diff --git a/face_swapper/README.md b/face_swapper/README.md
index 33f3e6d..5776b31 100644
--- a/face_swapper/README.md
+++ b/face_swapper/README.md
@@ -46,7 +46,7 @@ split_ratio = 0.9995
 embedder_path = .models/arcface.pt
 gazer_path = .models/gazer.pt
 motion_extractor_path = .models/motion_extractor.pt
-parser_path = .models/parser.pt
+face_parser_path = .models/face_parser.pt
 ```
 
 ```
diff --git a/face_swapper/config.ini b/face_swapper/config.ini
index 1566739..1ff4100 100644
--- a/face_swapper/config.ini
+++ b/face_swapper/config.ini
@@ -14,7 +14,7 @@ split_ratio =
 embedder_path =
 gazer_path =
 motion_extractor_path =
-parser_path =
+face_parser_path =
 
 [training.model.generator]
 identity_channels =
diff --git a/face_swapper/src/models/loss.py b/face_swapper/src/models/loss.py
index ac53975..ec84563 100644
--- a/face_swapper/src/models/loss.py
+++ b/face_swapper/src/models/loss.py
@@ -7,7 +7,7 @@ from torch import Tensor, nn
 from torchvision import transforms
 
 from ..helper import calc_embedding
-from ..types import Attributes, EmbedderModule, Gaze, GazerModule, MotionExtractorModule, ParserModule
+from ..types import Attributes, EmbedderModule, Gaze, GazerModule, MotionExtractorModule, FaceParserModule
 
 
 class DiscriminatorLoss(nn.Module):
@@ -180,10 +180,10 @@ class GazeLoss(nn.Module):
 
 
 class MaskLoss(nn.Module):
-	def __init__(self, config_parser : ConfigParser, parser : ParserModule) -> None:
+	def __init__(self, config_parser : ConfigParser, face_parser : FaceParserModule) -> None:
 		super().__init__()
 		self.config_output_size = config_parser.getint('training.model.generator', 'output_size')
-		self.parser = parser
+		self.face_parser = face_parser
 		self.mse_loss = nn.MSELoss()
 
 	def forward(self, target_tensor : Tensor, mask_tensor : Tensor) -> Tensor:
@@ -198,7 +198,7 @@ class MaskLoss(nn.Module):
 		face_mask_regions = torch.tensor([ 1, 2, 3, 4, 5, 10, 11, 12, 13 ]).to(target_tensor.device)
 
 		with torch.no_grad():
-			output_tensor = self.parser(target_tensor)[0]
+			output_tensor = self.face_parser(target_tensor)[0]
 			output_tensor = output_tensor.argmax(1)
 			output_tensor = torch.isin(output_tensor, face_mask_regions).to(target_tensor.dtype)
 			output_tensor = output_tensor.view(-1, 1, 512, 512)
diff --git a/face_swapper/src/training.py b/face_swapper/src/training.py
index a79d142..0f8ff94 100644
--- a/face_swapper/src/training.py
+++ b/face_swapper/src/training.py
@@ -32,14 +32,14 @@ class FaceSwapperTrainer(LightningModule):
 		self.config_embedder_path = config_parser.get('training.model', 'embedder_path')
 		self.config_gazer_path = config_parser.get('training.model', 'gazer_path')
 		self.config_motion_extractor_path = config_parser.get('training.model', 'motion_extractor_path')
-		self.config_parser_path = config_parser.get('training.model', 'parser_path')
+		self.config_face_parser_path = config_parser.get('training.model', 'parser_path')
 		self.config_accumulate_size = config_parser.getfloat('training.trainer', 'accumulate_size')
 		self.config_learning_rate = config_parser.getfloat('training.trainer', 'learning_rate')
 		self.config_preview_frequency = config_parser.getint('training.trainer', 'preview_frequency')
 		self.embedder = torch.jit.load(self.config_embedder_path, map_location = 'cpu').eval()
 		self.gazer = torch.jit.load(self.config_gazer_path, map_location = 'cpu').eval()
 		self.motion_extractor = torch.jit.load(self.config_motion_extractor_path, map_location = 'cpu').eval()
-		self.parser = torch.jit.load(self.config_parser_path, map_location = 'cpu').eval()
+		self.face_parser = torch.jit.load(self.config_face_parser_path, map_location ='cpu').eval()
 		self.generator = Generator(config_parser)
 		self.discriminator = Discriminator(config_parser)
 		self.masker = MaskNet(config_parser)
@@ -50,7 +50,7 @@ class FaceSwapperTrainer(LightningModule):
 		self.identity_loss = IdentityLoss(config_parser, self.embedder)
 		self.motion_loss = MotionLoss(config_parser, self.motion_extractor)
 		self.gaze_loss = GazeLoss(config_parser, self.gazer)
-		self.mask_loss = MaskLoss(config_parser, self.parser)
+		self.mask_loss = MaskLoss(config_parser, self.face_parser)
 		self.automatic_optimization = False
 
 	def forward(self, source_embedding : Embedding, target_tensor : Tensor) -> Tuple[Tensor, Tensor]:
diff --git a/face_swapper/src/types.py b/face_swapper/src/types.py
index bce6a9e..27708b7 100644
--- a/face_swapper/src/types.py
+++ b/face_swapper/src/types.py
@@ -16,7 +16,7 @@ GeneratorModule : TypeAlias = Module
 EmbedderModule : TypeAlias = Module
 GazerModule : TypeAlias = Module
 MotionExtractorModule : TypeAlias = Module
-ParserModule : TypeAlias = Module
+FaceParserModule : TypeAlias = Module
 
 OptimizerSet : TypeAlias = Any