Update api/ltx_server_refactored.py

api/ltx_server_refactored.py

@@ -294,7 +294,7 @@ class VideoService:
     def _generate_single_chunk_low(
         self, prompt, negative_prompt, 
         height, width, num_frames, guidance_scale, 
-        seed, itens_conditions_itens=None, 
+        seed, itens_conditions_itens, 
         ltx_configs_override=None):
         """
         [NÓ DE GERAÇÃO]
@@ -344,13 +344,12 @@ class VideoService:
         first_pass_kwargs = {
             "prompt": prompt, "negative_prompt": negative_prompt, "height": downscaled_height, "width": downscaled_width,
             "num_frames": num_frames, "frame_rate": 24, "generator": generator, "output_type": "latent",
-            "conditioning_items": itens_conditions_itens
-            **first_pass_config
+            "itens_conditions_itens": itens_conditions_itens,
+            **first_pass_config,
         }
 
-        print(f"[DEBUG]  _generate_single_chunk_low.first_pass_kwargs: {first_pass_kwargs}")
-        
 
+        
         results_dir = "/app/output"; os.makedirs(results_dir, exist_ok=True)
     
         
@@ -429,16 +428,16 @@ class VideoService:
         for i, chunk_prompt in enumerate(prompt_list):
             print(f"\n--- Gerando Chunk Narrativo {i+1}/{num_chunks}: '{chunk_prompt}' ---")
 
-            current_image_conditions = []
-            if initial_image_conditions:
-                cond_item_original = initial_image_conditions[0]
-                if i == 0:
-                    current_image_conditions.append(cond_item_original)
-                else:
-                    cond_item_fraco = ConditioningItem(
-                        media_item=cond_item_original.media_item, media_frame_number=0, conditioning_strength=0.1
-                    )
-                    current_image_conditions.append(cond_item_fraco)
+            #current_image_conditions = []
+            #if initial_image_conditions:
+            #    cond_item_original = initial_image_conditions[0]
+            #    if i == 0:
+            #        current_image_conditions.append(cond_item_original)
+            #    else:
+            #        cond_item_fraco = ConditioningItem(
+            #            media_item=cond_item_original.media_item, media_frame_number=0, conditioning_strength=0.1
+            #        )
+            #        current_image_conditions.append(cond_item_fraco)
 
 
             poda_latents_num = 8