diff --git a/src/python/openvino_genai/py_openvino_genai.pyi b/src/python/openvino_genai/py_openvino_genai.pyi
index 5d82fa89a3..e734f76460 100644
--- a/src/python/openvino_genai/py_openvino_genai.pyi
+++ b/src/python/openvino_genai/py_openvino_genai.pyi
@@ -202,7 +202,7 @@ class AutoencoderKL:
                         device (str): Device to run the model on (e.g., CPU, GPU).
                         kwargs: Device properties.
         """
-    def decode(self, latent: openvino._pyopenvino.Tensor) -> openvino._pyopenvino.Tensor:
+    def decode(self, latent: openvino._pyopenvino.Tensor, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def encode(self, image: openvino._pyopenvino.Tensor, generator: Generator) -> openvino._pyopenvino.Tensor:
         ...
@@ -255,7 +255,7 @@ class CLIPTextModel:
         ...
     def get_output_tensor(self, idx: int) -> openvino._pyopenvino.Tensor:
         ...
-    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool) -> openvino._pyopenvino.Tensor:
+    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int) -> CLIPTextModel:
         ...
@@ -304,7 +304,7 @@ class CLIPTextModelWithProjection:
         ...
     def get_output_tensor(self, idx: int) -> openvino._pyopenvino.Tensor:
         ...
-    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool) -> openvino._pyopenvino.Tensor:
+    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int) -> CLIPTextModelWithProjection:
         ...
@@ -513,7 +513,7 @@ class FluxTransformer2DModel:
         """
     def get_config(self) -> FluxTransformer2DModel.Config:
         ...
-    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor) -> openvino._pyopenvino.Tensor:
+    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int, height: int, width: int, tokenizer_model_max_length: int) -> FluxTransformer2DModel:
         ...
@@ -1332,7 +1332,7 @@ class SD3Transformer2DModel:
         """
     def get_config(self) -> SD3Transformer2DModel.Config:
         ...
-    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor) -> openvino._pyopenvino.Tensor:
+    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int, height: int, width: int, tokenizer_model_max_length: int) -> SD3Transformer2DModel:
         ...
@@ -1529,7 +1529,7 @@ class T5EncoderModel:
         """
     def get_output_tensor(self, idx: int) -> openvino._pyopenvino.Tensor:
         ...
-    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool, max_sequence_length: int) -> openvino._pyopenvino.Tensor:
+    def infer(self, pos_prompt: str, neg_prompt: str, do_classifier_free_guidance: bool, max_sequence_length: int, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int, max_sequence_length: int) -> T5EncoderModel:
         ...
@@ -1736,7 +1736,7 @@ class UNet2DConditionModel:
         ...
     def get_config(self) -> UNet2DConditionModel.Config:
         ...
-    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor) -> openvino._pyopenvino.Tensor:
+    def infer(self, sample: openvino._pyopenvino.Tensor, timestep: openvino._pyopenvino.Tensor, infer_duration: float) -> openvino._pyopenvino.Tensor:
         ...
     def reshape(self, batch_size: int, height: int, width: int, tokenizer_model_max_length: int) -> UNet2DConditionModel:
         ...