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Add --use-cpu command line option

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Remove MPS detection to use CPU for GFPGAN / CodeFormer and add a --use-cpu command line option.
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brkirch
2022-10-04 04:24:35 -04:00
parent b88e4ea7d6
commit eeab7aedf5
4 changed files with 17 additions and 14 deletions
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9
modules/esrgan_model.py
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@@ -6,8 +6,7 @@ from PIL import Image
from basicsr.utils.download_util import load_file_from_url
import modules.esrgam_model_arch as arch
from modules import shared, modelloader, images
from modules.devices import has_mps
from modules import shared, modelloader, images, devices
from modules.paths import models_path
from modules.upscaler import Upscaler, UpscalerData
from modules.shared import opts
@@ -97,7 +96,7 @@ class UpscalerESRGAN(Upscaler):
model = self.load_model(selected_model)
if model is None:
return img
model.to(shared.device)
model.to(devices.device_esrgan)
img = esrgan_upscale(model, img)
return img
@@ -112,7 +111,7 @@ class UpscalerESRGAN(Upscaler):
print("Unable to load %s from %s" % (self.model_path, filename))
return None
pretrained_net = torch.load(filename, map_location='cpu' if has_mps else None)
pretrained_net = torch.load(filename, map_location='cpu' if shared.device.type == 'mps' else None)
crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
pretrained_net = fix_model_layers(crt_model, pretrained_net)
@@ -127,7 +126,7 @@ def upscale_without_tiling(model, img):
img = img[:, :, ::-1]
img = np.moveaxis(img, 2, 0) / 255
img = torch.from_numpy(img).float()
img = img.unsqueeze(0).to(shared.device)
img = img.unsqueeze(0).to(devices.device_esrgan)
with torch.no_grad():
output = model(img)
output = output.squeeze().float().cpu().clamp_(0, 1).numpy()