diff --git a/src/stamp/preprocessing/extractor/ticon.py b/src/stamp/preprocessing/extractor/ticon.py
index ab7eb829..5780afc4 100644
--- a/src/stamp/preprocessing/extractor/ticon.py
+++ b/src/stamp/preprocessing/extractor/ticon.py
@@ -624,7 +624,6 @@ def load_ticon(device: str = "cuda") -> nn.Module:
 class HOptimusTICON(nn.Module):
     def __init__(self, device: torch.device):
         super().__init__()
-        self.device = device
 
         # ----------------------------
         # Stage 1: H-OptimUS
@@ -689,7 +688,9 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
         """
         x: [B, 3, 224, 224] (CPU or CUDA)
         """
-        x = x.to(self.device, non_blocking=True)
+        # Respect the current module device (it may be moved after construction).
+        device = next(self.parameters()).device
+        x = x.to(device, non_blocking=True)
 
         # H-Optimus_1
         emb = self.tile_encoder(x)  # [B, 1536]
@@ -700,7 +701,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
             emb.size(0),
             1,
             2,
-            device=self.device,
+            device=device,
             dtype=torch.float32,
         )
 
@@ -713,7 +714,9 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
         return out.squeeze(1)  # [B, 1536]
 
 
-def ticon(device: str = "cuda") -> Extractor[nn.Module]:
+def ticon(device: str | None = None) -> Extractor[nn.Module]:
+    if device is None:
+        device = "cuda" if torch.cuda.is_available() else "cpu"
     model = HOptimusTICON(torch.device(device))
 
     transform = transforms.Compose(