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Rotate images in AI art projects with specified degrees, modes, and sampling methods for precise adjustments and transformations.
The Image Rotate node is designed to facilitate the rotation of images within your AI art projects. This node allows you to rotate images by specified degrees, ensuring that your visual compositions can be adjusted to the desired orientation. It supports different rotation modes and sampling methods, providing flexibility and control over the image transformation process. Whether you need to rotate an image by 90 degrees for a quick adjustment or perform more complex rotations, this node ensures that the output maintains high quality and visual integrity.
This parameter accepts a batch of images that you want to rotate. The images should be in a tensor format, which is a common format used in AI and machine learning for handling image data. The node will process each image in the batch individually.
The mode parameter determines the method used for rotating the images. It can be set to either internal
or external
. The internal
mode uses the built-in rotation function of the image library, while the external
mode performs a series of 90-degree rotations. The choice of mode can affect the performance and the final appearance of the rotated image.
This parameter specifies the degree of rotation to be applied to the images. The value should be an integer between 0 and 360. If the value exceeds 360, it will be capped at 360. Additionally, the rotation value will be adjusted to the nearest multiple of 90 degrees to ensure proper alignment.
The sampler parameter defines the resampling method used during the rotation process. It can be set to nearest
, bicubic
, or bilinear
. Each option offers a different level of quality and computational complexity. nearest
is the fastest but may produce lower quality results, while bicubic
and bilinear
provide smoother and higher quality outputs.
The output of the Image Rotate node is a batch tensor containing the rotated images. This tensor maintains the same format as the input images, ensuring compatibility with subsequent nodes in your workflow. The rotated images will reflect the specified rotation degree and sampling method, ready for further processing or final output.
internal
mode with the nearest
sampler, especially if image quality is not a critical concern.bicubic
or bilinear
sampler to achieve smoother and more visually appealing results.nearest
, bicubic
, or bilinear
. Double-check the spelling and case of the sampler type.© Copyright 2024 RunComfy. All Rights Reserved.