diff --git a/examples/gold_ball_ptycho.py b/examples/gold_ball_ptycho.py
index 4971975..fd7ba32 100644
--- a/examples/gold_ball_ptycho.py
+++ b/examples/gold_ball_ptycho.py
@@ -1,6 +1,6 @@
 import cdtools
-from matplotlib import pyplot as plt
 import torch as t
+from matplotlib import pyplot as plt
 
 filename = 'example_data/AuBalls_700ms_30nmStep_3_6SS_filter.cxi'
 dataset = cdtools.datasets.Ptycho2DDataset.from_cxi(filename)
@@ -26,7 +26,8 @@ model = cdtools.models.FancyPtycho.from_dataset(
     probe_support_radius=50,
     propagation_distance=2e-6,
     units='um',
-    probe_fourier_crop=pad 
+    probe_fourier_crop=pad,
+    panel_plot_mode=True, 
 )
 
 
@@ -39,9 +40,9 @@ model.translation_offsets.data += 0.7 * t.randn_like(model.translation_offsets)
 # Not much probe intensity instability in this dataset, no need for this
 model.weights.requires_grad = False
 
-device = 'cuda'
-model.to(device=device)
-dataset.get_as(device=device)
+if t.cuda.is_available():
+    model.to(device='cuda')
+    dataset.get_as(device='cuda')
 
 # Create the reconstructor
 recon = cdtools.reconstructors.AdamReconstructor(model, dataset)
diff --git a/examples/near_field_ptycho.py b/examples/near_field_ptycho.py
index c91076f..7b86bd3 100644
--- a/examples/near_field_ptycho.py
+++ b/examples/near_field_ptycho.py
@@ -1,11 +1,11 @@
 import cdtools
+import torch as t
 from matplotlib import pyplot as plt
 
 filename = 'example_data/PETRAIII_P25_Near_Field_Ptycho.cxi'
 dataset = cdtools.datasets.Ptycho2DDataset.from_cxi(filename)
 
 dataset.inspect()
-plt.show()
 
 # Setting near_field equal to True uses an angular spectrum propagator in
 # lieu of the default Fourier-transform propagator for far-field ptychography.
@@ -27,11 +27,12 @@ model = cdtools.models.FancyPtycho.from_dataset(
     propagation_distance=3.65e-3, # 3.65 downstream from focus
     units='um', # Set the units for the live plots
     obj_view_crop=-35,
+    panel_plot_mode=True,
 )
 
-device = 'cuda'
-model.to(device=device)
-dataset.get_as(device=device)
+if t.cuda.is_available():
+    model.to(device='cuda')
+    dataset.get_as(device='cuda')
 
 model.inspect(dataset)
 
diff --git a/src/cdtools/models/base.py b/src/cdtools/models/base.py
index 99a87f8..f6473dc 100644
--- a/src/cdtools/models/base.py
+++ b/src/cdtools/models/base.py
@@ -688,7 +688,7 @@ class CDIModel(t.nn.Module):
             else:
                 with plt.rc_context({'figure.raise_window': False}):
                     fig = plt.figure(plot['title'],
-                                     figsize = panel_def.get('figure_size', None)
+                                     figsize = figsize,
                                      constrained_layout=True)
 
             try:
diff --git a/src/cdtools/tools/plotting/plotting.py b/src/cdtools/tools/plotting/plotting.py
index 7069130..5380871 100644
--- a/src/cdtools/tools/plotting/plotting.py
+++ b/src/cdtools/tools/plotting/plotting.py
@@ -716,9 +716,9 @@ def plot_nanomap_with_images(translations, get_image_func, values=None, mask=Non
     # mode, i.e. on a figure that already has this thing showing.
 
     if fig is None:
-        fig = plt.figure(figsize=(20,4.5), constrained_layout=True)
+        fig = plt.figure(figsize=(8,5.3), constrained_layout=True)
     else:
-        fig = plt.figure(fig.number, figsize=(20,4.5),  constrained_layout=True)
+        fig = plt.figure(fig.number, figsize=(8,5.3),  constrained_layout=True)
         fig.clear()
         if hasattr(fig, 'nanomap_cids'):
             for cid in fig.nanomap_cids: