diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 58ea30ef48..ac693222ca 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -730,6 +730,14 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                         ]
                         mid_block_res_sample += mid_sample
 
+        # guess mode handling from diffusers controlnet pipeline:
+        # if guess_mode and do_classifier_free_guidance:
+        #     # Inferred ControlNet only for the conditional batch.
+        #     # To apply the output of ControlNet to both the unconditional and conditional batches,
+        #     # add 0 to the unconditional batch to keep it unchanged.
+        #     down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples]
+        #     mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample])
+
         # predict the noise residual
         noise_pred = self.invokeai_diffuser.do_diffusion_step(
             x=unet_latent_input,