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Remove unnecessary duplication

This commit is contained in:
Robin Fernandes 2022-09-23 00:57:42 +00:00
parent 03738668c0
commit d26d89377b
1 changed files with 4 additions and 1 deletions
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5
modules/processing.py
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@ -20,6 +20,7 @@ import modules.shared as shared
import modules.face_restoration import modules.face_restoration
import modules.images as images import modules.images as images
import modules.styles import modules.styles
import logging
# some of those options should not be changed at all because they would break the model, so I removed them from options. # some of those options should not be changed at all because they would break the model, so I removed them from options.
@ -28,11 +29,13 @@ opt_f = 8
def setup_color_correction(image): def setup_color_correction(image):
logging.info("Calibrating color correction.")
correction_target = cv2.cvtColor(np.asarray(image.copy()), cv2.COLOR_RGB2LAB) correction_target = cv2.cvtColor(np.asarray(image.copy()), cv2.COLOR_RGB2LAB)
return correction_target return correction_target
def apply_color_correction(correction, image): def apply_color_correction(correction, image):
logging.info("Applying color correction.")
image = Image.fromarray(cv2.cvtColor(exposure.match_histograms( image = Image.fromarray(cv2.cvtColor(exposure.match_histograms(
cv2.cvtColor( cv2.cvtColor(
np.asarray(image), np.asarray(image),
@ -367,7 +370,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if p.color_corrections is not None and i < len(p.color_corrections): if p.color_corrections is not None and i < len(p.color_corrections):
if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction: if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction") images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
image = apply_color_correction(p.color_corrections[i], image) image = apply_color_correction(p.color_corrections[i], image)
if p.overlay_images is not None and i < len(p.overlay_images): if p.overlay_images is not None and i < len(p.overlay_images):