XY Input: Denoise¶

Documentation¶

Class name: XY Input: Denoise
Category: Efficiency Nodes/XY Inputs
Output node: False

This node is designed to generate a set of floating-point values representing denoising levels for a batch of data. It abstracts the process of calculating denoise values across a specified range, facilitating the visualization or analysis of denoising effects in a computational efficiency context.

Input types¶

Required¶

batch_count
- Specifies the number of denoise values to generate, allowing for control over the granularity of the denoising analysis.
- Comfy dtype: INT
- Python dtype: int
first_denoise
- Defines the starting point of the denoise range, enabling customization of the denoising process's lower bound.
- Comfy dtype: FLOAT
- Python dtype: float
last_denoise
- Sets the endpoint of the denoise range, allowing for the adjustment of the upper limit in the denoising analysis.
- Comfy dtype: FLOAT
- Python dtype: float

Output types¶

X or Y
- Comfy dtype: XY
- Outputs a tuple containing the type of values ('Denoise') and the generated floating-point denoise values, suitable for plotting or further analysis.
- Python dtype: Tuple[str, List[float]]

Usage tips¶

Infra type: CPU
Common nodes: unknown

Source code¶

class TSC_XYplot_Denoise:

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "batch_count": ("INT", {"default": XYPLOT_DEF, "min": 0, "max": XYPLOT_LIM}),
                "first_denoise": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}),
                "last_denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
            }
        }

    RETURN_TYPES = ("XY",)
    RETURN_NAMES = ("X or Y",)
    FUNCTION = "xy_value"
    CATEGORY = "Efficiency Nodes/XY Inputs"

    def xy_value(self, batch_count, first_denoise, last_denoise):
        xy_type = "Denoise"
        xy_value = generate_floats(batch_count, first_denoise, last_denoise)
        return ((xy_type, xy_value),) if xy_value else (None,)