diff --git a/modules/sd_models.py b/modules/sd_models.py
index 7d4ab0fd8..26a5127cd 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -541,7 +541,7 @@ def repair_config(sd_config):
     if hasattr(sd_config.model.params, 'unet_config'):
         if shared.cmd_opts.no_half:
             sd_config.model.params.unet_config.params.use_fp16 = False
-        elif shared.cmd_opts.upcast_sampling:
+        elif shared.cmd_opts.upcast_sampling or shared.cmd_opts.precision == "half":
             sd_config.model.params.unet_config.params.use_fp16 = True
 
     if getattr(sd_config.model.params.first_stage_config.params.ddconfig, "attn_type", None) == "vanilla-xformers" and not shared.xformers_available:
@@ -733,10 +733,6 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
             sd_model = instantiate_from_config(sd_config.model)
 
     sd_model.used_config = checkpoint_config
-    # ldm's Unet is using self.dtype to cast input tensor. If we do not overwrite
-    # UnetModel.dtype, it will be the default dtype from config.
-    # sgm's Unet is not using dtype for casting. The value will be ignored.
-    sd_model.model.diffusion_model.dtype = devices.dtype_unet
 
     timer.record("create model")