diff --git a/invokeai/backend/model_management/models/vae.py b/invokeai/backend/model_management/models/vae.py
index 957a102ffb..20ce28ad86 100644
--- a/invokeai/backend/model_management/models/vae.py
+++ b/invokeai/backend/model_management/models/vae.py
@@ -5,7 +5,6 @@ from typing import Optional
 
 import safetensors
 import torch
-from diffusers.utils import is_safetensors_available
 from omegaconf import OmegaConf
 
 from invokeai.app.services.config import InvokeAIAppConfig
@@ -175,5 +174,5 @@ def _convert_vae_ckpt_and_cache(
         vae_config=config,
         image_size=image_size,
     )
-    vae_model.save_pretrained(output_path, safe_serialization=is_safetensors_available())
+    vae_model.save_pretrained(output_path, safe_serialization=True)
     return output_path
diff --git a/pyproject.toml b/pyproject.toml
index e13ae607b9..2ccbb2ac05 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ dependencies = [
   "controlnet-aux>=0.0.6",
   "timm==0.6.13",   # needed to override timm latest in controlnet_aux, see  https://github.com/isl-org/ZoeDepth/issues/26
   "datasets",
-  "diffusers[torch]~=0.19.3",
+  "diffusers[torch]~=0.20.0",
   "dnspython~=2.4.0",
   "dynamicprompts",
   "easing-functions",
@@ -49,7 +49,7 @@ dependencies = [
   "fastapi==0.88.0",
   "fastapi-events==0.8.0",
   "fastapi-socketio==0.0.10",
-  "huggingface-hub>=0.11.1",
+  "huggingface-hub~=0.16.4",
   "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
   "matplotlib",                 # needed for plotting of Penner easing functions
   "mediapipe",                  # needed for "mediapipeface" controlnet model