init

.gitignore

@@ -0,0 +1,2 @@
+*.safetensors
+*.log

Dockerfile

@@ -0,0 +1,22 @@
+FROM chilloutai/stable-diffusion:1.0.0
+
+SHELL ["/bin/bash", "-c"]
+
+ENV PATH="${PATH}:/workspace/stable-diffusion-webui/venv/bin"
+
+WORKDIR /
+
+ADD model.safetensors /
+
+RUN pip install -U xformers
+RUN pip install runpod
+
+ADD koreanDollLikeness_v15.safetensors /workspace/stable-diffusion-webui/models/Lora/koreanDollLikeness_v15.safetensors
+ADD japaneseDollLikeness_v10.safetensors /workspace/stable-diffusion-webui/models/Lora/japaneseDollLikeness_v10.safetensors
+ADD taiwanDollLikeness_v10.safetensors /workspace/stable-diffusion-webui/models/Lora/taiwanDollLikeness_v10.safetensors
+
+ADD handler.py .
+ADD start.sh /start.sh
+RUN chmod +x /start.sh
+
+CMD [ "/start.sh" ]

README.md

@@ -0,0 +1 @@
+### How to Run Serverless in Runpod

build.sh

@@ -0,0 +1 @@
+DOCKER_BUILDKIT=1 docker build -t chilloutai/auto-api:1.0.0 .

download.sh

@@ -0,0 +1,3 @@
+wget -O koreanDollLikeness_v15.safetensors https://civitai.com/api/download/models/14014
+wget -O japaneseDollLikeness_v10.safetensors https://civitai.com/api/download/models/12050
+wget -O taiwanDollLikeness_v10.safetensors https://civitai.com/api/download/models/9070

handler.py

@@ -0,0 +1,39 @@
+import runpod
+import subprocess
+import requests
+import time
+
+def check_api_availability(host):
+    while True:
+        try:
+            response = requests.get(host)
+            return
+        except requests.exceptions.RequestException as e:
+            print(f"API is not available, retrying in 5s... ({e})")
+        except Exception as e:
+            print('something went wrong')
+        time.sleep(5)
+
+check_api_availability("http://127.0.0.1:3000/sdapi/v1/txt2img")
+
+print('run handler')
+
+def handler(event):
+    '''
+    This is the handler function that will be called by the serverless.
+    '''
+    print('got event')
+    print(event)
+
+    response = requests.post(url=f'http://127.0.0.1:3000/sdapi/v1/txt2img', json=event["input"])
+
+    json = response.json()
+    # do the things
+
+    print(json)
+
+    # return the output that you want to be returned like pre-signed URLs to output artifacts
+    return json
+
+
+runpod.serverless.start({"handler": handler})

runpod_api_test.py

@@ -0,0 +1,47 @@
+import time
+
+import requests
+import base64
+
+runpod_key = ''
+api_name = ''
+
+prompt = '<lora:koreanDollLikeness_v15:0.66>, best quality, ultra high res, (photorealistic:1.4), 1girl, solo focus, ((blue long dress)), elbow dress, black thighhighs, frills, ribbons, studio background, (Kpop idol), (aegyo sal:1), (platinum blonde hair:1), ((puffy eyes)), looking at viewer, facing front, smiling, laughing'
+negative_prompt = 'paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, nsfw, nipples'
+
+
+def generation():
+    res = requests.post(f'https://api.runpod.ai/v1/{api_name}/run', headers={
+        'Content-Type': 'application/json',
+        "Authorization": f"Bearer {runpod_key}"
+    }, json={
+        "input": {"prompt": prompt, "steps": 28, "negative_prompt": negative_prompt, "width": 512, "height": 768, "sampler_index": "DPM++ SDE Karras",
+                  "batch_size": 1, "seed": -1},
+    })
+
+    task_id = res.json()['id']
+
+    while True:
+        res = requests.get(f'https://api.runpod.ai/v1/{api_name}/status/{task_id}', headers={
+            'Content-Type': 'application/json',
+            "Authorization": f"Bearer {runpod_key}"
+        })
+
+        status = res.json()['status']
+        print(status)
+        if status == 'COMPLETED':
+            for imgstring in res.json()['output']['images']:
+                with open(f"test_{time.time()}.png", "wb") as fh:
+                    imgdata = base64.b64decode(imgstring)
+                    fh.write(imgdata)
+            print(res.json())
+            break
+
+        if status == 'FAILED':
+            print(res.json())
+            break
+        time.sleep(10)
+
+
+if __name__ == '__main__':
+    generation()

sd-auto-v1/Dockerfile

@@ -0,0 +1,51 @@
+FROM runpod/stable-diffusion-models:1.5 as build
+
+FROM ubuntu:22.04 AS runtime
+
+RUN rm -rf /root/.cache/pip
+
+RUN mkdir -p /root/.cache/huggingface
+
+ENV DEBIAN_FRONTEND noninteractive
+
+RUN apt update && \ 
+apt install -y  --no-install-recommends \
+software-properties-common \
+git \
+openssh-server \
+libglib2.0-0 \
+libsm6 \
+libxrender1 \
+libxext6 \
+ffmpeg \
+wget \
+curl \
+python3-pip python3 python3.10-venv \
+apt-transport-https ca-certificates && \
+update-ca-certificates
+
+WORKDIR /workspace
+
+RUN git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
+
+WORKDIR /workspace/stable-diffusion-webui
+ADD webui.py /workspace/stable-diffusion-webui/webui.py
+RUN python3 -m venv /workspace/stable-diffusion-webui/venv
+ENV PATH="/workspace/stable-diffusion-webui/venv/bin:$PATH"
+
+RUN pip install -U jupyterlab ipywidgets jupyter-archive
+RUN jupyter nbextension enable --py widgetsnbextension
+
+ADD install.py .
+RUN python -m install --skip-torch-cuda-test
+
+RUN apt clean && rm -rf /var/lib/apt/lists/* && \
+    echo "en_US.UTF-8 UTF-8" > /etc/locale.gen
+
+ADD relauncher.py .
+ADD webui-user.sh .
+ADD start.sh /start.sh
+RUN chmod a+x /start.sh
+
+SHELL ["/bin/bash", "--login", "-c"]
+CMD [ "/start.sh" ]

sd-auto-v1/build.sh

@@ -0,0 +1 @@
+DOCKER_BUILDKIT=1 docker build -t chilloutai/stable-diffusion:1.0.0 .

sd-auto-v1/install.py

@@ -0,0 +1,3 @@
+from launch import prepare_environment
+
+prepare_environment()

sd-auto-v1/relauncher.py

@@ -0,0 +1,12 @@
+import os, time
+
+n = 0
+while True:
+    print('Relauncher: Launching...')
+    if n > 0:
+        print(f'\tRelaunch count: {n}')
+    launch_string = "/workspace/stable-diffusion-webui/webui.sh -f"
+    os.system(launch_string)
+    print('Relauncher: Process is ending. Relaunching in 2s...')
+    n += 1
+    time.sleep(2)

sd-auto-v1/start.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+echo "Container Started"
+export PYTHONUNBUFFERED=1
+source /workspace/stable-diffusion-webui/venv/bin/activate
+cd /workspace/stable-diffusion-webui
+python relauncher.py &
+
+if [[ $PUBLIC_KEY ]]
+then
+    mkdir -p ~/.ssh
+    chmod 700 ~/.ssh
+    cd ~/.ssh
+    echo $PUBLIC_KEY >> authorized_keys
+    chmod 700 -R ~/.ssh
+    cd /
+    service ssh start
+    echo "SSH Service Started"
+fi
+
+if [[ $JUPYTER_PASSWORD ]]
+then
+    ln -sf /examples /workspace
+    ln -sf /root/welcome.ipynb /workspace
+
+    cd /
+    jupyter lab --allow-root --no-browser --port=8888 --ip=* \
+        --ServerApp.terminado_settings='{"shell_command":["/bin/bash"]}' \
+        --ServerApp.token=$JUPYTER_PASSWORD --ServerApp.allow_origin=* --ServerApp.preferred_dir=/workspace
+    echo "Jupyter Lab Started"
+fi
+
+sleep infinity

sd-auto-v1/webui-user.sh

@@ -0,0 +1,47 @@
+# #!/bin/bash
+#########################################################
+# Uncomment and change the variables below to your need:#
+#########################################################
+
+# Install directory without trailing slash
+install_dir="/workspace"
+
+# Name of the subdirectory
+#clone_dir="stable-diffusion-webui"
+
+# Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
+export COMMANDLINE_ARGS="--port 3000 --xformers --ckpt /workspace/v1-5-pruned-emaonly.ckpt --listen --enable-insecure-extension-access"
+
+# python3 executable
+#python_cmd="python3"
+
+# git executable
+#export GIT="git"
+
+# python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
+# venv_dir="/workspace/venv"
+
+# script to launch to start the app
+# export LAUNCH_SCRIPT="dummy.py"
+
+# install command for torch
+#export TORCH_COMMAND="pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113"
+
+# Requirements file to use for stable-diffusion-webui
+#export REQS_FILE="requirements_versions.txt"
+
+# Fixed git repos
+#export K_DIFFUSION_PACKAGE=""
+#export GFPGAN_PACKAGE=""
+
+# Fixed git commits
+#export STABLE_DIFFUSION_COMMIT_HASH=""
+#export TAMING_TRANSFORMERS_COMMIT_HASH=""
+#export CODEFORMER_COMMIT_HASH=""
+#export BLIP_COMMIT_HASH=""
+
+# Uncomment to enable accelerated launch
+#export ACCELERATE="True"
+
+###########################################
+

sd-auto-v1/webui.py

@@ -0,0 +1,293 @@
+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 import_hook, errors, 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
+
+import torch
+
+# 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.paths
+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
+
+
+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)
+
+    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()
+    codeformer.setup_model(cmd_opts.codeformer_models_path)
+    gfpgan.setup_model(cmd_opts.gfpgan_models_path)
+
+    modelloader.list_builtin_upscalers()
+    modules.scripts.load_scripts()
+    modelloader.load_upscalers()
+
+    modules.sd_vae.refresh_vae_list()
+
+    modules.textual_inversion.textual_inversion.list_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)
+
+    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.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())
+
+    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")
+
+    # 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_cors(app):
+    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=['*'])
+
+
+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_cors(app)
+    app.add_middleware(GZipMiddleware, minimum_size=1000)
+    api = create_api(app)
+
+    modules.script_callbacks.app_started_callback(None, app)
+    modules.script_callbacks.before_ui_callback()
+    extensions.list_extensions()
+    modules.scripts.reload_scripts()
+    modules.script_callbacks.model_loaded_callback(shared.sd_model)
+    modelloader.load_upscalers()
+    modules.sd_models.list_models()
+
+    
+    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()
+
+        modules.script_callbacks.before_ui_callback()
+
+        shared.demo = modules.ui.create_ui()
+
+        if cmd_opts.gradio_queue:
+            shared.demo.queue(64)
+
+        gradio_auth_creds = []
+        if cmd_opts.gradio_auth:
+            gradio_auth_creds += cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',')
+        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(',')]
+
+        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
+
+        # 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_cors(app)
+
+        app.add_middleware(GZipMiddleware, minimum_size=1000)
+
+        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)
+
+        wait_on_server(shared.demo)
+        print('Restarting UI...')
+
+        sd_samplers.set_samplers()
+
+        modules.script_callbacks.script_unloaded_callback()
+        extensions.list_extensions()
+
+        localization.list_localizations(cmd_opts.localizations_dir)
+
+        modelloader.forbid_loaded_nonbuiltin_upscalers()
+        modules.scripts.reload_scripts()
+        modules.script_callbacks.model_loaded_callback(shared.sd_model)
+        modelloader.load_upscalers()
+
+        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
+            importlib.reload(module)
+
+        modules.sd_models.list_models()
+
+        shared.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())
+
+
+if __name__ == "__main__":
+    if cmd_opts.nowebui:
+        api_only()
+    else:
+        webui()

start.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+echo "Container Started"
+export PYTHONUNBUFFERED=1
+source /workspace/stable-diffusion-webui/venv/bin/activate
+cd /workspace/stable-diffusion-webui
+echo "starting api"
+python webui.py --port 3000 --nowebui --api --xformers --enable-insecure-extension-access --ckpt /model.safetensors &
+cd /
+
+echo "starting worker"
+python -u handler.py

webui.py

@@ -0,0 +1,284 @@
+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 import_hook, errors, 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
+
+import torch
+
+# 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.__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.paths
+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
+
+
+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)
+
+    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()
+    codeformer.setup_model(cmd_opts.codeformer_models_path)
+    gfpgan.setup_model(cmd_opts.gfpgan_models_path)
+    shared.face_restorers.append(modules.face_restoration.FaceRestoration())
+
+    modelloader.list_builtin_upscalers()
+    modules.scripts.load_scripts()
+    modelloader.load_upscalers()
+
+    modules.sd_vae.refresh_vae_list()
+
+    modules.textual_inversion.textual_inversion.list_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)
+
+    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.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())
+
+    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")
+
+    # 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_cors(app):
+    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=['*'])
+
+
+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_cors(app)
+    app.add_middleware(GZipMiddleware, minimum_size=1000)
+    api = create_api(app)
+
+    modules.script_callbacks.app_started_callback(None, app)
+    modules.script_callbacks.before_ui_callback()
+    extensions.list_extensions()
+    modules.scripts.reload_scripts()
+    modules.script_callbacks.model_loaded_callback(shared.sd_model)
+    modelloader.load_upscalers()
+    modules.sd_models.list_models()
+
+    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()
+
+        modules.script_callbacks.before_ui_callback()
+
+        shared.demo = modules.ui.create_ui()
+
+        if cmd_opts.gradio_queue:
+            shared.demo.queue(64)
+
+        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 cmd_opts.gradio_auth.strip('"').split(',')] if cmd_opts.gradio_auth else None,
+            inbrowser=cmd_opts.autolaunch,
+            prevent_thread_lock=True
+        )
+        # after initial launch, disable --autolaunch for subsequent restarts
+        cmd_opts.autolaunch = False
+
+        # 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_cors(app)
+
+        app.add_middleware(GZipMiddleware, minimum_size=1000)
+
+        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)
+
+        wait_on_server(shared.demo)
+        print('Restarting UI...')
+
+        sd_samplers.set_samplers()
+
+        modules.script_callbacks.script_unloaded_callback()
+        extensions.list_extensions()
+
+        localization.list_localizations(cmd_opts.localizations_dir)
+
+        modelloader.forbid_loaded_nonbuiltin_upscalers()
+        modules.scripts.reload_scripts()
+        modules.script_callbacks.model_loaded_callback(shared.sd_model)
+        modelloader.load_upscalers()
+
+        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
+            importlib.reload(module)
+
+        modules.sd_models.list_models()
+
+        shared.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())
+
+
+if __name__ == "__main__":
+    if cmd_opts.nowebui:
+        api_only()
+    else:
+        webui()