code: def __init__(self, model, alphas_cumprod):
      self.model = model
      self.alphas_cumprod = alphas_cumprod
  
imports: import importlib
  import inspect
  from typing import Callable, List, Optional, Union
  import torch
  from k_diffusion.external import CompVisDenoiser, CompVisVDenoiser
  from k_diffusion.sampling import BrownianTreeNoiseSampler, get_sigmas_karras
  from ...image_processor import VaeImageProcessor
  from ...loaders import LoraLoaderMixin, TextualInversionLoaderMixin
  from ...models.lora import adjust_lora_scale_text_encoder
  from ...schedulers import LMSDiscreteScheduler
  from ...utils import USE_PEFT_BACKEND, deprecate, logging, scale_lora_layers, unscale_lora_layers
  from ...utils.torch_utils import randn_tensor
  from ..pipeline_utils import DiffusionPipeline
  from .None import StableDiffusionPipelineOutput
label_desc: Use image node_id 1 to create a new ModelWrapper object  with example: obj = ModelWrapper(model, alphas_cumprod)