diff --git a/sgm/inference/api.py b/sgm/inference/api.py
index fd89558..89b7370 100644
--- a/sgm/inference/api.py
+++ b/sgm/inference/api.py
@@ -62,9 +62,9 @@ class SamplingParams:
     discretization: Discretization = Discretization.LEGACY_DDPM
     guider: Guider = Guider.VANILLA
     thresholder: Thresholder = Thresholder.NONE
-    scale: float = 6.0
-    aesthetic_score: float = 5.0
-    negative_aesthetic_score: float = 5.0
+    scale: float = 5.0
+    aesthetic_score: float = 6.0
+    negative_aesthetic_score: float = 2.5
     img2img_strength: float = 1.0
     orig_width: int = 1024
     orig_height: int = 1024
@@ -181,20 +181,30 @@ class SamplingPipeline:
             model_path = pathlib.Path(__file__).parent.parent.resolve() / "checkpoints"
             if not os.path.exists(model_path):
                 # This supports development installs where checkpoints is root level of the repo
-                model_path = pathlib.Path(__file__).parent.parent.parent.resolve() / "checkpoints"
+                model_path = (
+                    pathlib.Path(__file__).parent.parent.parent.resolve()
+                    / "checkpoints"
+                )
         if config_path is None:
-            config_path = pathlib.Path(__file__).parent.parent.resolve() / "configs/inference"
+            config_path = (
+                pathlib.Path(__file__).parent.parent.resolve() / "configs/inference"
+            )
             if not os.path.exists(config_path):
                 # This supports development installs where configs is root level of the repo
                 config_path = (
-                    pathlib.Path(__file__).parent.parent.parent.resolve() / "configs/inference"
+                    pathlib.Path(__file__).parent.parent.parent.resolve()
+                    / "configs/inference"
                 )
         self.config = str(pathlib.Path(config_path) / self.specs.config)
         self.ckpt = str(pathlib.Path(model_path) / self.specs.ckpt)
         if not os.path.exists(self.config):
-            raise ValueError(f"Config {self.config} not found, check model spec or config_path")
+            raise ValueError(
+                f"Config {self.config} not found, check model spec or config_path"
+            )
         if not os.path.exists(self.ckpt):
-            raise ValueError(f"Checkpoint {self.ckpt} not found, check model spec or config_path")
+            raise ValueError(
+                f"Checkpoint {self.ckpt} not found, check model spec or config_path"
+            )
         self.device = device
         self.model = self._load_model(device=device, use_fp16=use_fp16)
 
@@ -290,7 +300,9 @@ class SamplingPipeline:
         ):
             return discretization  # Already wrapped
         if image_strength is not None and image_strength < 1.0 and image_strength > 0.0:
-            discretization = Img2ImgDiscretizationWrapper(discretization, strength=image_strength)
+            discretization = Img2ImgDiscretizationWrapper(
+                discretization, strength=image_strength
+            )
 
         if (
             noise_strength is not None
@@ -349,7 +361,9 @@ class SamplingPipeline:
 
 def get_guider_config(params: SamplingParams):
     if params.guider == Guider.IDENTITY:
-        guider_config = {"target": "sgm.modules.diffusionmodules.guiders.IdentityGuider"}
+        guider_config = {
+            "target": "sgm.modules.diffusionmodules.guiders.IdentityGuider"
+        }
     elif params.guider == Guider.VANILLA:
         scale = params.scale