diff --git a/modules/face/instantid_model.py b/modules/face/instantid_model.py
index 2511ec27a..be17b709a 100644
--- a/modules/face/instantid_model.py
+++ b/modules/face/instantid_model.py
@@ -545,9 +545,9 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
     @replace_example_docstring(EXAMPLE_DOC_STRING)
     def __call__(
         self,
-        prompt: str | list[str] = None,
+        prompt: str | list[str] | None = None,
         prompt_2: str | list[str] | None = None,
-        image: PipelineImageInput = None,
+        image: PipelineImageInput | None = None,
         height: int | None = None,
         width: int | None = None,
         num_inference_steps: int = 50,
@@ -570,15 +570,15 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
         guess_mode: bool = False,
         control_guidance_start: float | list[float] = 0.0,
         control_guidance_end: float | list[float] = 1.0,
-        original_size: tuple[int, int] = None,
+        original_size: tuple[int, int] | None = None,
         crops_coords_top_left: tuple[int, int] = (0, 0),
-        target_size: tuple[int, int] = None,
+        target_size: tuple[int, int] | None = None,
         negative_original_size: tuple[int, int] | None = None,
         negative_crops_coords_top_left: tuple[int, int] = (0, 0),
         negative_target_size: tuple[int, int] | None = None,
         clip_skip: int | None = None,
         callback_on_step_end: Callable[[int, int, dict], None] | None = None,
-        callback_on_step_end_tensor_inputs: list[str] = None,
+        callback_on_step_end_tensor_inputs: list[str] | None = None,
         **kwargs,
     ):
         r"""
diff --git a/modules/face/photomaker_pipeline.py b/modules/face/photomaker_pipeline.py
index 191c4f352..82daefbd7 100644
--- a/modules/face/photomaker_pipeline.py
+++ b/modules/face/photomaker_pipeline.py
@@ -445,13 +445,13 @@ class PhotoMakerStableDiffusionXLPipeline(StableDiffusionXLPipeline):
     @torch.no_grad()
     def __call__(
         self,
-        prompt: str | list[str] = None,
+        prompt: str | list[str] | None = None,
         prompt_2: str | list[str] | None = None,
         height: int | None = None,
         width: int | None = None,
         num_inference_steps: int = 50,
-        timesteps: list[int] = None,
-        sigmas: list[float] = None,
+        timesteps: list[int] | None = None,
+        sigmas: list[float] | None = None,
         denoising_end: float | None = None,
         guidance_scale: float = 5.0,
         negative_prompt: str | list[str] | None = None,
@@ -478,7 +478,7 @@ class PhotoMakerStableDiffusionXLPipeline(StableDiffusionXLPipeline):
         negative_target_size: tuple[int, int] | None = None,
         clip_skip: int | None = None,
         callback_on_step_end: Callable[[int, int, dict], None] | PipelineCallback | MultiPipelineCallbacks | None = None,
-        callback_on_step_end_tensor_inputs: list[str] = None,
+        callback_on_step_end_tensor_inputs: list[str] | None = None,
         # Added parameters (for PhotoMaker)
         input_id_images: PipelineImageInput = None,
         start_merge_step: int = 10,