From e2d7b514e03ba121ff16eae7aae6d29b8c084598 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Mar 2024 21:15:25 +1100
Subject: [PATCH] tidy: correct attributions for controlnet processors

---
 invokeai/backend/image_util/canny.py | 2 +-
 invokeai/backend/image_util/hed.py   | 2 +-
 invokeai/backend/image_util/util.py  | 6 +++---
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/invokeai/backend/image_util/canny.py b/invokeai/backend/image_util/canny.py
index e0067bd7fd..87219a9356 100644
--- a/invokeai/backend/image_util/canny.py
+++ b/invokeai/backend/image_util/canny.py
@@ -14,7 +14,7 @@ def get_canny_edges(
 ) -> Image.Image:
     """Returns the edges of an image using the Canny edge detection algorithm.
 
-    This function is adapted from https://github.com/lllyasviel/ControlNet.
+    Adapted from https://github.com/huggingface/controlnet_aux (Apache-2.0 license).
 
     Args:
         image: The input image.
diff --git a/invokeai/backend/image_util/hed.py b/invokeai/backend/image_util/hed.py
index 36b07d43ed..38ad424b48 100644
--- a/invokeai/backend/image_util/hed.py
+++ b/invokeai/backend/image_util/hed.py
@@ -1,4 +1,4 @@
-"""Adapted from https://github.com/lllyasviel/ControlNet (Apache-2.0 license)."""
+"""Adapted from https://github.com/huggingface/controlnet_aux (Apache-2.0 license)."""
 
 import cv2
 import numpy as np
diff --git a/invokeai/backend/image_util/util.py b/invokeai/backend/image_util/util.py
index 067adfa15e..6a403efe55 100644
--- a/invokeai/backend/image_util/util.py
+++ b/invokeai/backend/image_util/util.py
@@ -100,7 +100,7 @@ def normalize_image_channel_count(image: np.ndarray) -> np.ndarray:
     If the image has 1 channel, a third empty channel will be added.
     If the image has 4 channels, the alpha channel will be used to blend the image with a white background.
 
-    This function is adapted from https://github.com/lllyasviel/ControlNet.
+    Adapted from https://github.com/huggingface/controlnet_aux (Apache-2.0 license).
 
     Args:
         image: The input image.
@@ -131,7 +131,7 @@ def normalize_image_channel_count(image: np.ndarray) -> np.ndarray:
 def fit_image_to_resolution(input_image: np.ndarray, resolution: int) -> np.ndarray:
     """Resizes an image, fitting it to the given resolution.
 
-    This function is adapted from https://github.com/lllyasviel/ControlNet.
+    Adapted from https://github.com/huggingface/controlnet_aux (Apache-2.0 license).
 
     Args:
         input_image: The input image.
@@ -190,7 +190,7 @@ def safe_step(x: np.ndarray, step: int = 2) -> np.ndarray:
 
     I don't fully understand the purpose of this function, but it appears to be normalizing/quantizing the array.
 
-    This function is adapted from https://github.com/lllyasviel/ControlNet.
+    Adapted from https://github.com/huggingface/controlnet_aux (Apache-2.0 license).
 
     Args:
         x: The input array.