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from ..utils import common_annotator_call, create_node_input_types, nms
import comfy.model_management as model_management
import cv2
class Scribble_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.scribble import ScribbleDetector
model = ScribbleDetector()
return (common_annotator_call(model, image, resolution=resolution), )
class Scribble_XDoG_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return create_node_input_types(
threshold = ("INT", {"default": 32, "min": 1, "max": 64, "step": 1})
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Line Extractors"
def execute(self, image, threshold, resolution=512, **kwargs):
from controlnet_aux.scribble import ScribbleXDog_Detector
model = ScribbleXDog_Detector()
return (common_annotator_call(model, image, resolution=resolution, thr_a=threshold), )
class Scribble_PiDiNet_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return create_node_input_types(
safe=(["enable", "disable"], {"default": "enable"})
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Line Extractors"
def execute(self, image, safe, resolution):
def model(img, **kwargs):
from controlnet_aux.pidi import PidiNetDetector
pidinet = PidiNetDetector.from_pretrained().to(model_management.get_torch_device())
result = pidinet(img, scribble=True, **kwargs)
result = nms(result, 127, 3.0)
result = cv2.GaussianBlur(result, (0, 0), 3.0)
result[result > 4] = 255
result[result < 255] = 0
return result
return (common_annotator_call(model, image, resolution=resolution, safe=safe=="enable"),)
NODE_CLASS_MAPPINGS = {
"ScribblePreprocessor": Scribble_Preprocessor,
"Scribble_XDoG_Preprocessor": Scribble_XDoG_Preprocessor,
"Scribble_PiDiNet_Preprocessor": Scribble_PiDiNet_Preprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"ScribblePreprocessor": "Scribble Lines",
"Scribble_XDoG_Preprocessor": "Scribble XDoG Lines",
"Scribble_PiDiNet_Preprocessor": "Scribble PiDiNet Lines"
}
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