code: def get_available_schedulers():
      schedulers = {}
      for scheduler in [
          DDIMScheduler,
          DPMSolverMultistepScheduler,
          EulerAncestralDiscreteScheduler,
          EulerDiscreteScheduler,
          LMSDiscreteScheduler,
          PNDMScheduler,
      ]:
          schedulers[
              scheduler().__class__.__name__.replace("Scheduler", "")
          ] = scheduler
      return schedulers
  
imports: import argparse
  from diffusers import StableDiffusionPipeline, StableDiffusionXLPipeline
  from diffusers.pipelines.pipeline_utils import DiffusionPipeline
  from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
  from diffusers.schedulers import DDIMScheduler, DPMSolverMultistepScheduler, EulerAncestralDiscreteScheduler, EulerDiscreteScheduler, LMSDiscreteScheduler, PNDMScheduler
  from diffusers.schedulers.scheduling_utils import SchedulerMixin
  import gc
  import inspect
  import logging
  import numpy
  import os
  from python_coreml_stable_diffusion.coreml_model import CoreMLModel, _load_mlpackage, _load_mlpackage_controlnet, get_available_compute_units
  import time
  import torch
  from transformers import CLIPFeatureExtractor, CLIPTokenizer
  from typing import List, Optional, Union, Tuple
  from PIL import Image
label_desc: Use image node_id 1 for calling a global function with example usage: get_available_schedulers() and returns: schedulers