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Codeformer face restoration not working: AttributeError: module 'modules.shared' has no attribute 'device_codeformer' #348

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AUTOMATIC 2022-09-12 23:24:54 +03:00
parent c249bbb4d4
commit 0de109c210
1 changed files with 3 additions and 3 deletions
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6
modules/codeformer_model.py
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@ -56,13 +56,13 @@ def setup_codeformer():
self.net.to(shared.device) self.net.to(shared.device)
return self.net, self.face_helper return self.net, self.face_helper
net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(shared.device_codeformer) net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(devices.device_codeformer)
ckpt_path = load_file_from_url(url=pretrain_model_url, model_dir=os.path.join(path, 'weights/CodeFormer'), progress=True) ckpt_path = load_file_from_url(url=pretrain_model_url, model_dir=os.path.join(path, 'weights/CodeFormer'), progress=True)
checkpoint = torch.load(ckpt_path)['params_ema'] checkpoint = torch.load(ckpt_path)['params_ema']
net.load_state_dict(checkpoint) net.load_state_dict(checkpoint)
net.eval() net.eval()
face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=shared.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 self.net = net
self.face_helper = face_helper self.face_helper = face_helper
@ -84,7 +84,7 @@ def setup_codeformer():
for idx, cropped_face in enumerate(self.face_helper.cropped_faces): for idx, cropped_face in enumerate(self.face_helper.cropped_faces):
cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True) cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True)
normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True) normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True)
cropped_face_t = cropped_face_t.unsqueeze(0).to(shared.device_codeformer) cropped_face_t = cropped_face_t.unsqueeze(0).to(devices.device_codeformer)
try: try:
with torch.no_grad(): with torch.no_grad():