| 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: | |
| image = Image.open(img) | |
| image_data.append(image) | |
| image_names.append(os.path.splitext(img.orig_name)[0]) | |
| 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) | |