code: def preprocess(image):
      warnings.warn(
          "The preprocess method is deprecated and will be removed in a future version. Please"
          " use VaeImageProcessor.preprocess instead",
          FutureWarning,
      )
      if isinstance(image, torch.Tensor):
          return image
      elif isinstance(image, PIL.Image.Image):
          image = [image]
  
      if isinstance(image[0], PIL.Image.Image):
          w, h = image[0].size
          w, h = (
              x - x % 64 for x in (w, h)
          )  # resize to integer multiple of 64
  
          image = [np.array(i.resize((w, h)))[None, :] for i in image]
          image = np.concatenate(image, axis=0)
          image = np.array(image).astype(np.float32) / 255.0
          image = image.transpose(0, 3, 1, 2)
          image = 2.0 * image - 1.0
          image = torch.from_numpy(image)
      elif isinstance(image[0], torch.Tensor):
          image = torch.cat(image, dim=0)
      return image
  
imports: import inspect
  import warnings
  from typing import Any, Callable, Dict, List, Optional, Union
  import numpy
  import PIL.Image
  import torch
  from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
  from ...image_processor import PipelineImageInput, VaeImageProcessor
  from ...loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInversionLoaderMixin
  from ...models import AutoencoderKL, UNet2DConditionModel
  from ...models.attention_processor import AttnProcessor2_0, LoRAAttnProcessor2_0, LoRAXFormersAttnProcessor, XFormersAttnProcessor
  from ...models.lora import adjust_lora_scale_text_encoder
  from ...schedulers import DDPMScheduler, KarrasDiffusionSchedulers
  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 for calling a global function with example usage: preprocess(image) and returns: image, image