diff --git a/py/imagefunc.py b/py/imagefunc.py
index 2168a02..65239e4 100644
--- a/py/imagefunc.py
+++ b/py/imagefunc.py
@@ -138,9 +138,11 @@ def tensor2cv2(image:torch.Tensor) -> np.array:
     return cv2.cvtColor(cv2image, cv2.COLOR_RGB2BGR)
 
 def image2mask(image:Image) -> torch.Tensor:
-    if image.mode != 'L':
-        image = image.convert('L')
-    return torch.tensor([pil2tensor(image)[0, :, :].tolist()])
+    if image.mode == 'L':
+        return torch.tensor([pil2tensor(image)[0, :, :].tolist()])
+    else:
+        image = image.convert('RGB').split()[0]
+        return torch.tensor([pil2tensor(image)[0, :, :].tolist()])
 
 def mask2image(mask:torch.Tensor)  -> Image:
     masks = tensor2np(mask)
diff --git a/pyproject.toml b/pyproject.toml
index 4757538..b0861e7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_layerstyle"
 description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
-version = "1.0.82"
+version = "1.0.83"
 license = "MIT"
 dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "segment_anything", "timm", "addict", "yapf", "colour-science", "wget", "mediapipe", "loguru", "typer_config", "fastapi", "rich", "google-generativeai", "diffusers", "omegaconf", "tqdm", "transformers", "kornia", "image-reward", "ultralytics", "blend_modes", "blind-watermark", "qrcode", "pyzbar", "transparent-background", "huggingface_hub", "accelerate", "bitsandbytes", "torchscale", "wandb", "hydra-core", "psd-tools", "inference-cli[yolo-world]", "inference-gpu[yolo-world]", "onnxruntime", "peft", "iopath"]