code: def __init__(
      self,
      discretization_config: Union[Dict, ListConfig, OmegaConf],
      num_steps: Union[int, None] = None,
      guider_config: Union[Dict, ListConfig, OmegaConf, None] = None,
      verbose: bool = False,
      device: str = "cuda",
  ):
      self.num_steps = num_steps
      self.discretization = instantiate_from_config(
          discretization_config
      )
      self.guider = instantiate_from_config(
          default(
              guider_config,
              DEFAULT_GUIDER,
          )
      )
      self.verbose = verbose
      self.device = device
  
imports: from typing import Dict, Union
  import torch
  from omegaconf import ListConfig, OmegaConf
  from tqdm import tqdm
  from ...modules.diffusionmodules.sampling_utils import get_ancestral_step, linear_multistep_coeff, to_d, to_neg_log_sigma, to_sigma
  from ...util import append_dims, default, instantiate_from_config
label_desc: Use image node_id 1 to create a new BaseDiffusionSampler object  with example: obj = BaseDiffusionSampler(discretization_config, num_steps, guider_config, verbose, device)