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from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
import comfy.model_management as model_management
import numpy as np
class MLSD_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return define_preprocessor_inputs(
score_threshold=INPUT.FLOAT(default=0.1, min=0.01, max=2.0),
dist_threshold=INPUT.FLOAT(default=0.1, min=0.01, max=20.0),
resolution=INPUT.RESOLUTION()
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Line Extractors"
def execute(self, image, score_threshold, dist_threshold, resolution=512, **kwargs):
from custom_controlnet_aux.mlsd import MLSDdetector
model = MLSDdetector.from_pretrained().to(model_management.get_torch_device())
out = common_annotator_call(model, image, resolution=resolution, thr_v=score_threshold, thr_d=dist_threshold)
return (out, )
NODE_CLASS_MAPPINGS = {
"M-LSDPreprocessor": MLSD_Preprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"M-LSDPreprocessor": "M-LSD Lines"
} |