Add typing to scheduling_sde_ve: init, set_timesteps, and set_sigmas function definitions (#412)

Add typing to scheduling_sde_ve init, set_timesteps, and set_sigmas functions
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

src/diffusers/schedulers/scheduling_sde_ve.py

@@ -65,13 +65,13 @@ class ScoreSdeVeScheduler(SchedulerMixin, ConfigMixin):
     @register_to_config
     def __init__(
         self,
-        num_train_timesteps=2000,
-        snr=0.15,
-        sigma_min=0.01,
-        sigma_max=1348,
-        sampling_eps=1e-5,
-        correct_steps=1,
-        tensor_format="pt",
+        num_train_timesteps: int = 2000,
+        snr: float = 0.15,
+        sigma_min: float = 0.01,
+        sigma_max: float = 1348.0,
+        sampling_eps: float = 1e-5,
+        correct_steps: int = 1,
+        tensor_format: str = "pt",
     ):
         # setable values
         self.timesteps = None
@@ -81,7 +81,7 @@ class ScoreSdeVeScheduler(SchedulerMixin, ConfigMixin):
         self.tensor_format = tensor_format
         self.set_format(tensor_format=tensor_format)
 
-    def set_timesteps(self, num_inference_steps, sampling_eps=None):
+    def set_timesteps(self, num_inference_steps: int, sampling_eps: float = None):
         """
         Sets the continuous timesteps used for the diffusion chain. Supporting function to be run before inference.
 
@@ -100,7 +100,9 @@ class ScoreSdeVeScheduler(SchedulerMixin, ConfigMixin):
         else:
             raise ValueError(f"`self.tensor_format`: {self.tensor_format} is not valid.")
 
-    def set_sigmas(self, num_inference_steps, sigma_min=None, sigma_max=None, sampling_eps=None):
+    def set_sigmas(
+        self, num_inference_steps: int, sigma_min: float = None, sigma_max: float = None, sampling_eps: float = None
+    ):
         """
         Sets the noise scales used for the diffusion chain. Supporting function to be run before inference.