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 from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.gzip import GZipMiddleware from packaging import version import logging # We can't use cmd_opts for this because it will not have been initialized at this point. log_level = os.environ.get("SD_WEBUI_LOG_LEVEL") if log_level: log_level = getattr(logging, log_level.upper(), None) or logging.INFO logging.basicConfig( level=log_level, format='%(asctime)s %(levelname)s [%(name)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S', ) logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR) # sshh... logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage()) from modules import timer startup_timer = timer.startup_timer startup_timer.record("launcher") import torch import pytorch_lightning # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning") warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision") startup_timer.record("import torch") import gradio # noqa: F401 startup_timer.record("import gradio") from modules import paths, timer, import_hook, errors, devices # noqa: F401 startup_timer.record("setup paths") import ldm.modules.encoders.modules # noqa: F401 startup_timer.record("import ldm") from modules import extra_networks from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, queue_lock # noqa: F401 # Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors 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"): # "Any thread" and "selector" should be orthogonal, but there's not a clean # interface for composing policies so pick the right base. _BasePolicy = asyncio.WindowsSelectorEventLoopPolicy # type: ignore else: _BasePolicy = asyncio.DefaultEventLoopPolicy class AnyThreadEventLoopPolicy(_BasePolicy): # type: ignore """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): # This was an AssertionError in python 3.4.2 (which ships with debian jessie) # and changed to a RuntimeError in 3.4.3. # "There is no current event loop in thread %r" 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(): # make the program just exit at ctrl+c without waiting for anything def sigint_handler(sig, frame): print(f'Interrupted with signal {sig} in {frame}') os._exit(0) if not os.environ.get("COVERAGE_RUN"): # Don't install the immediate-quit handler when running under coverage, # as then the coverage report won't be generated. 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 # noqa: B018 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 # reset current middleware to allow modifying user provided list app.add_middleware(GZipMiddleware, minimum_size=1000) configure_cors_middleware(app) app.build_middleware_stack() # rebuild middleware stack on-the-fly 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, root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else "" ) 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(concurrency_count=16) else: print('Server queues disabled') shared.demo.progress_tracking = False 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", }, root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else "", ) # after initial launch, disable --autolaunch for subsequent restarts cmd_opts.autolaunch = False startup_timer.record("gradio launch") # gradio uses a very open CORS policy via app.user_middleware, which makes it possible for # an attacker to trick the user into opening a malicious HTML page, which makes a request to the # running web ui and do whatever the attacker wants, including installing an extension and # running its code. We disable this here. Suggested by RyotaK. 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()}.") 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...") # If we catch a keyboard interrupt, we want to stop the server and exit. 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()