ComfyUI > Nodes > GlitchNodes > LuminousFlow | GlitchNodes

ComfyUI Node: LuminousFlow | GlitchNodes

Class Name

LuminousFlow

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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

LuminousFlow | GlitchNodes Description

Transforms images into luminous strands, enhancing contours with a dynamic, glowing effect.

LuminousFlow | GlitchNodes:

LuminousFlow is a specialized node within the ComfyUI framework designed to transform images into mesmerizing displays of flowing luminous strands. This node creates an ethereal effect by generating light threads that intricately follow the features of the input image, resulting in a visually captivating transformation. The primary goal of LuminousFlow is to enhance the artistic appeal of images by adding a dynamic and glowing flow that accentuates the image's natural contours and details. This effect can be particularly beneficial for artists looking to add a unique, otherworldly touch to their digital artwork, making it stand out with vibrant and luminous qualities.

LuminousFlow | GlitchNodes Input Parameters:

image

The image parameter is the input image that you wish to transform using the LuminousFlow effect. This parameter serves as the canvas upon which the luminous strands will be generated, following the image's inherent features to create the desired ethereal effect.

line_spacing

The line_spacing parameter controls the distance between the luminous strands. A smaller value results in closely packed lines, creating a denser effect, while a larger value spaces the lines further apart, offering a more sparse appearance. The minimum value is 2, the maximum is 50, and the default is 8.

line_thickness

The line_thickness parameter determines the thickness of each luminous strand. Thicker lines can create a bolder and more pronounced effect, while thinner lines offer a more delicate and subtle appearance. The minimum value is 1, the maximum is 5, and the default is 1.

flow_intensity

The flow_intensity parameter influences the strength and visibility of the luminous flow effect. Higher values increase the intensity, making the flow more prominent, while lower values result in a subtler effect. The minimum value is 0.1, the maximum is 5.0, and the default is 2.0.

smoothing

The smoothing parameter affects the smoothness of the luminous strands. Higher smoothing values create softer and more fluid lines, while lower values result in sharper and more defined strands. The minimum value is 0.0, the maximum is 5.0, and the default is 1.0.

glow_intensity

The glow_intensity parameter controls the brightness of the glow effect surrounding the luminous strands. A higher glow intensity results in a more radiant and eye-catching effect, while a lower intensity offers a more subdued glow. The minimum value is 0.1, the maximum is 20.0, and the default is 12.0.

darkness

The darkness parameter adjusts the overall darkness of the image, affecting how the luminous strands contrast against the background. A higher darkness value results in a darker image, enhancing the visibility of the luminous effect. The minimum value is 0.0, the maximum is 1.0, and the default is 0.01.

vibrancy

The vibrancy parameter enhances the color intensity of the luminous strands, making them more vivid and striking. Higher vibrancy values increase the saturation and colorfulness of the effect. The minimum value is 0.1, the maximum is 15.0, and the default is 8.0.

glow_spread

The glow_spread parameter determines the spread of the glow effect around the luminous strands. A larger spread creates a more diffused glow, while a smaller spread keeps the glow closer to the strands. The minimum value is 0, the maximum is 12, and the default is 7.

contrast

The contrast parameter adjusts the contrast of the image, affecting the distinction between the luminous strands and the background. Higher contrast values enhance the separation, making the strands more distinct. The minimum value is 0.1, the maximum is 10.0, and the default is 4.0.

LuminousFlow | GlitchNodes Output Parameters:

output_image

The output_image is the transformed image resulting from the application of the LuminousFlow effect. This output showcases the original image enhanced with flowing luminous strands, creating a visually striking and ethereal appearance. The output image retains the original dimensions and format, allowing for seamless integration into your digital artwork projects.

LuminousFlow | GlitchNodes Usage Tips:

  • Experiment with line_spacing and line_thickness to achieve the desired density and boldness of the luminous strands, adjusting these parameters to suit the specific artistic style you aim to achieve.
  • Utilize the glow_intensity and glow_spread parameters to control the radiance and diffusion of the glow effect, enhancing the ethereal quality of the image while maintaining balance with the original features.
  • Adjust the vibrancy and contrast parameters to fine-tune the color intensity and separation of the luminous strands, ensuring they stand out against the background and contribute to the overall visual impact.

LuminousFlow | GlitchNodes Common Errors and Solutions:

"Image tensor shape mismatch"

  • Explanation: This error occurs when the input image tensor does not have the expected shape or dimensions required by the node.
  • Solution: Ensure that the input image is correctly formatted and matches the expected dimensions, typically a 4D tensor with batch size, channels, height, and width.

"Invalid parameter value"

  • Explanation: This error arises when one or more input parameters are set to values outside their allowed range.
  • Solution: Double-check the parameter values to ensure they fall within the specified minimum and maximum limits, adjusting them as necessary to comply with the node's requirements.

LuminousFlow | GlitchNodes Related Nodes

Go back to the extension to check out more related nodes.
GlitchNodes
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.