1.5 KiB
1.5 KiB
Documentation
- Class name: MaskSmooth+
- Category: essentials
- Output node: False
MaskSmooth节点旨在对给定的遮罩应用高斯模糊,用户可以调节模糊的强度。这个过程会平滑遮罩的边缘,创造出更具视觉吸引力、边缘更加平滑的效果。
Input types
Required
- mask
- mask输入代表将要应用高斯模糊的二值或灰度图像。它是实现平滑效果的核心元素。
- Comfy dtype: MASK
- Python dtype: torch.Tensor
- amount
- amount参数控制应用于遮罩的高斯模糊强度。数值越高,平滑效果越明显。
- Comfy dtype: INT
- Python dtype: int
Output types
- mask
- 输出是经过高斯模糊处理的输入遮罩的修改版本,其边缘已被平滑处理。
- Comfy dtype: MASK
- Python dtype: torch.Tensor
Usage tips
- Infra type:
CPU - Common nodes: unknown
Source code
class MaskSmooth:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"mask": ("MASK",),
"amount": ("INT", { "default": 0, "min": 0, "max": 127, "step": 1, }),
}
}
RETURN_TYPES = ("MASK",)
FUNCTION = "execute"
CATEGORY = "essentials"
def execute(self, mask, amount):
if amount == 0:
return (mask,)
if amount % 2 == 0:
amount += 1
mask = mask > 0.5
mask = T.functional.gaussian_blur(mask.unsqueeze(1), amount).squeeze(1).float()
return (mask,)