diff --git a/models/common.py b/models/common.py
index 24f02c2a584c..8319552de5f0 100644
--- a/models/common.py
+++ b/models/common.py
@@ -232,10 +232,10 @@ def autoshape(self):
     @torch.no_grad()
     def forward(self, imgs, size=640, augment=False, profile=False):
         # Inference from various sources. For height=640, width=1280, RGB images example inputs are:
-        #   filename:   imgs = 'data/images/zidane.jpg'  # str or PosixPath
+        #   file:       imgs = 'data/images/zidane.jpg'  # str or PosixPath
         #   URI:             = 'https://ultralytics.com/images/zidane.jpg'
         #   OpenCV:          = cv2.imread('image.jpg')[:,:,::-1]  # HWC BGR to RGB x(640,1280,3)
-        #   PIL:             = Image.open('image.jpg')  # HWC x(640,1280,3)
+        #   PIL:             = Image.open('image.jpg') or ImageGrab.grab()  # HWC x(640,1280,3)
         #   numpy:           = np.zeros((640,1280,3))  # HWC
         #   torch:           = torch.zeros(16,3,320,640)  # BCHW (scaled to size=640, 0-1 values)
         #   multiple:        = [Image.open('image1.jpg'), Image.open('image2.jpg'), ...]  # list of images