diff --git a/ultralytics/yolo/engine/predictor.py b/ultralytics/yolo/engine/predictor.py
index 2ea7a27..0f6eb0d 100644
--- a/ultralytics/yolo/engine/predictor.py
+++ b/ultralytics/yolo/engine/predictor.py
@@ -230,10 +230,6 @@ class BasePredictor:
             self.model.warmup(imgsz=(1 if self.model.pt or self.model.triton else self.dataset.bs, 3, *self.imgsz))
             self.done_warmup = True
 
-        # Checks
-        if self.source_type.tensor and (self.args.save or self.args.save_txt or self.args.show):
-            LOGGER.warning("WARNING ⚠️ 'save', 'save_txt' and 'show' arguments not enabled for torch.Tensor inference.")
-
         self.seen, self.windows, self.batch, profilers = 0, [], None, (ops.Profile(), ops.Profile(), ops.Profile())
         self.run_callbacks('on_predict_start')
         for batch in self.dataset:
diff --git a/ultralytics/yolo/engine/results.py b/ultralytics/yolo/engine/results.py
index 085752e..c347da0 100644
--- a/ultralytics/yolo/engine/results.py
+++ b/ultralytics/yolo/engine/results.py
@@ -199,8 +199,7 @@ class Results(SimpleClass):
             (numpy.ndarray): A numpy array of the annotated image.
         """
         if img is None and isinstance(self.orig_img, torch.Tensor):
-            LOGGER.warning('WARNING ⚠️ Results plotting is not supported for torch.Tensor image types.')
-            return
+            img = np.ascontiguousarray(self.orig_img[0].permute(1, 2, 0).cpu().detach().numpy()) * 255
 
         # Deprecation warn TODO: remove in 8.2
         if 'show_conf' in kwargs: