From c84e333622883be7f1c2efa08259d36d27cadec7 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Tue, 13 Sep 2022 12:51:57 +0300
Subject: color correction option for all img2img modes #363

---
 modules/img2img.py | 22 ----------------------
 1 file changed, 22 deletions(-)

(limited to 'modules/img2img.py')

diff --git a/modules/img2img.py b/modules/img2img.py
index e3109121..70c99e33 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -1,5 +1,4 @@
 import math
-import cv2
 import numpy as np
 from PIL import Image, ImageOps, ImageChops
 
@@ -76,18 +75,7 @@ def img2img(prompt: str, negative_prompt: str, prompt_style: str, init_img, init
 
         state.job_count = n_iter
 
-        do_color_correction = False
-        try:
-            from skimage import exposure
-            do_color_correction = True
-        except:
-            print("Install scikit-image to perform color correction on loopback")
-
-
         for i in range(n_iter):
-            if do_color_correction and i == 0:
-                correction_target = cv2.cvtColor(np.asarray(init_img.copy()), cv2.COLOR_RGB2LAB)
-
             p.n_iter = 1
             p.batch_size = 1
             p.do_not_save_grid = True
@@ -101,16 +89,6 @@ def img2img(prompt: str, negative_prompt: str, prompt_style: str, init_img, init
             
             init_img = processed.images[0]
 
-            if do_color_correction and correction_target is not None:
-                init_img = Image.fromarray(cv2.cvtColor(exposure.match_histograms(
-                    cv2.cvtColor(
-                        np.asarray(init_img),
-                        cv2.COLOR_RGB2LAB
-                    ),
-                    correction_target,
-                    channel_axis=2
-                ), cv2.COLOR_LAB2RGB).astype("uint8"))
-
             p.init_images = [init_img]
             p.seed = processed.seed + 1
             p.denoising_strength = min(max(p.denoising_strength * denoising_strength_change_factor, 0.1), 1)
-- 
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