ComfyUI  >  Nodes  >  AegisFlow Utility Nodes >  imageflip

ComfyUI Node: imageflip

Class Name

Image Flip_ally

Category
AegisFlow/fx
Author
Aegis72 (Account age: 701 days)
Extension
AegisFlow Utility Nodes
Latest Updated
10/3/2024
Github Stars
0.0K

How to Install AegisFlow Utility Nodes

Install this extension via the ComfyUI Manager by searching for  AegisFlow Utility Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter AegisFlow Utility Nodes 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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

imageflip Description

Efficiently flip images horizontally or vertically with simple toggles for AI artists to enhance image processing workflow.

imageflip:

The Image Flip_ally node is designed to provide a straightforward interface for flipping images either horizontally or vertically before saving them. This node is particularly useful for AI artists who need to quickly and easily adjust the orientation of their images without delving into complex image editing software. By offering a simple toggle for enabling or disabling the flip, and options for the type of flip, this node streamlines the process of image manipulation, making it accessible even to those with minimal technical expertise. The primary goal of this node is to enhance the flexibility and efficiency of your image processing workflow, ensuring that you can achieve the desired visual effects with minimal effort.

imageflip Input Parameters:

image

This parameter accepts the image that you want to flip. The image should be in a format that the node can process, typically as a tensor. The image serves as the primary input for the flipping operation.

flip_type

This parameter determines the direction in which the image will be flipped. It offers two options: horizontal and vertical. Selecting horizontal will flip the image along its vertical axis, while vertical will flip it along its horizontal axis. This choice directly impacts the final orientation of the image.

enabled

This boolean parameter controls whether the flipping operation is applied. If set to True (the default value), the image will be flipped according to the specified flip_type. If set to False, the image will remain unchanged. This parameter allows you to easily toggle the flipping effect on and off.

imageflip Output Parameters:

image

The output parameter is the flipped image. If the enabled parameter is set to True, this will be the image after it has been flipped according to the specified flip_type. If enabled is set to False, this will be the original, unaltered image. The output image is returned in the same format as the input image, typically as a tensor.

imageflip Usage Tips:

  • To achieve a mirror effect, set the flip_type to horizontal and ensure enabled is set to True.
  • For creating a reflection effect, use the vertical flip type and combine it with other image processing nodes for more complex compositions.
  • Use the enabled parameter to quickly compare the flipped and original versions of your image without needing to reconfigure the node.

imageflip Common Errors and Solutions:

Invalid flip_type. Must be either 'horizontal' or 'vertical'. No changes applied.

  • Explanation: This error occurs when an invalid value is provided for the flip_type parameter.
  • Solution: Ensure that the flip_type parameter is set to either horizontal or vertical. Double-check the input to avoid typos or incorrect values.

Image tensor conversion issues

  • Explanation: Errors may arise if the input image tensor cannot be properly converted to a NumPy array.
  • Solution: Verify that the input image is in the correct format and that it is a valid tensor. Ensure that the image tensor is not empty or corrupted.

Output image tensor conversion issues

  • Explanation: Errors may occur when converting the flipped NumPy array back to a tensor.
  • Solution: Ensure that the NumPy array is correctly formatted and that the conversion process is properly handled. Check for any issues in the intermediate steps of the flipping process.

imageflip Related Nodes

Go back to the extension to check out more related nodes.
AegisFlow Utility Nodes
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.