class_docstr: Resolver for  request and responses from [`diffusers.StableDiffusionXLPipeline`](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_xl#stable-diffusion-xl) multi-modal Diffusion Pipelines, providing necessary data transformations, formatting, and logging.
  
  Arguments:
      pipeline_name: (str) The name of the Diffusion Pipeline.
docstr: Prepare the loggable dictionary, which is the packed data as a dictionary for logging to wandb, None if an exception occurred.
  
  Arguments:
      pipeline: (Any) The Diffusion Pipeline.
      pipeline_configs: (Dict[str, Any]) The configs corresponding to the
          architecture of the pipeline.
      response: (wandb.sdk.integration_utils.auto_logging.Response) The
          response from the request.
      kwargs: (Dict[str, Any]) Dictionary of keyword arguments.
  
  Returns:
      Packed data as a dictionary for logging to wandb, None if an exception occurred.
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code: def prepare_loggable_dict(
      self,
      pipeline: Any,
      pipeline_configs: Dict[str, Any],
      response: Response,
      kwargs: Dict[str, Any],
  ) -> Dict[str, Any]:
      """Prepare the loggable dictionary, which is the packed data as a dictionary for logging to wandb, None if an exception occurred.
  
      Arguments:
          pipeline: (Any) The Diffusion Pipeline.
          pipeline_configs: (Dict[str, Any]) The configs corresponding to the
              architecture of the pipeline.
          response: (wandb.sdk.integration_utils.auto_logging.Response) The
              response from the request.
          kwargs: (Dict[str, Any]) Dictionary of keyword arguments.
  
      Returns:
          Packed data as a dictionary for logging to wandb, None if an exception occurred.
      """
      self.create_wandb_table(pipeline_configs)
      if self.task == "text_to_image":
          self.prepare_loggable_dict_for_text_to_image(
              pipeline, self.workflow_stage, response, kwargs
          )
      self.update_wandb_configs(pipeline_configs, kwargs)
      return {f"{self.workflow_stage}/Result-Table": self.wandb_table}
  
file_path: wandb/wandb/integration/diffusers/resolvers/sdxl.py
imports: import logging
  from typing import TYPE_CHECKING, Any, Dict, List, Sequence
  import wandb
  from wandb.sdk.integration_utils.auto_logging import Response
  from wandb.util import get_module
  from .utils import chunkify, get_updated_kwargs
label_desc: Use image node_id 6 for calling the SDXLResolver obj's underlying member method code with example usage: obj.prepare_loggable_dict(pipeline, pipeline_configs, response, kwargs) and returns: dict