Commit 0afbc0c2 authored by Aarni Koskela's avatar Aarni Koskela
Browse files

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

parent 89352a2f
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+2 −2
Original line number Diff line number Diff line
@@ -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
+2 −2
Original line number Diff line number Diff line
@@ -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,
+2 −2
Original line number Diff line number Diff line
@@ -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,
+1 −1
Original line number Diff line number Diff line
@@ -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)
+1 −1
Original line number Diff line number Diff line
@@ -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)