diff --git a/nerfstudio/configs/base_config.py b/nerfstudio/configs/base_config.py
index 1787b2b10..89b8aedd8 100644
--- a/nerfstudio/configs/base_config.py
+++ b/nerfstudio/configs/base_config.py
@@ -19,7 +19,7 @@
 from __future__ import annotations
 
 import logging
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from datetime import datetime
 from pathlib import Path
 from typing import Any, Dict, List, Literal, Optional, Tuple, Type
@@ -205,19 +205,19 @@ class Config(PrintableConfig):
         }
     )
     """optionally specify a pre-defined config to load from"""
-    vis: List[Literal["viewer", "wandb", "tensorboard"]] = field(default_factory=lambda: ["wandb"])
+    vis: Literal["viewer", "wandb", "tensorboard"] = "wandb"
 
     def is_viewer_enabled(self) -> bool:
         """Checks if a viewer is enabled."""
-        return "viewer" in self.vis
+        return "viewer" == self.vis
 
     def is_wandb_enabled(self) -> bool:
         """Checks if wandb is enabled."""
-        return "wandb" in self.vis
+        return "wandb" == self.vis
 
     def is_tensorboard_enabled(self) -> bool:
         """Checks if tensorboard is enabled."""
-        return "tensorboard" in self.vis
+        return "tensorboard" == self.vis
 
     def set_timestamp(self) -> None:
         """Dynamically set the experiment timestamp"""
diff --git a/nerfstudio/configs/model_configs.py b/nerfstudio/configs/model_configs.py
index e27e094f8..af96a3fc1 100644
--- a/nerfstudio/configs/model_configs.py
+++ b/nerfstudio/configs/model_configs.py
@@ -74,7 +74,7 @@ model_configs["nerfacto"] = Config(
         },
     },
     viewer=ViewerConfig(num_rays_per_chunk=1 << 16),
-    vis=["viewer"],
+    vis="viewer",
 )
 
 model_configs["instant-ngp"] = Config(
@@ -91,7 +91,7 @@ model_configs["instant-ngp"] = Config(
         }
     },
     viewer=ViewerConfig(num_rays_per_chunk=64000),
-    vis=["viewer"],
+    vis="viewer",
 )
 
 model_configs["mipnerf-360"] = Config(
diff --git a/nerfstudio/engine/trainer.py b/nerfstudio/engine/trainer.py
index 9bb986e8b..28e9f0b2b 100644
--- a/nerfstudio/engine/trainer.py
+++ b/nerfstudio/engine/trainer.py
@@ -192,19 +192,11 @@ class Trainer:
     def _check_viewer_warnings(self) -> None:
         """Helper to print out any warnings regarding the way the viewer/loggers are enabled"""
         if self.config.is_viewer_enabled():
-            is_logger_enabled = self.config.is_wandb_enabled() or self.config.is_tensorboard_enabled()
-            if is_logger_enabled:
-                string = (
-                    "[WARNING]: Tensorboard or Wandb enabled with Viewer will slow down Viewer. "
-                    "Please set `--vis viewer` for faster rendering."
-                )
-                CONSOLE.print(f"[bold red]{string}")
-            else:
-                string = (
-                    "[WARNING] Not running eval iterations since only viewer is enabled."
-                    " Please add 'wandb' or 'tensorboard' to the `--vis` list to run evaluations."
-                )
-                CONSOLE.print(f"[bold red]{string}")
+            string = (
+                "[WARNING] Not running eval iterations since only viewer is enabled."
+                " Use `--vis wandb` or `--vis tensorboard` to run with eval instead."
+            )
+            CONSOLE.print(f"[bold red]{string}")
 
     @check_viewer_enabled
     def _init_viewer_scene(self) -> None:
diff --git a/tests/test_run_train.py b/tests/test_run_train.py
index 170e56909..2c694e006 100644
--- a/tests/test_run_train.py
+++ b/tests/test_run_train.py
@@ -27,7 +27,7 @@ def set_reduced_config(config: Config):
     config.pipeline.datamanager.train_num_rays_per_batch = 4
 
     # use tensorboard logging instead of wandb
-    config.vis = ["tensorboard"]
+    config.vis = "tensorboard"
     config.logging.relative_log_dir = Path("/tmp/")
 
     # reduce model factors