68 lines
2.3 KiB
Markdown
68 lines
2.3 KiB
Markdown
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# Documentation
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- Class name: LineArtPreprocessor
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- Category: ControlNet Preprocessors/Line Extractors
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- Output node: False
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LineArtPreprocessor节点旨在从图像中提取线条艺术，特别专注于创建逼真的线条艺术表现。它使用一个专门的模型来处理图像，并可选择性地允许调整线条艺术的粗糙程度。
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# Input types
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## Required
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- image
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- 需要进行线条艺术提取处理的输入图像。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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## Optional
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- coarse
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- 该参数允许用户切换线条艺术提取的粗糙度，可以在更详细或更概括的表现之间进行选择。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: str
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- resolution
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- 指定图像应该被处理的分辨率，影响提取的线条艺术的细节水平。
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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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- 输出是一个经过处理以提取逼真线条艺术的图像，适用于各种艺术和设计应用。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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## Usage tips
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- Infra type: `GPU`
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- Common nodes:
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- [PreviewImage](../../Comfy/Nodes/PreviewImage.md)
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- [ControlNetApplyAdvanced](../../Comfy/Nodes/ControlNetApplyAdvanced.md)
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- [ControlNetApply](../../Comfy/Nodes/ControlNetApply.md)
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- [Control Net Stacker](../../efficiency-nodes-comfyui/Nodes/Control Net Stacker.md)
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- [ImageInvert](../../Comfy/Nodes/ImageInvert.md)
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- [CR Multi-ControlNet Stack](../../ComfyUI_Comfyroll_CustomNodes/Nodes/CR Multi-ControlNet Stack.md)
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- [ACN_AdvancedControlNetApply](../../ComfyUI-Advanced-ControlNet/Nodes/ACN_AdvancedControlNetApply.md)
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## Source code
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```python
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class LineArt_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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coarse=(["disable", "enable"], {"default": "disable"})
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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, resolution=512, **kwargs):
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from controlnet_aux.lineart import LineartDetector
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model = LineartDetector.from_pretrained().to(model_management.get_torch_device())
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out = common_annotator_call(model, image, resolution=resolution, coarse = kwargs["coarse"] == "enable")
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del model
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return (out, )
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```
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