ComfyUI > Nodes > ComfyUI > Flip Latent

ComfyUI Node: Flip Latent

Class Name

LatentFlip

Category
latent/transform
Author
ComfyAnonymous (Account age: 598days)
Extension
ComfyUI
Latest Updated
2024-08-12
Github Stars
45.85K

How to Install ComfyUI

Install this extension via the ComfyUI Manager by searching for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Flip Latent Description

Transform latent representations by flipping them vertically or horizontally for AI art and image generation workflows.

Flip Latent:

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.

Flip Latent Input Parameters:

samples

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.

flip_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.

Flip Latent Output Parameters:

LATENT

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.

Flip Latent Usage Tips:

  • To create symmetrical effects in your generated images, use the LatentFlip node to flip your latent samples and combine them with the original samples.
  • Experiment with both vertical and horizontal flips to see how different transformations affect the final output of your AI-generated images.
  • Use the LatentFlip node in conjunction with other transformation nodes like LatentRotate to achieve more complex and interesting visual effects.

Flip Latent Common Errors and Solutions:

"Invalid latent samples"

  • Explanation: This error occurs when the input samples parameter does not contain valid latent data.
  • Solution: Ensure that the samples parameter is correctly populated with valid latent representations before passing it to the LatentFlip node.

"Unsupported flip method"

  • Explanation: This error happens when an invalid value is provided for the flip_method parameter.
  • Solution: Verify that the flip_method parameter is set to either "x-axis: vertically" or "y-axis: horizontally". Any other value will result in this error.

Flip Latent Related Nodes

Go back to the extension to check out more related nodes.
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