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https://github.com/invoke-ai/InvokeAI
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chore: flake8 cleanup
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@ -1 +0,0 @@
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from .ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
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@ -5,20 +5,16 @@ import inspect
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from dataclasses import dataclass, field
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from typing import Any, Callable, List, Optional, Union
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import PIL.Image
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import einops
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import PIL.Image
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import psutil
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import torch
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import torchvision.transforms as T
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from diffusers.models import AutoencoderKL, UNet2DConditionModel
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from diffusers.models.controlnet import ControlNetModel
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from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
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from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
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StableDiffusionPipeline,
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)
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from diffusers.pipelines.stable_diffusion.safety_checker import (
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StableDiffusionSafetyChecker,
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)
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from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline
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from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
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from diffusers.schedulers import KarrasDiffusionSchedulers
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from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
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from diffusers.utils.import_utils import is_xformers_available
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@ -27,15 +23,11 @@ from pydantic import Field
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from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
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from invokeai.app.services.config import InvokeAIAppConfig
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from .diffusion import (
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AttentionMapSaver,
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InvokeAIDiffuserComponent,
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PostprocessingSettings,
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BasicConditioningInfo,
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)
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from ..util import normalize_device, auto_detect_slice_size
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
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from ..util import auto_detect_slice_size, normalize_device
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from .diffusion import AttentionMapSaver, BasicConditioningInfo, InvokeAIDiffuserComponent, PostprocessingSettings
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@dataclass
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class PipelineIntermediateState:
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