diff --git a/CHANGES.md b/CHANGES.md
index ac31a612..2151b8e8 100644
--- a/CHANGES.md
+++ b/CHANGES.md
@@ -20,6 +20,7 @@
 - A `What's New?` tab in the UI
 
 ### Detailed changelog
+* 2.4.7 - 18 Nov 2022 - Don't crash if a VAE file fails to load
 * 2.4.7 - 17 Nov 2022 - Fix a bug where Face Correction (GFPGAN) would fail on cuda:N (i.e. GPUs other than cuda:0), as well as fail on CPU if the system had an incompatible GPU.
 * 2.4.6 - 16 Nov 2022 - Fix a regression in VRAM usage during startup, which caused 'Out of Memory' errors when starting on GPUs with 4gb (or less) VRAM
 * 2.4.5 - 16 Nov 2022 - Add checkbox for "Open browser on startup".
diff --git a/ui/sd_internal/runtime.py b/ui/sd_internal/runtime.py
index 2308298e..486d2179 100644
--- a/ui/sd_internal/runtime.py
+++ b/ui/sd_internal/runtime.py
@@ -140,15 +140,24 @@ def load_model_ckpt():
     _, _ = modelFS.load_state_dict(sd, strict=False)
 
     if thread_data.vae_file is not None:
-        for model_extension in ['.ckpt', '.vae.pt']:
-            if os.path.exists(thread_data.vae_file + model_extension):
-                print(f"Loading VAE weights from: {thread_data.vae_file}{model_extension}")
-                vae_ckpt = torch.load(thread_data.vae_file + model_extension, map_location="cpu")
-                vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
-                modelFS.first_stage_model.load_state_dict(vae_dict, strict=False)
-                break
-            else:
-                print(f'Cannot find VAE file: {thread_data.vae_file}{model_extension}')
+        try:
+            loaded = False
+            for model_extension in ['.ckpt', '.vae.pt']:
+                if os.path.exists(thread_data.vae_file + model_extension):
+                    print(f"Loading VAE weights from: {thread_data.vae_file}{model_extension}")
+                    vae_ckpt = torch.load(thread_data.vae_file + model_extension, map_location="cpu")
+                    vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
+                    modelFS.first_stage_model.load_state_dict(vae_dict, strict=False)
+                    loaded = True
+                    break
+
+            if not loaded:
+                print(f'Cannot find VAE: {thread_data.vae_file}')
+                thread_data.vae_file = None
+        except:
+            print(traceback.format_exc())
+            print(f'Could not load VAE: {thread_data.vae_file}')
+            thread_data.vae_file = None
 
     modelFS.eval()
     # if thread_data.device != 'cpu':
diff --git a/ui/sd_internal/task_manager.py b/ui/sd_internal/task_manager.py
index 45f90f9f..4b96438c 100644
--- a/ui/sd_internal/task_manager.py
+++ b/ui/sd_internal/task_manager.py
@@ -436,7 +436,7 @@ def stop_render_thread(device):
     try:
         device_manager.validate_device_id(device, log_prefix='stop_render_thread')
     except:
-        print(traceback.format_exec())
+        print(traceback.format_exc())
         return False
 
     if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('stop_render_thread' + ERR_LOCK_FAILED)