diff --git a/embedding_converter/README.md b/embedding_converter/README.md
index e74162e..873b2e3 100644
--- a/embedding_converter/README.md
+++ b/embedding_converter/README.md
@@ -69,6 +69,7 @@ file_pattern = arcface_converter_simswap_{epoch:02d}_{val_loss:.4f}
 directory_path = .exports
 source_path = .outputs/last.ckpt
 target_path = .exports/arcface_converter_simswap.onnx
+ir_version = 10
 opset_version = 15
 ```
 
diff --git a/embedding_converter/config.ini b/embedding_converter/config.ini
index 4bda383..71166fd 100644
--- a/embedding_converter/config.ini
+++ b/embedding_converter/config.ini
@@ -29,6 +29,7 @@ file_pattern =
 directory_path =
 source_path =
 target_path =
+ir_version =
 opset_version =
 
 [execution]
diff --git a/embedding_converter/src/exporting.py b/embedding_converter/src/exporting.py
index bb01e17..8cb0532 100644
--- a/embedding_converter/src/exporting.py
+++ b/embedding_converter/src/exporting.py
@@ -13,10 +13,12 @@ def export() -> None:
 	directory_path = CONFIG.get('exporting', 'directory_path')
 	source_path = CONFIG.get('exporting', 'source_path')
 	target_path = CONFIG.get('exporting', 'target_path')
+	ir_version = CONFIG.getint('exporting', 'ir_version')
 	opset_version = CONFIG.getint('exporting', 'opset_version')
 
 	makedirs(directory_path, exist_ok = True)
-	embedding_converter_trainer = EmbeddingConverterTrainer.load_from_checkpoint(source_path, map_location = 'cpu')
-	embedding_converter_trainer.eval()
+	model = EmbeddingConverterTrainer.load_from_checkpoint(source_path, map_location = 'cpu')
+	model.eval()
+	model.ir_version = ir_version
 	input_tensor = torch.randn(1, 512)
-	torch.onnx.export(embedding_converter_trainer, input_tensor, target_path, input_names = [ 'input' ], output_names = [ 'output' ], opset_version = opset_version)
+	torch.onnx.export(model, input_tensor, target_path, input_names = [ 'input' ], output_names = [ 'output' ], opset_version = opset_version)
diff --git a/face_swapper/README.md b/face_swapper/README.md
index 332b175..da0618d 100644
--- a/face_swapper/README.md
+++ b/face_swapper/README.md
@@ -92,6 +92,7 @@ validation_frequency = 1000
 directory_path = .exports
 source_path = .outputs/last.ckpt
 target_path = .exports/face_swapper.onnx
+ir_version = 10
 opset_version = 15
 ```
 
diff --git a/face_swapper/config.ini b/face_swapper/config.ini
index faa6254..01e343f 100644
--- a/face_swapper/config.ini
+++ b/face_swapper/config.ini
@@ -48,6 +48,7 @@ validation_frequency =
 directory_path =
 source_path =
 target_path =
+ir_version =
 opset_version =
 
 [inferencing]
diff --git a/face_swapper/src/exporting.py b/face_swapper/src/exporting.py
index 311fdc8..d4c12ec 100644
--- a/face_swapper/src/exporting.py
+++ b/face_swapper/src/exporting.py
@@ -13,6 +13,7 @@ def export() -> None:
 	directory_path = CONFIG.get('exporting', 'directory_path')
 	source_path = CONFIG.get('exporting', 'source_path')
 	target_path = CONFIG.get('exporting', 'target_path')
+	ir_version = CONFIG.getint('exporting', 'ir_version')
 	opset_version = CONFIG.getint('exporting', 'opset_version')
 
 	makedirs(directory_path, exist_ok = True)
@@ -20,6 +21,7 @@ def export() -> None:
 	model = AdaptiveEmbeddingIntegrationNetwork()
 	model.load_state_dict(state_dict)
 	model.eval()
+	model.ir_version = ir_version
 	source_tensor = torch.randn(1, 512)
 	target_tensor = torch.randn(1, 3, 256, 256)
-	torch.onnx.export(model, (target_tensor, source_tensor), target_path, input_names = [ 'target', 'source' ], output_names = [ 'output' ], opset_version = opset_version)
+	torch.onnx.export(model, (source_tensor, target_tensor), target_path, input_names = [ 'source', 'target' ], output_names = [ 'output' ], opset_version = opset_version)