mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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import os
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import invokeai.backend.util.logging as log
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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 ...backend import Globals
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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_storage import DiskImageStorage
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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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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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@staticmethod
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def initialize(config, event_handler_id: int):
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Globals.try_patchmatch = config.patchmatch
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Globals.always_use_cpu = config.always_use_cpu
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Globals.internet_available = config.internet_available and check_internet()
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Globals.disable_xformers = not config.xformers
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Globals.ckpt_convert = config.ckpt_convert
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log.info(f"Internet connectivity is {Globals.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(DiskLatentsStorage(f'{output_folder}/latents'))
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metadata = PngMetadataService()
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images = DiskImageStorage(f'{output_folder}/images', metadata_service=metadata)
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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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services = InvocationServices(
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model_manager=get_model_manager(config),
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events=events,
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latents=latents,
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images=images,
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metadata=metadata,
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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=SqliteItemStorage[GraphExecutionState](
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filename=db_location, table_name="graph_executions"
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),
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processor=DefaultInvocationProcessor(),
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restoration=RestorationServices(config),
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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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