diff --git a/GPy/testing/baseline/bayesian_gplvm_gradient.png b/GPy/testing/baseline/bayesian_gplvm_gradient.png
index f94933ed..9ceec5df 100644
Binary files a/GPy/testing/baseline/bayesian_gplvm_gradient.png and b/GPy/testing/baseline/bayesian_gplvm_gradient.png differ
diff --git a/GPy/testing/baseline/gplvm_gradient.png b/GPy/testing/baseline/gplvm_gradient.png
index 166bdf35..338326f6 100644
Binary files a/GPy/testing/baseline/gplvm_gradient.png and b/GPy/testing/baseline/gplvm_gradient.png differ
diff --git a/GPy/testing/baseline/gplvm_latent.png b/GPy/testing/baseline/gplvm_latent.png
index af15b3e1..305ec046 100644
Binary files a/GPy/testing/baseline/gplvm_latent.png and b/GPy/testing/baseline/gplvm_latent.png differ
diff --git a/GPy/testing/baseline/gplvm_latent_3d.png b/GPy/testing/baseline/gplvm_latent_3d.png
index c672a0cc..795e89f9 100644
Binary files a/GPy/testing/baseline/gplvm_latent_3d.png and b/GPy/testing/baseline/gplvm_latent_3d.png differ
diff --git a/GPy/testing/baseline/gplvm_magnification.png b/GPy/testing/baseline/gplvm_magnification.png
index 6d171f4b..dc7d7101 100644
Binary files a/GPy/testing/baseline/gplvm_magnification.png and b/GPy/testing/baseline/gplvm_magnification.png differ
diff --git a/GPy/testing/plotting_tests.py b/GPy/testing/plotting_tests.py
index ecfa0d26..f9f47b91 100644
--- a/GPy/testing/plotting_tests.py
+++ b/GPy/testing/plotting_tests.py
@@ -311,7 +311,7 @@ def test_gplvm():
     from ..examples.dimensionality_reduction import _simulate_matern
     from ..kern import RBF
     from ..models import GPLVM
-    np.random.seed(1234)
+    np.random.seed(12345)
     matplotlib.rcParams.update(matplotlib.rcParamsDefault)
     matplotlib.rcParams[u'figure.figsize'] = (4,3)
     matplotlib.rcParams[u'text.usetex'] = False
@@ -340,7 +340,7 @@ def test_gplvm():
     m.plot_scatter(projection='3d', labels=labels)
     np.random.seed(111)
     m.plot_magnification(labels=labels)
-    m.plot_steepest_gradient_map(resolution=7, data_labels=labels)
+    m.plot_steepest_gradient_map(resolution=10, data_labels=labels)
     for do_test in _image_comparison(baseline_images=['gplvm_{}'.format(sub) for sub in ["latent", "latent_3d", "magnification", 'gradient']], extensions=extensions):
         yield (do_test, )
 
@@ -382,7 +382,7 @@ def test_bayesian_gplvm():
     np.random.seed(111)
     m.plot_magnification(labels=labels)
     np.random.seed(111)
-    m.plot_steepest_gradient_map(resolution=7, data_labels=labels)
+    m.plot_steepest_gradient_map(resolution=10, data_labels=labels)
     for do_test in _image_comparison(baseline_images=['bayesian_gplvm_{}'.format(sub) for sub in ["inducing", "inducing_3d", "latent", "latent_3d", "magnification", 'gradient']], extensions=extensions):
         yield (do_test, )