Update app.py

app.py

@@ -1,7 +1,345 @@
-import gradio as gr
+# import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# def greet(name):
+#     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
+import os
+import sys
+import time
+import importlib
+import signal
+import re
+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
+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
+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 check_versions():
+    if shared.cmd_opts.skip_version_check:
+        return
+
+    expected_torch_version = "1.13.1"
+
+    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 = "0.0.16rc425"
+    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():
+    check_versions()
+
+    extensions.list_extensions()
+    localization.list_localizations(cmd_opts.localizations_dir)
+    startup_timer.record("list extensions")
+
+    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")
+
+    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")
+
+    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)
+    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)
+            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 cmd_opts.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,
+            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")
+
+        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()