Update app.py

app.py

@@ -285,14 +285,14 @@ print(f"Downloaded LoRAs: {pose_lora_path}, {general_lora_path}, {motion_lora_pa
 
 def build_loras_tuple(pose_strength: float, general_strength: float, motion_strength: float):
     """
-    Return a tuple of LoraPathStrengthAndSDOps matching LTX loader expectations.
+    Return a list of LoraPathStrengthAndSDOps matching LTX loader expectations.
     Uses the LTX renaming map for SD key remapping (helps with some LoRA formats).
     """
-    return (
+    return [
         LoraPathStrengthAndSDOps(path=str(pose_lora_path), strength=float(pose_strength), sd_ops=LTXV_LORA_COMFY_RENAMING_MAP),
         LoraPathStrengthAndSDOps(path=str(general_lora_path), strength=float(general_strength), sd_ops=LTXV_LORA_COMFY_RENAMING_MAP),
         LoraPathStrengthAndSDOps(path=str(motion_lora_path), strength=float(motion_strength), sd_ops=LTXV_LORA_COMFY_RENAMING_MAP),
-    )
+    ]
 
 # initial strengths (you can change defaults)
 INITIAL_LORAS = build_loras_tuple(1.0, 1.0, 1.0)
@@ -302,7 +302,7 @@ pipeline = LTX23DistilledA2VPipeline(
     distilled_checkpoint_path=checkpoint_path,
     spatial_upsampler_path=spatial_upsampler_path,
     gemma_root=gemma_root,
-    loras=[INITIAL_LORAS],
+    loras=INITIAL_LORAS,
     quantization=QuantizationPolicy.fp8_cast(),
 )
 
@@ -388,7 +388,7 @@ def generate_video(
 
         current_seed = random.randint(0, MAX_SEED) if randomize_seed else int(seed)
 
-                # --- LoRA dynamic update: rebuild ledger models in-place when strengths change ---
+        # --- LoRA dynamic update: rebuild ledger models in-place when strengths change ---
         try:
             current_ledger = pipeline.model_ledger
             # helper to compare strengths quickly