diff --git a/gen_img_diffusers.py b/gen_img_diffusers.py
index 820028347..a596a0494 100644
--- a/gen_img_diffusers.py
+++ b/gen_img_diffusers.py
@@ -2372,7 +2372,7 @@ def __getattr__(self, item):
         elif args.network_merge_n_models:
             network_merge = args.network_merge_n_models
         else:
-            network_merge = None
+            network_merge = 0
 
         for i, network_module in enumerate(args.network_module):
             print("import network module:", network_module)
@@ -2724,9 +2724,18 @@ def resize_images(imgs, size):
 
         size = None
         for i, network in enumerate(networks):
-            if i < 3:
+            if (i < 3 and args.network_regional_mask_max_color_codes is None) or i < args.network_regional_mask_max_color_codes:
                 np_mask = np.array(mask_images[0])
-                np_mask = np_mask[:, :, i]
+
+                if args.network_regional_mask_max_color_codes:
+                    # カラーコードでマスクを指定する
+                    ch0 = (i + 1) & 1
+                    ch1 = ((i + 1) >> 1) & 1
+                    ch2 = ((i + 1) >> 2) & 1
+                    np_mask = np.all(np_mask == np.array([ch0, ch1, ch2]) * 255, axis=2)
+                    np_mask = np_mask.astype(np.uint8) * 255
+                else:
+                    np_mask = np_mask[:, :, i]
                 size = np_mask.shape
             else:
                 np_mask = np.full(size, 255, dtype=np.uint8)
@@ -3386,6 +3395,12 @@ def setup_parser() -> argparse.ArgumentParser:
     parser.add_argument(
         "--network_pre_calc", action="store_true", help="pre-calculate network for generation / ネットワークのあらかじめ計算して生成する"
     )
+    parser.add_argument(
+        "--network_regional_mask_max_color_codes",
+        type=int,
+        default=None,
+        help="max color codes for regional mask (default is None, mask by channel) / regional maskの最大色数（デフォルトはNoneでチャンネルごとのマスク）",
+    )
     parser.add_argument(
         "--textual_inversion_embeddings",
         type=str,
diff --git a/sdxl_gen_img.py b/sdxl_gen_img.py
index 2d652bc82..c31ae0072 100755
--- a/sdxl_gen_img.py
+++ b/sdxl_gen_img.py
@@ -1543,7 +1543,7 @@ def __getattr__(self, item):
         elif args.network_merge_n_models:
             network_merge = args.network_merge_n_models
         else:
-            network_merge = None
+            network_merge = 0
         print(f"network_merge: {network_merge}")
 
         for i, network_module in enumerate(args.network_module):
@@ -1877,9 +1877,18 @@ def resize_images(imgs, size):
 
         size = None
         for i, network in enumerate(networks):
-            if i < 3:
+            if (i < 3 and args.network_regional_mask_max_color_codes is None) or i < args.network_regional_mask_max_color_codes:
                 np_mask = np.array(mask_images[0])
-                np_mask = np_mask[:, :, i]
+
+                if args.network_regional_mask_max_color_codes:
+                    # カラーコードでマスクを指定する
+                    ch0 = (i + 1) & 1
+                    ch1 = ((i + 1) >> 1) & 1
+                    ch2 = ((i + 1) >> 2) & 1
+                    np_mask = np.all(np_mask == np.array([ch0, ch1, ch2]) * 255, axis=2)
+                    np_mask = np_mask.astype(np.uint8) * 255
+                else:
+                    np_mask = np_mask[:, :, i]
                 size = np_mask.shape
             else:
                 np_mask = np.full(size, 255, dtype=np.uint8)
@@ -2635,6 +2644,12 @@ def setup_parser() -> argparse.ArgumentParser:
     parser.add_argument(
         "--network_pre_calc", action="store_true", help="pre-calculate network for generation / ネットワークのあらかじめ計算して生成する"
     )
+    parser.add_argument(
+        "--network_regional_mask_max_color_codes",
+        type=int,
+        default=None,
+        help="max color codes for regional mask (default is None, mask by channel) / regional maskの最大色数（デフォルトはNoneでチャンネルごとのマスク）",
+    )
     parser.add_argument(
         "--textual_inversion_embeddings",
         type=str,