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https://github.com/invoke-ai/InvokeAI
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55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
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from typing import types
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from invokeai.app.services.metadata import MetadataServiceBase
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from invokeai.backend import ModelManager
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from .events import EventServiceBase
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from .latent_storage import LatentsStorageBase
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from .image_storage import ImageStorageBase
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from .restoration_services import RestorationServices
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from .invocation_queue import InvocationQueueABC
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from .item_storage import ItemStorageABC
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class InvocationServices:
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"""Services that can be used by invocations"""
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events: EventServiceBase
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latents: LatentsStorageBase
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images: ImageStorageBase
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metadata: MetadataServiceBase
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queue: InvocationQueueABC
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model_manager: ModelManager
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restoration: RestorationServices
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# NOTE: we must forward-declare any types that include invocations, since invocations can use services
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graph_library: ItemStorageABC["LibraryGraph"]
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graph_execution_manager: ItemStorageABC["GraphExecutionState"]
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processor: "InvocationProcessorABC"
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def __init__(
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self,
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model_manager: ModelManager,
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events: EventServiceBase,
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logger: types.ModuleType,
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latents: LatentsStorageBase,
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images: ImageStorageBase,
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metadata: MetadataServiceBase,
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queue: InvocationQueueABC,
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graph_library: ItemStorageABC["LibraryGraph"],
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graph_execution_manager: ItemStorageABC["GraphExecutionState"],
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processor: "InvocationProcessorABC",
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restoration: RestorationServices,
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):
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self.model_manager = model_manager
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self.events = events
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self.logger = logger
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self.latents = latents
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self.images = images
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self.metadata = metadata
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self.queue = queue
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self.graph_library = graph_library
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self.graph_execution_manager = graph_execution_manager
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self.processor = processor
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self.restoration = restoration
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