471 lines
17 KiB
Python
471 lines
17 KiB
Python
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
|
|
|
|
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 # noqa: F401
|
|
|
|
startup_timer = timer.startup_timer
|
|
|
|
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
|
|
startup_timer.record("import gradio")
|
|
|
|
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)
|
|
|
|
|
|
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",
|
|
},
|
|
)
|
|
|
|
# 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()}.")
|
|
|
|
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...")
|
|
# 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()
|