code: def __init__(self, embed_dim, *args, **kwargs):
      super().__init__(*args, embed_dim=embed_dim, **kwargs)
      self.embed_dim = embed_dim
  
imports: import numpy
  import torch
  import pytorch_lightning
  import torch.nn.functional
  from contextlib import contextmanager
  from torch.optim.lr_scheduler import LambdaLR
  from ldm.modules.ema import LitEma
  from vqvae_quantize import VectorQuantizer2
  from ldm.modules.diffusionmodules.model import Encoder, Decoder
  from ldm.util import instantiate_from_config
  import ldm.models.autoencoder
  from packaging import version
label_desc: Use image node_id 1 to create a new VQModelInterface object from inherited base classes: VQModel with example: obj = VQModelInterface(embed_dim)