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Bug Fix Patch
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.gitignore
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@ -1,7 +1,7 @@
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# ignore default image save location and model symbolic link
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outputs/
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models/ldm/stable-diffusion-v1/model.ckpt
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ldm/restoration/codeformer/weights
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ldm/dream/restoration/codeformer/weights
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# ignore the Anaconda/Miniconda installer used while building Docker image
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anaconda.sh
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@ -573,14 +573,14 @@ class Args(object):
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'-G',
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'--gfpgan_strength',
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type=float,
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help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.',
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help='The strength at which to apply the face restoration to the result.',
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default=0.0,
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)
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postprocessing_group.add_argument(
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'-cf',
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'--codeformer_fidelity',
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type=float,
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help='Takes values between 0 and 1. 0 produces high quality but low accuracy. 1 produces high accuracy but low quality.',
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help='Used along with CodeFormer. Takes values between 0 and 1. 0 produces high quality but low accuracy. 1 produces high accuracy but low quality.',
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default=0.75
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)
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postprocessing_group.add_argument(
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@ -27,7 +27,7 @@ class Restoration():
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return CodeFormerRestoration()
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# Upscale Models
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def load_ersgan(self):
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def load_esrgan(self):
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from ldm.dream.restoration.realesrgan import ESRGAN
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esrgan = ESRGAN(self.esrgan_bg_tile)
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print('>> ESRGAN Initialized')
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@ -47,14 +47,14 @@ def main():
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# Loading Face Restoration and ESRGAN Modules
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try:
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gfpgan, codeformer, esrgan = None, None, None
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from ldm.dream.restoration import Restoration
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from ldm.dream.restoration.base import Restoration
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restoration = Restoration(opt.gfpgan_dir, opt.gfpgan_model_path, opt.esrgan_bg_tile)
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if opt.restore:
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gfpgan, codeformer = restoration.load_face_restore_models()
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else:
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print('>> Face restoration disabled')
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if opt.esrgan:
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esrgan = restoration.load_ersgan()
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esrgan = restoration.load_esrgan()
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else:
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print('>> Upscaling disabled')
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except (ModuleNotFoundError, ImportError):
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