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from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
import comfy.model_management as model_management
class BAE_Normal_Map_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return define_preprocessor_inputs(resolution=INPUT.RESOLUTION())
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/Normal and Depth Estimators"
def execute(self, image, resolution=512, **kwargs):
from custom_controlnet_aux.normalbae import NormalBaeDetector
model = NormalBaeDetector.from_pretrained().to(model_management.get_torch_device())
out = common_annotator_call(model, image, resolution=resolution)
del model
return (out,)
NODE_CLASS_MAPPINGS = {
"BAE-NormalMapPreprocessor": BAE_Normal_Map_Preprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"BAE-NormalMapPreprocessor": "BAE Normal Map"
}