diff --git a/modules/llama_cpp_server.py b/modules/llama_cpp_server.py
index 8180f974..123f9471 100644
--- a/modules/llama_cpp_server.py
+++ b/modules/llama_cpp_server.py
@@ -61,20 +61,6 @@ class LlamaServer:
             dry_sequence_breakers = "[" + dry_sequence_breakers + "]"
         dry_sequence_breakers = json.loads(dry_sequence_breakers)
 
-        # Prepare the sampler order
-        samplers = state["sampler_priority"]
-        samplers = samplers.split("\n") if isinstance(samplers, str) else samplers
-        penalty_found = False
-        filtered_samplers = []
-        for s in samplers:
-            if s.strip() in ["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature"]:
-                filtered_samplers.append(s.strip())
-            elif not penalty_found and s.strip() == "repetition_penalty":
-                filtered_samplers.append("penalties")
-                penalty_found = True
-
-        samplers = filtered_samplers
-
         # Move temperature to the end if temperature_last is true and temperature exists in the list
         if state["temperature_last"] and "temperature" in samplers:
             samplers.remove("temperature")
@@ -106,20 +92,31 @@ class LlamaServer:
             "grammar": state["grammar_string"],
             "seed": state["seed"],
             "ignore_eos": state["ban_eos_token"],
-            "samplers": samplers,
         }
 
+        # Sampler order
+        if state["sampler_priority"]:
+            samplers = state["sampler_priority"]
+            samplers = samplers.split("\n") if isinstance(samplers, str) else samplers
+            filtered_samplers = []
+
+            penalty_found = False
+            for s in samplers:
+                if s.strip() in ["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature"]:
+                    filtered_samplers.append(s.strip())
+                elif not penalty_found and s.strip() == "repetition_penalty":
+                    filtered_samplers.append("penalties")
+                    penalty_found = True
+
+            payload["samplers"] = filtered_samplers
+
         if state['custom_token_bans']:
             to_ban = [[int(token_id), False] for token_id in state['custom_token_bans'].split(',')]
             payload["logit_bias"] = to_ban
 
         return payload
 
-    def generate_with_streaming(
-        self,
-        prompt,
-        state,
-    ):
+    def generate_with_streaming(self, prompt, state):
         url = f"http://localhost:{self.port}/completion"
         payload = self.prepare_payload(state)
 
@@ -178,6 +175,13 @@ class LlamaServer:
                     print(f"Problematic line: {line}")
                     continue
 
+    def generate(self, prompt, state):
+        output = ""
+        for output in self.generate_with_streaming(prompt, state):
+            pass
+
+        return output
+
     def get_logits(self, prompt, state, n_probs=128, use_samplers=False):
         """Get the logits/probabilities for the next token after a prompt"""
         url = f"http://localhost:{self.port}/completion"