isort wip 3

invokeai/backend/model_management/__init__.py

@@ -1,15 +1,19 @@
 """
 Initialization file for invokeai.backend.model_management
 """
-from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType  # noqa: F401
-from .model_cache import ModelCache  # noqa: F401
+# This import must be first
+from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType  # noqa: F401 isort: split
+
 from .lora import ModelPatcher, ONNXModelPatcher  # noqa: F401
+from .model_cache import ModelCache  # noqa: F401
 from .models import (  # noqa: F401
     BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelVariantType,
-    ModelNotFoundException,
     DuplicateModelException,
+    ModelNotFoundException,
+    ModelType,
+    ModelVariantType,
+    SubModelType,
 )
-from .model_merge import ModelMerger, MergeInterpolationMethod  # noqa: F401
+
+# This import must be last
+from .model_merge import ModelMerger, MergeInterpolationMethod  # noqa: F401 isort: split

invokeai/backend/model_management/convert_ckpt_to_diffusers.py

@@ -25,12 +25,7 @@ from typing import Optional, Union
 
 import requests
 import torch
-from diffusers.models import (
-    AutoencoderKL,
-    ControlNetModel,
-    PriorTransformer,
-    UNet2DConditionModel,
-)
+from diffusers.models import AutoencoderKL, ControlNetModel, PriorTransformer, UNet2DConditionModel
 from diffusers.pipelines.latent_diffusion.pipeline_latent_diffusion import LDMBertConfig, LDMBertModel
 from diffusers.pipelines.paint_by_example import PaintByExampleImageEncoder
 from diffusers.pipelines.pipeline_utils import DiffusionPipeline
@@ -64,6 +59,7 @@ from transformers import (
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util.logging import InvokeAILogger
+
 from .models import BaseModelType, ModelVariantType
 
 try:
@@ -1203,8 +1199,8 @@ def download_from_original_stable_diffusion_ckpt(
         StableDiffusionControlNetPipeline,
         StableDiffusionInpaintPipeline,
         StableDiffusionPipeline,
-        StableDiffusionXLPipeline,
         StableDiffusionXLImg2ImgPipeline,
+        StableDiffusionXLPipeline,
         StableUnCLIPImg2ImgPipeline,
         StableUnCLIPPipeline,
     )

invokeai/backend/model_management/lora.py

@@ -2,8 +2,8 @@ from __future__ import annotations
 
 import copy
 from contextlib import contextmanager
-from typing import Optional, Dict, Tuple, Any, Union, List
 from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import torch
@@ -14,7 +14,6 @@ from transformers import CLIPTextModel, CLIPTokenizer
 
 from .models.lora import LoRAModel
 
-
 """
 loras = [
     (lora_model1, 0.7),
@@ -307,9 +306,10 @@ class TextualInversionManager(BaseTextualInversionManager):
 
 
 class ONNXModelPatcher:
-    from .models.base import IAIOnnxRuntimeModel
     from diffusers import OnnxRuntimeModel
 
+    from .models.base import IAIOnnxRuntimeModel
+
     @classmethod
     @contextmanager
     def apply_lora_unet(

invokeai/backend/model_management/model_cache.py

@@ -17,18 +17,19 @@ context. Use like this:
 """
 
 import gc
+import hashlib
 import os
 import sys
-import hashlib
 from contextlib import suppress
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Dict, Union, types, Optional, Type, Any
+from typing import Any, Dict, Optional, Type, Union, types
 
 import torch
 
 import invokeai.backend.util.logging as logger
-from .models import BaseModelType, ModelType, SubModelType, ModelBase
+
+from .models import BaseModelType, ModelBase, ModelType, SubModelType
 
 # Maximum size of the cache, in gigs
 # Default is roughly enough to hold three fp16 diffusers models in RAM simultaneously

invokeai/backend/model_management/model_manager.py

@@ -234,8 +234,8 @@ import textwrap
 import types
 from dataclasses import dataclass
 from pathlib import Path
-from shutil import rmtree, move
-from typing import Optional, List, Literal, Tuple, Union, Dict, Set, Callable
+from shutil import move, rmtree
+from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union
 
 import torch
 import yaml
@@ -246,20 +246,21 @@ from pydantic import BaseModel, Field
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util import CUDA_DEVICE, Chdir
+
 from .model_cache import ModelCache, ModelLocker
 from .model_search import ModelSearch
 from .models import (
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelError,
-    SchedulerPredictionType,
     MODEL_CLASSES,
-    ModelConfigBase,
-    ModelNotFoundException,
-    InvalidModelException,
+    BaseModelType,
     DuplicateModelException,
+    InvalidModelException,
     ModelBase,
+    ModelConfigBase,
+    ModelError,
+    ModelNotFoundException,
+    ModelType,
+    SchedulerPredictionType,
+    SubModelType,
 )
 
 # We are only starting to number the config file with release 3.

invokeai/backend/model_management/model_merge.py

@@ -9,13 +9,14 @@ Copyright (c) 2023 Lincoln Stein and the InvokeAI Development Team
 import warnings
 from enum import Enum
 from pathlib import Path
+from typing import List, Optional, Union
+
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
-from typing import List, Union, Optional
 
 import invokeai.backend.util.logging as logger
 
-from ...backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult
+from ...backend.model_management import AddModelResult, BaseModelType, ModelManager, ModelType, ModelVariantType
 
 
 class MergeInterpolationMethod(str, Enum):

invokeai/backend/model_management/model_probe.py

@@ -1,24 +1,23 @@
 import json
-import torch
-import safetensors.torch
-
 from dataclasses import dataclass
-
-from diffusers import ModelMixin, ConfigMixin
 from pathlib import Path
-from typing import Callable, Literal, Union, Dict, Optional
+from typing import Callable, Dict, Literal, Optional, Union
+
+import safetensors.torch
+import torch
+from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
 from .models import (
     BaseModelType,
+    InvalidModelException,
     ModelType,
     ModelVariantType,
     SchedulerPredictionType,
     SilenceWarnings,
-    InvalidModelException,
 )
-from .util import lora_token_vector_length
 from .models.base import read_checkpoint_meta
+from .util import lora_token_vector_length
 
 
 @dataclass

invokeai/backend/model_management/model_search.py

@@ -5,8 +5,8 @@ Abstract base class for recursive directory search for models.
 
 import os
 from abc import ABC, abstractmethod
-from typing import List, Set, types
 from pathlib import Path
+from typing import List, Set, types
 
 import invokeai.backend.util.logging as logger