diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 948d7d130c..a3935bc9f4 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -34,8 +34,7 @@ class CompelOutput(BaseInvocationOutput):
     # model: ModelField           = Field(default=None, description="Model")
     # src? + loras -> tokenizer + text_encoder + loras
     # clip:  ClipField            = Field(default=None, description="Text encoder(clip)")
-    positive: ConditioningField = Field(default=None, description="Positive conditioning")
-    negative: ConditioningField = Field(default=None, description="Negative conditioning")
+    conditioning: ConditioningField = Field(default=None, description="Conditioning")
     #fmt: on
 
 
@@ -134,20 +133,14 @@ class CompelInvocation(BaseInvocation):
             cross_attention_control_args=options.get("cross_attention_control", None),
         )
 
-        name_prefix = f'{context.graph_execution_state_id}__{self.id}'
-        name_positive = f"{name_prefix}_positive"
-        name_negative = f"{name_prefix}_negative"
+        name_cond = f"{context.graph_execution_state_id}_{self.id}_conditioning"
 
         # TODO: hacky but works ;D maybe rename latents somehow?
-        context.services.latents.set(name_positive, (c, ec))
-        context.services.latents.set(name_negative, (uc, None))
+        context.services.latents.set(name_cond, (c, uc, ec))
 
         return CompelOutput(
-            positive=ConditioningField(
-                conditioning_name=name_positive,
-            ),
-            negative=ConditioningField(
-                conditioning_name=name_negative,
+            conditioning=ConditioningField(
+                conditioning_name=name_cond,
             ),
         )
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 7e3df2f716..4c3de0a7e1 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -144,8 +144,7 @@ class TextToLatentsInvocation(BaseInvocation):
 
     # Inputs
     # fmt: off
-    positive: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
+    conditioning: Optional[ConditioningField] = Field(description="Conditioning for generation")
     seed:        int = Field(default=-1,ge=-1, le=np.iinfo(np.uint32).max, description="The seed to use (-1 for a random seed)", )
     noise: Optional[LatentsField] = Field(description="The noise to use")
     steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
@@ -205,8 +204,7 @@ class TextToLatentsInvocation(BaseInvocation):
 
 
     def get_conditioning_data(self, context: InvocationContext, model: StableDiffusionGeneratorPipeline) -> ConditioningData:
-        c, extra_conditioning_info = context.services.latents.get(self.positive.conditioning_name)
-        uc, _ = context.services.latents.get(self.negative.conditioning_name)
+        c, uc, extra_conditioning_info = context.services.latents.get(self.conditioning.conditioning_name)
 
         conditioning_data = ConditioningData(
             uc,