diff --git a/README.md b/README.md
index 96119c71cbd335ed0f0f5da93ac4840f246c3a46..33bd80b8f56fafe6545f323f23651d354ad316fb 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,11 @@ Users only need an affinity for quality problems and an interest in high data qu
 > **Step 2** Set up a secret key stored in the file `session_key.env` that looks like this: `6zgm8raxznijv7781k49ut5m9`.
 
 > **Step 3** Make sure you have a docker built image of constrainify-core, qpm and mqaf.
+```
+docker pull harbor.gwdg.de/aqinda/constrainify-core
+docker pull harbor.gwdg.de/aqinda/qpm
+docker pull harbor.gwdg.de/aqinda/mqaf
+```
 
 > **Step 4**  User Docker to run the application:
 ```
diff --git a/docker-compose.yaml b/docker-compose.yaml
index 8689f5fe4b81af3dbb4f0245d74cb1f862d516e4..ddfde3a840e7ba25c5fcf35ddb8c13975110530c 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -3,7 +3,7 @@ version: '3.8'
 services:
   
   constrainify-core:
-    image: "constrainify-core"
+    image: "harbor.gwdg.de/aqinda/constrainify-core"
     environment:
       APP_NAME: constrainify-core
       LOG_FILENAME: /shared/constrainify-core.log
@@ -18,7 +18,7 @@ services:
       - "8000:8000"
 
   qpm:
-    image: "qpm"
+    image: "harbor.gwdg.de/aqinda/qpm"
     environment:
       SHARED_VOLUME: /shared
       UPLOAD_FOLDER: /shared/uploads