Merge pull request #847 from rewbs/rewbs-optionally-save-before-color-correction
Add option to save before color correction. This helps with some posterisation issues in img2img loopback.
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79e7c39298
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@ -312,7 +312,7 @@ def get_next_sequence_number(path, basename):
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return result + 1
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def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None):
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def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix=""):
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if short_filename or prompt is None or seed is None:
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file_decoration = ""
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elif opts.save_to_dirs:
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@ -323,7 +323,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
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if file_decoration != "":
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file_decoration = "-" + file_decoration.lower()
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file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt)
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file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
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if extension == 'png' and opts.enable_pnginfo and info is not None:
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pnginfo = PngImagePlugin.PngInfo()
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@ -20,6 +20,7 @@ import modules.shared as shared
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import modules.face_restoration
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import modules.images as images
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import modules.styles
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import logging
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# some of those options should not be changed at all because they would break the model, so I removed them from options.
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@ -28,11 +29,13 @@ opt_f = 8
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def setup_color_correction(image):
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logging.info("Calibrating color correction.")
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correction_target = cv2.cvtColor(np.asarray(image.copy()), cv2.COLOR_RGB2LAB)
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return correction_target
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def apply_color_correction(correction, image):
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logging.info("Applying color correction.")
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image = Image.fromarray(cv2.cvtColor(exposure.match_histograms(
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cv2.cvtColor(
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np.asarray(image),
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@ -357,7 +360,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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if p.restore_faces:
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if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration:
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images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)
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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-face-restoration")
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devices.torch_gc()
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@ -366,6 +369,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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image = Image.fromarray(x_sample)
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if p.color_corrections is not None and i < len(p.color_corrections):
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if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
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images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
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image = apply_color_correction(p.color_corrections[i], image)
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if p.overlay_images is not None and i < len(p.overlay_images):
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@ -187,6 +187,7 @@ options_templates.update(options_section(('system', "System"), {
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options_templates.update(options_section(('sd', "Stable Diffusion"), {
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"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}),
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"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
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"save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
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"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
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"enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply."),
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"enable_emphasis": OptionInfo(True, "Use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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