RemapStretch

Documentation

• Class name: RemapStretch
• Category: Bmad/CV/Transform
• Output node: False

The RemapStretch node is designed to apply a stretching transformation to images based on specified power factors along the x and y axes, and a center point around which the stretch is applied. This node allows for the dynamic adjustment of image geometry to simulate effects such as stretching or elongation, providing a versatile tool for image manipulation and enhancement.

Input types

Required

• power_x
  • Specifies the power factor for stretching along the x-axis. A higher value results in more pronounced stretching effect.
  • Comfy dtype: FLOAT
  • Python dtype: float
• power_y
  • Specifies the power factor for stretching along the y-axis. Similar to power_x, a higher value intensifies the stretching effect.
  • Comfy dtype: FLOAT
  • Python dtype: float
• center_x
  • Determines the x-coordinate of the center point around which the stretching effect is applied. This allows for targeted manipulation of the image geometry.
  • Comfy dtype: FLOAT
  • Python dtype: float
• center_y
  • Determines the y-coordinate of the center point around which the stretching effect is applied, enabling precise control over the area of effect.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• remap
  • Comfy dtype: REMAP
  • Produces a transformed image where the specified stretching effects have been applied, altering the original geometry according to the input parameters.
  • Python dtype: Tuple[np.ndarray, np.ndarray, NoneType]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class RemapStretch(RemapBase):
    @classmethod
    def INPUT_TYPES(cls):
        return RemapPinch.INPUT_TYPES_DICT

    def send_remap(self, power_x, power_y, center_x, center_y):
        from .utils.remaps import remap_pinch_or_stretch
        return ({
                    "func": remap_pinch_or_stretch,
                    "xargs": [(1 / power_x, 1 / power_y), (center_x, center_y)]
                },)