diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 02788c0ba6..920cb3780a 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -3,12 +3,14 @@
 
 from typing import List, Optional, TypedDict, Union
 
+import safetensors
+import safetensors.torch
 import torch
 from PIL import Image
-from safetensors import safe_open
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
 from invokeai.backend.ip_adapter.ip_attention_weights import IPAttentionWeights
+from invokeai.backend.util.devices import choose_torch_device
 
 from ..raw_model import RawModel
 from .resampler import Resampler
@@ -208,12 +210,12 @@ def load_ip_adapter_tensors(ip_adapter_ckpt_path: str, device: str) -> IPAdapter
     state_dict: IPAdapterStateDict = {"ip_adapter": {}, "image_proj": {}}
 
     if ip_adapter_ckpt_path.endswith("safetensors"):
-        model = safe_open(ip_adapter_ckpt_path, device=device, framework="pt")
+        model = safetensors.torch.load_file(ip_adapter_ckpt_path, device=device)
         for key in model.keys():
             if key.startswith("image_proj."):
-                state_dict["image_proj"][key.replace("image_proj.", "")] = model.get_tensor(key)
+                state_dict["image_proj"][key.replace("image_proj.", "")] = model[key]
             elif key.startswith("ip_adapter."):
-                state_dict["ip_adapter"][key.replace("ip_adapter.", "")] = model.get_tensor(key)
+                state_dict["ip_adapter"][key.replace("ip_adapter.", "")] = model[key]
             else:
                 raise RuntimeError(f"Encountered unexpected IP Adapter state dict key: '{key}'.")
     else: