Update api/ltx_server_refactored.py

api/ltx_server_refactored.py

@@ -225,7 +225,7 @@ class VideoService:
             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):
+    def generate_low(self, prompt, negative_prompt, height, width, duration, guidance_scale:str="4", seed, conditioning_items=None):
         used_seed = random.randint(0, 2**32 - 1) if seed is None else int(seed)
         seed_everething(used_seed)
         FPS = 24.0
@@ -269,7 +269,7 @@ class VideoService:
     # ==============================================================================
     def _generate_single_chunk_low(
         self, prompt, negative_prompt, 
-        height, width, num_frames, guidance_scale, 
+        height, width, num_frames, guidance_scale:str="4",, 
         seed, initial_latent_condition=None, image_conditions=None, 
         fp_num_inference_steps:int=30, ship_initial_inference_steps:int=0, ship_final_inference_steps:int=0,
         ltx_configs_override=None):
@@ -362,7 +362,7 @@ class VideoService:
     # ==============================================================================
     def generate_narrative_low(
         self, prompt: str, negative_prompt, 
-        height, width, duration, guidance_scale, 
+        height, width, duration, guidance_scale:str="4", 
         seed, initial_image_conditions=None, overlap_frames: int = 8,
         fp_num_inference_steps:int=30, ship_initial_inference_steps:int=0, ship_final_inference_steps:int=0,
         ltx_configs_override: dict = None):
@@ -468,7 +468,7 @@ class VideoService:
     # ==============================================================================
     def generate_single_low(
         self, prompt: str, negative_prompt, 
-        height, width, duration, guidance_scale, 
+        height, width, duration, guidance_scale:str="4", 
         seed, initial_image_conditions=None,
         fp_num_inference_steps:int=30, ship_initial_inference_steps:int=0, ship_final_inference_steps:int=0,
         ltx_configs_override: dict = None):
@@ -770,7 +770,7 @@ class VideoService:
     # ==============================================================================
     def generate_upscale_denoise(
         self, latents_path, prompt, negative_prompt, 
-        guidance_scale, seed,
+        guidance_scale:str="4", seed,
         fp_num_inference_steps:int=30, ship_initial_inference_steps:int=0, ship_final_inference_steps:int=0
     ):
             used_seed = random.randint(0, 2**32 - 1) if seed is None else int(seed)