code: def prepare_extra_step_kwargs(self, generator, eta):
      # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
      # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.
      # eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502
      # and should be between [0, 1]
  
      extra_step_kwargs = {}
  
      accepts_eta = "eta" in set(
          inspect.signature(self.scheduler.step).parameters.keys()
      )
      if accepts_eta:
          extra_step_kwargs["eta"] = eta
  
      return extra_step_kwargs
  
file_path: optimum/optimum/pipelines/diffusers/pipeline_stable_diffusion_xl.py
imports: import inspect
  import logging
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  from diffusers.pipelines.stable_diffusion_xl import StableDiffusionXLPipelineOutput
  from .pipeline_utils import DiffusionPipelineMixin, rescale_noise_cfg
label_desc: Use image node_id 4 for calling the StableDiffusionXLPipelineMixin obj's underlying member method code with example usage: obj.prepare_extra_step_kwargs(generator, eta) and returns: extra_step_kwargs