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Unpacks panoramic masks into individual face masks for granular control and manipulation of each panorama face.
The PanoMaskUnPack node is designed to handle the unpacking of panoramic masks into individual face masks, which are essential for processing and manipulating panoramic images. This node is particularly useful in scenarios where you need to work with the six distinct faces of a panoramic image, such as front, right, back, left, up, and down. By unpacking a single panoramic mask into these separate components, the node allows for more granular control and manipulation of each face, enabling you to apply different effects or transformations to each section of the panorama. This capability is crucial for AI artists who want to create seamless and immersive panoramic experiences by ensuring that each face of the panorama is accurately represented and can be individually adjusted.
The masks parameter is a collection of masks that represent the different faces of a panoramic image. This input is crucial as it provides the node with the necessary data to unpack and process each face individually. The masks should be provided in a specific order, typically corresponding to the six faces of a cube map: front, right, back, left, up, and down. Each mask in the collection should be a valid mask image, and the node expects exactly six masks to function correctly. This parameter allows the node to understand how to split and manage the panoramic data effectively.
The front output parameter represents the mask for the front face of the panoramic image. This output is crucial for isolating and manipulating the front section of the panorama, allowing for specific adjustments or effects to be applied.
The right output parameter provides the mask for the right face of the panoramic image. This output is essential for handling the right section separately, enabling targeted modifications or enhancements.
The back output parameter delivers the mask for the back face of the panoramic image. This output is important for working with the back section independently, facilitating precise control over its appearance.
The left output parameter offers the mask for the left face of the panoramic image. This output is vital for managing the left section distinctly, allowing for individual adjustments or transformations.
The up output parameter gives the mask for the top face of the panoramic image. This output is significant for dealing with the top section separately, providing the ability to apply specific effects or changes.
The down output parameter outputs the mask for the bottom face of the panoramic image. This output is crucial for isolating the bottom section, enabling focused modifications or enhancements.
masks parameter contains exactly six masks, each corresponding to a face of the panoramic image, to avoid errors and ensure accurate unpacking.masks parameter does not contain exactly six masks, which is required for the node to function correctly.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.