diff --git a/IPAdapterPlus.py b/IPAdapterPlus.py
index ce3517a..ab4270f 100644
--- a/IPAdapterPlus.py
+++ b/IPAdapterPlus.py
@@ -213,6 +213,7 @@ def ipadapter_execute(model,
                       clipvision,
                       insightface=None,
                       image=None,
+					  style_image_mask=None,
                       image_composition=None,
                       image_negative=None,
                       weight=1.0,
@@ -355,8 +356,17 @@ def ipadapter_execute(model,
         image = torch.stack(image)
         del image_iface, face
 
+    # style image mask
+    if style_image_mask is not None and style_image_mask.shape[1:3] != torch.Size([clipvision_size, clipvision_size]):
+        mask = style_image_mask.unsqueeze(1)
+        transforms = T.Compose([
+        T.CenterCrop(min(mask.shape[2], mask.shape[3])),
+        T.Resize((clipvision_size, clipvision_size), interpolation=T.InterpolationMode.BICUBIC, antialias=True),
+        ])
+    style_image_mask = transforms(mask).squeeze(1)
+
     if image is not None:
-        img_cond_embeds = encode_image_masked(clipvision, image, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)
+        img_cond_embeds = encode_image_masked(clipvision, image, mask=style_image_mask, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)
         if image_composition is not None:
             img_comp_cond_embeds = encode_image_masked(clipvision, image_composition, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)
 
@@ -747,6 +757,7 @@ def INPUT_TYPES(s):
                 "image_negative": ("IMAGE",),
                 "attn_mask": ("MASK",),
                 "clip_vision": ("CLIP_VISION",),
+				"style_image_mask": ("MASK",),
             }
         }
 
@@ -754,7 +765,7 @@ def INPUT_TYPES(s):
     FUNCTION = "apply_ipadapter"
     CATEGORY = "ipadapter"
 
-    def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0, weight_style=1.0, weight_composition=1.0, expand_style=False, weight_type="linear", combine_embeds="concat", weight_faceidv2=None, image=None, image_style=None, image_composition=None, image_negative=None, clip_vision=None, attn_mask=None, insightface=None, embeds_scaling='V only', layer_weights=None, ipadapter_params=None, encode_batch_size=0, style_boost=None, composition_boost=None, enhance_tiles=1, enhance_ratio=1.0, weight_kolors=1.0):
+    def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0, weight_style=1.0, weight_composition=1.0, expand_style=False, weight_type="linear", combine_embeds="concat", weight_faceidv2=None, image=None, style_image_mask=None, image_style=None, image_composition=None, image_negative=None, clip_vision=None, attn_mask=None, insightface=None, embeds_scaling='V only', layer_weights=None, ipadapter_params=None, encode_batch_size=0, style_boost=None, composition_boost=None, enhance_tiles=1, enhance_ratio=1.0, weight_kolors=1.0):
         is_sdxl = isinstance(model.model, (comfy.model_base.SDXL, comfy.model_base.SDXLRefiner, comfy.model_base.SDXL_instructpix2pix))
 
         if 'ipadapter' in ipadapter:
@@ -797,6 +808,7 @@ def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0
 
             ipa_args = {
                 "image": image[i],
+				"style_image_mask": style_image_mask if not isinstance(style_image_mask, list) else style_image_mask[i],
                 "image_composition": image_composition,
                 "image_negative": image_negative,
                 "weight": weight[i],