init

node_wrappers/pidinet.py

@@ -0,0 +1,30 @@
+from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
+import comfy.model_management as model_management
+
+class PIDINET_Preprocessor:
+    @classmethod
+    def INPUT_TYPES(s):
+        return define_preprocessor_inputs(
+            safe=INPUT.COMBO(["enable", "disable"]),
+            resolution=INPUT.RESOLUTION()
+        )
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "execute"
+
+    CATEGORY = "ControlNet Preprocessors/Line Extractors"
+
+    def execute(self, image, safe, resolution=512, **kwargs):
+        from custom_controlnet_aux.pidi import PidiNetDetector
+
+        model = PidiNetDetector.from_pretrained().to(model_management.get_torch_device())
+        out = common_annotator_call(model, image, resolution=resolution, safe = safe == "enable")
+        del model
+        return (out, )
+
+NODE_CLASS_MAPPINGS = {
+    "PiDiNetPreprocessor": PIDINET_Preprocessor,
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "PiDiNetPreprocessor": "PiDiNet Soft-Edge Lines"
+}