code: def sys_mem_and_diffusers(cls, values):
      if values.get("load_with_sys_mem"):
          model = values.get("model")
          task = values.get("task")
          assert not (
              mii.utils.get_provider(model, task)
              == ModelProvider.DIFFUSERS
          ), "`load_with_sys_mem` is not support with Stable Diffusion"
      return values
  
imports: import torch
  import os
  import string
  from typing import List, Optional, Dict, Any
  import mii.legacy
  from .constants import DeploymentType, TaskType, ModelProvider, MII_MODEL_PATH_DEFAULT
  from .pydantic_v1 import validator, root_validator, Field
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.inference.config import DtypeEnum
  from deepspeed.launcher.runner import DLTS_HOSTFILE, fetch_hostfile
label_desc: Use image node_id 10 for calling the ModelConfig obj's underlying member method code with example usage: obj.sys_mem_and_diffusers(cls, values) and returns: values