diff --git a/extra/grpc/diffusers/backend_diffusers.py b/extra/grpc/diffusers/backend_diffusers.py
index bb7d991a..c23fc22a 100755
--- a/extra/grpc/diffusers/backend_diffusers.py
+++ b/extra/grpc/diffusers/backend_diffusers.py
@@ -221,8 +221,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
                 modelFileBase = os.path.dirname(request.ModelFile)
                 # modify LoraAdapter to be relative to modelFileBase
                 request.LoraAdapter = os.path.join(modelFileBase, request.LoraAdapter)
+            device = "cpu" if not request.CUDA else "cuda"
+            self.device = device
             if request.LoraAdapter:
-                device = "cpu" if not request.CUDA else "cuda"
                 # Check if its a local file and not a directory ( we load lora differently for a safetensor file )
                 if os.path.exists(request.LoraAdapter) and not os.path.isdir(request.LoraAdapter):
                     self.load_lora_weights(request.LoraAdapter, 1, device, torchType)
@@ -300,7 +301,6 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             "width":               request.width, 
             "height":              request.height,
             "num_inference_steps": request.step,
-            "seed":                request.seed,
         }
 
         if request.src != "":
@@ -321,7 +321,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
 
         # Set seed
         if request.seed > 0:
-            kwargs["generator"] = torch.Generator(device="cuda").manual_seed(
+            kwargs["generator"] = torch.Generator(device=self.device).manual_seed(
                 request.seed
             )