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20 changes: 11 additions & 9 deletions src/diffusers/schedulers/scheduling_sde_ve.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -81,7 +81,7 @@ def __init__(
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.

Expand All @@ -100,7 +100,9 @@ def set_timesteps(self, num_inference_steps, sampling_eps=None):
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.

Expand Down