Update pipeline_utils.py

Author: CyberVy

src/diffusers/pipelines/pipeline_utils.py

@@ -1126,9 +1126,6 @@ def enable_model_cpu_offload(self, gpu_id: Optional[int] = None, device: Union[t
         self._offload_device = device
 
         self.to("cpu", silence_dtype_warnings=True)
-        device_mod = getattr(torch, device.type, None)
-        if hasattr(device_mod, "empty_cache") and device_mod.is_available():
-            device_mod.empty_cache()  # otherwise we don't see the memory savings (but they probably exist)
 
         all_model_components = {k: v for k, v in self.components.items() if isinstance(v, torch.nn.Module)}
 
@@ -1234,9 +1231,6 @@ def enable_sequential_cpu_offload(self, gpu_id: Optional[int] = None, device: Un
 
         if self.device.type != "cpu":
             self.to("cpu", silence_dtype_warnings=True)
-            device_mod = getattr(torch, self.device.type, None)
-            if hasattr(device_mod, "empty_cache") and device_mod.is_available():
-                device_mod.empty_cache()  # otherwise we don't see the memory savings (but they probably exist)
 
         for name, model in self.components.items():
             if not isinstance(model, torch.nn.Module):