61 lines
1.9 KiB
Markdown
61 lines
1.9 KiB
Markdown
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# Documentation
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- Class name: LineartStandardPreprocessor
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- Category: ControlNet Preprocessors/Line Extractors
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- Output node: False
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LineartStandardPreprocessor节点旨在使用标准方法从图像中提取线稿。它预处理图像以突出和细化线条细节，适用于需要清晰线条描绘的应用，如数字艺术和动画。
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# Input types
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## Required
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- image
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- 需要进行线稿提取处理的输入图像。
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- Comfy dtype: IMAGE
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- Python dtype: Image
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## Optional
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- guassian_sigma
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- 指定应用于图像的高斯模糊的sigma值，影响提取线条的平滑度。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- intensity_threshold
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- 决定强度差异的阈值，影响线稿与背景的区分。
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- Comfy dtype: INT
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- Python dtype: int
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- resolution
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- 处理前将输入图像调整到的分辨率，影响提取线稿的细节级别。
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- Comfy dtype: INT
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- Python dtype: int
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# Output types
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- image
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- 输出一张线条增强和细化后的图像，适合进一步处理或直接用于各种应用。
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- Comfy dtype: IMAGE
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- Python dtype: Image
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class Lineart_Standard_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return create_node_input_types(
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guassian_sigma=("FLOAT", {"default": 6.0, "min": 0.0, "max": 100.0}),
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intensity_threshold=("INT", {"default": 8, "min": 0, "max": 16})
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/Line Extractors"
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def execute(self, image, guassian_sigma, intensity_threshold, resolution=512, **kwargs):
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from controlnet_aux.lineart_standard import LineartStandardDetector
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return (common_annotator_call(LineartStandardDetector(), image, guassian_sigma=guassian_sigma, intensity_threshold=intensity_threshold, resolution=resolution), )
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```
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