          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
  
          self.name = "cv2-DNN Aligner"
          self.input_size = 128
          self.colorformat = "RGB"
          self.vram = 0  # Doesn't use GPU
          self.vram_per_batch = 0
          self.batchsize = 1
  
      def init_model(self):
 
</s> remove         self.colorformat = "RGB"
 </s> add         self.color_format = "RGB" </s> remove         self.vram_warnings = 1088  # at BS 1. OOMs at higher batchsizes
 </s> add         self.vram_warnings = 1088  # at BS 1. OOMs at higher batch sizes </s> remove         self.colorformat = "BGR"
 </s> add         self.color_format = "BGR" </s> remove         self._mask = self._load_mask(masker, image_is_aligned, configfile)
 </s> add         self._mask = [self._load_mask(mask, image_is_aligned, configfile) for mask in masker]
        self.color_format = "RGB"
          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
  
          self.name = "cv2-DNN Aligner"
          self.input_size = 128
        self.color_format = "RGB"
          self.vram = 0  # Doesn't use GPU
          self.vram_per_batch = 0
          self.batchsize = 1
  
      def init_model(self):
keep keep keep keep replace keep keep keep keep keep
 Extraction - Auto generate Components and Extended Masks 
plugins/extract/align/cv2_dnn.py