stable-diffusion-webui/modules/postprocessing.py

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import os
from PIL import Image
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from modules import shared, images, devices, scripts, scripts_postprocessing, ui_common, generation_parameters_copypaste
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):
devices.torch_gc()
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shared.state.begin(job="extras")
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outputs = []
def get_images(extras_mode, image, image_folder, input_dir):
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]
yield image, 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
yield image, filename
else:
assert image, 'image not selected'
yield image, None
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if extras_mode == 2 and output_dir != '':
outpath = output_dir
else:
outpath = opts.outdir_samples or opts.outdir_extras_samples
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infotext = ''
for image_data, name in get_images(extras_mode, image, image_folder, input_dir):
image_data: Image.Image
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shared.state.textinfo = name
parameters, existing_pnginfo = images.read_info_from_image(image_data)
if parameters:
existing_pnginfo["parameters"] = parameters
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pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGB"))
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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 = ''
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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:
pp.image.info = existing_pnginfo
pp.image.info["postprocessing"] = infotext
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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)
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if extras_mode != 2 or show_extras_results:
outputs.append(pp.image)
image_data.close()
devices.torch_gc()
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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)