diff --git a/modules/onnx_impl/execution_providers.py b/modules/onnx_impl/execution_providers.py
index 10d0bc53f..e493dffca 100644
--- a/modules/onnx_impl/execution_providers.py
+++ b/modules/onnx_impl/execution_providers.py
@@ -12,6 +12,7 @@ class ExecutionProvider(str, Enum):
     MIGraphX = "MIGraphXExecutionProvider"
     OpenVINO = "OpenVINOExecutionProvider"
     Azure = "AzureExecutionProvider"
+    TensorRT = "TensorrtExecutionProvider"
 
 
 EP_TO_NAME = {
@@ -32,8 +33,13 @@ TORCH_DEVICE_TO_EP = {
 }
 
 from modules.onnx_impl import ort
+available_execution_providers = []
 if ort is not None:
-    available_execution_providers: list[ExecutionProvider] = [ExecutionProvider(ep) for ep in ort.get_available_providers()]
+    for provider in ort.get_available_providers():
+        try:
+            available_execution_providers.append(ExecutionProvider(provider))
+        except Exception as e:
+            log.warning(f"ONNX: provider{provider} {e}")
 else:
     available_execution_providers = []
 
diff --git a/modules/ui_control_elements.py b/modules/ui_control_elements.py
index fc84ea07f..461476a5d 100644
--- a/modules/ui_control_elements.py
+++ b/modules/ui_control_elements.py
@@ -300,13 +300,13 @@ def create_ui_elements(units, result_txt, output_gallery):
                     settings.append(gr.Checkbox(label="Boost", value=False))
                     settings.append(gr.Slider(label="Near threshold", minimum=0.0, maximum=1.0, step=0.01, value=0.0))
                     settings.append(gr.Slider(label="Depth threshold", minimum=0.0, maximum=1.0, step=0.01, value=0.0))
-                with gr.Accordion('MediaPipe Face (Legacy)', open=True, elem_classes=['processor-settings']):
+                with gr.Accordion('MediaPipe Face', open=True, elem_classes=['processor-settings']):
                     settings.append(gr.Slider(label="Max faces", minimum=1, maximum=10, step=1, value=1))
                     settings.append(gr.Slider(label="Face confidence", minimum=0.0, maximum=1.0, step=0.01, value=0.5))
                 with gr.Accordion('Canny', open=True, elem_classes=['processor-settings']):
                     settings.append(gr.Slider(label="Low threshold", minimum=0, maximum=1000, step=1, value=100))
                     settings.append(gr.Slider(label="High threshold", minimum=0, maximum=1000, step=1, value=200))
-                with gr.Accordion('DWPose (Legacy)', open=True, elem_classes=['processor-settings']):
+                with gr.Accordion('DWPose', open=True, elem_classes=['processor-settings']):
                     settings.append(gr.Radio(label="Pose Model", choices=['Tiny', 'Medium', 'Large'], value='Tiny'))
                     settings.append(gr.Slider(label="Pose confidence", minimum=0.0, maximum=1.0, step=0.01, value=0.3))
                 with gr.Accordion('SegmentAnything 1.0', open=True, elem_classes=['processor-settings']):