diff --git a/installer.py b/installer.py
index 8833d8652..c44e27a63 100644
--- a/installer.py
+++ b/installer.py
@@ -442,41 +442,12 @@ def check_torch():
             torchvision_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.0.110%2Bxpu-master%2Bdll-bundle/torchvision-0.15.2a0+fa99a53-cp310-cp310-win_amd64.whl'
             ipex_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.0.110%2Bxpu-master%2Bdll-bundle/intel_extension_for_pytorch-2.0.110+gitc6ea20b-cp310-cp310-win_amd64.whl'
             torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip} {ipex_pip}')
+        uninstall('openvino-nightly')
         install('openvino', 'openvino', ignore=True)
         install('onnxruntime-openvino', 'onnxruntime-openvino', ignore=True) # TODO numpy version conflicts with tensorflow and doesn't support Python 3.11
     elif allow_openvino and args.use_openvino:
         log.info('Using OpenVINO')
-        if "linux" in sys.platform:
-            if sys.version_info[1] == 11:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp311-cp311-linux_x86_64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp311-cp311-linux_x86_64.whl'
-            elif sys.version_info[1] == 10:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp310-cp310-linux_x86_64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp310-cp310-linux_x86_64.whl'
-            elif sys.version_info[1] == 8:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp38-cp38-linux_x86_64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp38-cp38-linux_x86_64.whl'
-            else:
-                log.error('Unsupported Python version')
-                #Will error when generating an image:
-                pytorch_pip = 'torch==2.1.0'
-                torchvision_pip = 'torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cpu'
-        else:
-            if sys.version_info[1] == 11:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp311-cp311-win_amd64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp311-cp311-win_amd64.whl'
-            elif sys.version_info[1] == 10:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp310-cp310-win_amd64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp310-cp310-win_amd64.whl'
-            elif sys.version_info[1] == 8:
-                pytorch_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torch-2.1.0.dev20230820+cpu-cp38-cp38-win_amd64.whl'
-                torchvision_pip = 'https://github.com/Disty0/automatic/releases/download/openvino_pre_release_pytorch/torchvision-0.16.0.dev20230820+cpu-cp38-cp38-win_amd64.whl'
-            else:
-                log.error('Unsupported Python version')
-                #Will error when generating an image:
-                pytorch_pip = 'torch==2.1.0'
-                torchvision_pip = 'torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cpu'
-        torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip}')
+        torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cpu')
     else:
         machine = platform.machine()
         if sys.platform == 'darwin':
@@ -546,7 +517,8 @@ def check_torch():
     if opts.get('cuda_compile_backend', '') == 'hidet':
         install('hidet', 'hidet')
     if args.use_openvino or opts.get('cuda_compile_backend', '') == 'openvino_fx':
-        install('openvino==2023.2.0.dev20230922', 'openvino')
+        uninstall('openvino')
+        install('openvino-nightly==2023.2.0.dev20231102', 'openvino-nightly')
         install('onnxruntime-openvino', 'onnxruntime-openvino', ignore=True) # TODO numpy version conflicts with tensorflow and doesn't support Python 3.11
         os.environ.setdefault('PYTORCH_TRACING_MODE', 'TORCHFX')
         os.environ.setdefault('NEOReadDebugKeys', '1')
diff --git a/modules/intel/openvino/__init__.py b/modules/intel/openvino/__init__.py
index 5e62dbbc0..34f575e3e 100644
--- a/modules/intel/openvino/__init__.py
+++ b/modules/intel/openvino/__init__.py
@@ -126,10 +126,16 @@ def cached_model_name(model_hash_str, device, args, cache_root, reversed = False
 
     inputs_str = ""
     for input_data in args:
-        if reversed:
-            inputs_str = "_" + str(input_data.type()) + str(input_data.size())[11:-1].replace(" ", "") + inputs_str
+        if isinstance(input_data, torch.SymInt):
+            if reversed:
+                inputs_str = "_" + "torch.SymInt" + inputs_str
+            else:
+                inputs_str += "_" + "torch.SymInt1"
         else:
-            inputs_str += "_" + str(input_data.type()) + str(input_data.size())[11:-1].replace(" ", "")
+            if reversed:
+                inputs_str = "_" + str(input_data.type()) + str(input_data.size())[11:-1].replace(" ", "") + inputs_str
+            else:
+                inputs_str += "_" + str(input_data.type()) + str(input_data.size())[11:-1].replace(" ", "")
     inputs_str = sha256(inputs_str.encode('utf-8')).hexdigest()
     file_name += inputs_str
 
@@ -196,8 +202,12 @@ def openvino_compile(gm: GraphModule, *args, model_hash_str: str = None, file_na
         input_shapes = []
         input_types = []
         for input_data in args:
-            input_types.append(input_data.type())
-            input_shapes.append(input_data.size())
+            if isinstance(input_data, torch.SymInt):
+                input_types.append(torch.SymInt)
+                input_shapes.append([1])
+            else:
+                input_types.append(input_data.type())
+                input_shapes.append(input_data.size())
 
         decoder = TorchFXPythonDecoder(gm, gm, input_shapes=input_shapes, input_types=input_types)
 
@@ -339,6 +349,7 @@ def partition_graph(gm: GraphModule, use_python_fusion_cache: bool, model_hash_s
 def openvino_fx(subgraph, example_inputs):
     executor_parameters = None
     inputs_reversed = False
+    maybe_fs_cached_name = None
     if not shared.opts.openvino_disable_model_caching:
         os.environ.setdefault('OPENVINO_TORCH_MODEL_CACHING', "1")
         # Create a hash to be used for caching
diff --git a/modules/shared.py b/modules/shared.py
index 5e3846b26..9998133ef 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -286,7 +286,7 @@ options_templates.update(options_section(('cuda', "Compute Settings"), {
 
     "cuda_compile_sep": OptionInfo("<h2>Model Compile</h2>", "", gr.HTML),
     "cuda_compile": OptionInfo(True if cmd_opts.use_openvino else False, "Enable model compile"),
-    "cuda_compile_upscaler": OptionInfo(False, "Enable upscaler compile"),
+    "cuda_compile_upscaler": OptionInfo(True if cmd_opts.use_openvino else False, "Enable upscaler compile"),
     "cuda_compile_backend": OptionInfo("openvino_fx" if cmd_opts.use_openvino else "none", "Model compile backend", gr.Radio, {"choices": ['none', 'inductor', 'cudagraphs', 'aot_ts_nvfuser', 'hidet', 'ipex', 'openvino_fx']}),
     "cuda_compile_mode": OptionInfo("default", "Model compile mode", gr.Radio, {"choices": ['default', 'reduce-overhead', 'max-autotune']}),
     "cuda_compile_fullgraph": OptionInfo(False, "Model compile fullgraph"),