stable-diffusion-webui/webui.py
2023-04-29 20:29:23 +03:00

414 lines
16 KiB
Python

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")
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, 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 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 = "0.0.17"
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():
fix_asyncio_event_loop_policy()
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")
elif config_state_file:
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")
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)
shared.opts.onchange("gradio_theme", shared.reload_gradio_theme)
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)
modules.script_callbacks.app_reload_callback()
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,
ssl_verify=cmd_opts.disable_tls_verify,
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")
elif config_state_file:
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()