init

node_wrappers/normalbae.py

@@ -0,0 +1,27 @@
+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"
+}