import os import sys import time import importlib import signal import re import warnings import json from fastapi import FastAPI 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 startup_timer = timer.Timer() import torch import pytorch_lightning # 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") 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, ui_extra_networks_checkpoints from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call # 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, devices, 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_models import modules.sd_vae 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 check_versions(): if shared.cmd_opts.skip_version_check: return expected_torch_version = "1.13.1" 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 = "0.0.16rc425" 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 initialize(): check_versions() extensions.list_extensions() localization.list_localizations(cmd_opts.localizations_dir) startup_timer.record("list extensions") config_state_file = shared.opts.restore_config_state_file 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") else: print(f"!!! Config state backup not found: {config_state_file}") if cmd_opts.ui_debug_mode: shared.sd_upscalers = upscaler.UpscalerLanczos().scalers modules.scripts.load_scripts() return modelloader.cleanup_models() modules.sd_models.setup_model() startup_timer.record("list SD models") 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") modelloader.list_builtin_upscalers() startup_timer.record("list builtin upscalers") modules.scripts.load_scripts() startup_timer.record("load scripts") 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") try: modules.sd_models.load_model() except Exception as e: errors.display(e, "loading stable diffusion model") print("", file=sys.stderr) print("Stable diffusion model failed to load, exiting", file=sys.stderr) exit(1) startup_timer.record("load SD checkpoint") shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights())) 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) startup_timer.record("opts onchange") shared.reload_hypernetworks() startup_timer.record("reload hypernets") ui_extra_networks.intialize() ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion()) ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks()) ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints()) extra_networks.initialize() extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet()) startup_timer.record("extra networks") if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None: 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") # 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) signal.signal(signal.SIGINT, sigint_handler) def setup_middleware(app): app.middleware_stack = None # reset current middleware to allow modifying user provided list app.add_middleware(GZipMiddleware, minimum_size=1000) if cmd_opts.cors_allow_origins and cmd_opts.cors_allow_origins_regex: app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*']) elif cmd_opts.cors_allow_origins: app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'], allow_credentials=True, allow_headers=['*']) elif cmd_opts.cors_allow_origins_regex: app.add_middleware(CORSMiddleware, allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*']) app.build_middleware_stack() # rebuild middleware stack on-the-fly def create_api(app): from modules.api.api import Api api = Api(app, queue_lock) return api def wait_on_server(demo=None): while 1: time.sleep(0.5) if shared.state.need_restart: shared.state.need_restart = False time.sleep(0.5) demo.close() time.sleep(0.5) break 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 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 = [] if cmd_opts.gradio_auth: gradio_auth_creds += [x.strip() for x in cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',') if x.strip()] if cmd_opts.gradio_auth_path: with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file: for line in file.readlines(): gradio_auth_creds += [x.strip() for x in line.split(',') if x.strip()] 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, debug=cmd_opts.gradio_debug, auth=[tuple(cred.split(':')) for cred in gradio_auth_creds] if gradio_auth_creds else None, inbrowser=cmd_opts.autolaunch, prevent_thread_lock=True ) # 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) if launch_api: create_api(app) ui_extra_networks.add_pages_to_demo(app) modules.script_callbacks.app_started_callback(shared.demo, app) startup_timer.record("scripts app_started_callback") print(f"Startup time: {startup_timer.summary()}.") wait_on_server(shared.demo) print('Restarting UI...') startup_timer.reset() sd_samplers.set_samplers() modules.script_callbacks.script_unloaded_callback() extensions.list_extensions() startup_timer.record("list extensions") config_state_file = shared.opts.restore_config_state_file 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") else: print(f"!!! Config state backup not found: {config_state_file}") localization.list_localizations(cmd_opts.localizations_dir) modelloader.forbid_loaded_nonbuiltin_upscalers() modules.scripts.reload_scripts() startup_timer.record("load scripts") modules.script_callbacks.model_loaded_callback(shared.sd_model) startup_timer.record("model loaded callback") modelloader.load_upscalers() startup_timer.record("load upscalers") 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") modules.sd_models.list_models() startup_timer.record("list SD models") shared.reload_hypernetworks() startup_timer.record("reload hypernetworks") ui_extra_networks.intialize() ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion()) ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks()) ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints()) extra_networks.initialize() extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet()) startup_timer.record("initialize extra networks") if __name__ == "__main__": if cmd_opts.nowebui: api_only() else: webui()