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When device is MPS, use CPU for GFPGAN instead 

GFPGAN will not work if the device is MPS, so default to CPU instead.
This commit is contained in:
brkirch 2022-09-30 23:53:25 -04:00
parent 84e97a98c5
commit bdaa36c844
2 changed files with 4 additions and 4 deletions
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2
modules/devices.py
View File

@ -34,7 +34,7 @@ errors.run(enable_tf32, "Enabling TF32")
device = get_optimal_device()
device_codeformer = cpu if has_mps else device
device_gfpgan = device_codeformer = cpu if device.type == 'mps' else device
def randn(seed, shape):

6
modules/gfpgan_model.py
View File

@ -21,7 +21,7 @@ def gfpgann():
global loaded_gfpgan_model
global model_path
if loaded_gfpgan_model is not None:
loaded_gfpgan_model.gfpgan.to(shared.device)
loaded_gfpgan_model.gfpgan.to(devices.device_gfpgan)
return loaded_gfpgan_model
if gfpgan_constructor is None:
@ -36,8 +36,8 @@ 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)
model.gfpgan.to(shared.device)
model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None, device=devices.device_gfpgan)
model.gfpgan.to(devices.device_gfpgan)
loaded_gfpgan_model = model
return model