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Perform Adaptive Instance Normalization (AdaIN) on images for style transfer applications, blending style and content.
The AdainImage node is designed to perform Adaptive Instance Normalization (AdaIN) on images, a technique commonly used in style transfer applications. This node allows you to blend the style of a reference image with the content of your input images, creating a unique combination of both. By adjusting the normalization statistics of the input images to match those of the reference image, the AdainImage node effectively transfers the stylistic features while preserving the original content structure. This process is particularly useful for artists looking to apply specific artistic styles to their images in a controlled and customizable manner.
This parameter accepts the input images that you want to apply the style transfer to. The images should be in a format that the node can process, typically as tensors. The input images serve as the content that will be blended with the style of the reference image.
This parameter takes the reference image whose style you want to transfer to the input images. The reference image provides the stylistic features, such as color distribution and texture, that will be applied to the input images.
This parameter controls the degree to which the style of the reference image is applied to the input images. It is a floating-point value with a default of 1.0, a minimum of -10.0, and a maximum of 10.0. A factor of 1.0 means full application of the reference style, while a factor of 0.0 would mean no style transfer. Negative values and values greater than 1.0 can be used for more extreme effects.
The output of this node is the stylized image, which is a blend of the input images and the reference image's style. The resulting image retains the content structure of the input images while incorporating the stylistic features of the reference image, adjusted according to the specified factor.
RuntimeError: Expected 4-dimensional input for 4-dimensional weight [64, 3, 7, 7], but got 3-dimensional input of size [3, 224, 224] instead
ValueError: Factor must be a float between -10.0 and 10.0
TypeError: Input images and reference must be of type IMAGE
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