diff --git a/deeplabcut/pose_estimation_pytorch/modelzoo/inference.py b/deeplabcut/pose_estimation_pytorch/modelzoo/inference.py
index 3582d20d9..766abe5d9 100644
--- a/deeplabcut/pose_estimation_pytorch/modelzoo/inference.py
+++ b/deeplabcut/pose_estimation_pytorch/modelzoo/inference.py
@@ -9,6 +9,7 @@
 # Licensed under GNU Lesser General Public License v3.0
 #
 import json
+import logging
 from pathlib import Path
 
 import numpy as np
@@ -30,6 +31,8 @@
 )
 from deeplabcut.utils.make_labeled_video import create_video
 
+logger = logging.getLogger(__name__)
+
 
 class NumpyEncoder(json.JSONEncoder):
     """Special json encoder for numpy types."""
@@ -170,6 +173,8 @@ def _video_inference_superanimal(
             pose_runner=pose_runner,
             detector_runner=detector_runner,
         )
+        if not predictions:
+            raise RuntimeError(f"No pose predictions were made for video {video_path}. Were no individuals detected?")
 
         bbox_keys_in_predictions = {"bboxes", "bbox_scores"}
         bboxes_list = [
diff --git a/deeplabcut/pose_estimation_pytorch/modelzoo/utils.py b/deeplabcut/pose_estimation_pytorch/modelzoo/utils.py
index 991115610..de9bfd05b 100644
--- a/deeplabcut/pose_estimation_pytorch/modelzoo/utils.py
+++ b/deeplabcut/pose_estimation_pytorch/modelzoo/utils.py
@@ -26,6 +26,9 @@
 
 # COCO category ID for the "person" class.
 COCO_PERSON_CATEGORY_ID = 1
+MODEL_FILENAME_MAPPING = {
+    "superanimal_humanbody_rtmpose_x": "rtmpose-x_simcc-body7.pt",
+}
 
 
 def get_model_configs_folder_path() -> Path:
@@ -126,10 +129,15 @@ def download_super_animal_snapshot(dataset: str, model_name: str) -> Path:
     model_filename = f"{model_name}.pt"
     model_path = snapshot_dir / model_filename
 
+    source_filename = MODEL_FILENAME_MAPPING.get(model_name, model_filename)
+    if model_filename == source_filename:
+        rename_mapping = None
+    else:
+        rename_mapping = {source_filename: model_filename}
     download_huggingface_model(
         model_name,
         target_dir=str(snapshot_dir),
-        rename_mapping={model_filename: model_filename},
+        rename_mapping=rename_mapping,
     )
     if not model_path.exists():
         raise RuntimeError(f"Failed to download {model_name} to {model_path}")