code: def __init__(self, model, device=torch.device("cuda"), **kwargs):
      super().__init__()
      self.model = model
      self.device = device
      to_torch = (
          lambda x: x.clone()
          .detach()
          .to(torch.float32)
          .to(model.device)
      )
      self.register_buffer(
          "alphas_cumprod", to_torch(model.alphas_cumprod)
      )
  
imports: import torch
  from .dpm_solver import NoiseScheduleVP, model_wrapper, DPM_Solver
label_desc: Use image node_id 1 to create a new DPMSolverSampler object from inherited base classes: object with example: obj = DPMSolverSampler(model, device)