diff --git a/nerfstudio/model_components/renderers.py b/nerfstudio/model_components/renderers.py
index 20a506b1e..1fde0d693 100644
--- a/nerfstudio/model_components/renderers.py
+++ b/nerfstudio/model_components/renderers.py
@@ -102,21 +102,18 @@ class RGBRenderer(nn.Module):
             comp_rgb = torch.sum(weights * rgb, dim=-2)
             accumulated_weight = torch.sum(weights, dim=-2)
         if BACKGROUND_COLOR_OVERRIDE is not None:
-            # This case must be before the others or the override is not properly applied
-            background_color = cls.get_background_color(
-                BACKGROUND_COLOR_OVERRIDE, shape=comp_rgb.shape, device=comp_rgb.device
-            )
-        elif background_color == "random":
+            background_color = BACKGROUND_COLOR_OVERRIDE
+        if background_color == "random":
             # If background color is random, the predicted color is returned without blending,
             # as if the background color was black.
             return comp_rgb
-
         elif background_color == "last_sample":
             # Note, this is only supported for non-packed samples.
             background_color = rgb[..., -1, :]
+        background_color = cls.get_background_color(background_color, shape=comp_rgb.shape, device=comp_rgb.device)
 
         assert isinstance(background_color, torch.Tensor)
-        comp_rgb = comp_rgb + background_color.to(comp_rgb.device) * (1.0 - accumulated_weight)
+        comp_rgb = comp_rgb + background_color * (1.0 - accumulated_weight)
         return comp_rgb
 
     @classmethod
@@ -124,13 +121,13 @@ class RGBRenderer(nn.Module):
         cls, background_color: BackgroundColor, shape: Tuple[int, ...], device: torch.device
     ) -> Union[Float[Tensor, "3"], Float[Tensor, "*bs 3"]]:
         """Returns the RGB background color for a specified background color.
-
         Note:
             This function CANNOT be called for background_color being either "last_sample" or "random".
 
         Args:
-            rgb: RGB for each sample.
-            background_color: The background color specification.
+            background_color: The background color specification. If a string is provided, it must be a valid color name.
+            shape: Shape of the output tensor.
+            device: Device on which to create the tensor.
 
         Returns:
             Background color as RGB.
diff --git a/nerfstudio/scripts/benchmarking/launch_train_blender.sh b/nerfstudio/scripts/benchmarking/launch_train_blender.sh
index cbdd7d754..7b9db727d 100644
--- a/nerfstudio/scripts/benchmarking/launch_train_blender.sh
+++ b/nerfstudio/scripts/benchmarking/launch_train_blender.sh
@@ -17,7 +17,7 @@ while getopts "m:v:s" opt; do
         m ) method_name="$OPTARG" ;;
         v ) vis="$OPTARG" ;;
         s ) single=true ;;
-        ? ) helpFunction ;; 
+        ? ) helpFunction ;;
     esac
 done
 
@@ -83,12 +83,12 @@ for dataset in "${DATASETS[@]}"; do
              --steps-per-save=1000 \
              --max-num-iterations=16500 \
              --logging.local-writer.enable=False  \
-             --logging.enable-profiler=False \
+             --logging.profiler="none" \
              --vis "${vis}" \
              --timestamp "$timestamp" \
              ${dataparser} & GPU_PID[$idx]=$!
     echo "Launched ${method_name} ${dataset} on gpu ${GPU_IDX[$idx]}, ${tag}"
-    
+
     # update gpu
     ((idx=(idx+1)%len))
 done