empty cuda

app.py

@@ -79,6 +79,10 @@ def infer(
         generator=generator,
         time_scale=time_scale,
     ).images[0]
+    
+    pipe.maybe_free_model_hooks()
+    torch.cuda.empty_cache()
+    del pipe
 
     return image, seed
 

sid/pipeline_sid_sd3.py

@@ -807,6 +807,7 @@ class SiDSD3Pipeline(
         image = self.image_processor.postprocess(image, output_type=output_type)
         
         self.maybe_free_model_hooks()
+        
 
         # 6. Return output
         if not return_dict: