Merge pull request #8948 from hitomi/master

Fix --realesrgan-models-path and --ldsr-models-path not working

2 files changed, 25 insertions, 9 deletions

diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py
index b8cff29b..da19cff1 100644
--- a/extensions-builtin/LDSR/scripts/ldsr_model.py
+++ b/extensions-builtin/LDSR/scripts/ldsr_model.py
@@ -25,22 +25,28 @@ class UpscalerLDSR(Upscaler):
         yaml_path = os.path.join(self.model_path, "project.yaml")
         old_model_path = os.path.join(self.model_path, "model.pth")
         new_model_path = os.path.join(self.model_path, "model.ckpt")
-        safetensors_model_path = os.path.join(self.model_path, "model.safetensors")
+
+        local_model_paths = self.find_models(ext_filter=[".ckpt", ".safetensors"])
+        local_ckpt_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.ckpt")]), None)
+        local_safetensors_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.safetensors")]), None)
+        local_yaml_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("project.yaml")]), None)
+
         if os.path.exists(yaml_path):
             statinfo = os.stat(yaml_path)
             if statinfo.st_size >= 10485760:
                 print("Removing invalid LDSR YAML file.")
                 os.remove(yaml_path)
+
         if os.path.exists(old_model_path):
             print("Renaming model from model.pth to model.ckpt")
             os.rename(old_model_path, new_model_path)
-        if os.path.exists(safetensors_model_path):
-            model = safetensors_model_path
+
+        if local_safetensors_path is not None and os.path.exists(local_safetensors_path):
+            model = local_safetensors_path
         else:
-            model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
-                                       file_name="model.ckpt", progress=True)
-        yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path,
-                                  file_name="project.yaml", progress=True)
+            model = local_ckpt_path if local_ckpt_path is not None else load_file_from_url(url=self.model_url, model_dir=self.model_path, file_name="model.ckpt", progress=True)
+
+        yaml = local_yaml_path if local_yaml_path is not None else load_file_from_url(url=self.yaml_url, model_dir=self.model_path, file_name="project.yaml", progress=True)
 
         try:
             return LDSR(model, yaml)
diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py
index aad4a629..d6079433 100644
--- a/modules/realesrgan_model.py
+++ b/modules/realesrgan_model.py
@@ -9,7 +9,7 @@ from realesrgan import RealESRGANer
 

 from modules.upscaler import Upscaler, UpscalerData

 from modules.shared import cmd_opts, opts

-

+from modules import modelloader

 

 class UpscalerRealESRGAN(Upscaler):

     def __init__(self, path):

@@ -23,7 +23,15 @@ class UpscalerRealESRGAN(Upscaler):
             self.enable = True

             self.scalers = []

             scalers = self.load_models(path)

+

+            local_model_paths = self.find_models(ext_filter=[".pth"])

             for scaler in scalers:

+                if scaler.local_data_path.startswith("http"):

+                    filename = modelloader.friendly_name(scaler.local_data_path)

+                    local = next(iter([local_model for local_model in local_model_paths if local_model.endswith(filename + '.pth')]), None)

+                    if local:

+                        scaler.local_data_path = local

+

                 if scaler.name in opts.realesrgan_enabled_models:

                     self.scalers.append(scaler)

 

@@ -64,7 +72,9 @@ class UpscalerRealESRGAN(Upscaler):
                 print(f"Unable to find model info: {path}")

                 return None

 

-            info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_path, progress=True)

+            if info.local_data_path.startswith("http"):

+                info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_path, progress=True)

+

             return info

         except Exception as e:

             print(f"Error making Real-ESRGAN models list: {e}", file=sys.stderr)