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- 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(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(os.path.abspath(img.name))
- 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
- parameters, existing_pnginfo = images.read_info_from_image(image)
- if parameters:
- existing_pnginfo["parameters"] = parameters
- 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)
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