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Enhance panoramic images by adding padding for seamless transitions and expanded canvas editing.
The PanoImagePad node is designed to enhance panoramic images by adding padding to them, which can be particularly useful for creating seamless transitions or expanding the canvas for further editing. This node is part of the PanoCard/pad category and focuses on manipulating the width of images, allowing you to extend the visual content horizontally. By using this node, you can effectively manage the aspect ratio and composition of panoramic images, ensuring that they fit specific display requirements or artistic visions. The node's primary function is to provide a flexible and efficient way to adjust the width of images, making it an essential tool for artists working with panoramic content.
This parameter accepts an image input that you want to pad. It is crucial as it serves as the base image to which the padding will be applied. The image should be in a compatible format, typically with an alpha channel if transparency is needed. The quality and resolution of the input image will directly affect the output, so using high-quality images is recommended.
This integer parameter specifies the amount of width to be added to the image. It allows you to control how much horizontal padding is applied, which can be useful for fitting the image into a specific layout or for artistic purposes. The default value is 0, meaning no additional width is added unless specified. The range of this parameter depends on the specific requirements of your project, but it should be a positive integer to increase the width.
This output is a data structure that contains the configuration and state of the panoramic image processing pipeline. It is essential for maintaining the context and settings used during the padding process, allowing for consistent results and further processing if needed.
The equ output represents the padded image. It is the primary result of the node's operation, showcasing the original image with the specified width padding applied. This output is crucial for visualizing the changes made and for any subsequent image processing or display tasks.
The mask output provides a mask image that corresponds to the padded areas of the original image. This mask can be used for further image manipulation, such as blending or compositing, ensuring that the padded regions are handled appropriately in downstream processes.
add_width values to achieve the desired composition and aspect ratio, keeping in mind the final use case of the image.mask output to seamlessly blend the padded areas with other images or backgrounds, enhancing the overall visual coherence.add_width parameter is set to a non-positive value, which is not allowed.add_width parameter to a positive integer to specify the desired amount of padding.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.