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Transform latent representations by flipping them vertically or horizontally for AI art and image generation workflows.
The LatentFlip
node is designed to transform latent representations by flipping them either vertically or horizontally. This node is particularly useful in AI art and image generation workflows where you might want to create mirrored versions of your latent images to achieve various artistic effects or to augment your dataset. By flipping the latent representations, you can explore different perspectives and symmetries in your generated images, adding diversity and creativity to your work. The LatentFlip
node provides a straightforward method to apply these transformations, making it an essential tool for AI artists looking to experiment with different visual outcomes.
This parameter represents the latent samples that you want to transform. Latent samples are essentially the encoded representations of images that are used in various stages of AI image generation. The samples
parameter is crucial as it contains the data that will be flipped according to the specified method.
The flip_method
parameter determines the axis along which the latent samples will be flipped. It offers two options: "x-axis: vertically" and "y-axis: horizontally". Choosing "x-axis: vertically" will flip the latent samples along the vertical axis, creating a top-to-bottom mirror image. On the other hand, selecting "y-axis: horizontally" will flip the samples along the horizontal axis, resulting in a left-to-right mirror image. This parameter allows you to control the direction of the flip, enabling you to achieve the desired visual effect.
The output of the LatentFlip
node is a transformed latent representation, labeled as LATENT
. This output retains the same structure as the input latent samples but with the specified flip transformation applied. The flipped latent samples can then be used in subsequent nodes or processes within your AI art generation workflow, allowing you to build upon the transformed data to create unique and diverse images.
LatentFlip
node to flip your latent samples and combine them with the original samples.LatentFlip
node in conjunction with other transformation nodes like LatentRotate
to achieve more complex and interesting visual effects.samples
parameter does not contain valid latent data.samples
parameter is correctly populated with valid latent representations before passing it to the LatentFlip
node.flip_method
parameter.flip_method
parameter is set to either "x-axis: vertically" or "y-axis: horizontally". Any other value will result in this error.© Copyright 2024 RunComfy. All Rights Reserved.