Random

Documentation

• Class name: DF_Random
• Category: Derfuu_Nodes/Functions
• Output node: False

The DF_Random node generates a random floating-point number within a specified range. It utilizes a seed for reproducible randomness, allowing for consistent results across multiple executions.

Input types

Required

• Value_A
  • Specifies the lower bound of the random number range. It influences the minimum value that the random number generator can produce.
  • Comfy dtype: FLOAT
  • Python dtype: float
• Value_B
  • Defines the upper bound of the random number range. It sets the maximum value that the random number generator can output.
  • Comfy dtype: FLOAT
  • Python dtype: float
• seed
  • A seed value for the random number generator to ensure reproducibility of results. It determines the sequence of numbers generated, allowing for consistent randomness across runs.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• float
  • Comfy dtype: FLOAT
  • The output is a random floating-point number within the specified range, determined by the input bounds and seed.
  • Python dtype: float

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class RandomValue:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "Value_A": Field.float(default=0),
                "Value_B": Field.float(default=1),
                "seed": Field.int(default=0, min=0, max=2**32-1),
            }
        }

    RETURN_TYPES = ("FLOAT",)
    FUNCTION = "get_rand"

    CATEGORY = TREE_FUNCTIONS

    def get_rand(self, Value_A, Value_B, seed):
        random.seed(seed)
        value = random.uniform(Value_A, Value_B)
        return (value,)