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Generate various types of random numbers with flexibility, reproducibility, and seed setting for AI artists' creative projects.
The Random Number node is designed to generate random numbers based on specified parameters, providing flexibility in the type of random number generated, such as integers, floats, or boolean values. This node is particularly useful for AI artists who need to introduce randomness into their projects, whether for procedural generation, random sampling, or other creative applications. By allowing you to set a seed, the node ensures reproducibility, meaning you can generate the same sequence of random numbers if needed. This feature is essential for debugging and refining your creative processes.
This parameter determines the type of random number to generate. You can choose from three options: integer
, float
, or bool
. Selecting integer
will generate whole numbers within the specified range, float
will produce decimal numbers, and bool
will return a random boolean value (True or False). The choice of number type impacts the kind of randomness introduced into your project, allowing for varied applications.
This parameter sets the lower bound of the range from which the random number will be generated. It accepts a floating-point number, with a default value of 0. The minimum value can be as low as -18446744073709551615 and as high as 18446744073709551615. Setting this parameter appropriately ensures that the generated random number falls within a desired range, which is crucial for maintaining control over the randomness in your project.
This parameter sets the upper bound of the range from which the random number will be generated. Like the minimum parameter, it accepts a floating-point number, with a default value of 0. The maximum value can also range from -18446744073709551615 to 18446744073709551615. Properly setting this parameter ensures that the generated random number does not exceed the desired range, providing you with precise control over the randomness.
The seed parameter is an integer that initializes the random number generator. It has a default value of 0 and can range from 0 to 0xffffffffffffffff. Setting a specific seed allows for reproducibility, meaning the same sequence of random numbers can be generated if the same seed is used again. This is particularly useful for debugging and refining your creative processes, as it ensures consistency in the randomness introduced.
This output provides the generated random number in the type specified by the number_type
parameter. It can be an integer, float, or boolean value, depending on your selection. This output is the primary result of the node and can be used directly in your projects to introduce randomness.
This output provides the generated random number as a floating-point value, regardless of the number_type
specified. This ensures that you always have access to a decimal representation of the random number, which can be useful for calculations and further processing.
This output provides the generated random number as an integer value, regardless of the number_type
specified. This ensures that you always have access to a whole number representation of the random number, which can be useful for indexing, counting, and other integer-specific operations.
minimum
and maximum
parameters to control the range of your random numbers, ensuring they fit within the desired bounds for your project.number_type
options to see how integers, floats, and booleans can introduce different kinds of randomness into your work.True Random.org Number Generator
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