used in conjunction with the scaling mode to resize images, ensuring they fit within the specified dimensions.
Defines the interpolation method used for scaling. Options include different interpolation techniques like LANCZOS4. This parameter influences the quality of the scaled images, affecting the smoothness and clarity of the final output.
A tuple specifying the RGBA values for the matte color to be applied to the images. This parameter allows you to add a background color to the images, which can be useful for creating a consistent look or filling transparent areas.
The final stacked image resulting from the combination of the input images according to the specified parameters. This output is a single image that incorporates all the input images, aligned and scaled as per the configuration settings.
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