55 lines
1.6 KiB
Markdown
55 lines
1.6 KiB
Markdown
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# Documentation
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- Class name: AnimeLineArtPreprocessor
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- Category: ControlNet Preprocessors/Line Extractors
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- Output node: False
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AnimeLineArtPreprocessor节点专门用于从动漫图像中提取线稿。它使用专门的模型来处理图像并增强其线条艺术特征，使其适用于需要清晰分明的线条绘图的应用场景。
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# Input types
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## Required
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- image
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- 需要处理以提取线稿的输入图像。这个参数至关重要，因为它决定了输出线稿的质量和特征。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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## Optional
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- resolution
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- 指定输出图像的分辨率。更高的分辨率可能会带来更详细的线稿，但也可能增加处理时间。
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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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- 经过处理的图像，具有增强的线条艺术特征。这个输出非常适合进一步的艺术创作或分析应用。
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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: unknown
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## Source code
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```python
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class AnimeLineArt_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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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_anime import LineartAnimeDetector
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model = LineartAnimeDetector.from_pretrained().to(model_management.get_torch_device())
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out = common_annotator_call(model, image, resolution=resolution)
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del model
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return (out, )
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```
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