diff --git a/fmpose3d/inference_api/fmpose3d.py b/fmpose3d/inference_api/fmpose3d.py
index ff4e23c..7a680fb 100644
--- a/fmpose3d/inference_api/fmpose3d.py
+++ b/fmpose3d/inference_api/fmpose3d.py
@@ -253,17 +253,18 @@ def predict(
                 cv2.imwrite(p, frames[idx])
                 paths.append(p)
 
-            # Run DeepLabCut on each frame individually.
+            # Run DeepLabCut once for all frames.
+            predictions = superanimal_analyze_images(
+                superanimal_name=cfg.superanimal_name,
+                model_name=cfg.sa_model_name,
+                detector_name=cfg.detector_name,
+                images=paths,
+                max_individuals=cfg.max_individuals,
+                out_folder=tmpdir,
+            )
+            # predictions: {image_path: {"bodyparts": (N_ind, K, 3), ...}}
+            # Iterate in input order to keep frame alignment stable.
             for img_path in paths:
-                predictions = superanimal_analyze_images(
-                    superanimal_name=cfg.superanimal_name,
-                    model_name=cfg.sa_model_name,
-                    detector_name=cfg.detector_name,
-                    images=img_path,
-                    max_individuals=cfg.max_individuals,
-                    out_folder=tmpdir,
-                )
-                # predictions: {image_path: {"bodyparts": (N_ind, K, 3), ...}}
                 payload = predictions.get(img_path) if isinstance(predictions, dict) else None
                 if payload is None and isinstance(predictions, dict) and len(predictions) == 1:
                     payload = next(iter(predictions.values()))