diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 3c5552dfa3..acf5c70984 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -216,7 +216,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
-    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection)
+    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
+    ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
+                                            title="IP Adapter Strength", ui_order=7)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -534,6 +536,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData],
                     ip_adapter_image=unwrapped_ip_adapter_image,
+                    ip_adapter_strength=self.ip_adapter_strength,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index e9416c8057..edada58c8a 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -359,6 +359,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -411,6 +412,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 additional_guidance=additional_guidance,
                 control_data=control_data,
                 ip_adapter_image=ip_adapter_image,
+                ip_adapter_strength=ip_adapter_strength,
                 callback=callback,
             )
         finally:
@@ -431,6 +433,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
 
@@ -463,6 +466,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                                    ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
                                    "cuda")                  # hardwiring CUDA GPU for first pass
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
+            ip_adapter.set_scale(ip_adapter_strength)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel