code: def ldm_vq(
      latent_size: int = 64,
      latent_in_channels: int = 3,
      latent_out_channels: int = 3,
      **kwargs: Any,
  ) -> TLoadZoo:
      return _ldm(
          "diffusion/ldm.vq",
          latent_size,
          latent_in_channels,
          latent_out_channels,
          **kwargs,
      )
  
imports: from typing import Any
  from typing import Union
  from cftool.types import tensor_dict_type
  from ...schema import DLConfig
  from ...zoo.core import DLZoo
  from ...zoo.core import TPipeline
  from ...models.cv.diffusion.utils import CONCAT_TYPE
label_desc: Use image node_id 8 for calling a global function with example usage: ldm_vq(latent_size, latent_in_channels, latent_out_channels) and returns: _ldm