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from ..utils import common_annotator_call, create_node_input_types
import comfy.model_management as model_management
import nodes
class Canny_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return create_node_input_types(
low_threshold=("INT", {"default": 100, "min": 0, "max": 255}),
high_threshold=("INT", {"default": 100, "min": 0, "max": 255}),
resolution=("INT", {"default": 512, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 64})
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "tbox/ControlNet Preprocessors"
def execute(self, image, low_threshold=100, high_threshold=200, resolution=512, **kwargs):
from canny import CannyDetector
return (common_annotator_call(CannyDetector(), image, low_threshold=low_threshold, high_threshold=high_threshold, resolution=resolution), )
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