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send all three of GFPGAN's and codeformer's models to CPU memory instead of just one for #1283

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AUTOMATIC
2022-10-04 12:32:22 +03:00
parent 556c36b960
commit 6c6ae28bf5
4 changed files with 41 additions and 11 deletions
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14
modules/gfpgan_model.py
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@@ -37,22 +37,32 @@ def gfpgann():
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)
model.gfpgan.to(shared.device)
loaded_gfpgan_model = model
return model
def send_model_to(model, device):
model.gfpgan.to(device)
model.face_helper.face_det.to(device)
model.face_helper.face_parse.to(device)
def gfpgan_fix_faces(np_image):
model = gfpgann()
if model is None:
return np_image
send_model_to(model, devices.device)
np_image_bgr = np_image[:, :, ::-1]
cropped_faces, restored_faces, gfpgan_output_bgr = model.enhance(np_image_bgr, has_aligned=False, only_center_face=False, paste_back=True)
np_image = gfpgan_output_bgr[:, :, ::-1]
model.face_helper.clean_all()
if shared.opts.face_restoration_unload:
model.gfpgan.to(devices.cpu)
send_model_to(model, devices.cpu)
return np_image