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import os |
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from PIL import Image |
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from modules import shared, images, devices, scripts, scripts_postprocessing, ui_common, generation_parameters_copypaste |
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from modules.shared import opts |
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def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output: bool = True): |
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devices.torch_gc() |
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shared.state.begin(job="extras") |
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outputs = [] |
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def get_images(extras_mode, image, image_folder, input_dir): |
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if extras_mode == 1: |
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for img in image_folder: |
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if isinstance(img, Image.Image): |
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image = img |
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fn = '' |
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else: |
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image = Image.open(os.path.abspath(img.name)) |
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fn = os.path.splitext(img.orig_name)[0] |
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yield image, fn |
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elif extras_mode == 2: |
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assert not shared.cmd_opts.hide_ui_dir_config, '--hide-ui-dir-config option must be disabled' |
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assert input_dir, 'input directory not selected' |
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image_list = shared.listfiles(input_dir) |
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for filename in image_list: |
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yield filename, filename |
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else: |
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assert image, 'image not selected' |
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yield image, None |
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if extras_mode == 2 and output_dir != '': |
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outpath = output_dir |
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else: |
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outpath = opts.outdir_samples or opts.outdir_extras_samples |
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infotext = '' |
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data_to_process = list(get_images(extras_mode, image, image_folder, input_dir)) |
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shared.state.job_count = len(data_to_process) |
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for image_placeholder, name in data_to_process: |
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image_data: Image.Image |
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shared.state.nextjob() |
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shared.state.textinfo = name |
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shared.state.skipped = False |
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if shared.state.interrupted: |
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break |
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if isinstance(image_placeholder, str): |
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try: |
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image_data = Image.open(image_placeholder) |
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except Exception: |
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continue |
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else: |
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image_data = image_placeholder |
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shared.state.assign_current_image(image_data) |
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parameters, existing_pnginfo = images.read_info_from_image(image_data) |
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if parameters: |
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existing_pnginfo["parameters"] = parameters |
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initial_pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGB")) |
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scripts.scripts_postproc.run(initial_pp, args) |
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if shared.state.skipped: |
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continue |
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used_suffixes = {} |
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for pp in [initial_pp, *initial_pp.extra_images]: |
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suffix = pp.get_suffix(used_suffixes) |
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if opts.use_original_name_batch and name is not None: |
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basename = os.path.splitext(os.path.basename(name))[0] |
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forced_filename = basename + suffix |
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else: |
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basename = '' |
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forced_filename = None |
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infotext = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in pp.info.items() if v is not None]) |
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if opts.enable_pnginfo: |
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pp.image.info = existing_pnginfo |
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pp.image.info["postprocessing"] = infotext |
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if save_output: |
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fullfn, _ = images.save_image(pp.image, path=outpath, basename=basename, extension=opts.samples_format, info=infotext, short_filename=True, no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo, forced_filename=forced_filename, suffix=suffix) |
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if pp.caption: |
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caption_filename = os.path.splitext(fullfn)[0] + ".txt" |
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if os.path.isfile(caption_filename): |
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with open(caption_filename, encoding="utf8") as file: |
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existing_caption = file.read().strip() |
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else: |
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existing_caption = "" |
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action = shared.opts.postprocessing_existing_caption_action |
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if action == 'Prepend' and existing_caption: |
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caption = f"{existing_caption} {pp.caption}" |
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elif action == 'Append' and existing_caption: |
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caption = f"{pp.caption} {existing_caption}" |
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elif action == 'Keep' and existing_caption: |
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caption = existing_caption |
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else: |
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caption = pp.caption |
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caption = caption.strip() |
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if caption: |
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with open(caption_filename, "w", encoding="utf8") as file: |
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file.write(caption) |
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if extras_mode != 2 or show_extras_results: |
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outputs.append(pp.image) |
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image_data.close() |
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devices.torch_gc() |
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shared.state.end() |
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return outputs, ui_common.plaintext_to_html(infotext), '' |
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def run_postprocessing_webui(id_task, *args, **kwargs): |
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return run_postprocessing(*args, **kwargs) |
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def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool, save_output: bool = True): |
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"""old handler for API""" |
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args = scripts.scripts_postproc.create_args_for_run({ |
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"Upscale": { |
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"upscale_mode": resize_mode, |
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"upscale_by": upscaling_resize, |
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"upscale_to_width": upscaling_resize_w, |
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"upscale_to_height": upscaling_resize_h, |
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"upscale_crop": upscaling_crop, |
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"upscaler_1_name": extras_upscaler_1, |
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"upscaler_2_name": extras_upscaler_2, |
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"upscaler_2_visibility": extras_upscaler_2_visibility, |
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}, |
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"GFPGAN": { |
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"enable": True, |
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"gfpgan_visibility": gfpgan_visibility, |
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}, |
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"CodeFormer": { |
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"enable": True, |
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"codeformer_visibility": codeformer_visibility, |
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"codeformer_weight": codeformer_weight, |
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}, |
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}) |
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return run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output=save_output) |
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