CavinHuang-comfyui-nodes-docs/docs/Inference_Core_LineArtPreprocessor.md

Documentation

• Class name: Inference_Core_LineArtPreprocessor
• Category: ControlNet Preprocessors/Line Extractors
• Output node: False

Inference_Core_LineArtPreprocessor节点旨在通过提取真实风格的线条艺术来预处理图像。它利用专门的模型将输入图像转换为线条绘图，目的是增强或准备图像以供进一步处理或艺术应用。

Input types

Required

• image
  • 需要进行线条艺术提取处理的输入图像。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Optional

• coarse
  • 决定是否以粗略方式执行线条艺术提取。启用此选项会修改提取过程，可能会改变结果线条艺术中的细节水平。
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str
• resolution
  • 指定执行线条艺术提取的分辨率，影响输出的细节和质量。
  • Comfy dtype: INT
  • Python dtype: int

Output types

• image
  • 输出是经过处理以提取真实风格线条艺术的图像。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class LineArt_Preprocessor:
    @classmethod
    def INPUT_TYPES(s):
        return create_node_input_types(
            coarse=(["disable", "enable"], {"default": "disable"})
        )

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "execute"

    CATEGORY = "ControlNet Preprocessors/Line Extractors"

    def execute(self, image, resolution=512, **kwargs):
        from controlnet_aux.lineart import LineartDetector

        model = LineartDetector.from_pretrained().to(model_management.get_torch_device())
        out = common_annotator_call(model, image, resolution=resolution, coarse = kwargs["coarse"] == "enable")
        del model
        return (out, )