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Facilitates seamless blending of two images with control over transparency and placement for creating complex image compositions.
The ImageComposite_Zho node is designed to facilitate the seamless combination of two images into a single composite image. This node allows you to position and blend two images (images_a and images_b) within a specified container, providing control over their transparency and placement. The primary goal of this node is to enable the creation of complex image compositions with ease, making it a valuable tool for AI artists looking to merge visual elements creatively. By adjusting parameters such as the position, transparency, and background, you can achieve a wide range of visual effects, from simple overlays to intricate image matrices.
This parameter represents the first image to be used in the composite. It is an essential input and must be provided for the node to function.
This parameter represents the second image to be used in the composite. Like images_a, it is a required input.
This parameter controls the transparency of images_a. It accepts a float value ranging from 0.0 (completely transparent) to 1.0 (completely opaque), with a default value of 1.0. Adjusting this parameter allows you to blend images_a with the background and images_b.
This parameter controls the transparency of images_b. It accepts a float value ranging from 0.0 to 1.0, with a default value of 1.0. This parameter helps in blending images_b with the background and images_a.
This parameter specifies the horizontal position of images_a within the container. It accepts a float value between 0.0 and 1.0, with a default value of 0.0. The value represents the percentage offset from the left edge of the container.
This parameter specifies the vertical position of images_a within the container. It accepts a float value between 0.0 and 1.0, with a default value of 0.0. The value represents the percentage offset from the top edge of the container.
This parameter specifies the horizontal position of images_b within the container. It accepts a float value between 0.0 and 1.0, with a default value of 0.0. The value represents the percentage offset from the left edge of the container.
This parameter specifies the vertical position of images_b within the container. It accepts a float value between 0.0 and 1.0, with a default value of 0.0. The value represents the percentage offset from the top edge of the container.
This parameter determines which image (images_a or images_b) will serve as the background for the composite. It accepts either images_a or images_b.
This parameter defines the method of compositing the images. It accepts either pair or matrix, allowing you to choose between a simple overlay or a more complex matrix arrangement.
The output of the ImageComposite_Zho node is a single composite image that combines images_a and images_b based on the specified parameters. This composite image reflects the positioning, transparency, and background settings applied, resulting in a unified visual output.
method to pair and adjust the alpha_a and alpha_b parameters to blend the images smoothly.matrix method and experiment with different images_a_x, images_a_y, images_b_x, and images_b_y values to achieve the desired layout.background parameter to determine which image should serve as the base layer, providing a foundation for the composite.alpha_a or alpha_b are outside the acceptable range (0.0 to 1.0).alpha_a and alpha_b parameters are set within the range of 0.0 to 1.0. Adjust the values to fall within this range.method parameter.method parameter is set to either pair or matrix. Double-check the spelling and case of the method value.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.