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Seamlessly blend two images using a mask and blend percentage for controlled composition and smooth transitions.
The Image Blend by Mask node is designed to seamlessly blend two images together using a specified mask and blend percentage. This node allows you to create complex and visually appealing compositions by controlling how much of each image is visible in the final output. The mask image determines which parts of the two input images are blended, while the blend percentage allows you to fine-tune the intensity of the blend. This node is particularly useful for creating smooth transitions and combining elements from different images in a controlled manner, making it an essential tool for AI artists looking to enhance their creative projects.
This parameter represents the first input image that you want to blend. It serves as one of the two primary images in the blending process. The quality and resolution of this image will directly impact the final output.
This parameter represents the second input image that you want to blend with the first image. Like image_a, the quality and resolution of this image are crucial for achieving the desired blending effect.
The mask parameter is an image that dictates which parts of image_a and image_b are visible in the final blend. The mask image is converted to grayscale, where white areas represent full visibility of image_a, black areas represent full visibility of image_b, and gray areas represent a mix of both images. This allows for precise control over the blending regions.
This parameter controls the intensity of the blend between the two images. It is a floating-point value ranging from 0.0 to 1.0, with a default value of 0.5. A value of 0.0 means that only image_a will be visible, while a value of 1.0 means that only image_b will be visible. Intermediate values create a mix of both images, with the blend percentage determining the proportion of each image in the final output.
The output parameter is the final blended image, which is the result of combining image_a and image_b according to the specified mask and blend percentage. This image will reflect the smooth transitions and controlled blending dictated by the input parameters, providing a visually cohesive result.
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