ComfyUI  >  Nodes  >  AegisFlow Utility Nodes >  Glitch-Vextra

ComfyUI Node: Glitch-Vextra

Class Name

GlitchThis Effect

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.

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Glitch-Vextra Description

Introduce glitch effects to images for artistic distortions using `glitch-this` library, creating retro cyberpunk aesthetics.

Glitch-Vextra:

The GlitchThis Effect node is designed to introduce a glitch effect to your images, adding a unique and artistic distortion that can enhance the visual appeal of your artwork. This node leverages the capabilities of the glitch-this library to apply various glitch effects, such as color offsets and scan lines, to your images. By manipulating these parameters, you can create a wide range of glitch aesthetics, from subtle distortions to intense visual disruptions. This effect is particularly useful for creating digital art with a retro or cyberpunk feel, adding an element of unpredictability and creativity to your projects.

Glitch-Vextra Input Parameters:

images

This parameter accepts a list of images that you want to apply the glitch effect to. Each image should be in a tensor format, which is a common data structure used in machine learning and image processing.

glitch_amount

This parameter controls the intensity of the glitch effect. A higher value will result in more pronounced distortions, while a lower value will produce subtler effects. The default value is 1, and it can be adjusted to suit your artistic needs.

color_offset

This parameter determines whether to apply a color offset effect to the image. It accepts two options: Enable and Disable. When enabled, the colors in the image will be shifted, creating a chromatic aberration effect. The default setting is Disable.

scan_lines

This parameter controls the addition of scan lines to the image, which can give it a vintage or analog feel. Similar to the color offset, it accepts Enable and Disable options. When enabled, horizontal lines will be overlaid on the image, simulating the appearance of an old television screen. The default setting is Disable.

seed

This parameter sets the seed for the random number generator used in the glitch effect. By specifying a seed value, you can ensure that the same random distortions are applied each time, allowing for reproducibility. The default value is 0.

Glitch-Vextra Output Parameters:

total_images

This output parameter returns a tensor containing the glitched images. Each image in the tensor has been processed according to the specified input parameters, resulting in a collection of visually distorted images ready for further use or display.

Glitch-Vextra Usage Tips:

  • Experiment with different glitch_amount values to find the perfect balance between subtlety and intensity for your artwork.
  • Enable color_offset to add a vibrant, chromatic aberration effect that can make your images stand out.
  • Use the scan_lines option to give your images a retro, analog feel, perfect for creating vintage or cyberpunk-themed art.
  • Set a specific seed value if you want to reproduce the same glitch effect across multiple images or sessions.

Glitch-Vextra Common Errors and Solutions:

ModuleNotFoundError: No module named 'glitch_this'

  • Explanation: This error occurs when the glitch-this library is not installed in your environment.
  • Solution: Ensure that the glitch-this library is installed by running pip install glitch-this in your command line or terminal.

ValueError: Invalid value for color_offset or scan_lines

  • Explanation: This error occurs when an invalid value is provided for the color_offset or scan_lines parameters.
  • Solution: Make sure to use only Enable or Disable as values for these parameters.

TypeError: images should be in tensor format

  • Explanation: This error occurs when the input images are not in the expected tensor format.
  • Solution: Convert your images to tensor format before passing them to the node. You can use libraries like PyTorch to handle this conversion.

Glitch-Vextra Related Nodes

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