Don't force VAE compile with OpenVINO and set min detected memory for…

… dyn atten to 4

modules/shared.py

@@ -536,8 +536,8 @@ def get_default_modes():
     "cross_attention_optimization": OptionInfo(startup_cross_attention, "Attention optimization method", gr.Radio, lambda: {"choices": shared_items.list_crossattention(native)}),
     "sdp_options": OptionInfo(startup_sdp_options, "SDP options", gr.CheckboxGroup, {"choices": ['Flash attention', 'Memory attention', 'Math attention', 'Dynamic attention', 'Sage attention'], "visible": native}),
     "xformers_options": OptionInfo(['Flash attention'], "xFormers options", gr.CheckboxGroup, {"choices": ['Flash attention'] }),
-    "dynamic_attention_slice_rate": OptionInfo(0.5, "Dynamic Attention slicing rate in GB", gr.Slider, {"minimum": 0.01, "maximum": gpu_memory, "step": 0.01, "visible": native}),
-    "dynamic_attention_trigger_rate": OptionInfo(1, "Dynamic Attention trigger rate in GB", gr.Slider, {"minimum": 0.01, "maximum": gpu_memory*2, "step": 0.01, "visible": native}),
+    "dynamic_attention_slice_rate": OptionInfo(0.5, "Dynamic Attention slicing rate in GB", gr.Slider, {"minimum": 0.01, "maximum": max(gpu_memory,4), "step": 0.01, "visible": native}),
+    "dynamic_attention_trigger_rate": OptionInfo(1, "Dynamic Attention trigger rate in GB", gr.Slider, {"minimum": 0.01, "maximum": max(gpu_memory,4)*2, "step": 0.01, "visible": native}),
     "sub_quad_sep": OptionInfo("<h3>Sub-quadratic options</h3>", "", gr.HTML, {"visible": not native}),
     "sub_quad_q_chunk_size": OptionInfo(512, "Attention query chunk size", gr.Slider, {"minimum": 16, "maximum": 8192, "step": 8, "visible": not native}),
     "sub_quad_kv_chunk_size": OptionInfo(512, "Attention kv chunk size", gr.Slider, {"minimum": 0, "maximum": 8192, "step": 8, "visible": not native}),

modules/ui.py

@@ -250,9 +250,6 @@ def run_settings(*args):
             if "Model" not in shared.opts.cuda_compile:
                 shared.log.warning("OpenVINO: Enabling Torch Compile Model")
                 shared.opts.cuda_compile.append("Model")
-            if "VAE" not in shared.opts.cuda_compile:
-                shared.log.warning("OpenVINO: Enabling Torch Compile VAE")
-                shared.opts.cuda_compile.append("VAE")
             if shared.opts.cuda_compile_backend != "openvino_fx":
                 shared.log.warning("OpenVINO: Setting Torch Compiler backend to OpenVINO FX")
                 shared.opts.cuda_compile_backend = "openvino_fx"