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from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
import comfy.model_management as model_management
class TEED_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return define_preprocessor_inputs(
safe_steps=INPUT.INT(default=2, max=10),
resolution=INPUT.RESOLUTION()
)
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Line Extractors"
def execute(self, image, safe_steps=2, resolution=512, **kwargs):
from custom_controlnet_aux.teed import TEDDetector
model = TEDDetector.from_pretrained().to(model_management.get_torch_device())
out = common_annotator_call(model, image, resolution=resolution, safe_steps=safe_steps)
del model
return (out, )
NODE_CLASS_MAPPINGS = {
"TEEDPreprocessor": TEED_Preprocessor,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"TEED_Preprocessor": "TEED Soft-Edge Lines",
} |