| | from __future__ import annotations
|
| |
|
| | import os
|
| | import sys
|
| | import time
|
| | import importlib
|
| | import signal
|
| | import re
|
| | import warnings
|
| | import json
|
| | from threading import Thread
|
| | from typing import Iterable
|
| |
|
| | from fastapi import FastAPI, Response
|
| | from fastapi.middleware.cors import CORSMiddleware
|
| | from fastapi.middleware.gzip import GZipMiddleware
|
| | from packaging import version
|
| |
|
| | import logging
|
| |
|
| | logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
|
| |
|
| | from modules import paths, timer, import_hook, errors, devices
|
| |
|
| | startup_timer = timer.startup_timer
|
| |
|
| | import torch
|
| | import pytorch_lightning
|
| | warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
|
| | warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
|
| |
|
| |
|
| | startup_timer.record("import torch")
|
| |
|
| | import gradio
|
| | startup_timer.record("import gradio")
|
| |
|
| | import ldm.modules.encoders.modules
|
| | startup_timer.record("import ldm")
|
| |
|
| | from modules import extra_networks
|
| | from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, queue_lock
|
| |
|
| |
|
| | if ".dev" in torch.__version__ or "+git" in torch.__version__:
|
| | torch.__long_version__ = torch.__version__
|
| | torch.__version__ = re.search(r'[\d.]+[\d]', torch.__version__).group(0)
|
| |
|
| | from modules import shared, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks, config_states
|
| | import modules.codeformer_model as codeformer
|
| | import modules.face_restoration
|
| | import modules.gfpgan_model as gfpgan
|
| | import modules.img2img
|
| |
|
| | import modules.lowvram
|
| | import modules.scripts
|
| | import modules.sd_hijack
|
| | import modules.sd_hijack_optimizations
|
| | import modules.sd_models
|
| | import modules.sd_vae
|
| | import modules.sd_unet
|
| | import modules.txt2img
|
| | import modules.script_callbacks
|
| | import modules.textual_inversion.textual_inversion
|
| | import modules.progress
|
| |
|
| | import modules.ui
|
| | from modules import modelloader
|
| | from modules.shared import cmd_opts
|
| | import modules.hypernetworks.hypernetwork
|
| |
|
| | startup_timer.record("other imports")
|
| |
|
| |
|
| | if cmd_opts.server_name:
|
| | server_name = cmd_opts.server_name
|
| | else:
|
| | server_name = "0.0.0.0" if cmd_opts.listen else None
|
| |
|
| |
|
| | def fix_asyncio_event_loop_policy():
|
| | """
|
| | The default `asyncio` event loop policy only automatically creates
|
| | event loops in the main threads. Other threads must create event
|
| | loops explicitly or `asyncio.get_event_loop` (and therefore
|
| | `.IOLoop.current`) will fail. Installing this policy allows event
|
| | loops to be created automatically on any thread, matching the
|
| | behavior of Tornado versions prior to 5.0 (or 5.0 on Python 2).
|
| | """
|
| |
|
| | import asyncio
|
| |
|
| | if sys.platform == "win32" and hasattr(asyncio, "WindowsSelectorEventLoopPolicy"):
|
| |
|
| |
|
| | _BasePolicy = asyncio.WindowsSelectorEventLoopPolicy
|
| | else:
|
| | _BasePolicy = asyncio.DefaultEventLoopPolicy
|
| |
|
| | class AnyThreadEventLoopPolicy(_BasePolicy):
|
| | """Event loop policy that allows loop creation on any thread.
|
| | Usage::
|
| |
|
| | asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
|
| | """
|
| |
|
| | def get_event_loop(self) -> asyncio.AbstractEventLoop:
|
| | try:
|
| | return super().get_event_loop()
|
| | except (RuntimeError, AssertionError):
|
| |
|
| |
|
| |
|
| | loop = self.new_event_loop()
|
| | self.set_event_loop(loop)
|
| | return loop
|
| |
|
| | asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
|
| |
|
| |
|
| | def check_versions():
|
| | if shared.cmd_opts.skip_version_check:
|
| | return
|
| |
|
| | expected_torch_version = "2.0.0"
|
| |
|
| | if version.parse(torch.__version__) < version.parse(expected_torch_version):
|
| | errors.print_error_explanation(f"""
|
| | You are running torch {torch.__version__}.
|
| | The program is tested to work with torch {expected_torch_version}.
|
| | To reinstall the desired version, run with commandline flag --reinstall-torch.
|
| | Beware that this will cause a lot of large files to be downloaded, as well as
|
| | there are reports of issues with training tab on the latest version.
|
| |
|
| | Use --skip-version-check commandline argument to disable this check.
|
| | """.strip())
|
| |
|
| | expected_xformers_version = "0.0.20"
|
| | if shared.xformers_available:
|
| | import xformers
|
| |
|
| | if version.parse(xformers.__version__) < version.parse(expected_xformers_version):
|
| | errors.print_error_explanation(f"""
|
| | You are running xformers {xformers.__version__}.
|
| | The program is tested to work with xformers {expected_xformers_version}.
|
| | To reinstall the desired version, run with commandline flag --reinstall-xformers.
|
| |
|
| | Use --skip-version-check commandline argument to disable this check.
|
| | """.strip())
|
| |
|
| |
|
| | def restore_config_state_file():
|
| | config_state_file = shared.opts.restore_config_state_file
|
| | if config_state_file == "":
|
| | return
|
| |
|
| | shared.opts.restore_config_state_file = ""
|
| | shared.opts.save(shared.config_filename)
|
| |
|
| | if os.path.isfile(config_state_file):
|
| | print(f"*** About to restore extension state from file: {config_state_file}")
|
| | with open(config_state_file, "r", encoding="utf-8") as f:
|
| | config_state = json.load(f)
|
| | config_states.restore_extension_config(config_state)
|
| | startup_timer.record("restore extension config")
|
| | elif config_state_file:
|
| | print(f"!!! Config state backup not found: {config_state_file}")
|
| |
|
| |
|
| | def validate_tls_options():
|
| | if not (cmd_opts.tls_keyfile and cmd_opts.tls_certfile):
|
| | return
|
| |
|
| | try:
|
| | if not os.path.exists(cmd_opts.tls_keyfile):
|
| | print("Invalid path to TLS keyfile given")
|
| | if not os.path.exists(cmd_opts.tls_certfile):
|
| | print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
|
| | except TypeError:
|
| | cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
|
| | print("TLS setup invalid, running webui without TLS")
|
| | else:
|
| | print("Running with TLS")
|
| | startup_timer.record("TLS")
|
| |
|
| |
|
| | def get_gradio_auth_creds() -> Iterable[tuple[str, ...]]:
|
| | """
|
| | Convert the gradio_auth and gradio_auth_path commandline arguments into
|
| | an iterable of (username, password) tuples.
|
| | """
|
| | def process_credential_line(s) -> tuple[str, ...] | None:
|
| | s = s.strip()
|
| | if not s:
|
| | return None
|
| | return tuple(s.split(':', 1))
|
| |
|
| | if cmd_opts.gradio_auth:
|
| | for cred in cmd_opts.gradio_auth.split(','):
|
| | cred = process_credential_line(cred)
|
| | if cred:
|
| | yield cred
|
| |
|
| | if cmd_opts.gradio_auth_path:
|
| | with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file:
|
| | for line in file.readlines():
|
| | for cred in line.strip().split(','):
|
| | cred = process_credential_line(cred)
|
| | if cred:
|
| | yield cred
|
| |
|
| |
|
| | def configure_sigint_handler():
|
| |
|
| | def sigint_handler(sig, frame):
|
| | print(f'Interrupted with signal {sig} in {frame}')
|
| | os._exit(0)
|
| |
|
| | if not os.environ.get("COVERAGE_RUN"):
|
| |
|
| |
|
| | signal.signal(signal.SIGINT, sigint_handler)
|
| |
|
| |
|
| | def configure_opts_onchange():
|
| | shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
|
| | shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
|
| | shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
|
| | shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
|
| | shared.opts.onchange("gradio_theme", shared.reload_gradio_theme)
|
| | shared.opts.onchange("cross_attention_optimization", wrap_queued_call(lambda: modules.sd_hijack.model_hijack.redo_hijack(shared.sd_model)), call=False)
|
| | startup_timer.record("opts onchange")
|
| |
|
| |
|
| | def initialize():
|
| | fix_asyncio_event_loop_policy()
|
| | validate_tls_options()
|
| | configure_sigint_handler()
|
| | check_versions()
|
| | modelloader.cleanup_models()
|
| | configure_opts_onchange()
|
| |
|
| | modules.sd_models.setup_model()
|
| | startup_timer.record("setup SD model")
|
| |
|
| | codeformer.setup_model(cmd_opts.codeformer_models_path)
|
| | startup_timer.record("setup codeformer")
|
| |
|
| | gfpgan.setup_model(cmd_opts.gfpgan_models_path)
|
| | startup_timer.record("setup gfpgan")
|
| |
|
| | initialize_rest(reload_script_modules=False)
|
| |
|
| |
|
| | def initialize_rest(*, reload_script_modules=False):
|
| | """
|
| | Called both from initialize() and when reloading the webui.
|
| | """
|
| | sd_samplers.set_samplers()
|
| | extensions.list_extensions()
|
| | startup_timer.record("list extensions")
|
| |
|
| | restore_config_state_file()
|
| |
|
| | if cmd_opts.ui_debug_mode:
|
| | shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
|
| | modules.scripts.load_scripts()
|
| | return
|
| |
|
| | modules.sd_models.list_models()
|
| | startup_timer.record("list SD models")
|
| |
|
| | localization.list_localizations(cmd_opts.localizations_dir)
|
| |
|
| | with startup_timer.subcategory("load scripts"):
|
| | modules.scripts.load_scripts()
|
| |
|
| | if reload_script_modules:
|
| | for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
|
| | importlib.reload(module)
|
| | startup_timer.record("reload script modules")
|
| |
|
| | modelloader.load_upscalers()
|
| | startup_timer.record("load upscalers")
|
| |
|
| | modules.sd_vae.refresh_vae_list()
|
| | startup_timer.record("refresh VAE")
|
| | modules.textual_inversion.textual_inversion.list_textual_inversion_templates()
|
| | startup_timer.record("refresh textual inversion templates")
|
| |
|
| | modules.script_callbacks.on_list_optimizers(modules.sd_hijack_optimizations.list_optimizers)
|
| | modules.sd_hijack.list_optimizers()
|
| | startup_timer.record("scripts list_optimizers")
|
| |
|
| | modules.sd_unet.list_unets()
|
| | startup_timer.record("scripts list_unets")
|
| |
|
| | def load_model():
|
| | """
|
| | Accesses shared.sd_model property to load model.
|
| | After it's available, if it has been loaded before this access by some extension,
|
| | its optimization may be None because the list of optimizaers has neet been filled
|
| | by that time, so we apply optimization again.
|
| | """
|
| |
|
| | shared.sd_model
|
| |
|
| | if modules.sd_hijack.current_optimizer is None:
|
| | modules.sd_hijack.apply_optimizations()
|
| |
|
| | Thread(target=load_model).start()
|
| |
|
| | Thread(target=devices.first_time_calculation).start()
|
| |
|
| | shared.reload_hypernetworks()
|
| | startup_timer.record("reload hypernetworks")
|
| |
|
| | ui_extra_networks.initialize()
|
| | ui_extra_networks.register_default_pages()
|
| |
|
| | extra_networks.initialize()
|
| | extra_networks.register_default_extra_networks()
|
| | startup_timer.record("initialize extra networks")
|
| |
|
| |
|
| | def setup_middleware(app):
|
| | app.middleware_stack = None
|
| | app.add_middleware(GZipMiddleware, minimum_size=1000)
|
| | configure_cors_middleware(app)
|
| | app.build_middleware_stack()
|
| |
|
| |
|
| | def configure_cors_middleware(app):
|
| | cors_options = {
|
| | "allow_methods": ["*"],
|
| | "allow_headers": ["*"],
|
| | "allow_credentials": True,
|
| | }
|
| | if cmd_opts.cors_allow_origins:
|
| | cors_options["allow_origins"] = cmd_opts.cors_allow_origins.split(',')
|
| | if cmd_opts.cors_allow_origins_regex:
|
| | cors_options["allow_origin_regex"] = cmd_opts.cors_allow_origins_regex
|
| | app.add_middleware(CORSMiddleware, **cors_options)
|
| |
|
| |
|
| | def create_api(app):
|
| | from modules.api.api import Api
|
| | api = Api(app, queue_lock)
|
| | return api
|
| |
|
| |
|
| | def api_only():
|
| | initialize()
|
| |
|
| | app = FastAPI()
|
| | setup_middleware(app)
|
| | api = create_api(app)
|
| |
|
| | modules.script_callbacks.app_started_callback(None, app)
|
| |
|
| | print(f"Startup time: {startup_timer.summary()}.")
|
| | api.launch(server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861)
|
| |
|
| |
|
| | def stop_route(request):
|
| | shared.state.server_command = "stop"
|
| | return Response("Stopping.")
|
| |
|
| |
|
| | def webui():
|
| | launch_api = cmd_opts.api
|
| | initialize()
|
| |
|
| | while 1:
|
| | if shared.opts.clean_temp_dir_at_start:
|
| | ui_tempdir.cleanup_tmpdr()
|
| | startup_timer.record("cleanup temp dir")
|
| |
|
| | modules.script_callbacks.before_ui_callback()
|
| | startup_timer.record("scripts before_ui_callback")
|
| |
|
| | shared.demo = modules.ui.create_ui()
|
| | startup_timer.record("create ui")
|
| |
|
| | if not cmd_opts.no_gradio_queue:
|
| | shared.demo.queue(64)
|
| |
|
| | gradio_auth_creds = list(get_gradio_auth_creds()) or None
|
| |
|
| | app, local_url, share_url = shared.demo.launch(
|
| | share=cmd_opts.share,
|
| | server_name=server_name,
|
| | server_port=cmd_opts.port,
|
| | ssl_keyfile=cmd_opts.tls_keyfile,
|
| | ssl_certfile=cmd_opts.tls_certfile,
|
| | ssl_verify=cmd_opts.disable_tls_verify,
|
| | debug=cmd_opts.gradio_debug,
|
| | auth=gradio_auth_creds,
|
| | inbrowser=cmd_opts.autolaunch and os.getenv('SD_WEBUI_RESTARTING ') != '1',
|
| | prevent_thread_lock=True,
|
| | allowed_paths=cmd_opts.gradio_allowed_path,
|
| | app_kwargs={
|
| | "docs_url": "/docs",
|
| | "redoc_url": "/redoc",
|
| | },
|
| | )
|
| | if cmd_opts.add_stop_route:
|
| | app.add_route("/_stop", stop_route, methods=["POST"])
|
| |
|
| |
|
| | cmd_opts.autolaunch = False
|
| |
|
| | startup_timer.record("gradio launch")
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
|
| |
|
| | setup_middleware(app)
|
| |
|
| | modules.progress.setup_progress_api(app)
|
| | modules.ui.setup_ui_api(app)
|
| |
|
| | if launch_api:
|
| | create_api(app)
|
| |
|
| | ui_extra_networks.add_pages_to_demo(app)
|
| |
|
| | startup_timer.record("add APIs")
|
| |
|
| | with startup_timer.subcategory("app_started_callback"):
|
| | modules.script_callbacks.app_started_callback(shared.demo, app)
|
| |
|
| | timer.startup_record = startup_timer.dump()
|
| | print(f"Startup time: {startup_timer.summary()}.")
|
| |
|
| | if cmd_opts.subpath:
|
| | redirector = FastAPI()
|
| | redirector.get("/")
|
| | gradio.mount_gradio_app(redirector, shared.demo, path=f"/{cmd_opts.subpath}")
|
| |
|
| | try:
|
| | while True:
|
| | server_command = shared.state.wait_for_server_command(timeout=5)
|
| | if server_command:
|
| | if server_command in ("stop", "restart"):
|
| | break
|
| | else:
|
| | print(f"Unknown server command: {server_command}")
|
| | except KeyboardInterrupt:
|
| | print('Caught KeyboardInterrupt, stopping...')
|
| | server_command = "stop"
|
| |
|
| | if server_command == "stop":
|
| | print("Stopping server...")
|
| |
|
| | shared.demo.close()
|
| | break
|
| |
|
| | print('Restarting UI...')
|
| | shared.demo.close()
|
| | time.sleep(0.5)
|
| | startup_timer.reset()
|
| | modules.script_callbacks.app_reload_callback()
|
| | startup_timer.record("app reload callback")
|
| | modules.script_callbacks.script_unloaded_callback()
|
| | startup_timer.record("scripts unloaded callback")
|
| | initialize_rest(reload_script_modules=True)
|
| |
|
| |
|
| | if __name__ == "__main__":
|
| | if cmd_opts.nowebui:
|
| | api_only()
|
| | else:
|
| | webui()
|
| |
|