More refactoring to help with circular imports.

invokeai/app/invocations/create_gradient_mask.py

@@ -19,8 +19,8 @@ from invokeai.app.invocations.fields import (
 from invokeai.app.invocations.image_to_latents import ImageToLatentsInvocation
 from invokeai.app.invocations.model import UNetField, VAEField
 from invokeai.app.services.shared.invocation_context import InvocationContext
-from invokeai.backend.model_manager import LoadedModel
 from invokeai.backend.model_manager.config import MainConfigBase, ModelVariantType
+from invokeai.backend.model_manager.load.load_base import LoadedModel
 from invokeai.backend.stable_diffusion.diffusers_pipeline import image_resized_to_grid_as_tensor
 
 

invokeai/app/invocations/image_to_latents.py

@@ -23,7 +23,7 @@ from invokeai.app.invocations.fields import (
 from invokeai.app.invocations.model import VAEField
 from invokeai.app.invocations.primitives import LatentsOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
-from invokeai.backend.model_manager import LoadedModel
+from invokeai.backend.model_manager.load.load_base import LoadedModel
 from invokeai.backend.stable_diffusion.diffusers_pipeline import image_resized_to_grid_as_tensor
 from invokeai.backend.stable_diffusion.vae_tiling import patch_vae_tiling_params
 

invokeai/app/services/model_load/model_load_base.py

@@ -6,7 +6,7 @@ from pathlib import Path
 from typing import Callable, Optional
 
 from invokeai.backend.model_manager import AnyModel, AnyModelConfig, SubModelType
-from invokeai.backend.model_manager.load import LoadedModel, LoadedModelWithoutConfig
+from invokeai.backend.model_manager.load.load_base import LoadedModel, LoadedModelWithoutConfig
 from invokeai.backend.model_manager.load.model_cache.model_cache_base import ModelCacheBase
 
 

invokeai/app/services/model_load/model_load_default.py

@@ -11,13 +11,9 @@ from torch import load as torch_load
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.app.services.invoker import Invoker
 from invokeai.backend.model_manager import AnyModel, AnyModelConfig, SubModelType
-from invokeai.backend.model_manager.load import (
-    LoadedModel,
-    LoadedModelWithoutConfig,
-    ModelLoaderRegistry,
-    ModelLoaderRegistryBase,
-)
+from invokeai.backend.model_manager.load.load_base import LoadedModel, LoadedModelWithoutConfig
 from invokeai.backend.model_manager.load.model_cache.model_cache_base import ModelCacheBase
+from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry, ModelLoaderRegistryBase
 from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import GenericDiffusersLoader
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.logging import InvokeAILogger

invokeai/app/services/model_manager/model_manager_default.py

@@ -7,7 +7,8 @@ import torch
 from typing_extensions import Self
 
 from invokeai.app.services.invoker import Invoker
-from invokeai.backend.model_manager.load import ModelCache, ModelLoaderRegistry
+from invokeai.backend.model_manager.load.model_cache.model_cache_default import ModelCache
+from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.logging import InvokeAILogger
 

invokeai/backend/model_manager/__init__.py

@@ -13,7 +13,6 @@ from .config import (
     SchedulerPredictionType,
     SubModelType,
 )
-from .load import LoadedModel
 from .probe import ModelProbe
 from .search import ModelSearch
 
@@ -23,7 +22,6 @@ __all__ = [
     "BaseModelType",
     "ModelRepoVariant",
     "InvalidModelConfigException",
-    "LoadedModel",
     "ModelConfigFactory",
     "ModelFormat",
     "ModelProbe",

invokeai/backend/model_manager/load/__init__.py

@@ -1,27 +1 @@
-# Copyright (c) 2024 Lincoln D. Stein and the InvokeAI Development Team
-"""
-Init file for the model loader.
-"""
 
-from importlib import import_module
-from pathlib import Path
-
-from .load_base import LoadedModel, LoadedModelWithoutConfig, ModelLoaderBase
-from .load_default import ModelLoader
-from .model_cache.model_cache_default import ModelCache
-from .model_loader_registry import ModelLoaderRegistry, ModelLoaderRegistryBase
-
-# This registers the subclasses that implement loaders of specific model types
-loaders = [x.stem for x in Path(Path(__file__).parent, "model_loaders").glob("*.py") if x.stem != "__init__"]
-for module in loaders:
-    import_module(f"{__package__}.model_loaders.{module}")
-
-__all__ = [
-    "LoadedModel",
-    "LoadedModelWithoutConfig",
-    "ModelCache",
-    "ModelLoaderBase",
-    "ModelLoader",
-    "ModelLoaderRegistryBase",
-    "ModelLoaderRegistry",
-]

invokeai/backend/model_manager/load/load_default.py

@@ -15,7 +15,7 @@ from invokeai.backend.model_manager import (
 from invokeai.backend.model_manager.config import DiffusersConfigBase
 from invokeai.backend.model_manager.load.load_base import LoadedModel, ModelLoaderBase
 from invokeai.backend.model_manager.load.model_cache.model_cache_base import ModelCacheBase, ModelLockerBase
-from invokeai.backend.model_manager.load.model_util import calc_model_size_by_fs
+from invokeai.backend.model_manager.load.model_size_utils import calc_model_size_by_fs
 from invokeai.backend.model_manager.load.optimizations import skip_torch_weight_init
 from invokeai.backend.util.devices import TorchDevice
 

invokeai/backend/model_manager/load/model_loader_registry.py

@@ -18,6 +18,8 @@ Use like this:
 from abc import ABC, abstractmethod
 from typing import Callable, Dict, Optional, Tuple, Type, TypeVar
 
+from invokeai.backend.model_manager.load.load_base import ModelLoaderBase
+
 from ..config import (
     AnyModelConfig,
     BaseModelType,
@@ -26,7 +28,6 @@ from ..config import (
     ModelType,
     SubModelType,
 )
-from . import ModelLoaderBase
 
 
 class ModelLoaderRegistryBase(ABC):

invokeai/backend/model_manager/load/model_loaders/generic_diffusers.py

@@ -18,8 +18,8 @@ from invokeai.backend.model_manager import (
     SubModelType,
 )
 from invokeai.backend.model_manager.config import DiffusersConfigBase
-
-from .. import ModelLoader, ModelLoaderRegistry
+from invokeai.backend.model_manager.load.load_default import ModelLoader
+from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
 
 
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.CLIPVision, format=ModelFormat.Diffusers)

invokeai/backend/model_manager/load/model_loaders/ip_adapter.py

@@ -8,7 +8,8 @@ import torch
 
 from invokeai.backend.ip_adapter.ip_adapter import build_ip_adapter
 from invokeai.backend.model_manager import AnyModel, AnyModelConfig, BaseModelType, ModelFormat, ModelType, SubModelType
-from invokeai.backend.model_manager.load import ModelLoader, ModelLoaderRegistry
+from invokeai.backend.model_manager.load.load_default import ModelLoader
+from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
 from invokeai.backend.raw_model import RawModel
 
 

invokeai/backend/util/test_utils.py

@@ -7,7 +7,8 @@ import torch
 
 from invokeai.app.services.model_manager.model_manager_base import ModelManagerServiceBase
 from invokeai.app.services.model_records import UnknownModelException
-from invokeai.backend.model_manager import BaseModelType, LoadedModel, ModelType, SubModelType
+from invokeai.backend.model_manager import BaseModelType, ModelType, SubModelType
+from invokeai.backend.model_manager.load.load_base import LoadedModel
 
 
 @pytest.fixture(scope="session")

tests/backend/model_manager/model_manager_fixtures.py

@@ -26,7 +26,7 @@ from invokeai.backend.model_manager.config import (
     ModelVariantType,
     VAEDiffusersConfig,
 )
-from invokeai.backend.model_manager.load import ModelCache
+from invokeai.backend.model_manager.load.model_cache.model_cache_default import ModelCache
 from invokeai.backend.util.logging import InvokeAILogger
 from tests.backend.model_manager.model_metadata.metadata_examples import (
     HFTestLoraMetadata,