Add option to save before color correction. Add suffix param when saving files, used for special saves without color correction and face restoration.
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3582befdcd
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25eb1e3d90
3 changed files with 6 additions and 3 deletions
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@ -311,7 +311,7 @@ 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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@ -322,7 +322,7 @@ 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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@ -357,7 +357,7 @@ 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 +366,8 @@ 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.fromarray(x_sample), 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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@ -139,6 +139,7 @@ class Options:
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"enable_pnginfo": OptionInfo(True, "Save text information about generation parameters as chunks to png files"),
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"add_model_hash_to_info": OptionInfo(False, "Add model hash to generation information"),
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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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"font": OptionInfo("", "Font for image grids that have text"),
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