add dynamo options

modules/sd_hijack.py

@@ -178,7 +178,8 @@ class StableDiffusionModelHijack:
         if opts.cuda_compile and opts.cuda_compile_mode != 'none':
             try:
                 import torch._dynamo as dynamo # pylint: disable=unused-import
-                torch._dynamo.config.verbose = True # pylint: disable=protected-access
+                torch._dynamo.config.verbose = opts.cuda_compile_verbose # pylint: disable=protected-access
+                torch._dynamo.config.suppress_errors = opts.cuda_compile_errors # pylint: disable=protected-access
                 torch.backends.cudnn.benchmark = True
                 m.model = torch.compile(m.model, mode="default", backend=opts.cuda_compile_mode, fullgraph=False, dynamic=False)
                 print("Model compile enabled:", opts.cuda_compile_mode)

modules/shared.py

@@ -325,6 +325,8 @@ options_templates.update(options_section(('cuda', "CUDA Settings"), {
     "cuda_allow_tf16_reduced": OptionInfo(True, "Allow TF16 reduced precision math ops"),
     "cuda_compile": OptionInfo(False, "Enable model compile (experimental)"),
     "cuda_compile_mode": OptionInfo("none", "Model compile mode (experimental)", gr.Radio, lambda: {"choices": ['none', 'inductor', 'cudagraphs', 'aot_ts_nvfuser']}),
+    "cuda_compile_verbose": OptionInfo(True, "Compile verbose mode"),
+    "cuda_compile_errors": OptionInfo(True, "Compile suppress errors"),
 }))
 
 options_templates.update(options_section(('upscaling', "Upscaling"), {