diff --git a/README.MD b/README.MD
index 8d5c275..c3ab7df 100644
--- a/README.MD
+++ b/README.MD
@@ -80,7 +80,7 @@ When this error has occurred, please check the network environment.
 ## Update
 <font size="4">**If the dependency package error after updating, please reinstall the relevant dependency packages. </font><br />    
 
-
+* [ImageRemoveAlpha](#ImageRemoveAlpha) node add optional mask input.
 * Commit [HLFrequencyDetailRestore](#HLFrequencyDetailRestore) node, Using low-frequency filtering and high-frequency preserving to restore image details, the fusion is better.
 * Commit [AddGrain](#AddGrain) and [MaskGrain](#MaskGrain) nodes, Add noise to a picture or mask.
 * Commit [FilmV2](#FilmV2) node, The fastgrain method is added on the basis of the previous one, and the noise generation speed is 10 times faster.
@@ -1002,6 +1002,8 @@ Remove the alpha channel from the image and convert it to RGB mode. you can choo
 
 Node options:
 ![image](image/image_remove_alpha_node.jpg)    
+* RGBA_image: The input image supports RGBA or RGB modes.
+* mask: Optional input mask. If there is an input mask, it will be used first, ignoring the alpha that comes with RGBA_image.
 * fill_background: Whether to fill the background.
 * background_color<sup>4</sup>: Color of background.
 
diff --git a/README_CN.MD b/README_CN.MD
index f733dfa..fbf875f 100644
--- a/README_CN.MD
+++ b/README_CN.MD
@@ -80,6 +80,7 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git
 ## 更新说明
 <font size="4">**如果本插件更新后出现依赖包错误，请重新安装相关依赖包。
 
+* [ImageRemoveAlpha](#ImageRemoveAlpha) 节点增加mask可选输入。
 * 添加 [HLFrequencyDetailRestore](#HLFrequencyDetailRestore)节点, 使用低频滤波加保留高频来恢复图像细节，图像融合性更好。
 * 添加 [AddGrain](#AddGrain) 和 [MaskGrain](#MaskGrain) 节点, 为图片或遮罩添加噪声。
 * 添加 [FilmV2](#FilmV2) 节点, 在之前基础上增加了fastgrain方法，生成噪点速度加快了10倍。
@@ -990,6 +991,8 @@ GradientImage的V2升级版。
 
 节点选项说明:
 ![image](image/image_remove_alpha_node.jpg)    
+* RGBA_image: 输入的图像，支持RGBA或RGB模式。
+* mask:可选输入遮罩。如果有输入遮罩将优先使用, 忽略RGBA_image自带的alpha。
 * fill_background: 是否填充背景。
 * background_color<sup>4</sup>: 背景颜色。
 
diff --git a/image/image_remove_alpha_node.jpg b/image/image_remove_alpha_node.jpg
index c43d624..95b6c25 100644
Binary files a/image/image_remove_alpha_node.jpg and b/image/image_remove_alpha_node.jpg differ
diff --git a/py/image_remove_alpha.py b/py/image_remove_alpha.py
index f96f94f..7665ac0 100644
--- a/py/image_remove_alpha.py
+++ b/py/image_remove_alpha.py
@@ -17,6 +17,7 @@ class ImageRemoveAlpha:
                 "background_color": ("STRING", {"default": "#000000"}),
             },
             "optional": {
+                "mask": ("MASK",),  #
             }
         }
 
@@ -25,21 +26,27 @@ class ImageRemoveAlpha:
     FUNCTION = 'image_remove_alpha'
     CATEGORY = '😺dzNodes/LayerUtility'
 
-    def image_remove_alpha(self, RGBA_image, fill_background, background_color):
+    def image_remove_alpha(self, RGBA_image, fill_background, background_color, mask=None):
 
         ret_images = []
 
-        for i in RGBA_image:
-            i = torch.unsqueeze(i, 0)
-            _image = tensor2pil(i)
-            if _image.mode != "RGBA":
-                log(f"Error: {NODE_NAME} skipped, because the input image is not RGBA.", message_type='error')
-                return (RGBA_image)
+        for index, img in enumerate(RGBA_image):
+            _image = tensor2pil(img)
+
             if fill_background:
-                alpha = _image.split()[-1]
+                if mask is not None:
+                    m = mask[index].unsqueeze(0) if index < len(mask) else mask[-1].unsqueeze(0)
+                    alpha = tensor2pil(m).convert('L')
+                elif _image.mode == "RGBA":
+                    alpha = _image.split()[-1]
+                else:
+                    log(f"Error: {NODE_NAME} skipped, because the input image is not RGBA and mask is None.",
+                        message_type='error')
+                    return (RGBA_image,)
                 ret_image = Image.new('RGB', size=_image.size, color=background_color)
                 ret_image.paste(_image, mask=alpha)
                 ret_images.append(pil2tensor(ret_image))
+
             else:
                 ret_images.append(pil2tensor(tensor2pil(i).convert('RGB')))