init

node_wrappers/leres.py

@@ -0,0 +1,32 @@
+from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
+import comfy.model_management as model_management
+
+class LERES_Depth_Map_Preprocessor:
+    @classmethod
+    def INPUT_TYPES(s):
+        return define_preprocessor_inputs(
+            rm_nearest=INPUT.FLOAT(max=100.0),
+            rm_background=INPUT.FLOAT(max=100.0),
+            boost=INPUT.COMBO(["disable", "enable"]),
+            resolution=INPUT.RESOLUTION()
+        )
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+
+    CATEGORY = "ControlNet Preprocessors/Normal and Depth Estimators"
+
+    def execute(self, image, rm_nearest=0, rm_background=0, resolution=512, boost="disable", **kwargs):
+        from custom_controlnet_aux.leres import LeresDetector
+
+        model = LeresDetector.from_pretrained().to(model_management.get_torch_device())
+        out = common_annotator_call(model, image, resolution=resolution, thr_a=rm_nearest, thr_b=rm_background, boost=boost == "enable")
+        del model
+        return (out, )
+    
+NODE_CLASS_MAPPINGS = {
+    "LeReS-DepthMapPreprocessor": LERES_Depth_Map_Preprocessor
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LeReS-DepthMapPreprocessor": "LeReS Depth Map (enable boost for leres++)"
+}