diff --git a/.github/workflows/test-invoke-pip.yml b/.github/workflows/test-invoke-pip.yml
index 34c90f10c5..4985202782 100644
--- a/.github/workflows/test-invoke-pip.yml
+++ b/.github/workflows/test-invoke-pip.yml
@@ -119,6 +119,7 @@ jobs:
         run: >
           configure_invokeai.py
           --yes
+          --default_only
           --full-precision  # can't use fp16 weights without a GPU
 
       - name: Run the tests
diff --git a/docs/installation/020_INSTALL_MANUAL.md b/docs/installation/020_INSTALL_MANUAL.md
index c1181db347..ead1eb6536 100644
--- a/docs/installation/020_INSTALL_MANUAL.md
+++ b/docs/installation/020_INSTALL_MANUAL.md
@@ -217,7 +217,7 @@ manager, please follow these steps:
 
     !!! tip
 
-    Do not move the source code repository after installation. The virtual environment directory has absolute paths in it that get confused if the directory is moved.
+        Do not move the source code repository after installation. The virtual environment directory has absolute paths in it that get confused if the directory is moved.
 
 ---
 
diff --git a/scripts/configure_invokeai.py b/scripts/configure_invokeai.py
index 22ade19cdb..9d17a73317 100755
--- a/scripts/configure_invokeai.py
+++ b/scripts/configure_invokeai.py
@@ -197,6 +197,14 @@ def recommended_datasets()->dict:
             datasets[ds]=True
     return datasets
 
+#---------------------------------------------
+def default_dataset()->dict:
+    datasets = dict()
+    for ds in Datasets.keys():
+        if Datasets[ds].get('default',False):
+            datasets[ds]=True
+    return datasets
+
 #---------------------------------------------
 def all_datasets()->dict:
     datasets = dict()
@@ -646,7 +654,7 @@ def download_weights(opt:dict) -> Union[str, None]:
     precision = 'float32' if opt.full_precision else choose_precision(torch.device(choose_torch_device()))
 
     if opt.yes_to_all:
-        models = recommended_datasets()
+        models = default_dataset() if opt.default_only else recommended_datasets()
         access_token = authenticate(opt.yes_to_all)
         if len(models)>0:
             successfully_downloaded = download_weight_datasets(models, access_token, precision=precision)
@@ -808,6 +816,9 @@ def main():
                         dest='yes_to_all',
                         action='store_true',
                         help='answer "yes" to all prompts')
+    parser.add_argument('--default_only',
+                        action='store_true',
+                        help='when --yes specified, only install the default model')
     parser.add_argument('--config_file',
                         '-c',
                         dest='config_file',