          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):
          """ Initialize S3FD Model"""
          confidence = self.config["confidence"] / 100
 
</s> remove         self.vram = 4096
 </s> add         self.vram = 4112 </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 </s> remove         self.vram = 3104
 </s> add         self.vram = 2944 </s> remove         self.vram = 3440
 </s> add         self.vram = 3424
        self.vram_per_batch = 208
          self.name = "S3FD"
          self.input_size = 640
          self.vram = 4096
          self.vram_warnings = 1024  # Will run at this with warnings
        self.vram_per_batch = 208
          self.batchsize = self.config["batch-size"]
  
      def init_model(self):
          """ Initialize S3FD Model"""
          confidence = self.config["confidence"] / 100
keep keep keep keep replace keep keep keep keep keep
 Optimize Extract parallel VRAM allocation 
plugins/extract/detect/s3fd.py