ComfyUI > Nodes > ComfyUI-Image-Filters > Game Of Life

ComfyUI Node: Game Of Life

Class Name

GameOfLife

Category
image/filters
Author
spacepxl (Account age: 295days)
Extension
ComfyUI-Image-Filters
Latest Updated
2024-06-22
Github Stars
0.08K

How to Install ComfyUI-Image-Filters

Install this extension via the ComfyUI Manager by searching for ComfyUI-Image-Filters
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Image-Filters 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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Game Of Life Description

Simulate Conway's Game of Life with evolving grid cells based on simple rules for dynamic patterns and designs.

Game Of Life:

The GameOfLife node simulates Conway's Game of Life, a cellular automaton devised by mathematician John Conway. This node generates a grid of cells that evolve over a series of steps based on a set of simple rules. Each cell can be either "on" (alive) or "off" (dead), and its state in the next step is determined by the states of its eight neighbors. This node is particularly useful for creating dynamic, evolving patterns and can be used in various artistic and computational contexts to generate intricate and visually appealing designs. The main goal of this node is to provide a flexible and customizable way to simulate the Game of Life, allowing you to control the grid size, cell size, initial conditions, and evolution steps.

Game Of Life Input Parameters:

width

The width parameter specifies the number of cells along the horizontal axis of the grid. It determines the overall width of the simulation area. A larger width will result in a wider grid, allowing for more complex patterns to emerge. There is no strict minimum or maximum value, but typical values range from 10 to 1000. The default value is usually set to 100.

height

The height parameter specifies the number of cells along the vertical axis of the grid. It determines the overall height of the simulation area. A larger height will result in a taller grid, allowing for more complex patterns to emerge. There is no strict minimum or maximum value, but typical values range from 10 to 1000. The default value is usually set to 100.

cell_size

The cell_size parameter defines the size of each cell in the grid. This affects the visual representation of the grid, with larger cell sizes making individual cells more prominent. The minimum value is 1, and there is no strict maximum value, but typical values range from 1 to 50. The default value is usually set to 10.

seed

The seed parameter is used to initialize the random number generator for the grid's initial state. By setting a specific seed value, you can ensure that the same initial grid configuration is generated each time, which is useful for reproducibility. The seed can be any integer value. The default value is typically set to 42.

threshold

The threshold parameter determines the probability that a cell will be "on" (alive) in the initial grid configuration. It is a value between 0 and 1, where a higher threshold means more cells will start in the "on" state. The default value is usually set to 0.5.

steps

The steps parameter specifies the number of iterations or generations the simulation will run. Each step updates the grid based on the rules of the Game of Life. The minimum value is 1, and there is no strict maximum value, but typical values range from 1 to 1000. The default value is usually set to 100.

optional_start

The optional_start parameter allows you to provide a custom initial grid configuration. If provided, this grid will be used as the starting point for the simulation instead of a randomly generated grid. This parameter is optional and can be left as None if you prefer a random start.

Game Of Life Output Parameters:

grid

The grid output parameter provides the final state of the grid after all the specified steps have been executed. It is a 2D array where each element represents the state of a cell, with 1 indicating "on" (alive) and 0 indicating "off" (dead). This output is useful for visualizing the end result of the simulation.

turn_off

The turn_off output parameter provides a 2D array indicating which cells turned from "on" to "off" during each step of the simulation. This can be used to track changes and understand the evolution of the grid over time.

turn_on

The turn_on output parameter provides a 2D array indicating which cells turned from "off" to "on" during each step of the simulation. This can be used to track changes and understand the evolution of the grid over time.

Game Of Life Usage Tips:

  • Experiment with different seed values to generate unique initial grid configurations and explore a variety of patterns.
  • Adjust the threshold parameter to control the initial density of "on" cells, which can significantly impact the resulting patterns.
  • Use the optional_start parameter to start the simulation from a specific grid configuration, allowing for custom and controlled experiments.
  • Increase the number of steps to observe how patterns evolve over a longer period, revealing more complex behaviors.

Game Of Life Common Errors and Solutions:

"Bad linked input, must be a length-2 list of [node_id, slot_index]"

  • Explanation: This error occurs when the input provided to the node is not in the expected format.
  • Solution: Ensure that the input is a list containing exactly two elements: the node ID and the slot index.

"Return type mismatch between linked nodes"

  • Explanation: This error occurs when the output type of a linked node does not match the expected input type for the GameOfLife node.
  • Solution: Verify that the types of the linked nodes are compatible and match the expected input types for the GameOfLife node.

Game Of Life Related Nodes

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