tried PLMS5

app.py

@@ -49,7 +49,7 @@ def create_ds(img_paths):
         ]
     return mn.data.Dataset(data_list, transform=mn.transforms.Compose(Ts_list))
 
-def make_predictions(img_path, angles=None, cls_batch=None, rotate_to_standard=False, sampler="DDIM10"):
+def make_predictions(img_path, angles=None, cls_batch=None, rotate_to_standard=False, sampler="PLMS5"):
     
     global model
     global BASELINE_NOISE