chore: ruff check - fix flake8-comprensions

invokeai/backend/install/invokeai_configure.py

@@ -197,7 +197,7 @@ def download_with_progress_bar(model_url: str, model_dest: str, label: str = "th
 
 def download_conversion_models():
     target_dir = config.models_path / "core/convert"
-    kwargs = dict()  # for future use
+    kwargs = {}  # for future use
     try:
         logger.info("Downloading core tokenizers and text encoders")
 
@@ -252,26 +252,26 @@ def download_conversion_models():
 def download_realesrgan():
     logger.info("Installing ESRGAN Upscaling models...")
     URLs = [
-        dict(
-            url="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
-            dest="core/upscaling/realesrgan/RealESRGAN_x4plus.pth",
-            description="RealESRGAN_x4plus.pth",
-        ),
-        dict(
-            url="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
-            dest="core/upscaling/realesrgan/RealESRGAN_x4plus_anime_6B.pth",
-            description="RealESRGAN_x4plus_anime_6B.pth",
-        ),
-        dict(
-            url="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
-            dest="core/upscaling/realesrgan/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
-            description="ESRGAN_SRx4_DF2KOST_official.pth",
-        ),
-        dict(
-            url="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
-            dest="core/upscaling/realesrgan/RealESRGAN_x2plus.pth",
-            description="RealESRGAN_x2plus.pth",
-        ),
+        {
+            "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
+            "dest": "core/upscaling/realesrgan/RealESRGAN_x4plus.pth",
+            "description": "RealESRGAN_x4plus.pth",
+        },
+        {
+            "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
+            "dest": "core/upscaling/realesrgan/RealESRGAN_x4plus_anime_6B.pth",
+            "description": "RealESRGAN_x4plus_anime_6B.pth",
+        },
+        {
+            "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
+            "dest": "core/upscaling/realesrgan/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
+            "description": "ESRGAN_SRx4_DF2KOST_official.pth",
+        },
+        {
+            "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
+            "dest": "core/upscaling/realesrgan/RealESRGAN_x2plus.pth",
+            "description": "RealESRGAN_x2plus.pth",
+        },
     ]
     for model in URLs:
         download_with_progress_bar(model["url"], config.models_path / model["dest"], model["description"])
@@ -680,7 +680,7 @@ def default_user_selections(program_opts: Namespace) -> InstallSelections:
         if program_opts.default_only
         else [models[x].path or models[x].repo_id for x in installer.recommended_models()]
         if program_opts.yes_to_all
-        else list(),
+        else [],
     )
 
 

invokeai/backend/install/migrate_to_3.py

@@ -182,10 +182,10 @@ class MigrateTo3(object):
         """
 
         dest_directory = self.dest_models
-        kwargs = dict(
-            cache_dir=self.root_directory / "models/hub",
+        kwargs = {
+            "cache_dir": self.root_directory / "models/hub",
             # local_files_only = True
-        )
+        }
         try:
             logger.info("Migrating core tokenizers and text encoders")
             target_dir = dest_directory / "core" / "convert"
@@ -316,11 +316,11 @@ class MigrateTo3(object):
         dest_dir = self.dest_models
 
         cache = self.root_directory / "models/hub"
-        kwargs = dict(
-            cache_dir=cache,
-            safety_checker=None,
+        kwargs = {
+            "cache_dir": cache,
+            "safety_checker": None,
             # local_files_only = True,
-        )
+        }
 
         owner, repo_name = repo_id.split("/")
         model_name = model_name or repo_name

invokeai/backend/install/model_install_backend.py

@@ -120,7 +120,7 @@ class ModelInstall(object):
         be treated uniformly. It also sorts the models alphabetically
         by their name, to improve the display somewhat.
         """
-        model_dict = dict()
+        model_dict = {}
 
         # first populate with the entries in INITIAL_MODELS.yaml
         for key, value in self.datasets.items():
@@ -134,7 +134,7 @@ class ModelInstall(object):
             model_dict[key] = model_info
 
         # supplement with entries in models.yaml
-        installed_models = [x for x in self.mgr.list_models()]
+        installed_models = list(self.mgr.list_models())
 
         for md in installed_models:
             base = md["base_model"]
@@ -184,7 +184,7 @@ class ModelInstall(object):
 
     def recommended_models(self) -> Set[str]:
         starters = self.starter_models(all_models=True)
-        return set([x for x in starters if self.datasets[x].get("recommended", False)])
+        return {x for x in starters if self.datasets[x].get("recommended", False)}
 
     def default_model(self) -> str:
         starters = self.starter_models()
@@ -234,7 +234,7 @@ class ModelInstall(object):
         """
 
         if not models_installed:
-            models_installed = dict()
+            models_installed = {}
 
         model_path_id_or_url = str(model_path_id_or_url).strip("\"' ")
 
@@ -252,8 +252,7 @@ class ModelInstall(object):
 
         # folders style or similar
         elif path.is_dir() and any(
-            [
-                (path / x).exists()
+            (path / x).exists()
                 for x in {
                     "config.json",
                     "model_index.json",
@@ -261,7 +260,6 @@ class ModelInstall(object):
                     "pytorch_lora_weights.bin",
                     "pytorch_lora_weights.safetensors",
                 }
-            ]
         ):
             models_installed.update({str(model_path_id_or_url): self._install_path(path)})
 
@@ -433,17 +431,17 @@ class ModelInstall(object):
 
         rel_path = self.relative_to_root(path, self.config.models_path)
 
-        attributes = dict(
-            path=str(rel_path),
-            description=str(description),
-            model_format=info.format,
-        )
+        attributes = {
+            "path": str(rel_path),
+            "description": str(description),
+            "model_format": info.format,
+        }
         legacy_conf = None
         if info.model_type == ModelType.Main or info.model_type == ModelType.ONNX:
             attributes.update(
-                dict(
-                    variant=info.variant_type,
-                )
+                {
+                    "variant": info.variant_type,
+                }
             )
             if info.format == "checkpoint":
                 try:
@@ -474,7 +472,7 @@ class ModelInstall(object):
                 )
 
         if legacy_conf:
-            attributes.update(dict(config=str(legacy_conf)))
+            attributes.update({"config": str(legacy_conf)})
         return attributes
 
     def relative_to_root(self, path: Path, root: Optional[Path] = None) -> Path:
@@ -519,7 +517,7 @@ class ModelInstall(object):
     def _download_hf_model(self, repo_id: str, files: List[str], staging: Path, subfolder: None) -> Path:
         _, name = repo_id.split("/")
         location = staging / name
-        paths = list()
+        paths = []
         for filename in files:
             filePath = Path(filename)
             p = hf_download_with_resume(