483 lines
17 KiB
Python
483 lines
17 KiB
Python
from __future__ import annotations
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import os
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import sys
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import time
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import importlib
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import signal
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import re
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import warnings
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import json
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from threading import Thread
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from typing import Iterable
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.middleware.gzip import GZipMiddleware
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from packaging import version
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import logging
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# We can't use cmd_opts for this because it will not have been initialized at this point.
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log_level = os.environ.get("SD_WEBUI_LOG_LEVEL")
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if log_level:
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log_level = getattr(logging, log_level.upper(), None) or logging.INFO
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logging.basicConfig(
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level=log_level,
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format='%(asctime)s %(levelname)s [%(name)s] %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S',
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)
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logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR) # sshh...
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logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
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from modules import timer
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startup_timer = timer.startup_timer
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startup_timer.record("launcher")
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import torch
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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
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warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
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warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
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startup_timer.record("import torch")
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import gradio # noqa: F401
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startup_timer.record("import gradio")
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from modules import paths, timer, import_hook, errors, devices # noqa: F401
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startup_timer.record("setup paths")
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import ldm.modules.encoders.modules # noqa: F401
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startup_timer.record("import ldm")
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from modules import extra_networks
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from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, queue_lock # noqa: F401
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# Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors
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if ".dev" in torch.__version__ or "+git" in torch.__version__:
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torch.__long_version__ = torch.__version__
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torch.__version__ = re.search(r'[\d.]+[\d]', torch.__version__).group(0)
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from modules import shared, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks, config_states
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import modules.codeformer_model as codeformer
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import modules.face_restoration
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import modules.gfpgan_model as gfpgan
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import modules.img2img
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import modules.lowvram
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import modules.scripts
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import modules.sd_hijack
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import modules.sd_hijack_optimizations
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import modules.sd_models
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import modules.sd_vae
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import modules.sd_unet
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import modules.txt2img
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import modules.script_callbacks
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import modules.textual_inversion.textual_inversion
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import modules.progress
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import modules.ui
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from modules import modelloader
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from modules.shared import cmd_opts
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import modules.hypernetworks.hypernetwork
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startup_timer.record("other imports")
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if cmd_opts.server_name:
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server_name = cmd_opts.server_name
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else:
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server_name = "0.0.0.0" if cmd_opts.listen else None
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def fix_asyncio_event_loop_policy():
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"""
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The default `asyncio` event loop policy only automatically creates
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event loops in the main threads. Other threads must create event
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loops explicitly or `asyncio.get_event_loop` (and therefore
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`.IOLoop.current`) will fail. Installing this policy allows event
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loops to be created automatically on any thread, matching the
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behavior of Tornado versions prior to 5.0 (or 5.0 on Python 2).
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"""
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import asyncio
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if sys.platform == "win32" and hasattr(asyncio, "WindowsSelectorEventLoopPolicy"):
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# "Any thread" and "selector" should be orthogonal, but there's not a clean
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# interface for composing policies so pick the right base.
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_BasePolicy = asyncio.WindowsSelectorEventLoopPolicy # type: ignore
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else:
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_BasePolicy = asyncio.DefaultEventLoopPolicy
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class AnyThreadEventLoopPolicy(_BasePolicy): # type: ignore
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"""Event loop policy that allows loop creation on any thread.
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Usage::
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asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
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"""
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def get_event_loop(self) -> asyncio.AbstractEventLoop:
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try:
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return super().get_event_loop()
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except (RuntimeError, AssertionError):
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# This was an AssertionError in python 3.4.2 (which ships with debian jessie)
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# and changed to a RuntimeError in 3.4.3.
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# "There is no current event loop in thread %r"
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loop = self.new_event_loop()
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self.set_event_loop(loop)
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return loop
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asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
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def check_versions():
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if shared.cmd_opts.skip_version_check:
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return
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expected_torch_version = "2.0.0"
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if version.parse(torch.__version__) < version.parse(expected_torch_version):
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errors.print_error_explanation(f"""
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You are running torch {torch.__version__}.
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The program is tested to work with torch {expected_torch_version}.
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To reinstall the desired version, run with commandline flag --reinstall-torch.
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Beware that this will cause a lot of large files to be downloaded, as well as
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there are reports of issues with training tab on the latest version.
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Use --skip-version-check commandline argument to disable this check.
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""".strip())
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expected_xformers_version = "0.0.20"
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if shared.xformers_available:
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import xformers
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if version.parse(xformers.__version__) < version.parse(expected_xformers_version):
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errors.print_error_explanation(f"""
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You are running xformers {xformers.__version__}.
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The program is tested to work with xformers {expected_xformers_version}.
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To reinstall the desired version, run with commandline flag --reinstall-xformers.
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Use --skip-version-check commandline argument to disable this check.
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""".strip())
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def restore_config_state_file():
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config_state_file = shared.opts.restore_config_state_file
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if config_state_file == "":
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return
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shared.opts.restore_config_state_file = ""
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shared.opts.save(shared.config_filename)
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if os.path.isfile(config_state_file):
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print(f"*** About to restore extension state from file: {config_state_file}")
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with open(config_state_file, "r", encoding="utf-8") as f:
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config_state = json.load(f)
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config_states.restore_extension_config(config_state)
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startup_timer.record("restore extension config")
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elif config_state_file:
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print(f"!!! Config state backup not found: {config_state_file}")
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def validate_tls_options():
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if not (cmd_opts.tls_keyfile and cmd_opts.tls_certfile):
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return
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try:
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if not os.path.exists(cmd_opts.tls_keyfile):
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print("Invalid path to TLS keyfile given")
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if not os.path.exists(cmd_opts.tls_certfile):
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print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
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except TypeError:
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cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
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print("TLS setup invalid, running webui without TLS")
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else:
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print("Running with TLS")
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startup_timer.record("TLS")
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def get_gradio_auth_creds() -> Iterable[tuple[str, ...]]:
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"""
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Convert the gradio_auth and gradio_auth_path commandline arguments into
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an iterable of (username, password) tuples.
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"""
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def process_credential_line(s) -> tuple[str, ...] | None:
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s = s.strip()
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if not s:
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return None
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return tuple(s.split(':', 1))
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if cmd_opts.gradio_auth:
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for cred in cmd_opts.gradio_auth.split(','):
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cred = process_credential_line(cred)
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if cred:
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yield cred
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if cmd_opts.gradio_auth_path:
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with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file:
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for line in file.readlines():
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for cred in line.strip().split(','):
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cred = process_credential_line(cred)
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if cred:
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yield cred
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def configure_sigint_handler():
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# make the program just exit at ctrl+c without waiting for anything
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def sigint_handler(sig, frame):
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print(f'Interrupted with signal {sig} in {frame}')
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os._exit(0)
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if not os.environ.get("COVERAGE_RUN"):
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# Don't install the immediate-quit handler when running under coverage,
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# as then the coverage report won't be generated.
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signal.signal(signal.SIGINT, sigint_handler)
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def configure_opts_onchange():
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shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
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shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
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shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
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shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
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shared.opts.onchange("gradio_theme", shared.reload_gradio_theme)
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shared.opts.onchange("cross_attention_optimization", wrap_queued_call(lambda: modules.sd_hijack.model_hijack.redo_hijack(shared.sd_model)), call=False)
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startup_timer.record("opts onchange")
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def initialize():
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fix_asyncio_event_loop_policy()
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validate_tls_options()
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configure_sigint_handler()
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check_versions()
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modelloader.cleanup_models()
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configure_opts_onchange()
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modules.sd_models.setup_model()
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startup_timer.record("setup SD model")
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codeformer.setup_model(cmd_opts.codeformer_models_path)
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startup_timer.record("setup codeformer")
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gfpgan.setup_model(cmd_opts.gfpgan_models_path)
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startup_timer.record("setup gfpgan")
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initialize_rest(reload_script_modules=False)
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def initialize_rest(*, reload_script_modules=False):
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"""
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Called both from initialize() and when reloading the webui.
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"""
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sd_samplers.set_samplers()
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extensions.list_extensions()
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startup_timer.record("list extensions")
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restore_config_state_file()
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if cmd_opts.ui_debug_mode:
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shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
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modules.scripts.load_scripts()
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return
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modules.sd_models.list_models()
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startup_timer.record("list SD models")
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localization.list_localizations(cmd_opts.localizations_dir)
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with startup_timer.subcategory("load scripts"):
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modules.scripts.load_scripts()
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if reload_script_modules:
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for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
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importlib.reload(module)
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startup_timer.record("reload script modules")
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modelloader.load_upscalers()
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startup_timer.record("load upscalers")
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modules.sd_vae.refresh_vae_list()
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startup_timer.record("refresh VAE")
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modules.textual_inversion.textual_inversion.list_textual_inversion_templates()
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startup_timer.record("refresh textual inversion templates")
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modules.script_callbacks.on_list_optimizers(modules.sd_hijack_optimizations.list_optimizers)
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modules.sd_hijack.list_optimizers()
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startup_timer.record("scripts list_optimizers")
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modules.sd_unet.list_unets()
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startup_timer.record("scripts list_unets")
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def load_model():
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"""
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Accesses shared.sd_model property to load model.
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After it's available, if it has been loaded before this access by some extension,
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its optimization may be None because the list of optimizaers has neet been filled
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by that time, so we apply optimization again.
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"""
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shared.sd_model # noqa: B018
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if modules.sd_hijack.current_optimizer is None:
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modules.sd_hijack.apply_optimizations()
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devices.first_time_calculation()
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Thread(target=load_model).start()
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shared.reload_hypernetworks()
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startup_timer.record("reload hypernetworks")
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ui_extra_networks.initialize()
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ui_extra_networks.register_default_pages()
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extra_networks.initialize()
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extra_networks.register_default_extra_networks()
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startup_timer.record("initialize extra networks")
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def setup_middleware(app):
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app.middleware_stack = None # reset current middleware to allow modifying user provided list
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app.add_middleware(GZipMiddleware, minimum_size=1000)
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configure_cors_middleware(app)
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app.build_middleware_stack() # rebuild middleware stack on-the-fly
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def configure_cors_middleware(app):
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cors_options = {
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"allow_methods": ["*"],
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"allow_headers": ["*"],
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"allow_credentials": True,
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}
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if cmd_opts.cors_allow_origins:
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cors_options["allow_origins"] = cmd_opts.cors_allow_origins.split(',')
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if cmd_opts.cors_allow_origins_regex:
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cors_options["allow_origin_regex"] = cmd_opts.cors_allow_origins_regex
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app.add_middleware(CORSMiddleware, **cors_options)
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def create_api(app):
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from modules.api.api import Api
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api = Api(app, queue_lock)
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return api
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def api_only():
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initialize()
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app = FastAPI()
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setup_middleware(app)
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api = create_api(app)
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modules.script_callbacks.app_started_callback(None, app)
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print(f"Startup time: {startup_timer.summary()}.")
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api.launch(
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server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1",
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port=cmd_opts.port if cmd_opts.port else 7861,
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root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else ""
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)
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def webui():
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launch_api = cmd_opts.api
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initialize()
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while 1:
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if shared.opts.clean_temp_dir_at_start:
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ui_tempdir.cleanup_tmpdr()
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startup_timer.record("cleanup temp dir")
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modules.script_callbacks.before_ui_callback()
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startup_timer.record("scripts before_ui_callback")
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shared.demo = modules.ui.create_ui()
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startup_timer.record("create ui")
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if not cmd_opts.no_gradio_queue:
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shared.demo.queue(64)
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gradio_auth_creds = list(get_gradio_auth_creds()) or None
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app, local_url, share_url = shared.demo.launch(
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share=cmd_opts.share,
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server_name=server_name,
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server_port=cmd_opts.port,
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ssl_keyfile=cmd_opts.tls_keyfile,
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ssl_certfile=cmd_opts.tls_certfile,
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ssl_verify=cmd_opts.disable_tls_verify,
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debug=cmd_opts.gradio_debug,
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auth=gradio_auth_creds,
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inbrowser=cmd_opts.autolaunch and os.getenv('SD_WEBUI_RESTARTING') != '1',
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prevent_thread_lock=True,
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allowed_paths=cmd_opts.gradio_allowed_path,
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app_kwargs={
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"docs_url": "/docs",
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"redoc_url": "/redoc",
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},
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root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else "",
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)
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# after initial launch, disable --autolaunch for subsequent restarts
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cmd_opts.autolaunch = False
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startup_timer.record("gradio launch")
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# gradio uses a very open CORS policy via app.user_middleware, which makes it possible for
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# an attacker to trick the user into opening a malicious HTML page, which makes a request to the
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# running web ui and do whatever the attacker wants, including installing an extension and
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# running its code. We disable this here. Suggested by RyotaK.
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app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
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setup_middleware(app)
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modules.progress.setup_progress_api(app)
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modules.ui.setup_ui_api(app)
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if launch_api:
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create_api(app)
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ui_extra_networks.add_pages_to_demo(app)
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startup_timer.record("add APIs")
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with startup_timer.subcategory("app_started_callback"):
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modules.script_callbacks.app_started_callback(shared.demo, app)
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timer.startup_record = startup_timer.dump()
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print(f"Startup time: {startup_timer.summary()}.")
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try:
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while True:
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server_command = shared.state.wait_for_server_command(timeout=5)
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if server_command:
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if server_command in ("stop", "restart"):
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break
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else:
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print(f"Unknown server command: {server_command}")
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except KeyboardInterrupt:
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print('Caught KeyboardInterrupt, stopping...')
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server_command = "stop"
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if server_command == "stop":
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print("Stopping server...")
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# If we catch a keyboard interrupt, we want to stop the server and exit.
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shared.demo.close()
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break
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print('Restarting UI...')
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shared.demo.close()
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time.sleep(0.5)
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startup_timer.reset()
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modules.script_callbacks.app_reload_callback()
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startup_timer.record("app reload callback")
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modules.script_callbacks.script_unloaded_callback()
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startup_timer.record("scripts unloaded callback")
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initialize_rest(reload_script_modules=True)
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if __name__ == "__main__":
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if cmd_opts.nowebui:
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api_only()
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else:
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webui()
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