diff --git a/generative/inferers/inferer.py b/generative/inferers/inferer.py
index 5d06b12a..40c3459b 100644
--- a/generative/inferers/inferer.py
+++ b/generative/inferers/inferer.py
@@ -69,7 +69,7 @@ def sample(
         save_intermediates: bool | None = False,
         intermediate_steps: int | None = 100,
         conditioning: torch.Tensor | None = None,
-        verbose: bool | None = True,
+        verbose: bool = True,
     ) -> torch.Tensor | tuple[torch.Tensor, list[torch.Tensor]]:
         """
         Args:
@@ -114,7 +114,7 @@ def get_likelihood(
         conditioning: torch.Tensor | None = None,
         original_input_range: tuple | None = (0, 255),
         scaled_input_range: tuple | None = (0, 1),
-        verbose: bool | None = True,
+        verbose: bool = True,
     ) -> torch.Tensor | tuple[torch.Tensor, list[torch.Tensor]]:
         """
         Computes the log-likelihoods for an input.
@@ -321,7 +321,7 @@ def sample(
         save_intermediates: bool | None = False,
         intermediate_steps: int | None = 100,
         conditioning: torch.Tensor | None = None,
-        verbose: bool | None = True,
+        verbose: bool = True,
     ) -> torch.Tensor | tuple[torch.Tensor, list[torch.Tensor]]:
         """
         Args:
@@ -371,7 +371,7 @@ def get_likelihood(
         conditioning: torch.Tensor | None = None,
         original_input_range: tuple | None = (0, 255),
         scaled_input_range: tuple | None = (0, 1),
-        verbose: bool | None = True,
+        verbose: bool = True,
         resample_latent_likelihoods: bool = False,
         resample_interpolation_mode: str = "nearest",
     ) -> torch.Tensor | tuple[torch.Tensor, list[torch.Tensor]]:
@@ -471,7 +471,7 @@ def sample(
         conditioning: torch.Tensor | None = None,
         temperature: float = 1.0,
         top_k: int | None = None,
-        verbose: bool | None = True,
+        verbose: bool = True,
     ) -> torch.Tensor:
         """
         Sampling function for the VQVAE + Transformer model.