Update worker_runpod.py

worker_runpod.py

@@ -93,8 +93,8 @@ with torch.inference_mode():
     }
     
     scheduler = sampler_dict["DPM++"].from_pretrained(model_id, subfolder="scheduler")
-    lora_weight = values.get("lora_weight", 1.00)
-    pipeline = merge_lora(pipeline, lora_path, lora_weight)
+
+    pipeline = merge_lora(pipeline, lora_path, 1.00)
 
     if transformer.config.in_channels != vae.config.latent_channels:
         pipeline = CogVideoX_Fun_Pipeline_Inpaint.from_pretrained(