diff options
Diffstat (limited to 'modules/gfpgan_model.py')
| -rw-r--r-- | modules/gfpgan_model.py | 25 |
1 files changed, 20 insertions, 5 deletions
diff --git a/modules/gfpgan_model.py b/modules/gfpgan_model.py index 8e0f13bd..01d668ec 100644 --- a/modules/gfpgan_model.py +++ b/modules/gfpgan_model.py @@ -9,6 +9,7 @@ from modules import paths, shared, devices, modelloader, errors model_dir = "GFPGAN"
user_path = None
model_path = os.path.join(paths.models_path, model_dir)
+model_file_path = None
model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
have_gfpgan = False
loaded_gfpgan_model = None
@@ -17,6 +18,7 @@ loaded_gfpgan_model = None def gfpgann():
global loaded_gfpgan_model
global model_path
+ global model_file_path
if loaded_gfpgan_model is not None:
loaded_gfpgan_model.gfpgan.to(devices.device_gfpgan)
return loaded_gfpgan_model
@@ -24,17 +26,24 @@ def gfpgann(): if gfpgan_constructor is None:
return None
- models = modelloader.load_models(model_path, model_url, user_path, ext_filter="GFPGAN")
+ models = modelloader.load_models(model_path, model_url, user_path, ext_filter=['.pth'])
+
if len(models) == 1 and models[0].startswith("http"):
model_file = models[0]
elif len(models) != 0:
- latest_file = max(models, key=os.path.getctime)
+ gfp_models = []
+ for item in models:
+ if 'GFPGAN' in os.path.basename(item):
+ gfp_models.append(item)
+ latest_file = max(gfp_models, key=os.path.getctime)
model_file = latest_file
else:
print("Unable to load gfpgan model!")
return None
+
if hasattr(facexlib.detection.retinaface, 'device'):
facexlib.detection.retinaface.device = devices.device_gfpgan
+ model_file_path = model_file
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
@@ -77,19 +86,25 @@ def setup_model(dirname): global user_path
global have_gfpgan
global gfpgan_constructor
+ global model_file_path
+
+ facexlib_path = model_path
+
+ if dirname is not None:
+ facexlib_path = dirname
load_file_from_url_orig = gfpgan.utils.load_file_from_url
facex_load_file_from_url_orig = facexlib.detection.load_file_from_url
facex_load_file_from_url_orig2 = facexlib.parsing.load_file_from_url
def my_load_file_from_url(**kwargs):
- return load_file_from_url_orig(**dict(kwargs, model_dir=model_path))
+ return load_file_from_url_orig(**dict(kwargs, model_dir=model_file_path))
def facex_load_file_from_url(**kwargs):
- return facex_load_file_from_url_orig(**dict(kwargs, save_dir=model_path, model_dir=None))
+ return facex_load_file_from_url_orig(**dict(kwargs, save_dir=facexlib_path, model_dir=None))
def facex_load_file_from_url2(**kwargs):
- return facex_load_file_from_url_orig2(**dict(kwargs, save_dir=model_path, model_dir=None))
+ return facex_load_file_from_url_orig2(**dict(kwargs, save_dir=facexlib_path, model_dir=None))
gfpgan.utils.load_file_from_url = my_load_file_from_url
facexlib.detection.load_file_from_url = facex_load_file_from_url
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