| | 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() |
| |
|
| | shared.demo = modules.ui.create_ui() |
| |
|
| | app, local_url, share_url = shared.demo.launch( |
| | height=3000, |
| | prevent_thread_lock=True |
| | ) |
| | |
| | |
| | |
| | |
| | |
| | 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() |
| |
|