isort

invokeai/app/invocations/ip_adapter.py

@@ -16,9 +16,7 @@ from invokeai.app.invocations.baseinvocation import (
 )
 from invokeai.app.invocations.primitives import ImageField
 from invokeai.backend.model_management.models.base import BaseModelType, ModelType
-from invokeai.backend.model_management.models.ip_adapter import (
+from invokeai.backend.model_management.models.ip_adapter import get_ip_adapter_image_encoder_model_id
-    get_ip_adapter_image_encoder_model_id,
-)
 
 
 class IPAdapterModelField(BaseModel):

invokeai/app/invocations/latent.py

@@ -35,10 +35,7 @@ from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
-from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData, IPAdapterConditioningInfo
-    ConditioningData,
-    IPAdapterConditioningInfo,
-)
 
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.model_management.models import BaseModelType
@@ -50,9 +47,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
     StableDiffusionGeneratorPipeline,
     image_resized_to_grid_as_tensor,
 )
-from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
+from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
-    PostprocessingSettings,
-)
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
 from ..models.image import ImageCategory, ResourceOrigin

invokeai/app/invocations/onnx.py

@@ -13,12 +13,7 @@ from pydantic import BaseModel, Field, validator
 from tqdm import tqdm
 
 from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.app.invocations.primitives import (
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput, ImageField, ImageOutput
-    ConditioningField,
-    ConditioningOutput,
-    ImageField,
-    ImageOutput,
-)
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend import BaseModelType, ModelType, SubModelType
 
@@ -40,13 +35,7 @@ from .baseinvocation import (
     invocation_output,
 )
 from .controlnet_image_processors import ControlField
-from .latent import (
+from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
-    SAMPLER_NAME_VALUES,
-    LatentsField,
-    LatentsOutput,
-    build_latents_output,
-    get_scheduler,
-)
 from .model import ClipField, ModelInfo, UNetField, VaeField
 
 ORT_TO_NP_TYPE = {

invokeai/backend/ip_adapter/attention_processor.py

@@ -7,9 +7,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 from diffusers.models.attention_processor import AttnProcessor as DiffusersAttnProcessor
-from diffusers.models.attention_processor import (
+from diffusers.models.attention_processor import AttnProcessor2_0 as DiffusersAttnProcessor2_0
-    AttnProcessor2_0 as DiffusersAttnProcessor2_0,
-)
 
 
 # Create versions of AttnProcessor and AttnProcessor2_0 that are sub-classes of nn.Module. This is required for

invokeai/backend/model_management/models/ip_adapter.py

@@ -5,11 +5,7 @@ from typing import Literal, Optional
 
 import torch
 
-from invokeai.backend.ip_adapter.ip_adapter import (
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, build_ip_adapter
-    IPAdapter,
-    IPAdapterPlus,
-    build_ip_adapter,
-)
 from invokeai.backend.model_management.models.base import (
     BaseModelType,
     InvalidModelException,