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-rw-r--r--extensions-builtin/ScuNET/scripts/scunet_model.py4
-rw-r--r--extensions-builtin/SwinIR/scripts/swinir_model.py4
-rw-r--r--modules/esrgan_model.py4
-rw-r--r--modules/gfpgan_model.py2
-rw-r--r--modules/modelloader.py2
5 files changed, 8 insertions, 8 deletions
diff --git a/extensions-builtin/ScuNET/scripts/scunet_model.py b/extensions-builtin/ScuNET/scripts/scunet_model.py
index 2785b551..64f50829 100644
--- a/extensions-builtin/ScuNET/scripts/scunet_model.py
+++ b/extensions-builtin/ScuNET/scripts/scunet_model.py
@@ -27,7 +27,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
scalers = []
add_model2 = True
for file in model_paths:
- if "http" in file:
+ if file.startswith("http"):
name = self.model_name
else:
name = modelloader.friendly_name(file)
@@ -118,7 +118,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
def load_model(self, path: str):
device = devices.get_device_for('scunet')
- if "http" in path:
+ if path.startswith("http"):
filename = load_file_from_url(self.model_url, model_dir=self.model_download_path, file_name=f"{self.name}.pth")
else:
filename = path
diff --git a/extensions-builtin/SwinIR/scripts/swinir_model.py b/extensions-builtin/SwinIR/scripts/swinir_model.py
index a5b0e2eb..4551761d 100644
--- a/extensions-builtin/SwinIR/scripts/swinir_model.py
+++ b/extensions-builtin/SwinIR/scripts/swinir_model.py
@@ -27,7 +27,7 @@ class UpscalerSwinIR(Upscaler):
scalers = []
model_files = self.find_models(ext_filter=[".pt", ".pth"])
for model in model_files:
- if "http" in model:
+ if model.startswith("http"):
name = self.model_name
else:
name = modelloader.friendly_name(model)
@@ -48,7 +48,7 @@ class UpscalerSwinIR(Upscaler):
return img
def load_model(self, path, scale=4):
- if "http" in path:
+ if path.startswith("http"):
filename = modelloader.load_file_from_url(
url=path,
model_dir=self.model_download_path,
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index f1a98c07..0666a2c2 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -133,7 +133,7 @@ class UpscalerESRGAN(Upscaler):
scaler_data = UpscalerData(self.model_name, self.model_url, self, 4)
scalers.append(scaler_data)
for file in model_paths:
- if "http" in file:
+ if file.startswith("http"):
name = self.model_name
else:
name = modelloader.friendly_name(file)
@@ -150,7 +150,7 @@ class UpscalerESRGAN(Upscaler):
return img
def load_model(self, path: str):
- if "http" in path:
+ if path.startswith("http"):
filename = modelloader.load_file_from_url(
url=self.model_url,
model_dir=self.model_download_path,
diff --git a/modules/gfpgan_model.py b/modules/gfpgan_model.py
index e239a09d..804fb53d 100644
--- a/modules/gfpgan_model.py
+++ b/modules/gfpgan_model.py
@@ -25,7 +25,7 @@ def gfpgann():
return None
models = modelloader.load_models(model_path, model_url, user_path, ext_filter="GFPGAN")
- if len(models) == 1 and "http" in models[0]:
+ 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)
diff --git a/modules/modelloader.py b/modules/modelloader.py
index a69c8a4f..b2f0bb71 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -82,7 +82,7 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
def friendly_name(file: str):
- if "http" in file:
+ if file.startswith("http"):
file = urlparse(file).path
file = os.path.basename(file)