code: def __init__(
      self,
      num_train_timesteps=2000,
      beta_min=0.1,
      beta_max=20,
      sampling_eps=1e-3,
      tensor_format="np",
  ):
      self.sigmas = None
      self.discrete_sigmas = None
      self.timesteps = None
  
file_path: PaddleHub/modules/image/text_to_image/stable_diffusion_img2img/diffusers/schedulers/scheduling_sde_vp.py
imports: import numpy
  import paddle
  from ..configuration_utils import ConfigMixin
  from ..configuration_utils import register_to_config
  from .scheduling_utils import SchedulerMixin
label_desc: Use image node_id 1 to create a new ScoreSdeVpScheduler object from inherited base classes: SchedulerMixin, ConfigMixin with example: obj = ScoreSdeVpScheduler(num_train_timesteps, beta_min, beta_max, sampling_eps, tensor_format)