diff --git a/modules/devices.py b/modules/devices.py
index 2cd0c8d0f..b67bc8d80 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -202,6 +202,10 @@ if backend == 'ipex':
     CondFunc('torch.nn.modules.Linear.forward',
         lambda orig_func, *args, **kwargs: orig_func(args[0], args[1].to(args[0].weight.data.dtype)),
         lambda *args, **kwargs: args[2].dtype != args[1].weight.data.dtype)
+    #Diffusers bfloat16:
+    CondFunc('torch.nn.modules.Conv2d._conv_forward',
+        lambda orig_func, *args, **kwargs: orig_func(args[0], args[1].to(args[2].data.dtype), args[2], args[3]),
+        lambda *args, **kwargs: args[2].dtype != args[3].data.dtype)
     #Functions that does not work with the XPU:
     #UniPC:
     CondFunc('torch.linalg.solve',
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 9543db97a..2c74390ef 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -744,7 +744,7 @@ def load_diffuser(checkpoint_info=None, already_loaded_state_dict=None, timer=No
                     if not refiner_enough_vram and not (shared.opts.diffusers_move_base and shared.opts.diffusers_move_refiner):
                         shared.log.warning(f"Insufficient GPU memory, using system memory as fallback: free={free_vram} GB")
                         shared.log.debug('Enabled moving base model to CPU')
-                        shared.log.debug('Enabled moving base model to CPU')
+                        shared.log.debug('Enabled moving refiner model to CPU')
                         shared.opts.diffusers_move_base=True
                         shared.opts.diffusers_move_refiner=True
                     shared.log.debug('Moving base model to CPU')