text: from dg_ai_platform.dg_platform import ITaskProcess
  from PIL import Image, ImageOps
  from dg_ai_platform.utils import get_dynamic_outputs
  
  class TaskProcess1toN(ITaskProcess):
      def __init__(self):
          super().__init__()
  
      def inference(self, input_list, output_list, options=None):
          print(options)
          img1 = Image.open(input_list[0]).convert('RGB')
          output1 = ImageOps.grayscale(img1)
  
          output1.save(output_list[0])
          if options is not None:
              if 'dynamic_outputs' in options:
                  #If you need 4 image outputs
                  d_outputs = get_dynamic_outputs(output_list, 4, ['jpg'])
                  for fn in d_outputs:
                      ImageOps.posterize(img1, 1).save(fn)
                  return d_outputs