ComfyUI > Nodes > DJZ-Nodes > Fractal Gen Cuda

ComfyUI Node: Fractal Gen Cuda

Class Name

FractalGeneratorV3

Category
DJZ-Nodes
Author
DriftJohnson (Account age: 4052days)
Extension
DJZ-Nodes
Latest Updated
2025-04-25
Github Stars
0.04K

How to Install DJZ-Nodes

Install this extension via the ComfyUI Manager by searching for DJZ-Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter DJZ-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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Fractal Gen Cuda Description

Sophisticated node for creating intricate fractal images with customization options for AI artists.

Fractal Gen Cuda:

FractalGeneratorV3 is a sophisticated node designed to create intricate and visually captivating fractal images. This node is particularly beneficial for AI artists looking to explore the mesmerizing world of fractals, offering a wide range of customization options to tailor the fractal generation process to specific artistic needs. The primary goal of FractalGeneratorV3 is to provide a flexible and powerful tool for generating fractals with varying levels of detail, color schemes, and zoom levels. By leveraging advanced mathematical algorithms, this node can produce high-quality fractal images that can be used in various creative projects, from digital art to visual effects. The node's capabilities include adjusting the fractal's complexity, colorization, and zoom, allowing artists to experiment with different visual styles and achieve unique results.

Fractal Gen Cuda Input Parameters:

width

The width parameter specifies the width of the generated fractal image in pixels. It determines the horizontal resolution of the output image, affecting the level of detail and clarity. A higher width value results in a more detailed image but may require more computational resources. There is no explicit minimum or maximum value provided, but it should be set according to the desired output size and available system resources.

height

The height parameter defines the height of the fractal image in pixels, controlling the vertical resolution. Similar to the width, a higher height value increases the image's detail and clarity. The choice of height should align with the intended aspect ratio and the level of detail required for the project.

max_iterations

The max_iterations parameter determines the maximum number of iterations used in the fractal generation process. It directly impacts the complexity and detail of the fractal. Higher values result in more intricate patterns but may increase computation time. The default value is not specified, but it should be adjusted based on the desired level of detail and available processing power.

preset

The preset parameter allows you to select predefined fractal configurations, simplifying the setup process. If set to a value other than "Custom," the node uses preset coordinates and zoom levels to generate the fractal. This parameter is useful for quickly exploring different fractal styles without manually adjusting other parameters.

zoom_level

The zoom_level parameter controls the zoom factor of the fractal, affecting the scale and detail of the image. A higher zoom level allows you to explore finer details within the fractal, while a lower zoom level provides a broader view. The default value is not specified, but it should be chosen based on the desired level of detail and the specific area of the fractal you wish to explore.

color_preset

The color_preset parameter specifies the color scheme used to render the fractal. Different color presets can dramatically change the visual appearance of the fractal, allowing for a wide range of artistic expressions. The available options are not listed, but experimenting with different presets can yield unique and visually appealing results.

power

The power parameter influences the mathematical power used in the fractal generation formula. It affects the shape and complexity of the fractal patterns. Adjusting the power can lead to different fractal structures, providing additional creative control over the final image.

escape_radius

The escape_radius parameter defines the threshold at which a point is considered to have escaped to infinity during the fractal calculation. It impacts the boundary and detail of the fractal. A larger escape radius can result in smoother transitions, while a smaller radius may produce sharper edges.

color_cycles

The color_cycles parameter determines the number of color cycles applied to the fractal image. It affects the repetition and variation of colors within the fractal, allowing for more dynamic and vibrant visual effects. The default value is not specified, but it can be adjusted to achieve the desired color complexity.

smooth_coloring

The smooth_coloring parameter enables or disables smooth coloring of the fractal. When enabled, it provides a more gradual transition between colors, resulting in a smoother and more aesthetically pleasing image. This parameter is useful for creating softer and more harmonious color gradients.

x_center

The x_center parameter specifies the x-coordinate of the center point of the fractal. It determines the horizontal position of the zoomed area within the fractal. If not provided, a default value of -0.75 is used. Adjusting this parameter allows you to explore different regions of the fractal.

y_center

The y_center parameter defines the y-coordinate of the center point of the fractal, controlling the vertical position of the zoomed area. If not specified, a default value of 0.0 is used. Modifying this parameter enables you to focus on different parts of the fractal.

Fractal Gen Cuda Output Parameters:

image_tensor

The image_tensor is the primary output of the FractalGeneratorV3 node. It is a PyTorch tensor representing the generated fractal image, formatted in a way that is compatible with ComfyUI. The tensor contains the pixel data of the fractal image, normalized to a 0-1 range, and is structured to include batch, height, width, and color channels. This output is essential for further processing or integration into AI art projects, providing a high-quality representation of the fractal that can be used in various creative applications.

Fractal Gen Cuda Usage Tips:

  • Experiment with different preset values to quickly explore a variety of fractal styles and find one that suits your artistic vision.
  • Adjust the zoom_level and x_center, y_center parameters to focus on specific areas of the fractal, allowing you to capture intricate details or broader patterns.
  • Use the color_preset and color_cycles parameters to experiment with different color schemes and achieve unique visual effects that enhance the artistic appeal of your fractal images.

Fractal Gen Cuda Common Errors and Solutions:

"Invalid preset value"

  • Explanation: This error occurs when an unrecognized value is provided for the preset parameter.
  • Solution: Ensure that the preset value is one of the predefined options or set it to "Custom" for manual configuration.

"Image size too large"

  • Explanation: This error indicates that the specified width and height exceed the system's memory or processing capabilities.
  • Solution: Reduce the width and height values to fit within the available resources, or consider optimizing your system's performance.

"Invalid color preset"

  • Explanation: This error arises when an unsupported value is used for the color_preset parameter.
  • Solution: Verify that the color_preset is set to a valid option provided by the node, or consult the documentation for available presets.

Fractal Gen Cuda Related Nodes

Go back to the extension to check out more related nodes.
DJZ-Nodes
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