          model_filename = "s3fd_keras_v1.h5"
          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
          self.name = "S3FD"
          self.input_size = 640
          self.vram = 4096
          self.vram_warnings = 1024  # Will run at this with warnings
          self.vram_per_batch = 128
          self.batchsize = self.config["batch-size"]
  
      def init_model(self):
 
</s> remove         self.vram_per_batch = 128
 </s> add         self.vram_per_batch = 208 </s> remove         self.vram = 3440
 </s> add         self.vram = 3424 </s> remove         self.vram = 3104
 </s> add         self.vram = 2944 </s> remove         self.vram_per_batch = 208
 </s> add         self.vram_per_batch = 304 </s> remove         self.vram_per_batch = 96
 </s> add         self.vram_per_batch = 400
        self.vram = 4112
          model_filename = "s3fd_keras_v1.h5"
          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
          self.name = "S3FD"
          self.input_size = 640
        self.vram = 4112
          self.vram_warnings = 1024  # Will run at this with warnings
          self.vram_per_batch = 128
          self.batchsize = self.config["batch-size"]
  
      def init_model(self):
keep keep keep keep replace keep keep keep keep keep
 Optimize Extract parallel VRAM allocation 
plugins/extract/detect/s3fd.py