46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import torch
|
|
|
|
class Parabolize:
|
|
def __init__(self):
|
|
pass
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"image": ("IMAGE",),
|
|
"coeff": ("FLOAT", {
|
|
"default": 1.0,
|
|
"min": -10.0,
|
|
"max": 10.0,
|
|
"step": 0.1
|
|
}),
|
|
"vertex_x": ("FLOAT", {
|
|
"default": 0.5,
|
|
"min": 0.0,
|
|
"max": 1.0,
|
|
"step": 0.1
|
|
}),
|
|
"vertex_y": ("FLOAT", {
|
|
"default": 0.5,
|
|
"min": 0.0,
|
|
"max": 1.0,
|
|
"step": 0.1
|
|
}),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("IMAGE",)
|
|
FUNCTION = "parabolize_image"
|
|
|
|
CATEGORY = "postprocessing/Color Adjustments"
|
|
|
|
def parabolize_image(self, image: torch.Tensor, coeff: float, vertex_x: float, vertex_y: float):
|
|
parabolized_image = coeff * torch.pow(image - vertex_x, 2) + vertex_y
|
|
parabolized_image = torch.clamp(parabolized_image, 0, 1)
|
|
return (parabolized_image,)
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"Parabolize": Parabolize,
|
|
}
|