diff --git a/sgm/inference/api.py b/sgm/inference/api.py
index 182e8cf..f5ce36f 100644
--- a/sgm/inference/api.py
+++ b/sgm/inference/api.py
@@ -165,7 +165,7 @@ class SamplingPipeline:
         config_path=None,
         device="cuda",
         use_fp16=True,
-    ) -> None:        
+    ) -> None:
         self.model_id = model_id
         if model_spec is not None:
             self.specs = model_spec
@@ -179,13 +179,19 @@ class SamplingPipeline:
         if model_path is None:
             model_path = pathlib.Path(__file__).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"
+            )
         self.config = str(config_path / self.specs.config)
         self.ckpt = str(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)