mirror of
https://github.com/invoke-ai/InvokeAI
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110 lines
3.6 KiB
Python
110 lines
3.6 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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from logging import Logger
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import os
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from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
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from invokeai.app.services.images import ImageService
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from invokeai.app.services.urls import LocalUrlService
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from invokeai.backend.util.logging import InvokeAILogger
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from ..services.default_graphs import create_system_graphs
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from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
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from ..services.model_manager_initializer import get_model_manager
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from ..services.restoration_services import RestorationServices
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from ..services.graph import GraphExecutionState, LibraryGraph
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from ..services.image_file_storage import DiskImageFileStorage
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from ..services.invocation_queue import MemoryInvocationQueue
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from ..services.invocation_services import InvocationServices
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from ..services.invoker import Invoker
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from ..services.processor import DefaultInvocationProcessor
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from ..services.sqlite import SqliteItemStorage
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from ..services.metadata import PngMetadataService
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from .events import FastAPIEventService
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# TODO: is there a better way to achieve this?
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def check_internet() -> bool:
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"""
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Return true if the internet is reachable.
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It does this by pinging huggingface.co.
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"""
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import urllib.request
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host = "http://huggingface.co"
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try:
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urllib.request.urlopen(host, timeout=1)
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return True
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except:
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return False
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logger = InvokeAILogger.getLogger()
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class ApiDependencies:
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"""Contains and initializes all dependencies for the API"""
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invoker: Invoker = None
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def initialize(config, event_handler_id: int, logger: types.ModuleType=logger):
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logger.info(f"Internet connectivity is {config.internet_available}")
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events = FastAPIEventService(event_handler_id)
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output_folder = os.path.abspath(
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os.path.join(os.path.dirname(__file__), "../../../../outputs")
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)
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latents = ForwardCacheLatentsStorage(
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DiskLatentsStorage(f"{output_folder}/latents")
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)
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metadata = PngMetadataService()
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urls = LocalUrlService()
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image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
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# TODO: build a file/path manager?
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db_location = os.path.join(output_folder, "invokeai.db")
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graph_execution_manager = SqliteItemStorage[GraphExecutionState](
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filename=db_location, table_name="graph_executions"
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)
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image_record_storage = SqliteImageRecordStorage(db_location)
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images_new = ImageService(
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image_record_storage=image_record_storage,
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image_file_storage=image_file_storage,
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metadata=metadata,
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url=urls,
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logger=logger,
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)
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services = InvocationServices(
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model_manager=get_model_manager(config, logger),
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events=events,
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latents=latents,
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images=image_file_storage,
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images_new=images_new,
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queue=MemoryInvocationQueue(),
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graph_library=SqliteItemStorage[LibraryGraph](
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filename=db_location, table_name="graphs"
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),
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graph_execution_manager=graph_execution_manager,
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processor=DefaultInvocationProcessor(),
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restoration=RestorationServices(config,logger),
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configuration=config,
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logger=logger,
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)
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create_system_graphs(services.graph_library)
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ApiDependencies.invoker = Invoker(services)
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@staticmethod
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def shutdown():
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if ApiDependencies.invoker:
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ApiDependencies.invoker.stop()
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