diff --git a/py/AILab_BiRefNet.py b/py/AILab_BiRefNet.py
index 94e2a7e..8362331 100644
--- a/py/AILab_BiRefNet.py
+++ b/py/AILab_BiRefNet.py
@@ -22,7 +22,8 @@
 from safetensors.torch import load_file
 import cv2
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 # Add model path
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
diff --git a/py/AILab_BodySegment.py b/py/AILab_BodySegment.py
index 8e0082c..f10eed1 100644
--- a/py/AILab_BodySegment.py
+++ b/py/AILab_BodySegment.py
@@ -45,7 +45,8 @@ def RGB2RGBA(image: Image.Image, mask: Union[Image.Image, torch.Tensor]) -> Imag
         mask = mask.resize(image.size, Image.Resampling.LANCZOS)
     return Image.merge('RGBA', (*image.convert('RGB').split(), mask.convert('L')))
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
 
diff --git a/py/AILab_ClothSegment.py b/py/AILab_ClothSegment.py
index 62bd5bd..96813d6 100644
--- a/py/AILab_ClothSegment.py
+++ b/py/AILab_ClothSegment.py
@@ -44,7 +44,8 @@ def RGB2RGBA(image: Image.Image, mask: Union[Image.Image, torch.Tensor]) -> Imag
         mask = mask.resize(image.size, Image.Resampling.LANCZOS)
     return Image.merge('RGBA', (*image.convert('RGB').split(), mask.convert('L')))
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
 
diff --git a/py/AILab_FaceSegment.py b/py/AILab_FaceSegment.py
index 50c9e75..2e9c512 100644
--- a/py/AILab_FaceSegment.py
+++ b/py/AILab_FaceSegment.py
@@ -42,7 +42,8 @@ def RGB2RGBA(image: Image.Image, mask: Union[Image.Image, torch.Tensor]) -> Imag
         mask = mask.resize(image.size, Image.Resampling.LANCZOS)
     return Image.merge('RGBA', (*image.convert('RGB').split(), mask.convert('L')))
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
 
diff --git a/py/AILab_FashionSegment.py b/py/AILab_FashionSegment.py
index 0fcb829..2278dc6 100644
--- a/py/AILab_FashionSegment.py
+++ b/py/AILab_FashionSegment.py
@@ -38,7 +38,8 @@ def mask2image(mask: torch.Tensor) -> Image.Image:
         mask = mask.unsqueeze(0)
     return tensor2pil(mask)
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
 
diff --git a/py/AILab_RMBG.py b/py/AILab_RMBG.py
index 06c5a63..c2d8adb 100644
--- a/py/AILab_RMBG.py
+++ b/py/AILab_RMBG.py
@@ -31,7 +31,8 @@
 import cv2
 import types
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+from AILab_utils import get_device
+device = get_device()
 
 folder_paths.add_model_folder_path("rmbg", os.path.join(folder_paths.models_dir, "RMBG"))
 
diff --git a/py/AILab_SegmentV2.py b/py/AILab_SegmentV2.py
index 1d4ea58..1b8bbcf 100644
--- a/py/AILab_SegmentV2.py
+++ b/py/AILab_SegmentV2.py
@@ -15,6 +15,7 @@
 from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
 
 from AILab_ImageMaskTools import pil2tensor, tensor2pil
+from AILab_utils import get_device
 
 SAM_MODELS = {
     "sam_vit_h (2.56GB)": {
@@ -165,7 +166,7 @@ def __init__(self):
     def segment_v2(self, image, prompt, sam_model, dino_model, threshold=0.30,
                    mask_blur=0, mask_offset=0, background="Alpha", 
                    background_color="#222222", invert_output=False):
-        device = "cuda" if torch.cuda.is_available() else "cpu"
+        device = get_device()
 
         batch_size = image.shape[0] if len(image.shape) == 4 else 1
         if len(image.shape) == 3:
diff --git a/py/AILab_utils.py b/py/AILab_utils.py
index acc2e47..4b66c81 100644
--- a/py/AILab_utils.py
+++ b/py/AILab_utils.py
@@ -3,6 +3,17 @@
 import torch
 from PIL import Image
 from comfy.utils import common_upscale
+import comfy.model_management as mm
+
+
+def get_device():
+    """Return the torch device ComfyUI selected (CUDA, MPS, or CPU).
+
+    Defers to ComfyUI's device management instead of assuming CUDA-or-CPU, so nodes
+    follow whatever backend ComfyUI chose. Fixes models silently running on CPU on
+    Apple Silicon (MPS). See issues #200 and #135.
+    """
+    return mm.get_torch_device()
 
 
 def tensor2pil(image: torch.Tensor) -> Image.Image: