Anime Lineart

Documentation

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

The AnimeLineArtPreprocessor node is designed for extracting line art from anime images. It utilizes a specialized model to process images and enhance their line art features, making it suitable for applications that require clean and distinct line drawings.

Input types

Required

• image
  • The input image to be processed for line art extraction. This parameter is crucial as it determines the quality and characteristics of the output line art.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Optional

• resolution
  • Specifies the resolution of the output image. A higher resolution can lead to more detailed line art but may increase processing time.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• image
  • Comfy dtype: IMAGE
  • The processed image with enhanced line art features. This output is ideal for further artistic or analytical applications.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class AnimeLineArt_Preprocessor:
    @classmethod
    def INPUT_TYPES(s):
        return create_node_input_types()

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

    CATEGORY = "ControlNet Preprocessors/Line Extractors"

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

        model = LineartAnimeDetector.from_pretrained().to(model_management.get_torch_device())
        out = common_annotator_call(model, image, resolution=resolution)
        del model
        return (out, )