diff --git a/comfy_extras/v3/nodes_controlnet.py b/comfy_extras/v3/nodes_controlnet.py
new file mode 100644
index 000000000..12d91a1ce
--- /dev/null
+++ b/comfy_extras/v3/nodes_controlnet.py
@@ -0,0 +1,125 @@
+from comfy.cldm.control_types import UNION_CONTROLNET_TYPES
+import comfy.utils
+from comfy_api.v3 import io
+
+
+class ControlNetApplyAdvanced_V3(io.ComfyNodeV3):
+    @classmethod
+    def DEFINE_SCHEMA(cls):
+        return io.SchemaV3(
+            node_id="ControlNetApplyAdvanced_V3",
+            display_name="Apply ControlNet _V3",
+            category="conditioning/controlnet",
+            inputs=[
+                io.Conditioning.Input("positive"),
+                io.Conditioning.Input("negative"),
+                io.ControlNet.Input("control_net"),
+                io.Image.Input("image"),
+                io.Float.Input("strength", default=1.0, min=0.0, max=10.0, step=0.01),
+                io.Float.Input("start_percent", default=0.0, min=0.0, max=1.0, step=0.001),
+                io.Float.Input("end_percent", default=1.0, min=0.0, max=1.0, step=0.001),
+                io.Vae.Input("vae", optional=True),
+            ],
+            outputs=[
+                io.Conditioning.Output("positive_out", display_name="positive"),
+                io.Conditioning.Output("negative_out", display_name="negative"),
+            ],
+        )
+
+    @classmethod
+    def execute(cls, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]) -> io.NodeOutput:
+        if strength == 0:
+            return io.NodeOutput(positive, negative)
+
+        control_hint = image.movedim(-1,1)
+        cnets = {}
+
+        out = []
+        for conditioning in [positive, negative]:
+            c = []
+            for t in conditioning:
+                d = t[1].copy()
+
+                prev_cnet = d.get('control', None)
+                if prev_cnet in cnets:
+                    c_net = cnets[prev_cnet]
+                else:
+                    c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae=vae, extra_concat=extra_concat)
+                    c_net.set_previous_controlnet(prev_cnet)
+                    cnets[prev_cnet] = c_net
+
+                d['control'] = c_net
+                d['control_apply_to_uncond'] = False
+                n = [t[0], d]
+                c.append(n)
+            out.append(c)
+        return io.NodeOutput(out[0], out[1])
+
+
+class SetUnionControlNetType_V3(io.ComfyNodeV3):
+    @classmethod
+    def DEFINE_SCHEMA(cls):
+        return io.SchemaV3(
+            node_id="SetUnionControlNetType_V3",
+            category="conditioning/controlnet",
+            inputs=[
+                io.ControlNet.Input("control_net"),
+                io.Combo.Input("type", options=["auto"] + list(UNION_CONTROLNET_TYPES.keys())),
+            ],
+            outputs=[
+                io.ControlNet.Output("control_net_out"),
+            ],
+        )
+
+    @classmethod
+    def execute(cls, control_net, type) -> io.NodeOutput:
+        control_net = control_net.copy()
+        type_number = UNION_CONTROLNET_TYPES.get(type, -1)
+        if type_number >= 0:
+            control_net.set_extra_arg("control_type", [type_number])
+        else:
+            control_net.set_extra_arg("control_type", [])
+
+        return io.NodeOutput(control_net)
+
+
+class ControlNetInpaintingAliMamaApply_V3(ControlNetApplyAdvanced_V3):
+    @classmethod
+    def DEFINE_SCHEMA(cls):
+        return io.SchemaV3(
+            node_id="ControlNetInpaintingAliMamaApply_V3",
+            category="conditioning/controlnet",
+            inputs=[
+                io.Conditioning.Input("positive"),
+                io.Conditioning.Input("negative"),
+                io.ControlNet.Input("control_net"),
+                io.Vae.Input("vae"),
+                io.Image.Input("image"),
+                io.Mask.Input("mask"),
+                io.Float.Input("strength", default=1.0, min=0.0, max=10.0, step=0.01),
+                io.Float.Input("start_percent", default=0.0, min=0.0, max=1.0, step=0.001),
+                io.Float.Input("end_percent", default=1.0, min=0.0, max=1.0, step=0.001),
+            ],
+            outputs=[
+                io.Conditioning.Output("positive_out", display_name="positive"),
+                io.Conditioning.Output("negative_out", display_name="negative"),
+            ],
+        )
+
+    @classmethod
+    def execute(cls, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent) -> io.NodeOutput:
+        extra_concat = []
+        if control_net.concat_mask:
+            mask = 1.0 - mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1]))
+            mask_apply = comfy.utils.common_upscale(mask, image.shape[2], image.shape[1], "bilinear", "center").round()
+            image = image * mask_apply.movedim(1, -1).repeat(1, 1, 1, image.shape[3])
+            extra_concat = [mask]
+
+        return super().execute(positive, negative, control_net, image, strength, start_percent, end_percent, vae=vae, extra_concat=extra_concat)
+
+
+NODES_LIST: list[type[io.ComfyNodeV3]] = [
+    ControlNetApplyAdvanced_V3,
+    SetUnionControlNetType_V3,
+    ControlNetInpaintingAliMamaApply_V3,
+]
diff --git a/nodes.py b/nodes.py
index 4e4dae917..428b32bea 100644
--- a/nodes.py
+++ b/nodes.py
@@ -2299,6 +2299,7 @@ def init_builtin_extra_nodes():
         "nodes_tcfg.py",
         "nodes_v3_test.py",
         "nodes_v1_test.py",
+        "v3/nodes_controlnet.py",
         "v3/nodes_images.py",
         "v3/nodes_mask.py",
         "v3/nodes_webcam.py",