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Merge pull request #4461 from brkirch/face-restoration-device-fix

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Fix setting device for GFPGAN and CodeFormer
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AUTOMATIC1111 2022-11-27 13:48:25 +03:00 committed by GitHub
commit 151e2cc627
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2 changed files with 6 additions and 1 deletions
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3
modules/codeformer_model.py
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@ -36,6 +36,7 @@ def setup_model(dirname):
from basicsr.utils.download_util import load_file_from_url
from basicsr.utils import imwrite, img2tensor, tensor2img
from facelib.utils.face_restoration_helper import FaceRestoreHelper
from facelib.detection.retinaface import retinaface
from modules.shared import cmd_opts
net_class = CodeFormer
@ -65,6 +66,8 @@ def setup_model(dirname):
net.load_state_dict(checkpoint)
net.eval()
if hasattr(retinaface, 'device'):
retinaface.device = devices.device_codeformer
face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=devices.device_codeformer)
self.net = net

4
modules/gfpgan_model.py
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@ -36,7 +36,9 @@ def gfpgann():
else:
print("Unable to load gfpgan model!")
return None
model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
if hasattr(facexlib.detection.retinaface, 'device'):
facexlib.detection.retinaface.device = devices.device_gfpgan
model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None, device=devices.device_gfpgan)
loaded_gfpgan_model = model
return model