mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-21 07:30:02 +08:00
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
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import os
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import sys
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import traceback
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from modules.paths import script_path
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from modules.shared import cmd_opts
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def gfpgan_model_path():
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places = [script_path, '.', os.path.join(cmd_opts.gfpgan_dir, 'experiments/pretrained_models')]
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files = [cmd_opts.gfpgan_model] + [os.path.join(dirname, cmd_opts.gfpgan_model) for dirname in places]
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found = [x for x in files if os.path.exists(x)]
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if len(found) == 0:
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raise Exception("GFPGAN model not found in paths: " + ", ".join(files))
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return found[0]
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loaded_gfpgan_model = None
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def gfpgan():
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global loaded_gfpgan_model
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if loaded_gfpgan_model is None and gfpgan_constructor is not None:
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loaded_gfpgan_model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
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return loaded_gfpgan_model
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def gfpgan_fix_faces(np_image):
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np_image_bgr = np_image[:, :, ::-1]
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cropped_faces, restored_faces, gfpgan_output_bgr = gfpgan().enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)
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np_image = gfpgan_output_bgr[:, :, ::-1]
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return np_image
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have_gfpgan = False
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gfpgan_constructor = None
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def setup_gfpgan():
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try:
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gfpgan_model_path()
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if os.path.exists(cmd_opts.gfpgan_dir):
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sys.path.append(os.path.abspath(cmd_opts.gfpgan_dir))
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from gfpgan import GFPGANer
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global have_gfpgan
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have_gfpgan = True
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global gfpgan_constructor
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gfpgan_constructor = GFPGANer
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except Exception:
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print("Error setting up GFPGAN:", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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