diff --git a/docs/MonoLoco++.md b/docs/MonoLoco++.md
index 1249792..1258db3 100644
--- a/docs/MonoLoco++.md
+++ b/docs/MonoLoco++.md
@@ -66,6 +66,11 @@ To show all the instances estimated by MonoLoco add the argument `show_all` to t
 
 ![predict_all](out_002282.png.multi_all.jpg)
 
+It is also possible to run [openpifpaf](https://github.com/vita-epfl/openpifpaf) directly
+by specifying the network with the argument `--net pifpaf`. All pifpaf arguments are supported.
+
+![predict_all](out_002282_pifpaf.jpg)
+
 ### Social Distancing
 To visualize social distancing compliance, simply add the argument `--social-distance` to the predict command.
 
diff --git a/docs/out_002282.png.multi_all.jpg b/docs/out_002282.png.multi_all.jpg
index 08722fd..d327ac1 100644
Binary files a/docs/out_002282.png.multi_all.jpg and b/docs/out_002282.png.multi_all.jpg differ
diff --git a/docs/out_002282_pifpaf.jpg b/docs/out_002282_pifpaf.jpg
new file mode 100644
index 0000000..7a3b3a1
Binary files /dev/null and b/docs/out_002282_pifpaf.jpg differ
diff --git a/monstereo/predict.py b/monstereo/predict.py
index 3c5f342..571af47 100644
--- a/monstereo/predict.py
+++ b/monstereo/predict.py
@@ -22,6 +22,7 @@ from .activity import show_social
 
 LOG = logging.getLogger(__name__)
 
+OPENPIFPAF_PATH = 'data/models/shufflenetv2k30-201104-224654-cocokp-d75ed641.pkl'  # Default model
 
 def factory_from_args(args):
 
@@ -33,7 +34,12 @@ def factory_from_args(args):
 
     # Model
     if not args.checkpoint:
-        args.checkpoint = 'data/models/shufflenetv2k30-201104-224654-cocokp-d75ed641.pkl'  # Default model
+        if os.path.exists(OPENPIFPAF_PATH):
+            args.checkpoint = OPENPIFPAF_PATH
+        else:
+            print("Checkpoint for OpenPifPaf not specified and default model not found in 'data/models'. "
+                  "Using a ShuffleNet backbone")
+            args.checkpoint = 'shufflenetv2k30'
 
     # Devices
     args.device = torch.device('cpu')