diff --git a/min_dalle/models/dalle_bart_decoder.py b/min_dalle/models/dalle_bart_decoder.py
index f2ee357..9ab707c 100644
--- a/min_dalle/models/dalle_bart_decoder.py
+++ b/min_dalle/models/dalle_bart_decoder.py
@@ -161,16 +161,16 @@ class DalleBartDecoder(nn.Module):
             )
         decoder_state = self.final_ln(decoder_state)
         logits = self.lm_head(decoder_state)
-        temperature = settings[0]
-        top_k = settings[1].to(torch.long)
-        supercondition_factor = settings[2]
+        temperature = settings[[0]]
+        top_k = settings[[1]].to(torch.long)
+        supercondition_factor = settings[[2]]
         logits = logits[:, -1, : 2 ** 14]
         logits: FloatTensor = (
             logits[:image_count] * (1 - supercondition_factor) + 
             logits[image_count:] * supercondition_factor
         )
         logits_sorted, _ = logits.sort(descending=True)
-        is_kept = logits >= logits_sorted[:, top_k: top_k + 1]
+        is_kept = logits >= logits_sorted[:, top_k - 1]
         logits -= logits_sorted[:, [0]]
         logits /= temperature
         logits.exp_()
diff --git a/replicate_predictor.py b/replicate_predictor.py
index 8e702e4..3bac013 100644
--- a/replicate_predictor.py
+++ b/replicate_predictor.py
@@ -11,7 +11,8 @@ class ReplicatePredictor(BasePredictor):
         self.model = MinDalle(
             is_mega=True, 
             is_reusable=True, 
-            dtype=torch.float32
+            dtype=torch.float32,
+            device='cuda'
         )
 
     def predict(