58 lines
1.6 KiB
Markdown
58 lines
1.6 KiB
Markdown
|
|
# Documentation
|
|
- Class name: ImageGaussianBlur
|
|
- Category: Art Venture/Utils
|
|
- Output node: False
|
|
|
|
ImageGaussianBlur节点对一组图像应用高斯模糊滤镜，通过指定的半径有效地对图像进行平滑处理。这种操作在图像处理中常用于减少噪声和细节，或创造视觉效果。
|
|
|
|
# Input types
|
|
## Required
|
|
- images
|
|
- 需要进行模糊处理的图像集合。这个输入对于定义将要进行高斯模糊变换的图像集至关重要。
|
|
- Comfy dtype: IMAGE
|
|
- Python dtype: List[torch.Tensor]
|
|
- radius
|
|
- 指定高斯模糊的半径。较大的半径会产生更明显的模糊效果。
|
|
- Comfy dtype: INT
|
|
- Python dtype: int
|
|
|
|
# Output types
|
|
- image
|
|
- 模糊处理后的图像，通过在批次维度上连接单独模糊处理的图像，返回为单个张量。
|
|
- Comfy dtype: IMAGE
|
|
- Python dtype: torch.Tensor
|
|
|
|
|
|
## Usage tips
|
|
- Infra type: `GPU`
|
|
- Common nodes: unknown
|
|
|
|
|
|
## Source code
|
|
```python
|
|
class UtilImageGaussianBlur:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"images": ("IMAGE",),
|
|
"radius": ("INT", {"default": 1, "min": 1, "max": 100}),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("IMAGE",)
|
|
CATEGORY = "Art Venture/Utils"
|
|
FUNCTION = "image_gaussian_blur"
|
|
|
|
def image_gaussian_blur(self, images, radius):
|
|
blured_images = []
|
|
for image in images:
|
|
img = tensor2pil(image)
|
|
img = img.filter(ImageFilter.GaussianBlur(radius=radius))
|
|
blured_images.append(pil2tensor(img))
|
|
|
|
return (torch.cat(blured_images, dim=0),)
|
|
|
|
```
|