class_docstr: A list with prompts for stable diffusion's conditioner model.
  Can also specify width and height of created image - SDXL needs it.
code: def __init__(
      self,
      prompts,
      is_negative_prompt=False,
      width=None,
      height=None,
      copy_from=None,
  ):
      super().__init__()
      self.extend(prompts)
  
      if copy_from is None:
          copy_from = prompts
  
      self.is_negative_prompt = is_negative_prompt or getattr(
          copy_from, "is_negative_prompt", False
      )
      self.width = width or getattr(copy_from, "width", None)
      self.height = height or getattr(copy_from, "height", None)
  
imports: from __future__ import annotations
  import re
  from collections import namedtuple
  import lark
label_desc: Use image node_id 1 to create a new SdConditioning object from inherited base classes: list with example: obj = SdConditioning(prompts, is_negative_prompt, width, height, copy_from)