diff --git a/README.md b/README.md
index 5d50fe8c9..9b6fe974a 100644
--- a/README.md
+++ b/README.md
@@ -123,6 +123,7 @@ Download the original NeRF Blender dataset. We support the major datasets and al
 
 ```
 ns-download-data --dataset=blender
+ns-download-data --dataset=nerfstudio --capture=poster
 ```
 
 Use `--help` to view all currently available datasets. The resulting script should download and unpack the dataset as follows:
@@ -150,8 +151,11 @@ ns-train --help
 # Run a vanilla nerf model.
 ns-train vanilla-nerf
 
-#
+# Run with nerfacto model.
 ns-train nerfacto
+
+# Run with nerfstudio data. You'll may have to change the ports, and be sure to forward the "websocket-port".
+ns-train nerfacto --vis viewer --viewer.zmq-port 8001 --viewer.websocket-port 8002 nerfactory-data --pipeline.datamanager.dataparser.data-directory data/nerfstudio/poster --pipeline.datamanager.dataparser.downscale-factor 4
 ```
 
 ### 3.x Training a model with the viewer
diff --git a/docs/tutorials/quickstart.md b/docs/tutorials/quickstart.md
index 7c89c6416..aa71371a8 100644
--- a/docs/tutorials/quickstart.md
+++ b/docs/tutorials/quickstart.md
@@ -61,6 +61,7 @@ Download the original NeRF Blender dataset. We support the major datasets and al
 
 ```
 ns-download-data --dataset=blender
+ns-download-data --dataset=nerfstudio --capture=poster
 ```
 
 Use `--help` to view all currently available datasets. The resulting script should download and unpack the dataset as follows:
@@ -87,12 +88,18 @@ Run a vanilla nerf model.
 ns-train vanilla-nerf
 ```
 
-Run a vanilla nerf model.
+Run a nerfacto model.
 
 ```bash
 ns-train nerfacto
 ```
 
+Run with nerfstudio data. You'll may have to change the ports, and be sure to forward the "websocket-port".
+
+```
+ns-train nerfacto --vis viewer --viewer.zmq-port 8001 --viewer.websocket-port 8002 nerfactory-data --pipeline.datamanager.dataparser.data-directory data/nerfstudio/poster --pipeline.datamanager.dataparser.downscale-factor 4
+```
+
 # Visualizing training runs
 
 If you using a fast NeRF variant (ie. Instant-NGP), we reccomend using our viewer. See our [viewer docs](../tutorials/viewer/viewer_quickstart.md) for more details. The viewer will allow interactive visualization of training in realtime.