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from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
import comfy.model_management as model_management
class LineArt_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return define_preprocessor_inputs(
coarse=INPUT.COMBO((["disable", "enable"])),
resolution=INPUT.RESOLUTION()
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Line Extractors"
def execute(self, image, resolution=512, **kwargs):
from custom_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, )
NODE_CLASS_MAPPINGS = {
"LineArtPreprocessor": LineArt_Preprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"LineArtPreprocessor": "Realistic Lineart"
} |