CavinHuang-comfyui-nodes-docs/nodes-docs/en-US/ComfyMath/docs/CM_NumberToFloat.md

tags

tags
DataConversion DataTypeConversion NumericConversion

NumberToFloat

Documentation

• Class name: CM_NumberToFloat
• Category: math/conversion
• Output node: False

The CM_NumberToFloat node is designed for converting numerical values from a generic number type, which can be an integer or a float, into a floating-point representation. This conversion facilitates operations that require floating-point precision and is essential in mathematical computations where such precision is necessary.

Input types

Required

• a
  • The input 'a' represents the numerical value to be converted into a floating-point number. This parameter is crucial for the conversion process, affecting the node's execution by determining the output's precision and value.
  • Comfy dtype: NUMBER
  • Python dtype: Union[int, float]

Output types

• float
  • Comfy dtype: FLOAT
  • The output is a floating-point representation of the input numerical value, providing the necessary precision for further mathematical operations.
  • Python dtype: float

Usage tips

• Infra type: CPU
• Common nodes:
  • FaceDetailer
  • [CR Integer Multiple](../../ComfyUI_Comfyroll_CustomNodes/Nodes/CR Integer Multiple.md)

Source code

class NumberToFloat:
    @classmethod
    def INPUT_TYPES(cls) -> Mapping[str, Any]:
        return {"required": {"a": ("NUMBER", {"default": 0.0})}}

    RETURN_TYPES = ("FLOAT",)
    FUNCTION = "op"
    CATEGORY = "math/conversion"

    def op(self, a: number) -> tuple[float]:
        return (float(a),)