diff --git a/generate.sh b/generate.sh
index a22ace7..ca87608 100644
--- a/generate.sh
+++ b/generate.sh
@@ -17,7 +17,7 @@ generate_docker() {
            --miniconda \
              conda_install="python=3.7 pytest jupyter jupyterlab jupyter_contrib_nbextensions
                             traits pandas matplotlib scikit-learn scikit-image seaborn nbformat nb_conda" \
-             pip_install="https://github.com/nipy/nipype/tarball/master
+             pip_install="git+https://github.com/nipy/nipype.git@rel/1.6.1
                           https://github.com/INCF/pybids/tarball/0.7.1
                           nilearn datalad[full] nipy duecredit nbval niflow-nipype1-workflows" \
              create_env="neuro" \
@@ -56,7 +56,7 @@ generate_singularity() {
            --miniconda \
              conda_install="python=3.7 pytest jupyter jupyterlab jupyter_contrib_nbextensions
                             traits pandas matplotlib scikit-learn scikit-image seaborn nbformat nb_conda" \
-             pip_install="https://github.com/nipy/nipype/tarball/master
+             pip_install="git+https://github.com/nipy/nipype.git@rel/1.6.1
                           https://github.com/INCF/pybids/tarball/0.7.1
                           nilearn datalad[full] nipy duecredit nbval niflow-nipype1-workflows" \
              create_env="neuro" \
diff --git a/notebooks/basic_nodes.ipynb b/notebooks/basic_nodes.ipynb
index b8e2627..20cdbfe 100644
--- a/notebooks/basic_nodes.ipynb
+++ b/notebooks/basic_nodes.ipynb
@@ -170,8 +170,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "in_file = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n",
+    "\n",
     "# Specify node inputs\n",
-    "bet.inputs.in_file = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n",
+    "bet.inputs.in_file = in_file\n",
     "bet.inputs.out_file = '/output/node_T1w_bet.nii.gz'"
    ]
   },
@@ -200,7 +202,7 @@
     "from nilearn.plotting import plot_anat\n",
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
-    "plot_anat(bet.inputs.in_file, title='BET input', cut_coords=(10,10,10),\n",
+    "plot_anat(in_file, title='BET input', cut_coords=(10,10,10),\n",
     "          display_mode='ortho', dim=-1, draw_cross=False, annotate=False);\n",
     "plot_anat(res.outputs.out_file, title='BET output', cut_coords=(10,10,10),\n",
     "          display_mode='ortho', dim=-1, draw_cross=False, annotate=False);"