diff --git a/jobs/process/BaseSDTrainProcess.py b/jobs/process/BaseSDTrainProcess.py
index 1624fc4f..475176ad 100644
--- a/jobs/process/BaseSDTrainProcess.py
+++ b/jobs/process/BaseSDTrainProcess.py
@@ -2049,8 +2049,10 @@ class BaseSDTrainProcess(BaseTrainProcess):
         # compile the model if needed (must be after LoRA/adapter injection AND accelerator.prepare)
         if self.model_config.compile:
             try:
-                print_acc(f"Compiling model with torch.compile")
-                self.sd.unet = torch.compile(self.sd.unet, dynamic=True, mode='reduce-overhead')
+                # make sure it is on the gpu
+                self.sd.unet.to(self.device_torch)
+                print_acc("Compiling model with torch.compile. The first forward will hang for a while using this. This is normal.")
+                self.sd.unet = torch.compile(self.sd.unet)
             except Exception as e:
                 print_acc(f"Failed to compile model: {e}")
                 print_acc("Continuing without compilation")
diff --git a/toolkit/config_modules.py b/toolkit/config_modules.py
index 03d22306..09315aed 100644
--- a/toolkit/config_modules.py
+++ b/toolkit/config_modules.py
@@ -695,6 +695,10 @@ class ModelConfig:
         # compile the model with torch compile
         self.compile = kwargs.get("compile", False)
         
+        if self.compile and self.quantize:
+            print("Warning: You cannot compile a quantized model. Disabling compile.")
+            self.compile = False
+        
         # kwargs to pass to the model
         self.model_kwargs = kwargs.get("model_kwargs", {})