diff --git a/invokeai/backend/args.py b/invokeai/backend/args.py
index b961658fde..952b799d70 100644
--- a/invokeai/backend/args.py
+++ b/invokeai/backend/args.py
@@ -490,7 +490,7 @@ class Args(object):
             "-z",
             type=int,
             default=6,
-            choices=range(0, 9),
+            choices=range(0, 10),
             dest="png_compression",
             help="level of PNG compression, from 0 (none) to 9 (maximum). Default is 6.",
         )
@@ -943,7 +943,6 @@ class Args(object):
             "--png_compression",
             "-z",
             type=int,
-            default=6,
             choices=range(0, 10),
             dest="png_compression",
             help="level of PNG compression, from 0 (none) to 9 (maximum). [6]",
diff --git a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
index ae5550880a..793ba024cf 100644
--- a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
+++ b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
@@ -1075,9 +1075,10 @@ def load_pipeline_from_original_stable_diffusion_ckpt(
         dlogging.set_verbosity_error()
 
         checkpoint = (
-            load_file(checkpoint_path)
-            if Path(checkpoint_path).suffix == ".safetensors"
-            else torch.load(checkpoint_path)
+            torch.load(checkpoint_path)
+            if Path(checkpoint_path).suffix == ".ckpt"
+            else load_file(checkpoint_path)
+            
         )
         cache_dir = global_cache_dir("hub")
         pipeline_class = (
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 84e2ab378b..9464057f71 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -732,9 +732,9 @@ class ModelManager(object):
 
         # another round of heuristics to guess the correct config file.
         checkpoint = (
-            safetensors.torch.load_file(model_path)
-            if model_path.suffix == ".safetensors"
-            else torch.load(model_path)
+            torch.load(model_path)
+            if model_path.suffix == ".ckpt"
+            else safetensors.torch.load_file(model_path)
         )
 
         # additional probing needed if no config file provided