343 lines
13 KiB
Python
343 lines
13 KiB
Python
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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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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logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
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from modules import paths, timer, import_hook, errors
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startup_timer = timer.Timer()
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import torch
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import pytorch_lightning # 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
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startup_timer.record("import gradio")
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import ldm.modules.encoders.modules
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startup_timer.record("import ldm")
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from modules import extra_networks, ui_extra_networks_checkpoints
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from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion
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from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
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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, devices, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks
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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_models
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import modules.sd_vae
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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 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 = "1.13.1"
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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 = "0.0.16rc425"
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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 initialize():
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check_versions()
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extensions.list_extensions()
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localization.list_localizations(cmd_opts.localizations_dir)
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startup_timer.record("list extensions")
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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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modelloader.cleanup_models()
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modules.sd_models.setup_model()
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startup_timer.record("list SD models")
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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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modelloader.list_builtin_upscalers()
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startup_timer.record("list builtin upscalers")
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modules.scripts.load_scripts()
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startup_timer.record("load scripts")
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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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try:
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modules.sd_models.load_model()
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except Exception as e:
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errors.display(e, "loading stable diffusion model")
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print("", file=sys.stderr)
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print("Stable diffusion model failed to load, exiting", file=sys.stderr)
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exit(1)
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startup_timer.record("load SD checkpoint")
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shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title
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shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
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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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startup_timer.record("opts onchange")
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shared.reload_hypernetworks()
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startup_timer.record("reload hypernets")
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ui_extra_networks.intialize()
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ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
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ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
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ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
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extra_networks.initialize()
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extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
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startup_timer.record("extra networks")
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if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None:
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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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# 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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signal.signal(signal.SIGINT, sigint_handler)
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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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if cmd_opts.cors_allow_origins and cmd_opts.cors_allow_origins_regex:
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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=['*'])
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elif cmd_opts.cors_allow_origins:
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app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
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elif cmd_opts.cors_allow_origins_regex:
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app.add_middleware(CORSMiddleware, allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
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app.build_middleware_stack() # rebuild middleware stack on-the-fly
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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 wait_on_server(demo=None):
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while 1:
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time.sleep(0.5)
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if shared.state.need_restart:
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shared.state.need_restart = False
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time.sleep(0.5)
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demo.close()
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time.sleep(0.5)
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break
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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(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)
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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 = []
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if cmd_opts.gradio_auth:
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gradio_auth_creds += [x.strip() for x in cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',') if x.strip()]
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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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gradio_auth_creds += [x.strip() for x in line.split(',') if x.strip()]
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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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debug=cmd_opts.gradio_debug,
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auth=[tuple(cred.split(':')) for cred in gradio_auth_creds] if gradio_auth_creds else None,
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inbrowser=cmd_opts.autolaunch,
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prevent_thread_lock=True
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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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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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modules.script_callbacks.app_started_callback(shared.demo, app)
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startup_timer.record("scripts app_started_callback")
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print(f"Startup time: {startup_timer.summary()}.")
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wait_on_server(shared.demo)
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print('Restarting UI...')
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startup_timer.reset()
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sd_samplers.set_samplers()
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modules.script_callbacks.script_unloaded_callback()
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extensions.list_extensions()
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startup_timer.record("list extensions")
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localization.list_localizations(cmd_opts.localizations_dir)
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modelloader.forbid_loaded_nonbuiltin_upscalers()
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modules.scripts.reload_scripts()
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startup_timer.record("load scripts")
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modules.script_callbacks.model_loaded_callback(shared.sd_model)
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startup_timer.record("model loaded callback")
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modelloader.load_upscalers()
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startup_timer.record("load upscalers")
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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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modules.sd_models.list_models()
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startup_timer.record("list SD models")
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shared.reload_hypernetworks()
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startup_timer.record("reload hypernetworks")
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ui_extra_networks.intialize()
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ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
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ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
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ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
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extra_networks.initialize()
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extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
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startup_timer.record("initialize extra networks")
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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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