diff --git a/invokeai/app/services/config/config_default.py b/invokeai/app/services/config/config_default.py
index 180c4a4b3e..0a07e3e9d7 100644
--- a/invokeai/app/services/config/config_default.py
+++ b/invokeai/app/services/config/config_default.py
@@ -263,7 +263,7 @@ class InvokeAIAppConfig(InvokeAISettings):
 
     # DEVICE
     device              : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", json_schema_extra=Categories.Device)
-    precision           : Literal["auto", "float16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", json_schema_extra=Categories.Device)
+    precision           : Literal["auto", "float16", "bfloat16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", json_schema_extra=Categories.Device)
 
     # GENERATION
     sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", json_schema_extra=Categories.Generation)
diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index 5b5f616ca9..d6d3ad727f 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -34,18 +34,23 @@ def choose_precision(device: torch.device) -> str:
     if device.type == "cuda":
         device_name = torch.cuda.get_device_name(device)
         if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
-            return "float16"
+            if config.precision == "bfloat16":
+                return "bfloat16"
+            else:
+                return "float16"
     elif device.type == "mps":
         return "float16"
     return "float32"
 
 
 def torch_dtype(device: torch.device) -> torch.dtype:
-    if config.full_precision:
-        return torch.float32
-    if choose_precision(device) == "float16":
-        return torch.bfloat16 if device.type == "cuda" else torch.float16
+    precision = choose_precision(device)
+    if precision == "float16":
+        return torch.float16
+    if precision == "bfloat16":
+        return torch.bfloat16
     else:
+        # "auto", "autocast", "float32"
         return torch.float32