Update api/ltx_server_refactored.py

api/ltx_server_refactored.py

@@ -228,7 +228,7 @@ class VideoService:
     def generate_low(
         self, prompt, negative_prompt, 
         height, width, duration, seed, 
-        conditioning_items=None, ltx_configs_override,
+        conditions_itens, ltx_configs_override,
     ):
         guidance_scale="4"
         used_seed = random.randint(0, 2**32 - 1) if seed is None else int(seed)
@@ -248,7 +248,7 @@ class VideoService:
         first_pass_kwargs = {
             "prompt": prompt, "negative_prompt": negative_prompt, "height": downscaled_height, "width": downscaled_width,
             "num_frames": actual_num_frames, "frame_rate": int(FPS), "generator": torch.Generator(device=self.device).manual_seed(used_seed),
-            "output_type": "latent", "conditioning_items": conditioning_items, 
+            "output_type": "latent", "conditioning_items": conditions_itens, 
             **(self.config.get("first_pass", {}))
         }
         try: 
@@ -279,7 +279,7 @@ class VideoService:
     def generate_narrative_low(
         self, prompt: str, negative_prompt, 
         height, width, duration,
-        seed, initial_image_conditions=None,
+        seed, conditions_itens=None,
         ltx_configs_override: dict = None):
         
         print("\n" + "="*80)
@@ -319,7 +319,7 @@ class VideoService:
             video_path, tensor_path, final_seed = generate_low(
                 prompt=prompt_x, negative_prompt=negative_prompt, height=height, 
                 width=width, duration=duration, seed=seed, 
-                initial_image_conditions=initial_image_conditions, ltx_configs_override=ltx_configs_override,
+                conditions_itens=conditions_itens, ltx_configs_override=ltx_configs_override,
             )
 
             #log_tensor_info(latentes_chunk, f"latentes_chunk")