Apply ruff rule to disallow all relative imports.

invokeai/app/api_app.py

@@ -20,14 +20,9 @@ from torch.backends.mps import is_available as is_mps_available
 # noinspection PyUnresolvedReferences
 import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
 import invokeai.frontend.web as web_dir
+from invokeai.app.api.dependencies import ApiDependencies
 from invokeai.app.api.no_cache_staticfiles import NoCacheStaticFiles
-from invokeai.app.services.config.config_default import get_config
-from invokeai.app.util.custom_openapi import get_openapi_func
-from invokeai.backend.util.devices import TorchDevice
-from invokeai.backend.util.logging import InvokeAILogger
-
-from .api.dependencies import ApiDependencies
-from .api.routers import (
+from invokeai.app.api.routers import (
     app_info,
     board_images,
     boards,
@@ -38,7 +33,11 @@ from .api.routers import (
     utilities,
     workflows,
 )
-from .api.sockets import SocketIO
+from invokeai.app.api.sockets import SocketIO
+from invokeai.app.services.config.config_default import get_config
+from invokeai.app.util.custom_openapi import get_openapi_func
+from invokeai.backend.util.devices import TorchDevice
+from invokeai.backend.util.logging import InvokeAILogger
 
 app_config = get_config()
 

invokeai/app/invocations/collections.py

@@ -4,13 +4,12 @@
 import numpy as np
 from pydantic import ValidationInfo, field_validator
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import InputField
 from invokeai.app.invocations.primitives import IntegerCollectionOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.util.misc import SEED_MAX
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField
-
 
 @invocation(
     "range", title="Integer Range", tags=["collection", "integer", "range"], category="collections", version="1.0.0"

invokeai/app/invocations/compel.py

@@ -5,6 +5,7 @@ from compel import Compel, ReturnedEmbeddingsType
 from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
 from transformers import CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
 from invokeai.app.invocations.fields import (
     ConditioningField,
     FieldDescriptions,
@@ -14,6 +15,7 @@ from invokeai.app.invocations.fields import (
     TensorField,
     UIComponent,
 )
+from invokeai.app.invocations.model import CLIPField
 from invokeai.app.invocations.primitives import ConditioningOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.util.ti_utils import generate_ti_list
@@ -26,9 +28,6 @@ from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
 )
 from invokeai.backend.util.devices import TorchDevice
 
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
-from .model import CLIPField
-
 # unconditioned: Optional[torch.Tensor]
 
 

invokeai/app/invocations/controlnet_image_processors.py

@@ -22,6 +22,13 @@ from controlnet_aux.util import HWC3, ade_palette
 from PIL import Image
 from pydantic import BaseModel, Field, field_validator, model_validator
 
+from invokeai.app.invocations.baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    Classification,
+    invocation,
+    invocation_output,
+)
 from invokeai.app.invocations.fields import (
     FieldDescriptions,
     ImageField,
@@ -45,8 +52,6 @@ from invokeai.backend.image_util.lineart_anime import LineartAnimeProcessor
 from invokeai.backend.image_util.util import np_to_pil, pil_to_np
 from invokeai.backend.util.devices import TorchDevice
 
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, Classification, invocation, invocation_output
-
 
 class ControlField(BaseModel):
     image: ImageField = Field(description="The control image")

invokeai/app/invocations/cv.py

@@ -5,13 +5,11 @@ import cv2 as cv
 import numpy
 from PIL import Image, ImageOps
 
-from invokeai.app.invocations.fields import ImageField
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import ImageField, InputField, WithBoard, WithMetadata
 from invokeai.app.invocations.primitives import ImageOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField, WithBoard, WithMetadata
-
 
 @invocation("cv_inpaint", title="OpenCV Inpaint", tags=["opencv", "inpaint"], category="inpaint", version="1.3.1")
 class CvInpaintInvocation(BaseInvocation, WithMetadata, WithBoard):

invokeai/app/invocations/image.py

@@ -6,6 +6,7 @@ import cv2
 import numpy
 from PIL import Image, ImageChops, ImageFilter, ImageOps
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, Classification, invocation
 from invokeai.app.invocations.constants import IMAGE_MODES
 from invokeai.app.invocations.fields import (
     ColorField,
@@ -21,8 +22,6 @@ from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 from invokeai.backend.image_util.safety_checker import SafetyChecker
 
-from .baseinvocation import BaseInvocation, Classification, invocation
-
 
 @invocation("show_image", title="Show Image", tags=["image"], category="image", version="1.0.1")
 class ShowImageInvocation(BaseInvocation):

invokeai/app/invocations/infill.py

@@ -3,7 +3,9 @@ from typing import Literal, get_args
 
 from PIL import Image
 
-from invokeai.app.invocations.fields import ColorField, ImageField
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import ColorField, ImageField, InputField, WithBoard, WithMetadata
+from invokeai.app.invocations.image import PIL_RESAMPLING_MAP, PIL_RESAMPLING_MODES
 from invokeai.app.invocations.primitives import ImageOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.util.misc import SEED_MAX
@@ -14,10 +16,6 @@ from invokeai.backend.image_util.infill_methods.patchmatch import PatchMatch, in
 from invokeai.backend.image_util.infill_methods.tile import infill_tile
 from invokeai.backend.util.logging import InvokeAILogger
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField, WithBoard, WithMetadata
-from .image import PIL_RESAMPLING_MAP, PIL_RESAMPLING_MODES
-
 logger = InvokeAILogger.get_logger()
 
 

invokeai/app/invocations/math.py

@@ -5,12 +5,11 @@ from typing import Literal
 import numpy as np
 from pydantic import ValidationInfo, field_validator
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
 from invokeai.app.invocations.fields import FieldDescriptions, InputField
 from invokeai.app.invocations.primitives import FloatOutput, IntegerOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import BaseInvocation, invocation
-
 
 @invocation("add", title="Add Integers", tags=["math", "add"], category="math", version="1.0.1")
 class AddInvocation(BaseInvocation):

invokeai/app/invocations/model.py

@@ -3,18 +3,17 @@ from typing import List, Optional
 
 from pydantic import BaseModel, Field
 
-from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField, UIType
-from invokeai.app.services.shared.invocation_context import InvocationContext
-from invokeai.app.shared.models import FreeUConfig
-from invokeai.backend.model_manager.config import AnyModelConfig, BaseModelType, ModelType, SubModelType
-
-from .baseinvocation import (
+from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     Classification,
     invocation,
     invocation_output,
 )
+from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField, UIType
+from invokeai.app.services.shared.invocation_context import InvocationContext
+from invokeai.app.shared.models import FreeUConfig
+from invokeai.backend.model_manager.config import AnyModelConfig, BaseModelType, ModelType, SubModelType
 
 
 class ModelIdentifierField(BaseModel):

invokeai/app/invocations/noise.py

@@ -4,19 +4,13 @@
 import torch
 from pydantic import field_validator
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.fields import FieldDescriptions, InputField, LatentsField, OutputField
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.app.util.misc import SEED_MAX
 from invokeai.backend.util.devices import TorchDevice
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    invocation,
-    invocation_output,
-)
-
 """
 Utilities
 """

invokeai/app/invocations/param_easing.py

@@ -39,12 +39,11 @@ from easing_functions import (
 )
 from matplotlib.ticker import MaxNLocator
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import InputField
 from invokeai.app.invocations.primitives import FloatCollectionOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField
-
 
 @invocation(
     "float_range",

invokeai/app/invocations/primitives.py

@@ -4,6 +4,7 @@ from typing import Optional
 
 import torch
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
 from invokeai.app.invocations.constants import LATENT_SCALE_FACTOR
 from invokeai.app.invocations.fields import (
     ColorField,
@@ -21,13 +22,6 @@ from invokeai.app.invocations.fields import (
 from invokeai.app.services.images.images_common import ImageDTO
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    invocation,
-    invocation_output,
-)
-
 """
 Primitives: Boolean, Integer, Float, String, Image, Latents, Conditioning, Color
 - primitive nodes

invokeai/app/invocations/prompt.py

@@ -5,12 +5,11 @@ import numpy as np
 from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator
 from pydantic import field_validator
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import InputField, UIComponent
 from invokeai.app.invocations.primitives import StringCollectionOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField, UIComponent
-
 
 @invocation(
     "dynamic_prompt",

invokeai/app/invocations/sdxl.py

@@ -1,15 +1,9 @@
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
 from invokeai.app.invocations.fields import FieldDescriptions, InputField, OutputField, UIType
+from invokeai.app.invocations.model import CLIPField, ModelIdentifierField, UNetField, VAEField
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.model_manager import SubModelType
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    invocation,
-    invocation_output,
-)
-from .model import CLIPField, ModelIdentifierField, UNetField, VAEField
-
 
 @invocation_output("sdxl_model_loader_output")
 class SDXLModelLoaderOutput(BaseInvocationOutput):

invokeai/app/invocations/strings.py

@@ -2,17 +2,11 @@
 
 import re
 
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
+from invokeai.app.invocations.fields import InputField, OutputField, UIComponent
+from invokeai.app.invocations.primitives import StringOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    invocation,
-    invocation_output,
-)
-from .fields import InputField, OutputField, UIComponent
-from .primitives import StringOutput
-
 
 @invocation_output("string_pos_neg_output")
 class StringPosNegOutput(BaseInvocationOutput):

invokeai/app/invocations/upscale.py

@@ -6,15 +6,13 @@ import numpy as np
 from PIL import Image
 from pydantic import ConfigDict
 
-from invokeai.app.invocations.fields import ImageField
+from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
+from invokeai.app.invocations.fields import ImageField, InputField, WithBoard, WithMetadata
 from invokeai.app.invocations.primitives import ImageOutput
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.image_util.basicsr.rrdbnet_arch import RRDBNet
 from invokeai.backend.image_util.realesrgan.realesrgan import RealESRGAN
 
-from .baseinvocation import BaseInvocation, invocation
-from .fields import InputField, WithBoard, WithMetadata
-
 # TODO: Populate this from disk?
 # TODO: Use model manager to load?
 ESRGAN_MODELS = Literal[

invokeai/app/services/board_image_records/board_image_records_sqlite.py

@@ -2,12 +2,11 @@ import sqlite3
 import threading
 from typing import Optional, cast
 
+from invokeai.app.services.board_image_records.board_image_records_base import BoardImageRecordStorageBase
 from invokeai.app.services.image_records.image_records_common import ImageRecord, deserialize_image_record
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
 
-from .board_image_records_base import BoardImageRecordStorageBase
-
 
 class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
     _conn: sqlite3.Connection

invokeai/app/services/board_images/board_images_default.py

@@ -1,9 +1,8 @@
 from typing import Optional
 
+from invokeai.app.services.board_images.board_images_base import BoardImagesServiceABC
 from invokeai.app.services.invoker import Invoker
 
-from .board_images_base import BoardImagesServiceABC
-
 
 class BoardImagesService(BoardImagesServiceABC):
     __invoker: Invoker

invokeai/app/services/board_records/board_records_base.py

@@ -1,9 +1,8 @@
 from abc import ABC, abstractmethod
 
+from invokeai.app.services.board_records.board_records_common import BoardChanges, BoardRecord
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 
-from .board_records_common import BoardChanges, BoardRecord
-
 
 class BoardRecordStorageBase(ABC):
     """Low-level service responsible for interfacing with the board record store."""

invokeai/app/services/board_records/board_records_sqlite.py

@@ -2,12 +2,8 @@ import sqlite3
 import threading
 from typing import Union, cast
 
-from invokeai.app.services.shared.pagination import OffsetPaginatedResults
-from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
-from invokeai.app.util.misc import uuid_string
-
-from .board_records_base import BoardRecordStorageBase
-from .board_records_common import (
+from invokeai.app.services.board_records.board_records_base import BoardRecordStorageBase
+from invokeai.app.services.board_records.board_records_common import (
     BoardChanges,
     BoardRecord,
     BoardRecordDeleteException,
@@ -15,6 +11,9 @@ from .board_records_common import (
     BoardRecordSaveException,
     deserialize_board_record,
 )
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
+from invokeai.app.util.misc import uuid_string
 
 
 class SqliteBoardRecordStorage(BoardRecordStorageBase):

invokeai/app/services/boards/boards_base.py

@@ -1,10 +1,9 @@
 from abc import ABC, abstractmethod
 
 from invokeai.app.services.board_records.board_records_common import BoardChanges
+from invokeai.app.services.boards.boards_common import BoardDTO
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 
-from .boards_common import BoardDTO
-
 
 class BoardServiceABC(ABC):
     """High-level service for board management."""

invokeai/app/services/boards/boards_default.py

@@ -1,11 +1,9 @@
 from invokeai.app.services.board_records.board_records_common import BoardChanges
-from invokeai.app.services.boards.boards_common import BoardDTO
+from invokeai.app.services.boards.boards_base import BoardServiceABC
+from invokeai.app.services.boards.boards_common import BoardDTO, board_record_to_dto
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 
-from .boards_base import BoardServiceABC
-from .boards_common import board_record_to_dto
-
 
 class BoardService(BoardServiceABC):
     __invoker: Invoker

invokeai/app/services/bulk_download/bulk_download_default.py

@@ -4,6 +4,7 @@ from typing import Optional, Union
 from zipfile import ZipFile
 
 from invokeai.app.services.board_records.board_records_common import BoardRecordNotFoundException
+from invokeai.app.services.bulk_download.bulk_download_base import BulkDownloadBase
 from invokeai.app.services.bulk_download.bulk_download_common import (
     DEFAULT_BULK_DOWNLOAD_ID,
     BulkDownloadException,
@@ -15,8 +16,6 @@ from invokeai.app.services.images.images_common import ImageDTO
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.util.misc import uuid_string
 
-from .bulk_download_base import BulkDownloadBase
-
 
 class BulkDownloadService(BulkDownloadBase):
     def start(self, invoker: Invoker) -> None:

invokeai/app/services/config/__init__.py

@@ -1,7 +1,6 @@
 """Init file for InvokeAI configure package."""
 
 from invokeai.app.services.config.config_common import PagingArgumentParser
-
-from .config_default import InvokeAIAppConfig, get_config
+from invokeai.app.services.config.config_default import InvokeAIAppConfig, get_config
 
 __all__ = ["InvokeAIAppConfig", "get_config", "PagingArgumentParser"]

invokeai/app/services/download/__init__.py

@@ -1,13 +1,13 @@
 """Init file for download queue."""
 
-from .download_base import (
+from invokeai.app.services.download.download_base import (
     DownloadJob,
     DownloadJobStatus,
     DownloadQueueServiceBase,
     MultiFileDownloadJob,
     UnknownJobIDException,
 )
-from .download_default import DownloadQueueService, TqdmProgress
+from invokeai.app.services.download.download_default import DownloadQueueService, TqdmProgress
 
 __all__ = [
     "DownloadJob",

invokeai/app/services/download/download_default.py

@@ -16,12 +16,7 @@ from requests import HTTPError
 from tqdm import tqdm
 
 from invokeai.app.services.config import InvokeAIAppConfig, get_config
-from invokeai.app.services.events.events_base import EventServiceBase
-from invokeai.app.util.misc import get_iso_timestamp
-from invokeai.backend.model_manager.metadata import RemoteModelFile
-from invokeai.backend.util.logging import InvokeAILogger
-
-from .download_base import (
+from invokeai.app.services.download.download_base import (
     DownloadEventHandler,
     DownloadExceptionHandler,
     DownloadJob,
@@ -33,6 +28,10 @@ from .download_base import (
     ServiceInactiveException,
     UnknownJobIDException,
 )
+from invokeai.app.services.events.events_base import EventServiceBase
+from invokeai.app.util.misc import get_iso_timestamp
+from invokeai.backend.model_manager.metadata import RemoteModelFile
+from invokeai.backend.util.logging import InvokeAILogger
 
 # Maximum number of bytes to download during each call to requests.iter_content()
 DOWNLOAD_CHUNK_SIZE = 100000

invokeai/app/services/events/events_fastapievents.py

@@ -6,12 +6,11 @@ from queue import Empty, Queue
 
 from fastapi_events.dispatcher import dispatch
 
+from invokeai.app.services.events.events_base import EventServiceBase
 from invokeai.app.services.events.events_common import (
     EventBase,
 )
 
-from .events_base import EventServiceBase
-
 
 class FastAPIEventService(EventServiceBase):
     def __init__(self, event_handler_id: int) -> None:

invokeai/app/services/image_files/image_files_disk.py

@@ -7,12 +7,15 @@ from PIL import Image, PngImagePlugin
 from PIL.Image import Image as PILImageType
 from send2trash import send2trash
 
+from invokeai.app.services.image_files.image_files_base import ImageFileStorageBase
+from invokeai.app.services.image_files.image_files_common import (
+    ImageFileDeleteException,
+    ImageFileNotFoundException,
+    ImageFileSaveException,
+)
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.util.thumbnails import get_thumbnail_name, make_thumbnail
 
-from .image_files_base import ImageFileStorageBase
-from .image_files_common import ImageFileDeleteException, ImageFileNotFoundException, ImageFileSaveException
-
 
 class DiskImageFileStorage(ImageFileStorageBase):
     """Stores images on disk"""

invokeai/app/services/image_records/image_records_base.py

@@ -3,11 +3,15 @@ from datetime import datetime
 from typing import Optional
 
 from invokeai.app.invocations.fields import MetadataField
+from invokeai.app.services.image_records.image_records_common import (
+    ImageCategory,
+    ImageRecord,
+    ImageRecordChanges,
+    ResourceOrigin,
+)
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
 
-from .image_records_common import ImageCategory, ImageRecord, ImageRecordChanges, ResourceOrigin
-
 
 class ImageRecordStorageBase(ABC):
     """Low-level service responsible for interfacing with the image record store."""

invokeai/app/services/image_records/image_records_sqlite.py

@@ -4,12 +4,8 @@ from datetime import datetime
 from typing import Optional, Union, cast
 
 from invokeai.app.invocations.fields import MetadataField, MetadataFieldValidator
-from invokeai.app.services.shared.pagination import OffsetPaginatedResults
-from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
-from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
-
-from .image_records_base import ImageRecordStorageBase
-from .image_records_common import (
+from invokeai.app.services.image_records.image_records_base import ImageRecordStorageBase
+from invokeai.app.services.image_records.image_records_common import (
     IMAGE_DTO_COLS,
     ImageCategory,
     ImageRecord,
@@ -20,6 +16,9 @@ from .image_records_common import (
     ResourceOrigin,
     deserialize_image_record,
 )
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
+from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
 
 
 class SqliteImageRecordStorage(ImageRecordStorageBase):

invokeai/app/services/images/images_default.py

@@ -19,13 +19,12 @@ from invokeai.app.services.image_records.image_records_common import (
     InvalidOriginException,
     ResourceOrigin,
 )
+from invokeai.app.services.images.images_base import ImageServiceABC
+from invokeai.app.services.images.images_common import ImageDTO, image_record_to_dto
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
 
-from .images_base import ImageServiceABC
-from .images_common import ImageDTO, image_record_to_dto
-
 
 class ImageService(ImageServiceABC):
     __invoker: Invoker

invokeai/app/services/invocation_services.py

@@ -10,29 +10,28 @@ if TYPE_CHECKING:
 
     import torch
 
+    from invokeai.app.services.board_image_records.board_image_records_base import BoardImageRecordStorageBase
+    from invokeai.app.services.board_images.board_images_base import BoardImagesServiceABC
+    from invokeai.app.services.board_records.board_records_base import BoardRecordStorageBase
+    from invokeai.app.services.boards.boards_base import BoardServiceABC
+    from invokeai.app.services.bulk_download.bulk_download_base import BulkDownloadBase
+    from invokeai.app.services.config import InvokeAIAppConfig
+    from invokeai.app.services.download import DownloadQueueServiceBase
+    from invokeai.app.services.events.events_base import EventServiceBase
+    from invokeai.app.services.image_files.image_files_base import ImageFileStorageBase
+    from invokeai.app.services.image_records.image_records_base import ImageRecordStorageBase
+    from invokeai.app.services.images.images_base import ImageServiceABC
+    from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
+    from invokeai.app.services.invocation_stats.invocation_stats_base import InvocationStatsServiceBase
+    from invokeai.app.services.model_images.model_images_base import ModelImageFileStorageBase
+    from invokeai.app.services.model_manager.model_manager_base import ModelManagerServiceBase
+    from invokeai.app.services.names.names_base import NameServiceBase
+    from invokeai.app.services.session_processor.session_processor_base import SessionProcessorBase
+    from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase
+    from invokeai.app.services.urls.urls_base import UrlServiceBase
+    from invokeai.app.services.workflow_records.workflow_records_base import WorkflowRecordsStorageBase
     from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningFieldData
 
-    from .board_image_records.board_image_records_base import BoardImageRecordStorageBase
-    from .board_images.board_images_base import BoardImagesServiceABC
-    from .board_records.board_records_base import BoardRecordStorageBase
-    from .boards.boards_base import BoardServiceABC
-    from .bulk_download.bulk_download_base import BulkDownloadBase
-    from .config import InvokeAIAppConfig
-    from .download import DownloadQueueServiceBase
-    from .events.events_base import EventServiceBase
-    from .image_files.image_files_base import ImageFileStorageBase
-    from .image_records.image_records_base import ImageRecordStorageBase
-    from .images.images_base import ImageServiceABC
-    from .invocation_cache.invocation_cache_base import InvocationCacheBase
-    from .invocation_stats.invocation_stats_base import InvocationStatsServiceBase
-    from .model_images.model_images_base import ModelImageFileStorageBase
-    from .model_manager.model_manager_base import ModelManagerServiceBase
-    from .names.names_base import NameServiceBase
-    from .session_processor.session_processor_base import SessionProcessorBase
-    from .session_queue.session_queue_base import SessionQueueBase
-    from .urls.urls_base import UrlServiceBase
-    from .workflow_records.workflow_records_base import WorkflowRecordsStorageBase
-
 
 class InvocationServices:
     """Services that can be used by invocations"""

invokeai/app/services/invocation_stats/invocation_stats_default.py

@@ -9,11 +9,8 @@ import torch
 
 import invokeai.backend.util.logging as logger
 from invokeai.app.invocations.baseinvocation import BaseInvocation
-from invokeai.app.services.invoker import Invoker
-from invokeai.backend.model_manager.load.model_cache import CacheStats
-
-from .invocation_stats_base import InvocationStatsServiceBase
-from .invocation_stats_common import (
+from invokeai.app.services.invocation_stats.invocation_stats_base import InvocationStatsServiceBase
+from invokeai.app.services.invocation_stats.invocation_stats_common import (
     GESStatsNotFoundError,
     GraphExecutionStats,
     GraphExecutionStatsSummary,
@@ -22,6 +19,8 @@ from .invocation_stats_common import (
     NodeExecutionStats,
     NodeExecutionStatsSummary,
 )
+from invokeai.app.services.invoker import Invoker
+from invokeai.backend.model_manager.load.model_cache import CacheStats
 
 # Size of 1GB in bytes.
 GB = 2**30

invokeai/app/services/invoker.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
 
-from .invocation_services import InvocationServices
+from invokeai.app.services.invocation_services import InvocationServices
 
 
 class Invoker:

invokeai/app/services/model_images/model_images_default.py

@@ -5,15 +5,14 @@ from PIL.Image import Image as PILImageType
 from send2trash import send2trash
 
 from invokeai.app.services.invoker import Invoker
-from invokeai.app.util.misc import uuid_string
-from invokeai.app.util.thumbnails import make_thumbnail
-
-from .model_images_base import ModelImageFileStorageBase
-from .model_images_common import (
+from invokeai.app.services.model_images.model_images_base import ModelImageFileStorageBase
+from invokeai.app.services.model_images.model_images_common import (
     ModelImageFileDeleteException,
     ModelImageFileNotFoundException,
     ModelImageFileSaveException,
 )
+from invokeai.app.util.misc import uuid_string
+from invokeai.app.util.thumbnails import make_thumbnail
 
 
 class ModelImageFileStorageDisk(ModelImageFileStorageBase):

invokeai/app/services/model_install/__init__.py

@@ -1,9 +1,7 @@
 """Initialization file for model install service package."""
 
-from .model_install_base import (
-    ModelInstallServiceBase,
-)
-from .model_install_common import (
+from invokeai.app.services.model_install.model_install_base import ModelInstallServiceBase
+from invokeai.app.services.model_install.model_install_common import (
     HFModelSource,
     InstallStatus,
     LocalModelSource,
@@ -12,7 +10,7 @@ from .model_install_common import (
     UnknownInstallJobException,
     URLModelSource,
 )
-from .model_install_default import ModelInstallService
+from invokeai.app.services.model_install.model_install_default import ModelInstallService
 
 __all__ = [
     "ModelInstallServiceBase",

invokeai/app/services/model_install/model_install_default.py

@@ -23,6 +23,16 @@ from invokeai.app.services.download import DownloadQueueServiceBase, MultiFileDo
 from invokeai.app.services.events.events_base import EventServiceBase
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.model_install.model_install_base import ModelInstallServiceBase
+from invokeai.app.services.model_install.model_install_common import (
+    MODEL_SOURCE_TO_TYPE_MAP,
+    HFModelSource,
+    InstallStatus,
+    LocalModelSource,
+    ModelInstallJob,
+    ModelSource,
+    StringLikeSource,
+    URLModelSource,
+)
 from invokeai.app.services.model_records import DuplicateModelException, ModelRecordServiceBase
 from invokeai.app.services.model_records.model_records_base import ModelRecordChanges
 from invokeai.backend.model_manager.config import (
@@ -47,17 +57,6 @@ from invokeai.backend.util.catch_sigint import catch_sigint
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.util import slugify
 
-from .model_install_common import (
-    MODEL_SOURCE_TO_TYPE_MAP,
-    HFModelSource,
-    InstallStatus,
-    LocalModelSource,
-    ModelInstallJob,
-    ModelSource,
-    StringLikeSource,
-    URLModelSource,
-)
-
 TMPDIR_PREFIX = "tmpinstall_"
 
 

invokeai/app/services/model_load/__init__.py

@@ -1,6 +1,6 @@
 """Initialization file for model load service module."""
 
-from .model_load_base import ModelLoadServiceBase
-from .model_load_default import ModelLoadService
+from invokeai.app.services.model_load.model_load_base import ModelLoadServiceBase
+from invokeai.app.services.model_load.model_load_default import ModelLoadService
 
 __all__ = ["ModelLoadServiceBase", "ModelLoadService"]

invokeai/app/services/model_load/model_load_default.py

@@ -10,6 +10,7 @@ from torch import load as torch_load
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.model_load.model_load_base import ModelLoadServiceBase
 from invokeai.backend.model_manager import AnyModel, AnyModelConfig, SubModelType
 from invokeai.backend.model_manager.load import (
     LoadedModel,
@@ -22,8 +23,6 @@ from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.logging import InvokeAILogger
 
-from .model_load_base import ModelLoadServiceBase
-
 
 class ModelLoadService(ModelLoadServiceBase):
     """Wrapper around ModelLoaderRegistry."""

invokeai/app/services/model_manager/__init__.py

@@ -1,10 +1,9 @@
 """Initialization file for model manager service."""
 
+from invokeai.app.services.model_manager.model_manager_default import ModelManagerService, ModelManagerServiceBase
 from invokeai.backend.model_manager import AnyModel, AnyModelConfig, BaseModelType, ModelType, SubModelType
 from invokeai.backend.model_manager.load import LoadedModel
 
-from .model_manager_default import ModelManagerService, ModelManagerServiceBase
-
 __all__ = [
     "ModelManagerServiceBase",
     "ModelManagerService",

invokeai/app/services/model_manager/model_manager_default.py

@@ -14,13 +14,12 @@ from invokeai.app.services.model_install.model_install_base import ModelInstallS
 from invokeai.app.services.model_install.model_install_default import ModelInstallService
 from invokeai.app.services.model_load.model_load_base import ModelLoadServiceBase
 from invokeai.app.services.model_load.model_load_default import ModelLoadService
+from invokeai.app.services.model_manager.model_manager_base import ModelManagerServiceBase
 from invokeai.app.services.model_records.model_records_base import ModelRecordServiceBase
 from invokeai.backend.model_manager.load import ModelCache, ModelLoaderRegistry
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.logging import InvokeAILogger
 
-from .model_manager_base import ModelManagerServiceBase
-
 
 class ModelManagerService(ModelManagerServiceBase):
     """

invokeai/app/services/model_records/model_records_sql.py

@@ -45,6 +45,14 @@ from math import ceil
 from pathlib import Path
 from typing import List, Optional, Union
 
+from invokeai.app.services.model_records.model_records_base import (
+    DuplicateModelException,
+    ModelRecordChanges,
+    ModelRecordOrderBy,
+    ModelRecordServiceBase,
+    ModelSummary,
+    UnknownModelException,
+)
 from invokeai.app.services.shared.pagination import PaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
 from invokeai.backend.model_manager.config import (
@@ -55,15 +63,6 @@ from invokeai.backend.model_manager.config import (
     ModelType,
 )
 
-from .model_records_base import (
-    DuplicateModelException,
-    ModelRecordChanges,
-    ModelRecordOrderBy,
-    ModelRecordServiceBase,
-    ModelSummary,
-    UnknownModelException,
-)
-
 
 class ModelRecordServiceSQL(ModelRecordServiceBase):
     """Implementation of the ModelConfigStore ABC using a SQL database."""

invokeai/app/services/names/names_default.py

@@ -1,7 +1,6 @@
+from invokeai.app.services.names.names_base import NameServiceBase
 from invokeai.app.util.misc import uuid_string
 
-from .names_base import NameServiceBase
-
 
 class SimpleNameService(NameServiceBase):
     """Creates image names from UUIDs."""

invokeai/app/services/session_processor/session_processor_default.py

@@ -15,22 +15,22 @@ from invokeai.app.services.events.events_common import (
 from invokeai.app.services.invocation_stats.invocation_stats_common import GESStatsNotFoundError
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.session_processor.session_processor_base import (
+    InvocationServices,
     OnAfterRunNode,
     OnAfterRunSession,
     OnBeforeRunNode,
     OnBeforeRunSession,
     OnNodeError,
     OnNonFatalProcessorError,
+    SessionProcessorBase,
+    SessionRunnerBase,
 )
-from invokeai.app.services.session_processor.session_processor_common import CanceledException
+from invokeai.app.services.session_processor.session_processor_common import CanceledException, SessionProcessorStatus
 from invokeai.app.services.session_queue.session_queue_common import SessionQueueItem, SessionQueueItemNotFoundError
 from invokeai.app.services.shared.graph import NodeInputError
 from invokeai.app.services.shared.invocation_context import InvocationContextData, build_invocation_context
 from invokeai.app.util.profiler import Profiler
 
-from .session_processor_base import InvocationServices, SessionProcessorBase, SessionRunnerBase
-from .session_processor_common import SessionProcessorStatus
-
 
 class DefaultSessionRunner(SessionRunnerBase):
     """Processes a single session's invocations."""

invokeai/app/services/urls/urls_default.py

@@ -1,6 +1,6 @@
 import os
 
-from .urls_base import UrlServiceBase
+from invokeai.app.services.urls.urls_base import UrlServiceBase
 
 
 class LocalUrlService(UrlServiceBase):

invokeai/backend/image_util/__init__.py

@@ -2,6 +2,11 @@
 Initialization file for invokeai.backend.image_util methods.
 """
 
-from .infill_methods.patchmatch import PatchMatch  # noqa: F401
-from .pngwriter import PngWriter, PromptFormatter, retrieve_metadata, write_metadata  # noqa: F401
-from .util import InitImageResizer, make_grid  # noqa: F401
+from invokeai.backend.image_util.infill_methods.patchmatch import PatchMatch  # noqa: F401
+from invokeai.backend.image_util.pngwriter import (  # noqa: F401
+    PngWriter,
+    PromptFormatter,
+    retrieve_metadata,
+    write_metadata,
+)
+from invokeai.backend.image_util.util import InitImageResizer, make_grid  # noqa: F401

invokeai/backend/image_util/basicsr/rrdbnet_arch.py

@@ -2,7 +2,7 @@ import torch
 from torch import nn as nn
 from torch.nn import functional as F
 
-from .arch_util import default_init_weights, make_layer, pixel_unshuffle
+from invokeai.backend.image_util.basicsr.arch_util import default_init_weights, make_layer, pixel_unshuffle
 
 
 class ResidualDenseBlock(nn.Module):

invokeai/backend/image_util/depth_anything/model/dpt.py

@@ -4,7 +4,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-from .blocks import FeatureFusionBlock, _make_scratch
+from invokeai.backend.image_util.depth_anything.model.blocks import FeatureFusionBlock, _make_scratch
 
 torchhub_path = Path(__file__).parent.parent / "torchhub"
 

invokeai/backend/image_util/dw_openpose/wholebody.py

@@ -8,11 +8,10 @@ import numpy as np
 import onnxruntime as ort
 
 from invokeai.app.services.config.config_default import get_config
+from invokeai.backend.image_util.dw_openpose.onnxdet import inference_detector
+from invokeai.backend.image_util.dw_openpose.onnxpose import inference_pose
 from invokeai.backend.util.devices import TorchDevice
 
-from .onnxdet import inference_detector
-from .onnxpose import inference_pose
-
 config = get_config()
 
 

invokeai/backend/ip_adapter/ip_adapter.py

@@ -11,10 +11,9 @@ from PIL import Image
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
 from invokeai.backend.ip_adapter.ip_attention_weights import IPAttentionWeights
+from invokeai.backend.ip_adapter.resampler import Resampler
 from invokeai.backend.raw_model import RawModel
 
-from .resampler import Resampler
-
 
 class IPAdapterStateDict(TypedDict):
     ip_adapter: dict[str, torch.Tensor]

invokeai/backend/lora.py

@@ -10,10 +10,9 @@ from safetensors.torch import load_file
 from typing_extensions import Self
 
 from invokeai.backend.model_manager import BaseModelType
+from invokeai.backend.raw_model import RawModel
 from invokeai.backend.util.devices import TorchDevice
 
-from .raw_model import RawModel
-
 
 class LoRALayerBase:
     # rank: Optional[int]

invokeai/backend/model_manager/__init__.py

@@ -1,6 +1,6 @@
 """Re-export frequently-used symbols from the Model Manager backend."""
 
-from .config import (
+from invokeai.backend.model_manager.config import (
     AnyModel,
     AnyModelConfig,
     BaseModelType,
@@ -13,9 +13,9 @@ from .config import (
     SchedulerPredictionType,
     SubModelType,
 )
-from .load import LoadedModel
-from .probe import ModelProbe
-from .search import ModelSearch
+from invokeai.backend.model_manager.load import LoadedModel
+from invokeai.backend.model_manager.probe import ModelProbe
+from invokeai.backend.model_manager.search import ModelSearch
 
 __all__ = [
     "AnyModel",

invokeai/backend/model_manager/load/__init__.py

@@ -6,10 +6,10 @@ 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
+from invokeai.backend.model_manager.load.load_base import LoadedModel, LoadedModelWithoutConfig, ModelLoaderBase
+from invokeai.backend.model_manager.load.load_default import ModelLoader
+from invokeai.backend.model_manager.load.model_cache.model_cache_default import ModelCache
+from invokeai.backend.model_manager.load.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__"]

invokeai/backend/model_manager/load/model_cache/model_cache_default.py

@@ -29,13 +29,17 @@ import torch
 
 from invokeai.backend.model_manager import AnyModel, SubModelType
 from invokeai.backend.model_manager.load.memory_snapshot import MemorySnapshot, get_pretty_snapshot_diff
+from invokeai.backend.model_manager.load.model_cache.model_cache_base import (
+    CacheRecord,
+    CacheStats,
+    ModelCacheBase,
+    ModelLockerBase,
+)
+from invokeai.backend.model_manager.load.model_cache.model_locker import ModelLocker
 from invokeai.backend.model_manager.load.model_util import calc_model_size_by_data
 from invokeai.backend.util.devices import TorchDevice
 from invokeai.backend.util.logging import InvokeAILogger
 
-from .model_cache_base import CacheRecord, CacheStats, ModelCacheBase, ModelLockerBase
-from .model_locker import ModelLocker
-
 # Maximum size of the cache, in gigs
 # Default is roughly enough to hold three fp16 diffusers models in RAM simultaneously
 DEFAULT_MAX_CACHE_SIZE = 6.0

invokeai/backend/model_manager/load/model_cache/model_locker.py

@@ -7,8 +7,11 @@ from typing import Dict, Optional
 import torch
 
 from invokeai.backend.model_manager import AnyModel
-
-from .model_cache_base import CacheRecord, ModelCacheBase, ModelLockerBase
+from invokeai.backend.model_manager.load.model_cache.model_cache_base import (
+    CacheRecord,
+    ModelCacheBase,
+    ModelLockerBase,
+)
 
 
 class ModelLocker(ModelLockerBase):

invokeai/backend/model_manager/load/model_loader_registry.py

@@ -26,8 +26,7 @@ from invokeai.backend.model_manager.config import (
     ModelType,
     SubModelType,
 )
-
-from . import ModelLoaderBase
+from invokeai.backend.model_manager.load import ModelLoaderBase
 
 
 class ModelLoaderRegistryBase(ABC):

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

@@ -14,8 +14,7 @@ from invokeai.backend.model_manager import (
 )
 from invokeai.backend.model_manager.config import ControlNetCheckpointConfig, SubModelType
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
-
-from .generic_diffusers import GenericDiffusersLoader
+from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import GenericDiffusersLoader
 
 
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.ControlNet, format=ModelFormat.Diffusers)

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

@@ -14,8 +14,7 @@ from invokeai.backend.model_manager import (
     SubModelType,
 )
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
-
-from .generic_diffusers import GenericDiffusersLoader
+from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import GenericDiffusersLoader
 
 
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.ONNX, format=ModelFormat.ONNX)

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

@@ -26,10 +26,9 @@ from invokeai.backend.model_manager.config import (
     MainCheckpointConfig,
 )
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
+from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import GenericDiffusersLoader
 from invokeai.backend.util.silence_warnings import SilenceWarnings
 
-from .generic_diffusers import GenericDiffusersLoader
-
 VARIANT_TO_IN_CHANNEL_MAP = {
     ModelVariantType.Normal: 4,
     ModelVariantType.Depth: 5,

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

@@ -13,8 +13,7 @@ from invokeai.backend.model_manager import (
 )
 from invokeai.backend.model_manager.config import AnyModel, SubModelType, VAECheckpointConfig
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
-
-from .generic_diffusers import GenericDiffusersLoader
+from invokeai.backend.model_manager.load.model_loaders.generic_diffusers import GenericDiffusersLoader
 
 
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.VAE, format=ModelFormat.Diffusers)

invokeai/backend/model_manager/merge.py

@@ -17,16 +17,10 @@ from diffusers.utils import logging as dlogging
 
 from invokeai.app.services.model_install import ModelInstallServiceBase
 from invokeai.app.services.model_records.model_records_base import ModelRecordChanges
+from invokeai.backend.model_manager import AnyModelConfig, BaseModelType, ModelType, ModelVariantType
+from invokeai.backend.model_manager.config import MainDiffusersConfig
 from invokeai.backend.util.devices import TorchDevice
 
-from . import (
-    AnyModelConfig,
-    BaseModelType,
-    ModelType,
-    ModelVariantType,
-)
-from .config import MainDiffusersConfig
-
 
 class MergeInterpolationMethod(str, Enum):
     WeightedSum = "weighted_sum"

invokeai/backend/model_manager/metadata/__init__.py

@@ -16,8 +16,8 @@ data = HuggingFaceMetadataFetch().from_id("<REPO_ID>")
 assert isinstance(data, HuggingFaceMetadata)
 """
 
-from .fetch import HuggingFaceMetadataFetch, ModelMetadataFetchBase
-from .metadata_base import (
+from invokeai.backend.model_manager.metadata.fetch import HuggingFaceMetadataFetch, ModelMetadataFetchBase
+from invokeai.backend.model_manager.metadata.metadata_base import (
     AnyModelRepoMetadata,
     AnyModelRepoMetadataValidator,
     BaseMetadata,

invokeai/backend/model_manager/metadata/fetch/__init__.py

@@ -10,7 +10,7 @@ data = HuggingFaceMetadataFetch().from_id("<repo_id>")
 assert isinstance(data, HuggingFaceMetadata)
 """
 
-from .fetch_base import ModelMetadataFetchBase
-from .huggingface import HuggingFaceMetadataFetch
+from invokeai.backend.model_manager.metadata.fetch.fetch_base import ModelMetadataFetchBase
+from invokeai.backend.model_manager.metadata.fetch.huggingface import HuggingFaceMetadataFetch
 
 __all__ = ["ModelMetadataFetchBase", "HuggingFaceMetadataFetch"]

invokeai/backend/model_manager/metadata/fetch/huggingface.py

@@ -25,6 +25,7 @@ from pydantic.networks import AnyHttpUrl
 from requests.sessions import Session
 
 from invokeai.backend.model_manager.config import ModelRepoVariant
+from invokeai.backend.model_manager.metadata.fetch.fetch_base import ModelMetadataFetchBase
 from invokeai.backend.model_manager.metadata.metadata_base import (
     AnyModelRepoMetadata,
     HuggingFaceMetadata,
@@ -32,8 +33,6 @@ from invokeai.backend.model_manager.metadata.metadata_base import (
     UnknownMetadataException,
 )
 
-from .fetch_base import ModelMetadataFetchBase
-
 HF_MODEL_RE = r"https?://huggingface.co/([\w\-.]+/[\w\-.]+)"
 
 

invokeai/backend/model_manager/probe.py

@@ -10,9 +10,7 @@ from picklescan.scanner import scan_file_path
 import invokeai.backend.util.logging as logger
 from invokeai.app.util.misc import uuid_string
 from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS, ModelHash
-from invokeai.backend.util.silence_warnings import SilenceWarnings
-
-from .config import (
+from invokeai.backend.model_manager.config import (
     AnyModelConfig,
     BaseModelType,
     ControlAdapterDefaultSettings,
@@ -26,7 +24,8 @@ from .config import (
     ModelVariantType,
     SchedulerPredictionType,
 )
-from .util.model_util import lora_token_vector_length, read_checkpoint_meta
+from invokeai.backend.model_manager.util.model_util import lora_token_vector_length, read_checkpoint_meta
+from invokeai.backend.util.silence_warnings import SilenceWarnings
 
 CkptType = Dict[str | int, Any]
 

invokeai/backend/model_patcher.py

@@ -13,14 +13,13 @@ from diffusers import OnnxRuntimeModel, UNet2DConditionModel
 from transformers import CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
 
 from invokeai.app.shared.models import FreeUConfig
+from invokeai.backend.lora import LoRAModelRaw
 from invokeai.backend.model_manager import AnyModel
 from invokeai.backend.model_manager.load.optimizations import skip_torch_weight_init
 from invokeai.backend.onnx.onnx_runtime import IAIOnnxRuntimeModel
+from invokeai.backend.textual_inversion import TextualInversionManager, TextualInversionModelRaw
 from invokeai.backend.util.devices import TorchDevice
 
-from .lora import LoRAModelRaw
-from .textual_inversion import TextualInversionManager, TextualInversionModelRaw
-
 """
 loras = [
     (lora_model1, 0.7),
@@ -338,7 +337,7 @@ class ONNXModelPatcher:
         loras: List[Tuple[LoRAModelRaw, float]],
         prefix: str,
     ) -> None:
-        from .models.base import IAIOnnxRuntimeModel
+        from invokeai.backend.models.base import IAIOnnxRuntimeModel
 
         if not isinstance(model, IAIOnnxRuntimeModel):
             raise Exception("Only IAIOnnxRuntimeModel models supported")
@@ -425,7 +424,7 @@ class ONNXModelPatcher:
         text_encoder: IAIOnnxRuntimeModel,
         ti_list: List[Tuple[str, Any]],
     ) -> Iterator[Tuple[CLIPTokenizer, TextualInversionManager]]:
-        from .models.base import IAIOnnxRuntimeModel
+        from invokeai.backend.models.base import IAIOnnxRuntimeModel
 
         if not isinstance(text_encoder, IAIOnnxRuntimeModel):
             raise Exception("Only IAIOnnxRuntimeModel models supported")

invokeai/backend/stable_diffusion/__init__.py

@@ -2,9 +2,12 @@
 Initialization file for the invokeai.backend.stable_diffusion package
 """
 
-from .diffusers_pipeline import PipelineIntermediateState, StableDiffusionGeneratorPipeline  # noqa: F401
-from .diffusion import InvokeAIDiffuserComponent  # noqa: F401
-from .seamless import set_seamless  # noqa: F401
+from invokeai.backend.stable_diffusion.diffusers_pipeline import (  # noqa: F401
+    PipelineIntermediateState,
+    StableDiffusionGeneratorPipeline,
+)
+from invokeai.backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent  # noqa: F401
+from invokeai.backend.stable_diffusion.seamless import set_seamless  # noqa: F401
 
 __all__ = [
     "PipelineIntermediateState",

invokeai/backend/stable_diffusion/diffusion/__init__.py

@@ -2,4 +2,6 @@
 Initialization file for invokeai.models.diffusion
 """
 
-from .shared_invokeai_diffusion import InvokeAIDiffuserComponent  # noqa: F401
+from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
+    InvokeAIDiffuserComponent,  # noqa: F401
+)

invokeai/backend/stable_diffusion/schedulers/__init__.py

@@ -1,3 +1,3 @@
-from .schedulers import SCHEDULER_MAP  # noqa: F401
+from invokeai.backend.stable_diffusion.schedulers.schedulers import SCHEDULER_MAP  # noqa: F401
 
 __all__ = ["SCHEDULER_MAP"]

invokeai/backend/textual_inversion.py

@@ -9,7 +9,7 @@ from safetensors.torch import load_file
 from transformers import CLIPTokenizer
 from typing_extensions import Self
 
-from .raw_model import RawModel
+from invokeai.backend.raw_model import RawModel
 
 
 class TextualInversionModelRaw(RawModel):

invokeai/backend/util/__init__.py

@@ -2,8 +2,8 @@
 Initialization file for invokeai.backend.util
 """
 
-from .logging import InvokeAILogger
-from .util import GIG, Chdir, directory_size
+from invokeai.backend.util.logging import InvokeAILogger
+from invokeai.backend.util.util import GIG, Chdir, directory_size
 
 __all__ = [
     "GIG",

invokeai/version/__init__.py

@@ -2,7 +2,7 @@
 initialization file for invokeai
 """
 
-from .invokeai_version import __version__  # noqa: F401
+from invokeai.version.invokeai_version import __version__  # noqa: F401
 
 __app_id__ = "invoke-ai/InvokeAI"
 __app_name__ = "InvokeAI"

pyproject.toml

@@ -210,7 +210,7 @@ select = ["B", "C", "E", "F", "W", "I", "TID"]
 
 [tool.ruff.lint.flake8-tidy-imports]
 # Disallow all relative imports.
-ban-relative-imports = "parents"
+ban-relative-imports = "all"
 
 #=== End: Ruff
 

tests/test_graph_execution_state.py

@@ -3,13 +3,6 @@ from unittest.mock import Mock
 
 import pytest
 
-# This import must happen before other invoke imports or test in other files(!!) break
-from .test_nodes import (  # isort: split
-    PromptCollectionTestInvocation,
-    PromptTestInvocation,
-    TextToImageTestInvocation,
-)
-
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.collections import RangeInvocation
 from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
@@ -20,7 +13,13 @@ from invokeai.app.services.shared.graph import (
     IterateInvocation,
 )
 
-from .test_nodes import create_edge
+# This import must happen before other invoke imports or test in other files(!!) break
+from tests.test_nodes import (
+    PromptCollectionTestInvocation,
+    PromptTestInvocation,
+    TextToImageTestInvocation,
+    create_edge,
+)
 
 
 @pytest.fixture

tests/test_node_graph.py

@@ -27,8 +27,7 @@ from invokeai.app.services.shared.graph import (
     NodeNotFoundError,
     are_connections_compatible,
 )
-
-from .test_nodes import (
+from tests.test_nodes import (
     AnyTypeTestInvocation,
     ImageToImageTestInvocation,
     ListPassThroughInvocation,

tests/test_session_queue.py

@@ -11,8 +11,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     prepare_values_to_insert,
 )
 from invokeai.app.services.shared.graph import Graph, GraphExecutionState
-
-from .test_nodes import PromptTestInvocation
+from tests.test_nodes import PromptTestInvocation
 
 
 @pytest.fixture