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-rw-r--r--extensions-builtin/LDSR/scripts/ldsr_model.py7
-rw-r--r--extensions-builtin/ScuNET/scripts/scunet_model.py5
-rw-r--r--extensions-builtin/SwinIR/scripts/swinir_model.py8
3 files changed, 10 insertions, 10 deletions
diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py
index dbd6d331..bf9b6de2 100644
--- a/extensions-builtin/LDSR/scripts/ldsr_model.py
+++ b/extensions-builtin/LDSR/scripts/ldsr_model.py
@@ -1,7 +1,6 @@
import os
-from basicsr.utils.download_util import load_file_from_url
-
+from modules.modelloader import load_file_from_url
from modules.upscaler import Upscaler, UpscalerData
from ldsr_model_arch import LDSR
from modules import shared, script_callbacks, errors
@@ -43,9 +42,9 @@ class UpscalerLDSR(Upscaler):
if local_safetensors_path is not None and os.path.exists(local_safetensors_path):
model = local_safetensors_path
else:
- model = local_ckpt_path if local_ckpt_path is not None else load_file_from_url(url=self.model_url, model_dir=self.model_download_path, file_name="model.ckpt", progress=True)
+ model = local_ckpt_path or load_file_from_url(self.model_url, model_dir=self.model_download_path, file_name="model.ckpt")
- yaml = local_yaml_path if local_yaml_path is not None else load_file_from_url(url=self.yaml_url, model_dir=self.model_download_path, file_name="project.yaml", progress=True)
+ yaml = local_yaml_path or load_file_from_url(self.yaml_url, model_dir=self.model_download_path, file_name="project.yaml")
try:
return LDSR(model, yaml)
diff --git a/extensions-builtin/ScuNET/scripts/scunet_model.py b/extensions-builtin/ScuNET/scripts/scunet_model.py
index 85b4505f..2785b551 100644
--- a/extensions-builtin/ScuNET/scripts/scunet_model.py
+++ b/extensions-builtin/ScuNET/scripts/scunet_model.py
@@ -6,12 +6,11 @@ import numpy as np
import torch
from tqdm import tqdm
-from basicsr.utils.download_util import load_file_from_url
-
import modules.upscaler
from modules import devices, modelloader, script_callbacks, errors
from scunet_model_arch import SCUNet as net
+from modules.modelloader import load_file_from_url
from modules.shared import opts
@@ -120,7 +119,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
def load_model(self, path: str):
device = devices.get_device_for('scunet')
if "http" in path:
- filename = load_file_from_url(url=self.model_url, model_dir=self.model_download_path, file_name="%s.pth" % self.name, progress=True)
+ filename = load_file_from_url(self.model_url, model_dir=self.model_download_path, file_name=f"{self.name}.pth")
else:
filename = path
if not os.path.exists(os.path.join(self.model_path, filename)) or filename is None:
diff --git a/extensions-builtin/SwinIR/scripts/swinir_model.py b/extensions-builtin/SwinIR/scripts/swinir_model.py
index 1c7bf325..a5b0e2eb 100644
--- a/extensions-builtin/SwinIR/scripts/swinir_model.py
+++ b/extensions-builtin/SwinIR/scripts/swinir_model.py
@@ -3,7 +3,6 @@ import os
import numpy as np
import torch
from PIL import Image
-from basicsr.utils.download_util import load_file_from_url
from tqdm import tqdm
from modules import modelloader, devices, script_callbacks, shared
@@ -50,8 +49,11 @@ class UpscalerSwinIR(Upscaler):
def load_model(self, path, scale=4):
if "http" in path:
- dl_name = "%s%s" % (self.model_name.replace(" ", "_"), ".pth")
- filename = load_file_from_url(url=path, model_dir=self.model_download_path, file_name=dl_name, progress=True)
+ filename = modelloader.load_file_from_url(
+ url=path,
+ model_dir=self.model_download_path,
+ file_name=f"{self.model_name.replace(' ', '_')}.pth",
+ )
else:
filename = path
if filename is None or not os.path.exists(filename):