diff --git a/pointcloud_nodes.py b/pointcloud_nodes.py
index 0866c0b..37dc0af 100644
--- a/pointcloud_nodes.py
+++ b/pointcloud_nodes.py
@@ -504,24 +504,40 @@ class LoadPointCloud:
             arr = np.load(file_path)
             tensor_pc = torch.from_numpy(arr)
             return (tensor_pc,)
-        coords = []
-        colors = []
-        with open(file_path, 'r') as f:
-            line = f.readline().strip()
-            while not line.startswith("end_header"):
+
+        if o3d is None:
+            logging.warning("[camera-comfyUI] open3d is not installed. Falling back to manual PLY parser.")
+            coords = []
+            colors = []
+            with open(file_path, 'r') as f:
                 line = f.readline().strip()
-            for line in f:
-                parts = line.strip().split()
-                if len(parts) < 7:
-                    continue
-                x, y, z = map(float, parts[0:3])
-                r, g, b, a = map(int, parts[3:7])
-                coords.append((x, y, z))
-                colors.append((r, g, b, a))
-        np_coords  = np.array(coords,  dtype=np.float32)
-        np_colors  = np.array(colors,  dtype=np.float32)/255.0
-        combined   = np.concatenate([np_coords, np_colors], axis=1)
-        tensor_pc  = torch.from_numpy(combined)
+                while not line.startswith("end_header"):
+                    line = f.readline().strip()
+                for line in f:
+                    parts = line.strip().split()
+                    if len(parts) < 7:
+                        continue
+                    x, y, z = map(float, parts[0:3])
+                    r, g, b, a = map(float, parts[3:7])
+                    coords.append((x, y, z))
+                    colors.append((r, g, b, a))
+            np_coords = np.array(coords, dtype=np.float32)
+            np_colors = np.array(colors, dtype=np.float32)
+        else:
+            pc = o3d.t.io.read_point_cloud(file_path)
+            np_coords = pc.point["positions"].numpy().astype(np.float32)
+            if "colors" in pc.point:
+                cols = pc.point["colors"].numpy().astype(np.float32)
+            else:
+                cols = np.ones((np_coords.shape[0], 3), dtype=np.float32)
+            if "alpha" in pc.point:
+                alpha = pc.point["alpha"].numpy().astype(np.float32)
+            else:
+                alpha = np.ones((np_coords.shape[0], 1), dtype=np.float32)
+            np_colors = np.concatenate([cols, alpha], axis=1)
+
+        combined = np.concatenate([np_coords, np_colors], axis=1)
+        tensor_pc = torch.from_numpy(combined)
         return (tensor_pc,)
 
     @classmethod
@@ -586,24 +602,36 @@ class SavePointCloud:
         os.makedirs(full_output_folder, exist_ok=True)
         base_name = filename.replace("%batch_num%", "0")
         if save_as == "ply":
-            ply_name  = f"{base_name}_{counter:05}.ply"
-            ply_path  = os.path.join(full_output_folder, ply_name)
-            coords = pointcloud[:, :3].cpu().numpy()
-            colors = pointcloud[:, 3:].cpu().numpy().clip(0,1)
-            with open(ply_path, 'w') as f:
-                f.write("ply\n")
-                f.write("format ascii 1.0\n")
-                f.write(f"element vertex {coords.shape[0]}\n")
-                f.write("property float x\n")
-                f.write("property float y\n")
-                f.write("property float z\n")
-                f.write("property uchar red\n")
-                f.write("property uchar green\n")
-                f.write("property uchar blue\n")
-                f.write("property uchar alpha\n")
-                f.write("end_header\n")
-                for (x,y,z), (r,g,b,a) in zip(coords, colors):
-                    f.write(f"{x} {y} {z} {int(r*255)} {int(g*255)} {int(b*255)} {int(a*255)}\n")
+            ply_name = f"{base_name}_{counter:05}.ply"
+            ply_path = os.path.join(full_output_folder, ply_name)
+            coords = pointcloud[:, :3].cpu().numpy().astype(np.float32)
+            colors = pointcloud[:, 3:].cpu().numpy().clip(0, 1).astype(np.float32)
+
+            if o3d is None:
+                logging.warning("[camera-comfyUI] open3d is not installed. Falling back to manual ASCII PLY writer.")
+                with open(ply_path, 'w') as f:
+                    f.write("ply\n")
+                    f.write("format ascii 1.0\n")
+                    f.write(f"element vertex {coords.shape[0]}\n")
+                    f.write("property float x\n")
+                    f.write("property float y\n")
+                    f.write("property float z\n")
+                    f.write("property float red\n")
+                    f.write("property float green\n")
+                    f.write("property float blue\n")
+                    f.write("property float alpha\n")
+                    f.write("end_header\n")
+                    for (x, y, z), (r, g, b, a) in zip(coords, colors):
+                        f.write(f"{x} {y} {z} {r} {g} {b} {a}\n")
+            else:
+                pc = o3d.t.geometry.PointCloud()
+                pc.point["positions"] = o3d.core.Tensor(coords, o3d.core.float32)
+                pc.point["colors"] = o3d.core.Tensor(colors[:, :3], o3d.core.float32)
+                if colors.shape[1] > 3:
+                    pc.point["alpha"] = o3d.core.Tensor(colors[:, 3:], o3d.core.float32)
+                else:
+                    pc.point["alpha"] = o3d.core.Tensor(np.ones((coords.shape[0], 1), dtype=np.float32), o3d.core.float32)
+                o3d.t.io.write_point_cloud(ply_path, pc)
             file_name = ply_name
         else:
             npy_name = f"{base_name}_{counter:05}.npy"