Update api/ltx_server_refactored.py

api/ltx_server_refactored.py

@@ -240,14 +240,22 @@ class VideoService:
         return conditioning_items
 
     def _prepare_condition_items_latent(self, items_list: List):
-        if not items_list: return []
+        if not items_list: 
+            return []
         conditioning_items = []
         for tensor_patch, frame, weight in items_list:
-            tensor = torch.load(tensor_patch).to(self.device)
-            safe_frame = max(0, min(int(frame), num_frames - 1))
+            # Verifica se já é um tensor
+            if isinstance(tensor_patch, torch.Tensor):
+                tensor = tensor_patch.to(self.device)
+            # Se é bytes, carrega do buffer
+            elif isinstance(tensor_patch, (bytes, bytearray)):
+                tensor = torch.load(io.BytesIO(tensor_patch)).to(self.device)
+            # Caso contrário, assume que é um caminho de arquivo
+            else:
+                tensor = torch.load(tensor_patch).to(self.device)
+            safe_frame = max(0, int(frame))
             conditioning_items.append(ConditioningItem(tensor, safe_frame, float(weight)))
         return conditioning_items
-        
 
     def generate_low(self, prompt, negative_prompt, height, width, duration, guidance_scale, seed, conditioning_items=None):
         used_seed = random.randint(0, 2**32 - 1) if seed is None else int(seed)