import os from PIL import Image from modules import shared, images, devices, scripts, scripts_postprocessing, ui_common, generation_parameters_copypaste from modules.shared import opts def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output: bool = True): devices.torch_gc() shared.state.begin() shared.state.job = 'extras' image_data = [] image_names = [] outputs = [] if extras_mode == 1: for img in image_folder: if isinstance(img, Image.Image): image = img fn = '' else: image = Image.open(img) fn = os.path.splitext(img.orig_name)[0] image_data.append(image) image_names.append(fn) elif extras_mode == 2: assert not shared.cmd_opts.hide_ui_dir_config, '--hide-ui-dir-config option must be disabled' assert input_dir, 'input directory not selected' image_list = shared.listfiles(input_dir) for filename in image_list: try: image = Image.open(filename) except Exception: continue image_data.append(image) image_names.append(filename) else: assert image, 'image not selected' image_data.append(image) image_names.append(None) if extras_mode == 2 and output_dir != '': outpath = output_dir else: outpath = opts.outdir_samples or opts.outdir_extras_samples infotext = '' for image, name in zip(image_data, image_names): shared.state.textinfo = name existing_pnginfo = image.info or {} pp = scripts_postprocessing.PostprocessedImage(image.convert("RGB")) scripts.scripts_postproc.run(pp, args) if opts.use_original_name_batch and name is not None: basename = os.path.splitext(os.path.basename(name))[0] else: basename = '' 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]) if opts.enable_pnginfo: pp.image.info = existing_pnginfo pp.image.info["postprocessing"] = infotext if save_output: images.save_image(pp.image, path=outpath, basename=basename, seed=None, prompt=None, extension=opts.samples_format, info=infotext, short_filename=True, no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo, forced_filename=None) if extras_mode != 2 or show_extras_results: outputs.append(pp.image) devices.torch_gc() return outputs, ui_common.plaintext_to_html(infotext), '' 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): """old handler for API""" args = scripts.scripts_postproc.create_args_for_run({ "Upscale": { "upscale_mode": resize_mode, "upscale_by": upscaling_resize, "upscale_to_width": upscaling_resize_w, "upscale_to_height": upscaling_resize_h, "upscale_crop": upscaling_crop, "upscaler_1_name": extras_upscaler_1, "upscaler_2_name": extras_upscaler_2, "upscaler_2_visibility": extras_upscaler_2_visibility, }, "GFPGAN": { "gfpgan_visibility": gfpgan_visibility, }, "CodeFormer": { "codeformer_visibility": codeformer_visibility, "codeformer_weight": codeformer_weight, }, }) return run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output=save_output)