110 lines
4.1 KiB
Python
110 lines
4.1 KiB
Python
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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image_data = []
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image_names = []
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outputs = []
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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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image_data.append(image)
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image_names.append(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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try:
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image = Image.open(filename)
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except Exception:
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continue
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image_data.append(image)
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image_names.append(filename)
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else:
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assert image, 'image not selected'
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image_data.append(image)
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image_names.append(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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for image, name in zip(image_data, image_names):
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shared.state.textinfo = name
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parameters, existing_pnginfo = images.read_info_from_image(image)
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if parameters:
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existing_pnginfo["parameters"] = parameters
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pp = scripts_postprocessing.PostprocessedImage(image.convert("RGB"))
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scripts.scripts_postproc.run(pp, args)
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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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else:
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basename = ''
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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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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)
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if extras_mode != 2 or show_extras_results:
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outputs.append(pp.image)
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devices.torch_gc()
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return outputs, ui_common.plaintext_to_html(infotext), ''
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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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"gfpgan_visibility": gfpgan_visibility,
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},
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"CodeFormer": {
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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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