format

predict.py

@@ -103,10 +103,10 @@ class SharedInputs:
         default=None,
     )
     lora_scale: Input = Input(
-            description="Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.",
-            default=1.0,
-            le=5.0,
-            ge=-5.0,
+        description="Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.",
+        default=1.0,
+        le=5.0,
+        ge=-5.0,
     )
     megapixels: Input = Input(
         description="Approximate number of megapixels for generated image",