ComfyUI > Nodes > GlitchNodes > Rekked WIP | GlitchNodes

ComfyUI Node: Rekked WIP | GlitchNodes

Class Name

Rekked

Category
GlitchNodes
Author
pxl-pshr (Account age: 549days)
Extension
GlitchNodes
Latest Updated
2026-04-16
Github Stars
0.07K

How to Install GlitchNodes

Install this extension via the ComfyUI Manager by searching for GlitchNodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter GlitchNodes 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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Rekked WIP | GlitchNodes Description

Rekked applies glitch effects to images, creating random distortions and color shifts for artistic use.

Rekked WIP | GlitchNodes:

Rekked is a versatile node designed to apply a variety of glitch effects to images, inspired by the datamoshing aesthetic. This node leverages several unique methods to manipulate image data, creating visually striking and unpredictable results that can enhance your creative projects. By converting images into a format that allows for detailed pixel manipulation, Rekked offers a range of effects that can introduce randomness, color shifts, and distortions, mimicking the visual artifacts often seen in corrupted digital media. The node is particularly useful for artists looking to add an element of controlled chaos to their work, providing a toolkit for experimenting with digital aesthetics in a structured yet flexible manner.

Rekked WIP | GlitchNodes Input Parameters:

image

The image parameter is the primary input for the Rekked node, representing the image data that will be processed. This parameter should be a tensor, typically obtained from a previous node in your workflow, and it serves as the canvas upon which the glitch effects will be applied. The image is expected to be in a format compatible with PyTorch, allowing for efficient manipulation and transformation. The quality and characteristics of the input image will directly influence the final output, as the node's effects are applied based on the pixel data contained within this parameter.

mode

The mode parameter determines which glitch effect will be applied to the input image. Each mode corresponds to a specific method within the Rekked node, such as blurbobb, fatcat, void, vana, veneneux, manticore95, or schifty. These modes offer different styles of image manipulation, ranging from color distortions to pixel rearrangements, each with its own unique aesthetic. Selecting a mode allows you to tailor the effect to your artistic vision, providing a wide array of creative possibilities. The choice of mode will significantly impact the visual outcome, making it a crucial parameter for achieving the desired effect.

Rekked WIP | GlitchNodes Output Parameters:

moshed_image

The moshed_image is the output of the Rekked node, representing the transformed image after the selected glitch effect has been applied. This output is a tensor, maintaining the same dimensions as the input image, but with altered pixel data reflecting the chosen mode's effect. The moshed_image serves as the final product of the node's processing, ready to be used in subsequent stages of your workflow or exported for further use. The output captures the essence of digital distortion, offering a unique and artistic interpretation of the original image.

Rekked WIP | GlitchNodes Usage Tips:

  • Experiment with different mode settings to discover a variety of glitch effects and find the one that best suits your artistic needs.
  • Use high-resolution images as input to ensure that the glitch effects are detailed and visually impactful.
  • Combine Rekked with other nodes in your workflow to create complex and layered visual effects, enhancing the overall aesthetic of your project.

Rekked WIP | GlitchNodes Common Errors and Solutions:

Error in Rekked WIP | GlitchNodes processing: <error_message>

  • Explanation: This error occurs when there is an issue during the application of the glitch effect, possibly due to an incompatible image format or an invalid mode selection.
  • Solution: Ensure that the input image is a valid tensor and that the mode parameter is set to one of the available options. Double-check the image dimensions and format to confirm compatibility with the node's requirements.

Rekked WIP | GlitchNodes Related Nodes

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