Fix up `if "http" in ...:` to be more sensible startswiths

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

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,

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,

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)

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)