diff --git a/demos/getting_started_1.py b/demos/getting_started_1.py
index d0390261bb30888251d2943ab0b91ae5ca404198..76425bea5b55995d516d34c119731e8c71093348 100644
--- a/demos/getting_started_1.py
+++ b/demos/getting_started_1.py
@@ -53,7 +53,7 @@ if __name__ == '__main__':
         mask = np.ones(position_space.shape)
     elif mode == 1:
         # Two dimensional regular grid with chess mask
-        position_space = ift.RGSpace([4096, 4096])
+        position_space = ift.RGSpace([128, 128])
         mask = make_chess_mask(position_space)
     else:
         # Sphere with half of its locations randomly masked
@@ -95,7 +95,7 @@ if __name__ == '__main__':
     j = R.adjoint_times(N.inverse_times(data))
     D_inv = R.adjoint(N.inverse(R)) + S.inverse
     # Make it invertible
-    IC = ift.GradientNormController(iteration_limit=500, tol_abs_gradnorm=1e-3, name="blah")
+    IC = ift.GradientNormController(iteration_limit=500, tol_abs_gradnorm=1e-3)
     D = ift.InversionEnabler(D_inv, IC, approximation=S.inverse).inverse
 
     # WIENER FILTER
diff --git a/demos/getting_started_3.py b/demos/getting_started_3.py
index f77a7295e53f6e72be14d440cae853052cfc795b..a313268f46ccc5ed9b5badf59fa6a4986260fd98 100644
--- a/demos/getting_started_3.py
+++ b/demos/getting_started_3.py
@@ -95,7 +95,6 @@ if __name__ == '__main__':
     N_samples = 20
     for i in range(2):
         metric = H(ift.Linearization.make_var(position)).metric
-        print(metric)
         samples = [metric.draw_sample(from_inverse=True)
                    for _ in range(N_samples)]