Random Int

Documentation

• Class name: RandomInt
• Category: Art Venture/Utils
• Output node: False

The RandomInt node generates a random integer within a specified range. It abstracts the complexity of random number generation, providing a simple interface for obtaining integers for various applications, such as random sampling or stochastic processes.

Input types

Required

• min
  • Specifies the minimum value in the range from which the random integer will be generated. It sets the lower bound for the random number generation.
  • Comfy dtype: INT
  • Python dtype: int
• max
  • Defines the maximum value in the range for the random integer generation. It establishes the upper limit, ensuring the generated number does not exceed this value.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• int
  • Comfy dtype: INT
  • The generated random integer within the specified range.
  • Python dtype: int
• string
  • Comfy dtype: STRING
  • A string representation of the generated random integer, facilitating its use in contexts requiring textual data.
  • Python dtype: str

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class UtilRandomInt:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "min": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
                "max": ("INT", {"default": 100, "min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
            }
        }

    RETURN_TYPES = ("INT", "STRING")
    CATEGORY = "Art Venture/Utils"
    FUNCTION = "random_int"

    @classmethod
    def IS_CHANGED(s, *args, **kwargs):
        return torch.rand(1).item()

    def random_int(self, min: int, max: int):
        num = torch.randint(min, max, (1,)).item()
        return (num, str(num))