mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
545d8968fd
build(ui): fix husky path build(ui): fix hmr issue, remove emotion cache build(ui): clean up package.json build(ui): update gh action and npm scripts feat(ui): wip port lightbox to chakra theme feat(ui): wip use chakra theme tokens feat(ui): Add status text to main loading spinner feat(ui): wip chakra theme tweaking feat(ui): simply iaisimplemenu button feat(ui): wip chakra theming feat(ui): Theme Management feat(ui): Add Ocean Blue Theme feat(ui): wip lightbox fix(ui): fix lightbox mouse feat(ui): set default theme variants feat(ui): model manager chakra theme chore(ui): lint feat(ui): remove last scss feat(ui): fix switch theme feat(ui): Theme Cleanup feat(ui): Stylize Search Models Found List feat(ui): hide scrollbars feat(ui): fix floating button position feat(ui): Scrollbar Styling fix broken scripts This PR fixes the following scripts: 1) Scripts that can be executed within the repo's scripts directory. Note that these are for development testing and are not intended to be exposed to the user. configure_invokeai.py - configuration dream.py - the legacy CLI images2prompt.py - legacy "dream prompt" retriever invoke-new.py - new nodes-based CLI invoke.py - the legacy CLI under another name make_models_markdown_table.py - a utility used during the release/doc process pypi_helper.py - another utility used during the release process sd-metadata.py - retrieve JSON-formatted metadata from a PNG file 2) Scripts that are installed by pip install. They get placed into the venv's PATH and are intended to be the official entry points: invokeai-node-cli - new nodes-based CLI invokeai-node-web - new nodes-based web server invokeai - legacy CLI invokeai-configure - install time configuration script invokeai-merge - model merging script invokeai-ti - textual inversion script invokeai-model-install - model installer invokeai-update - update script invokeai-metadata" - retrieve JSON-formatted metadata from PNG files protect invocations against black autoformatting deps: upgrade to diffusers 0.14, safetensors 0.3, transformers 4.26, accelerate 0.16
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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import os
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from argparse import Namespace
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from ...backend import Globals
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from ..services.generate_initializer import get_generate
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from ..services.graph import GraphExecutionState
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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 .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(args, config, event_handler_id: int):
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Globals.try_patchmatch = args.patchmatch
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Globals.always_use_cpu = args.always_use_cpu
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Globals.internet_available = args.internet_available and check_internet()
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Globals.disable_xformers = not args.xformers
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Globals.ckpt_convert = args.ckpt_convert
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# TODO: Use a logger
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print(f">> Internet connectivity is {Globals.internet_available}")
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generate = get_generate(args, config)
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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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images = DiskImageStorage(output_folder)
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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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generate=generate,
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events=events,
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images=images,
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queue=MemoryInvocationQueue(),
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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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)
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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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