From 7a13f74220dcfcf6d8a6e7c1984f2c718cd9eda8 Mon Sep 17 00:00:00 2001
From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Date: Wed, 25 Jun 2025 01:52:34 -0700
Subject: [PATCH] unet -> diffusion model (#8659)

---
 comfy/sd.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/comfy/sd.py b/comfy/sd.py
index cd13ab5f..c32cf6b6 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -1160,7 +1160,7 @@ def load_diffusion_model_state_dict(sd, model_options={}):
     model.load_model_weights(new_sd, "")
     left_over = sd.keys()
     if len(left_over) > 0:
-        logging.info("left over keys in unet: {}".format(left_over))
+        logging.info("left over keys in diffusion model: {}".format(left_over))
     return comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=offload_device)
 
 
@@ -1168,7 +1168,7 @@ def load_diffusion_model(unet_path, model_options={}):
     sd = comfy.utils.load_torch_file(unet_path)
     model = load_diffusion_model_state_dict(sd, model_options=model_options)
     if model is None:
-        logging.error("ERROR UNSUPPORTED UNET {}".format(unet_path))
+        logging.error("ERROR UNSUPPORTED DIFFUSION MODEL {}".format(unet_path))
         raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
     return model