diff --git a/CHANGELOG.md b/CHANGELOG.md
index 57b08fbe7..8091176e8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -29,6 +29,7 @@
   style-aligned applies selected attention layers uniformly to all images to achive consistency  
   can be used with or without input image in which case first prompt is used to establish baseline  
   *note:* all prompts are processes as a single batch, so vram is limiting factor
+- **OpenVINO**: update to 2024.5.0  
 
 ### UI and workflow improvements
 
diff --git a/installer.py b/installer.py
index 8fb6d9683..c849ac5b6 100644
--- a/installer.py
+++ b/installer.py
@@ -640,7 +640,7 @@ def install_ipex(torch_command):
         # os.environ.setdefault('TENSORFLOW_PACKAGE', 'tensorflow==2.15.1 intel-extension-for-tensorflow[xpu]==2.15.0.1')
     else:
         torch_command = os.environ.get('TORCH_COMMAND', '--pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/xpu') # torchvision doesn't exist on test/stable branch for windows
-    install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.3.0'), 'openvino', ignore=True)
+    install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.5.0'), 'openvino', ignore=True)
     install('nncf==2.7.0', 'nncf', ignore=True)
     install(os.environ.get('ONNXRUNTIME_PACKAGE', 'onnxruntime-openvino'), 'onnxruntime-openvino', ignore=True)
     return torch_command
@@ -650,7 +650,7 @@ def install_openvino(torch_command):
     check_python(supported_minors=[8, 9, 10, 11, 12], reason='OpenVINO backend requires Python 3.9, 3.10 or 3.11')
     log.info('OpenVINO: selected')
     torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.3.1+cpu torchvision==0.18.1+cpu --index-url https://download.pytorch.org/whl/cpu')
-    install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.3.0'), 'openvino')
+    install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.5.0'), 'openvino')
     install(os.environ.get('ONNXRUNTIME_PACKAGE', 'onnxruntime-openvino'), 'onnxruntime-openvino', ignore=True)
     install('nncf==2.12.0', 'nncf')
     os.environ.setdefault('PYTORCH_TRACING_MODE', 'TORCHFX')
diff --git a/modules/shared.py b/modules/shared.py
index 269510b08..aa41a6fd6 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -450,16 +450,16 @@ def get_default_modes():
         default_cross_attention = "Scaled-Dot-Product" if native else "Doggettx's"
     elif devices.backend == "mps":
         default_cross_attention = "Scaled-Dot-Product" if native else "Doggettx's"
-    else: # cuda, rocm, ipex, openvino
-        default_cross_attention ="Scaled-Dot-Product"
+    else: # cuda, rocm, zluda, ipex, openvino
+        default_cross_attention = "Scaled-Dot-Product"
 
     if devices.backend == "rocm":
         default_sdp_options =  ['Memory attention', 'Math attention']
     elif devices.backend == "zluda":
-        default_sdp_options =  ['Math attention']
+        default_sdp_options =  ['Math attention', 'Dynamic attention']
     else:
         default_sdp_options = ['Flash attention', 'Memory attention', 'Math attention']
-    if (cmd_opts.lowvram or cmd_opts.medvram) and ('Flash attention' not in default_sdp_options):
+    if (cmd_opts.lowvram or cmd_opts.medvram) and ('Flash attention' not in default_sdp_options and 'Dynamic attention' not in default_sdp_options):
         default_sdp_options.append('Dynamic attention')
 
     return default_offload_mode, default_cross_attention, default_sdp_options