split commandline args into its own file

make launch.py use the same command line argument parser as the main program

6 files changed, 73 insertions, 833 deletions

diff --git a/launch.py b/launch.py
index 5f836d22..c41ae82d 100644
--- a/launch.py
+++ b/launch.py
@@ -5,28 +5,27 @@ import sys
 import importlib.util

 import shlex

 import platform

-import argparse

 import json

 

-parser = argparse.ArgumentParser(add_help=False)

-parser.add_argument("--ui-settings-file", type=str, default='config.json')

-parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.realpath(__file__)))

-args, _ = parser.parse_known_args(sys.argv)

+from modules import cmd_args

+from modules.paths_internal import script_path, extensions_dir

 

-script_path = os.path.dirname(__file__)

-data_path = args.data_dir

+commandline_args = os.environ.get('COMMANDLINE_ARGS', "")

+sys.argv += shlex.split(commandline_args)

+

+args, _ = cmd_args.parser.parse_known_args()

 

-dir_repos = "repositories"

-dir_extensions = "extensions"

 python = sys.executable

 git = os.environ.get('GIT', "git")

 index_url = os.environ.get('INDEX_URL', "")

 stored_commit_hash = None

 skip_install = False

+dir_repos = "repositories"

 

 if 'GRADIO_ANALYTICS_ENABLED' not in os.environ:

     os.environ['GRADIO_ANALYTICS_ENABLED'] = 'False'

 

+

 def check_python_version():

     is_windows = platform.system() == "Windows"

     major = sys.version_info.major

@@ -72,23 +71,6 @@ def commit_hash():
     return stored_commit_hash

 

 

-def extract_arg(args, name):

-    return [x for x in args if x != name], name in args

-

-

-def extract_opt(args, name):

-    opt = None

-    is_present = False

-    if name in args:

-        is_present = True

-        idx = args.index(name)

-        del args[idx]

-        if idx < len(args) and args[idx][0] != "-":

-            opt = args[idx]

-            del args[idx]

-    return args, is_present, opt

-

-

 def run(command, desc=None, errdesc=None, custom_env=None, live=False):

     if desc is not None:

         print(desc)

@@ -225,15 +207,15 @@ def list_extensions(settings_file):
 

     disabled_extensions = set(settings.get('disabled_extensions', []))

 

-    return [x for x in os.listdir(os.path.join(data_path, dir_extensions)) if x not in disabled_extensions]

+    return [x for x in os.listdir(extensions_dir) if x not in disabled_extensions]

 

 

 def run_extensions_installers(settings_file):

-    if not os.path.isdir(dir_extensions):

+    if not os.path.isdir(extensions_dir):

         return

 

     for dirname_extension in list_extensions(settings_file):

-        run_extension_installer(os.path.join(data_path, dir_extensions, dirname_extension))

+        run_extension_installer(os.path.join(extensions_dir, dirname_extension))

 

 

 def prepare_environment():

@@ -241,7 +223,6 @@ def prepare_environment():
 

     torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117")

     requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")

-    commandline_args = os.environ.get('COMMANDLINE_ARGS', "")

 

     xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.16rc425')

     gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")

@@ -260,21 +241,7 @@ def prepare_environment():
     codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")

     blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")

 

-    sys.argv += shlex.split(commandline_args)

-

-    sys.argv, _ = extract_arg(sys.argv, '-f')

-    sys.argv, update_all_extensions = extract_arg(sys.argv, '--update-all-extensions')

-    sys.argv, skip_torch_cuda_test = extract_arg(sys.argv, '--skip-torch-cuda-test')

-    sys.argv, skip_python_version_check = extract_arg(sys.argv, '--skip-python-version-check')

-    sys.argv, reinstall_xformers = extract_arg(sys.argv, '--reinstall-xformers')

-    sys.argv, reinstall_torch = extract_arg(sys.argv, '--reinstall-torch')

-    sys.argv, update_check = extract_arg(sys.argv, '--update-check')

-    sys.argv, run_tests, test_dir = extract_opt(sys.argv, '--tests')

-    sys.argv, skip_install = extract_arg(sys.argv, '--skip-install')

-    xformers = '--xformers' in sys.argv

-    ngrok = '--ngrok' in sys.argv

-

-    if not skip_python_version_check:

+    if not args.skip_python_version_check:

         check_python_version()

 

     commit = commit_hash()

@@ -282,10 +249,10 @@ def prepare_environment():
     print(f"Python {sys.version}")

     print(f"Commit hash: {commit}")

 

-    if reinstall_torch or not is_installed("torch") or not is_installed("torchvision"):

+    if args.reinstall_torch or not is_installed("torch") or not is_installed("torchvision"):

         run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)

 

-    if not skip_torch_cuda_test:

+    if not args.skip_torch_cuda_test:

         run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")

 

     if not is_installed("gfpgan"):

@@ -297,7 +264,7 @@ def prepare_environment():
     if not is_installed("open_clip"):

         run_pip(f"install {openclip_package}", "open_clip")

 

-    if (not is_installed("xformers") or reinstall_xformers) and xformers:

+    if (not is_installed("xformers") or args.reinstall_xformers) and args.xformers:

         if platform.system() == "Windows":

             if platform.python_version().startswith("3.10"):

                 run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")

@@ -309,7 +276,7 @@ def prepare_environment():
         elif platform.system() == "Linux":

             run_pip(f"install {xformers_package}", "xformers")

 

-    if not is_installed("pyngrok") and ngrok:

+    if not is_installed("pyngrok") and args.ngrok:

         run_pip("install pyngrok", "ngrok")

 

     os.makedirs(os.path.join(script_path, dir_repos), exist_ok=True)

@@ -329,18 +296,18 @@ def prepare_environment():
 

     run_extensions_installers(settings_file=args.ui_settings_file)

 

-    if update_check:

+    if args.update_check:

         version_check(commit)

 

-    if update_all_extensions:

-        git_pull_recursive(os.path.join(data_path, dir_extensions))

+    if args.update_all_extensions:

+        git_pull_recursive(extensions_dir)

     

     if "--exit" in sys.argv:

         print("Exiting because of --exit argument")

         exit(0)

 

-    if run_tests:

-        exitcode = tests(test_dir)

+    if args.tests and not args.no_tests:

+        exitcode = tests(args.tests)

         exit(exitcode)

 

 

@@ -354,6 +321,8 @@ def tests(test_dir):
         sys.argv.append("--skip-torch-cuda-test")

     if "--disable-nan-check" not in sys.argv:

         sys.argv.append("--disable-nan-check")

+    if "--no-tests" not in sys.argv:

+        sys.argv.append("--no-tests")

 

     print(f"Launching Web UI in another process for testing with arguments: {' '.join(sys.argv[1:])}")

 

diff --git a/modules/cmd_args.py b/modules/cmd_args.py
index 73ce77d4..0af87251 100644
--- a/modules/cmd_args.py
+++ b/modules/cmd_args.py
@@ -1,31 +1,19 @@
 import argparse

-import datetime

-import json

 import os

-import sys

-import time

-

-from PIL import Image

-import gradio as gr

-import tqdm

-

-import modules.interrogate

-import modules.memmon

-import modules.styles

-import modules.devices as devices

-from modules import localization, extensions, script_loading, errors, ui_components, shared_items

-from modules.paths import models_path, script_path, data_path

-

-

-demo = None

-

-sd_configs_path = os.path.join(script_path, "configs")

-sd_default_config = os.path.join(sd_configs_path, "v1-inference.yaml")

-sd_model_file = os.path.join(script_path, 'model.ckpt')

-default_sd_model_file = sd_model_file

+from modules.paths_internal import models_path, script_path, data_path, extensions_dir, extensions_builtin_dir, sd_default_config, sd_model_file

 

 parser = argparse.ArgumentParser()

-parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored",)

+

+parser.add_argument("--update-all-extensions", action='store_true', help="launch.py argument: download updates for all extensions when starting the program")

+parser.add_argument("--skip-python-version-check", action='store_true', help="launch.py argument: do not check python version")

+parser.add_argument("--skip-torch-cuda-test", action='store_true', help="launch.py argument: do not check if CUDA is able to work properly")

+parser.add_argument("--reinstall-xformers", action='store_true', help="launch.py argument: install the appropriate version of xformers even if you have some version already installed")

+parser.add_argument("--reinstall-torch", action='store_true', help="launch.py argument: install the appropriate version of torch even if you have some version already installed")

+parser.add_argument("--update-check", action='store_true', help="launch.py argument: chck for updates at startup")

+parser.add_argument("--tests", type=str, default=None, help="launch.py argument: run tests in the specified directory")

+parser.add_argument("--no-tests", action='store_true', help="launch.py argument: do not run tests even if --tests option is specified")

+parser.add_argument("--skip-install", action='store_true', help="launch.py argument: skip installation of packages")

+parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored")

 parser.add_argument("--config", type=str, default=sd_default_config, help="path to config which constructs model",)

 parser.add_argument("--ckpt", type=str, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",)

 parser.add_argument("--ckpt-dir", type=str, default=None, help="Path to directory with stable diffusion checkpoints")

@@ -112,640 +100,3 @@ parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gra
 parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")

 parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)

 parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)

-

-

-script_loading.preload_extensions(extensions.extensions_dir, parser)

-script_loading.preload_extensions(extensions.extensions_builtin_dir, parser)

-

-if os.environ.get('IGNORE_CMD_ARGS_ERRORS', None) is None:

-    cmd_opts = parser.parse_args()

-else:

-    cmd_opts, _ = parser.parse_known_args()

-

-restricted_opts = {

-    "samples_filename_pattern",

-    "directories_filename_pattern",

-    "outdir_samples",

-    "outdir_txt2img_samples",

-    "outdir_img2img_samples",

-    "outdir_extras_samples",

-    "outdir_grids",

-    "outdir_txt2img_grids",

-    "outdir_save",

-}

-

-ui_reorder_categories = [

-    "inpaint",

-    "sampler",

-    "checkboxes",

-    "hires_fix",

-    "dimensions",

-    "cfg",

-    "seed",

-    "batch",

-    "override_settings",

-    "scripts",

-]

-

-cmd_opts.disable_extension_access = (cmd_opts.share or cmd_opts.listen or cmd_opts.server_name) and not cmd_opts.enable_insecure_extension_access

-

-devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_esrgan, devices.device_codeformer = \

-    (devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'esrgan', 'codeformer'])

-

-device = devices.device

-weight_load_location = None if cmd_opts.lowram else "cpu"

-

-batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)

-parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram

-xformers_available = False

-config_filename = cmd_opts.ui_settings_file

-

-os.makedirs(cmd_opts.hypernetwork_dir, exist_ok=True)

-hypernetworks = {}

-loaded_hypernetworks = []

-

-

-def reload_hypernetworks():

-    from modules.hypernetworks import hypernetwork

-    global hypernetworks

-

-    hypernetworks = hypernetwork.list_hypernetworks(cmd_opts.hypernetwork_dir)

-

-

-class State:

-    skipped = False

-    interrupted = False

-    job = ""

-    job_no = 0

-    job_count = 0

-    processing_has_refined_job_count = False

-    job_timestamp = '0'

-    sampling_step = 0

-    sampling_steps = 0

-    current_latent = None

-    current_image = None

-    current_image_sampling_step = 0

-    id_live_preview = 0

-    textinfo = None

-    time_start = None

-    need_restart = False

-    server_start = None

-

-    def skip(self):

-        self.skipped = True

-

-    def interrupt(self):

-        self.interrupted = True

-

-    def nextjob(self):

-        if opts.live_previews_enable and opts.show_progress_every_n_steps == -1:

-            self.do_set_current_image()

-

-        self.job_no += 1

-        self.sampling_step = 0

-        self.current_image_sampling_step = 0

-

-    def dict(self):

-        obj = {

-            "skipped": self.skipped,

-            "interrupted": self.interrupted,

-            "job": self.job,

-            "job_count": self.job_count,

-            "job_timestamp": self.job_timestamp,

-            "job_no": self.job_no,

-            "sampling_step": self.sampling_step,

-            "sampling_steps": self.sampling_steps,

-        }

-

-        return obj

-

-    def begin(self):

-        self.sampling_step = 0

-        self.job_count = -1

-        self.processing_has_refined_job_count = False

-        self.job_no = 0

-        self.job_timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")

-        self.current_latent = None

-        self.current_image = None

-        self.current_image_sampling_step = 0

-        self.id_live_preview = 0

-        self.skipped = False

-        self.interrupted = False

-        self.textinfo = None

-        self.time_start = time.time()

-

-        devices.torch_gc()

-

-    def end(self):

-        self.job = ""

-        self.job_count = 0

-

-        devices.torch_gc()

-

-    def set_current_image(self):

-        """sets self.current_image from self.current_latent if enough sampling steps have been made after the last call to this"""

-        if not parallel_processing_allowed:

-            return

-

-        if self.sampling_step - self.current_image_sampling_step >= opts.show_progress_every_n_steps and opts.live_previews_enable and opts.show_progress_every_n_steps != -1:

-            self.do_set_current_image()

-

-    def do_set_current_image(self):

-        if self.current_latent is None:

-            return

-

-        import modules.sd_samplers

-        if opts.show_progress_grid:

-            self.assign_current_image(modules.sd_samplers.samples_to_image_grid(self.current_latent))

-        else:

-            self.assign_current_image(modules.sd_samplers.sample_to_image(self.current_latent))

-

-        self.current_image_sampling_step = self.sampling_step

-

-    def assign_current_image(self, image):

-        self.current_image = image

-        self.id_live_preview += 1

-

-

-state = State()

-state.server_start = time.time()

-

-styles_filename = cmd_opts.styles_file

-prompt_styles = modules.styles.StyleDatabase(styles_filename)

-

-interrogator = modules.interrogate.InterrogateModels("interrogate")

-

-face_restorers = []

-

-class OptionInfo:

-    def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, section=None, refresh=None):

-        self.default = default

-        self.label = label

-        self.component = component

-        self.component_args = component_args

-        self.onchange = onchange

-        self.section = section

-        self.refresh = refresh

-

-

-def options_section(section_identifier, options_dict):

-    for k, v in options_dict.items():

-        v.section = section_identifier

-

-    return options_dict

-

-

-def list_checkpoint_tiles():

-    import modules.sd_models

-    return modules.sd_models.checkpoint_tiles()

-

-

-def refresh_checkpoints():

-    import modules.sd_models

-    return modules.sd_models.list_models()

-

-

-def list_samplers():

-    import modules.sd_samplers

-    return modules.sd_samplers.all_samplers

-

-

-hide_dirs = {"visible": not cmd_opts.hide_ui_dir_config}

-tab_names = []

-

-options_templates = {}

-

-options_templates.update(options_section(('saving-images', "Saving images/grids"), {

-    "samples_save": OptionInfo(True, "Always save all generated images"),

-    "samples_format": OptionInfo('png', 'File format for images'),

-    "samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs),

-    "save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),

-

-    "grid_save": OptionInfo(True, "Always save all generated image grids"),

-    "grid_format": OptionInfo('png', 'File format for grids'),

-    "grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),

-    "grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),

-    "grid_prevent_empty_spots": OptionInfo(False, "Prevent empty spots in grid (when set to autodetect)"),

-    "n_rows": OptionInfo(-1, "Grid row count; use -1 for autodetect and 0 for it to be same as batch size", gr.Slider, {"minimum": -1, "maximum": 16, "step": 1}),

-

-    "enable_pnginfo": OptionInfo(True, "Save text information about generation parameters as chunks to png files"),

-    "save_txt": OptionInfo(False, "Create a text file next to every image with generation parameters."),

-    "save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),

-    "save_images_before_highres_fix": OptionInfo(False, "Save a copy of image before applying highres fix."),

-    "save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),

-    "save_mask": OptionInfo(False, "For inpainting, save a copy of the greyscale mask"),

-    "save_mask_composite": OptionInfo(False, "For inpainting, save a masked composite"),

-    "jpeg_quality": OptionInfo(80, "Quality for saved jpeg images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),

-    "webp_lossless": OptionInfo(False, "Use lossless compression for webp images"),

-    "export_for_4chan": OptionInfo(True, "If the saved image file size is above the limit, or its either width or height are above the limit, save a downscaled copy as JPG"),

-    "img_downscale_threshold": OptionInfo(4.0, "File size limit for the above option, MB", gr.Number),

-    "target_side_length": OptionInfo(4000, "Width/height limit for the above option, in pixels", gr.Number),

-    "img_max_size_mp": OptionInfo(200, "Maximum image size, in megapixels", gr.Number),

-

-    "use_original_name_batch": OptionInfo(True, "Use original name for output filename during batch process in extras tab"),

-    "use_upscaler_name_as_suffix": OptionInfo(False, "Use upscaler name as filename suffix in the extras tab"),

-    "save_selected_only": OptionInfo(True, "When using 'Save' button, only save a single selected image"),

-    "do_not_add_watermark": OptionInfo(False, "Do not add watermark to images"),

-

-    "temp_dir":  OptionInfo("", "Directory for temporary images; leave empty for default"),

-    "clean_temp_dir_at_start": OptionInfo(False, "Cleanup non-default temporary directory when starting webui"),

-

-}))

-

-options_templates.update(options_section(('saving-paths', "Paths for saving"), {

-    "outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to three directories below", component_args=hide_dirs),

-    "outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs),

-    "outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs),

-    "outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs),

-    "outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs),

-    "outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs),

-    "outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs),

-    "outdir_save": OptionInfo("log/images", "Directory for saving images using the Save button", component_args=hide_dirs),

-}))

-

-options_templates.update(options_section(('saving-to-dirs', "Saving to a directory"), {

-    "save_to_dirs": OptionInfo(True, "Save images to a subdirectory"),

-    "grid_save_to_dirs": OptionInfo(True, "Save grids to a subdirectory"),

-    "use_save_to_dirs_for_ui": OptionInfo(False, "When using \"Save\" button, save images to a subdirectory"),

-    "directories_filename_pattern": OptionInfo("[date]", "Directory name pattern", component_args=hide_dirs),

-    "directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1, **hide_dirs}),

-}))

-

-options_templates.update(options_section(('upscaling', "Upscaling"), {

-    "ESRGAN_tile": OptionInfo(192, "Tile size for ESRGAN upscalers. 0 = no tiling.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),

-    "ESRGAN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}),

-    "realesrgan_enabled_models": OptionInfo(["R-ESRGAN 4x+", "R-ESRGAN 4x+ Anime6B"], "Select which Real-ESRGAN models to show in the web UI. (Requires restart)", gr.CheckboxGroup, lambda: {"choices": shared_items.realesrgan_models_names()}),

-    "upscaler_for_img2img": OptionInfo(None, "Upscaler for img2img", gr.Dropdown, lambda: {"choices": [x.name for x in sd_upscalers]}),

-}))

-

-options_templates.update(options_section(('face-restoration', "Face restoration"), {

-    "face_restoration_model": OptionInfo("CodeFormer", "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),

-    "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),

-    "face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"),

-}))

-

-options_templates.update(options_section(('system', "System"), {

-    "show_warnings": OptionInfo(False, "Show warnings in console."),

-    "memmon_poll_rate": OptionInfo(8, "VRAM usage polls per second during generation. Set to 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 40, "step": 1}),

-    "samples_log_stdout": OptionInfo(False, "Always print all generation info to standard output"),

-    "multiple_tqdm": OptionInfo(True, "Add a second progress bar to the console that shows progress for an entire job."),

-    "print_hypernet_extra": OptionInfo(False, "Print extra hypernetwork information to console."),

-}))

-

-options_templates.update(options_section(('training', "Training"), {

-    "unload_models_when_training": OptionInfo(False, "Move VAE and CLIP to RAM when training if possible. Saves VRAM."),

-    "pin_memory": OptionInfo(False, "Turn on pin_memory for DataLoader. Makes training slightly faster but can increase memory usage."),

-    "save_optimizer_state": OptionInfo(False, "Saves Optimizer state as separate *.optim file. Training of embedding or HN can be resumed with the matching optim file."),

-    "save_training_settings_to_txt": OptionInfo(True, "Save textual inversion and hypernet settings to a text file whenever training starts."),

-    "dataset_filename_word_regex": OptionInfo("", "Filename word regex"),

-    "dataset_filename_join_string": OptionInfo(" ", "Filename join string"),

-    "training_image_repeats_per_epoch": OptionInfo(1, "Number of repeats for a single input image per epoch; used only for displaying epoch number", gr.Number, {"precision": 0}),

-    "training_write_csv_every": OptionInfo(500, "Save an csv containing the loss to log directory every N steps, 0 to disable"),

-    "training_xattention_optimizations": OptionInfo(False, "Use cross attention optimizations while training"),

-    "training_enable_tensorboard": OptionInfo(False, "Enable tensorboard logging."),

-    "training_tensorboard_save_images": OptionInfo(False, "Save generated images within tensorboard."),

-    "training_tensorboard_flush_every": OptionInfo(120, "How often, in seconds, to flush the pending tensorboard events and summaries to disk."),

-}))

-

-options_templates.update(options_section(('sd', "Stable Diffusion"), {

-    "sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Dropdown, lambda: {"choices": list_checkpoint_tiles()}, refresh=refresh_checkpoints),

-    "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),

-    "sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),

-    "sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": shared_items.sd_vae_items()}, refresh=shared_items.refresh_vae_list),

-    "sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),

-    "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    "initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01}),

-    "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),

-    "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),

-    "img2img_background_color": OptionInfo("#ffffff", "With img2img, fill image's transparent parts with this color.", ui_components.FormColorPicker, {}),

-    "enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply."),

-    "enable_emphasis": OptionInfo(True, "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention"),

-    "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),

-    "comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),

-    "CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),

-    "upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),

-}))

-

-options_templates.update(options_section(('compatibility', "Compatibility"), {

-    "use_old_emphasis_implementation": OptionInfo(False, "Use old emphasis implementation. Can be useful to reproduce old seeds."),

-    "use_old_karras_scheduler_sigmas": OptionInfo(False, "Use old karras scheduler sigmas (0.1 to 10)."),

-    "no_dpmpp_sde_batch_determinism": OptionInfo(False, "Do not make DPM++ SDE deterministic across different batch sizes."),

-    "use_old_hires_fix_width_height": OptionInfo(False, "For hires fix, use width/height sliders to set final resolution rather than first pass (disables Upscale by, Resize width/height to)."),

-}))

-

-options_templates.update(options_section(('interrogate', "Interrogate Options"), {

-    "interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),

-    "interrogate_return_ranks": OptionInfo(False, "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators)."),

-    "interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),

-    "interrogate_clip_min_length": OptionInfo(24, "Interrogate: minimum description length (excluding artists, etc..)", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),

-    "interrogate_clip_max_length": OptionInfo(48, "Interrogate: maximum description length", gr.Slider, {"minimum": 1, "maximum": 256, "step": 1}),

-    "interrogate_clip_dict_limit": OptionInfo(1500, "CLIP: maximum number of lines in text file (0 = No limit)"),

-    "interrogate_clip_skip_categories": OptionInfo([], "CLIP: skip inquire categories", gr.CheckboxGroup, lambda: {"choices": modules.interrogate.category_types()}, refresh=modules.interrogate.category_types),

-    "interrogate_deepbooru_score_threshold": OptionInfo(0.5, "Interrogate: deepbooru score threshold", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),

-    "deepbooru_sort_alpha": OptionInfo(True, "Interrogate: deepbooru sort alphabetically"),

-    "deepbooru_use_spaces": OptionInfo(False, "use spaces for tags in deepbooru"),

-    "deepbooru_escape": OptionInfo(True, "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)"),

-    "deepbooru_filter_tags": OptionInfo("", "filter out those tags from deepbooru output (separated by comma)"),

-}))

-

-options_templates.update(options_section(('extra_networks', "Extra Networks"), {

-    "extra_networks_default_view": OptionInfo("cards", "Default view for Extra Networks", gr.Dropdown, {"choices": ["cards", "thumbs"]}),

-    "extra_networks_default_multiplier": OptionInfo(1.0, "Multiplier for extra networks", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    "extra_networks_card_width": OptionInfo(0, "Card width for Extra Networks (px)"),

-    "extra_networks_card_height": OptionInfo(0, "Card height for Extra Networks (px)"),

-    "extra_networks_add_text_separator": OptionInfo(" ", "Extra text to add before <...> when adding extra network to prompt"),

-    "sd_hypernetwork": OptionInfo("None", "Add hypernetwork to prompt", gr.Dropdown, lambda: {"choices": [""] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),

-}))

-

-options_templates.update(options_section(('ui', "User interface"), {

-    "return_grid": OptionInfo(True, "Show grid in results for web"),

-    "return_mask": OptionInfo(False, "For inpainting, include the greyscale mask in results for web"),

-    "return_mask_composite": OptionInfo(False, "For inpainting, include masked composite in results for web"),

-    "do_not_show_images": OptionInfo(False, "Do not show any images in results for web"),

-    "add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),

-    "add_model_name_to_info": OptionInfo(True, "Add model name to generation information"),

-    "disable_weights_auto_swap": OptionInfo(True, "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint."),

-    "send_seed": OptionInfo(True, "Send seed when sending prompt or image to other interface"),

-    "send_size": OptionInfo(True, "Send size when sending prompt or image to another interface"),

-    "font": OptionInfo("", "Font for image grids that have text"),

-    "js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),

-    "js_modal_lightbox_initially_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),

-    "show_progress_in_title": OptionInfo(True, "Show generation progress in window title."),

-    "samplers_in_dropdown": OptionInfo(True, "Use dropdown for sampler selection instead of radio group"),

-    "dimensions_and_batch_together": OptionInfo(True, "Show Width/Height and Batch sliders in same row"),

-    "keyedit_precision_attention": OptionInfo(0.1, "Ctrl+up/down precision when editing (attention:1.1)", gr.Slider, {"minimum": 0.01, "maximum": 0.2, "step": 0.001}),

-    "keyedit_precision_extra": OptionInfo(0.05, "Ctrl+up/down precision when editing <extra networks:0.9>", gr.Slider, {"minimum": 0.01, "maximum": 0.2, "step": 0.001}),

-    "quicksettings": OptionInfo("sd_model_checkpoint", "Quicksettings list"),

-    "hidden_tabs": OptionInfo([], "Hidden UI tabs (requires restart)", ui_components.DropdownMulti, lambda: {"choices": [x for x in tab_names]}),

-    "ui_reorder": OptionInfo(", ".join(ui_reorder_categories), "txt2img/img2img UI item order"),

-    "ui_extra_networks_tab_reorder": OptionInfo("", "Extra networks tab order"),

-    "localization": OptionInfo("None", "Localization (requires restart)", gr.Dropdown, lambda: {"choices": ["None"] + list(localization.localizations.keys())}, refresh=lambda: localization.list_localizations(cmd_opts.localizations_dir)),

-}))

-

-options_templates.update(options_section(('ui', "Live previews"), {

-    "show_progressbar": OptionInfo(True, "Show progressbar"),

-    "live_previews_enable": OptionInfo(True, "Show live previews of the created image"),

-    "show_progress_grid": OptionInfo(True, "Show previews of all images generated in a batch as a grid"),

-    "show_progress_every_n_steps": OptionInfo(10, "Show new live preview image every N sampling steps. Set to -1 to show after completion of batch.", gr.Slider, {"minimum": -1, "maximum": 32, "step": 1}),

-    "show_progress_type": OptionInfo("Approx NN", "Image creation progress preview mode", gr.Radio, {"choices": ["Full", "Approx NN", "Approx cheap"]}),

-    "live_preview_content": OptionInfo("Prompt", "Live preview subject", gr.Radio, {"choices": ["Combined", "Prompt", "Negative prompt"]}),

-    "live_preview_refresh_period": OptionInfo(1000, "Progressbar/preview update period, in milliseconds")

-}))

-

-options_templates.update(options_section(('sampler-params', "Sampler parameters"), {

-    "hide_samplers": OptionInfo([], "Hide samplers in user interface (requires restart)", gr.CheckboxGroup, lambda: {"choices": [x.name for x in list_samplers()]}),

-    "eta_ddim": OptionInfo(0.0, "eta (noise multiplier) for DDIM", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    "eta_ancestral": OptionInfo(1.0, "eta (noise multiplier) for ancestral samplers", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    "ddim_discretize": OptionInfo('uniform', "img2img DDIM discretize", gr.Radio, {"choices": ['uniform', 'quad']}),

-    's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

-    'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),

-    'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma"),

-    'uni_pc_variant': OptionInfo("bh1", "UniPC variant", gr.Radio, {"choices": ["bh1", "bh2", "vary_coeff"]}),

-    'uni_pc_skip_type': OptionInfo("time_uniform", "UniPC skip type", gr.Radio, {"choices": ["time_uniform", "time_quadratic", "logSNR"]}),

-    'uni_pc_order': OptionInfo(3, "UniPC order (must be < sampling steps)", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}),

-    'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final"),

-}))

-

-options_templates.update(options_section(('postprocessing', "Postprocessing"), {

-    'postprocessing_enable_in_main_ui': OptionInfo([], "Enable postprocessing operations in txt2img and img2img tabs", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),

-    'postprocessing_operation_order': OptionInfo([], "Postprocessing operation order", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),

-    'upscaling_max_images_in_cache': OptionInfo(5, "Maximum number of images in upscaling cache", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),

-}))

-

-options_templates.update(options_section((None, "Hidden options"), {

-    "disabled_extensions": OptionInfo([], "Disable those extensions"),

-    "sd_checkpoint_hash": OptionInfo("", "SHA256 hash of the current checkpoint"),

-}))

-

-options_templates.update()

-

-

-class Options:

-    data = None

-    data_labels = options_templates

-    typemap = {int: float}

-

-    def __init__(self):

-        self.data = {k: v.default for k, v in self.data_labels.items()}

-

-    def __setattr__(self, key, value):

-        if self.data is not None:

-            if key in self.data or key in self.data_labels:

-                assert not cmd_opts.freeze_settings, "changing settings is disabled"

-

-                info = opts.data_labels.get(key, None)

-                comp_args = info.component_args if info else None

-                if isinstance(comp_args, dict) and comp_args.get('visible', True) is False:

-                    raise RuntimeError(f"not possible to set {key} because it is restricted")

-

-                if cmd_opts.hide_ui_dir_config and key in restricted_opts:

-                    raise RuntimeError(f"not possible to set {key} because it is restricted")

-

-                self.data[key] = value

-                return

-

-        return super(Options, self).__setattr__(key, value)

-

-    def __getattr__(self, item):

-        if self.data is not None:

-            if item in self.data:

-                return self.data[item]

-

-        if item in self.data_labels:

-            return self.data_labels[item].default

-

-        return super(Options, self).__getattribute__(item)

-

-    def set(self, key, value):

-        """sets an option and calls its onchange callback, returning True if the option changed and False otherwise"""

-

-        oldval = self.data.get(key, None)

-        if oldval == value:

-            return False

-

-        try:

-            setattr(self, key, value)

-        except RuntimeError:

-            return False

-

-        if self.data_labels[key].onchange is not None:

-            try:

-                self.data_labels[key].onchange()

-            except Exception as e:

-                errors.display(e, f"changing setting {key} to {value}")

-                setattr(self, key, oldval)

-                return False

-

-        return True

-

-    def get_default(self, key):

-        """returns the default value for the key"""

-

-        data_label = self.data_labels.get(key)

-        if data_label is None:

-            return None

-

-        return data_label.default

-

-    def save(self, filename):

-        assert not cmd_opts.freeze_settings, "saving settings is disabled"

-

-        with open(filename, "w", encoding="utf8") as file:

-            json.dump(self.data, file, indent=4)

-

-    def same_type(self, x, y):

-        if x is None or y is None:

-            return True

-

-        type_x = self.typemap.get(type(x), type(x))

-        type_y = self.typemap.get(type(y), type(y))

-

-        return type_x == type_y

-

-    def load(self, filename):

-        with open(filename, "r", encoding="utf8") as file:

-            self.data = json.load(file)

-

-        bad_settings = 0

-        for k, v in self.data.items():

-            info = self.data_labels.get(k, None)

-            if info is not None and not self.same_type(info.default, v):

-                print(f"Warning: bad setting value: {k}: {v} ({type(v).__name__}; expected {type(info.default).__name__})", file=sys.stderr)

-                bad_settings += 1

-

-        if bad_settings > 0:

-            print(f"The program is likely to not work with bad settings.\nSettings file: {filename}\nEither fix the file, or delete it and restart.", file=sys.stderr)

-

-    def onchange(self, key, func, call=True):

-        item = self.data_labels.get(key)

-        item.onchange = func

-

-        if call:

-            func()

-

-    def dumpjson(self):

-        d = {k: self.data.get(k, self.data_labels.get(k).default) for k in self.data_labels.keys()}

-        return json.dumps(d)

-

-    def add_option(self, key, info):

-        self.data_labels[key] = info

-

-    def reorder(self):

-        """reorder settings so that all items related to section always go together"""

-

-        section_ids = {}

-        settings_items = self.data_labels.items()

-        for k, item in settings_items:

-            if item.section not in section_ids:

-                section_ids[item.section] = len(section_ids)

-

-        self.data_labels = {k: v for k, v in sorted(settings_items, key=lambda x: section_ids[x[1].section])}

-

-    def cast_value(self, key, value):

-        """casts an arbitrary to the same type as this setting's value with key

-        Example: cast_value("eta_noise_seed_delta", "12") -> returns 12 (an int rather than str)

-        """

-

-        if value is None:

-            return None

-

-        default_value = self.data_labels[key].default

-        if default_value is None:

-            default_value = getattr(self, key, None)

-        if default_value is None:

-            return None

-

-        expected_type = type(default_value)

-        if expected_type == bool and value == "False":

-            value = False

-        else:

-            value = expected_type(value)

-

-        return value

-

-

-

-opts = Options()

-if os.path.exists(config_filename):

-    opts.load(config_filename)

-

-settings_components = None

-"""assinged from ui.py, a mapping on setting anmes to gradio components repsponsible for those settings"""

-

-latent_upscale_default_mode = "Latent"

-latent_upscale_modes = {

-    "Latent": {"mode": "bilinear", "antialias": False},

-    "Latent (antialiased)": {"mode": "bilinear", "antialias": True},

-    "Latent (bicubic)": {"mode": "bicubic", "antialias": False},

-    "Latent (bicubic antialiased)": {"mode": "bicubic", "antialias": True},

-    "Latent (nearest)": {"mode": "nearest", "antialias": False},

-    "Latent (nearest-exact)": {"mode": "nearest-exact", "antialias": False},

-}

-

-sd_upscalers = []

-

-sd_model = None

-

-clip_model = None

-

-progress_print_out = sys.stdout

-

-

-class TotalTQDM:

-    def __init__(self):

-        self._tqdm = None

-

-    def reset(self):

-        self._tqdm = tqdm.tqdm(

-            desc="Total progress",

-            total=state.job_count * state.sampling_steps,

-            position=1,

-            file=progress_print_out

-        )

-

-    def update(self):

-        if not opts.multiple_tqdm or cmd_opts.disable_console_progressbars:

-            return

-        if self._tqdm is None:

-            self.reset()

-        self._tqdm.update()

-

-    def updateTotal(self, new_total):

-        if not opts.multiple_tqdm or cmd_opts.disable_console_progressbars:

-            return

-        if self._tqdm is None:

-            self.reset()

-        self._tqdm.total = new_total

-

-    def clear(self):

-        if self._tqdm is not None:

-            self._tqdm.refresh()

-            self._tqdm.close()

-            self._tqdm = None

-

-

-total_tqdm = TotalTQDM()

-

-mem_mon = modules.memmon.MemUsageMonitor("MemMon", device, opts)

-mem_mon.start()

-

-

-def listfiles(dirname):

-    filenames = [os.path.join(dirname, x) for x in sorted(os.listdir(dirname)) if not x.startswith(".")]

-    return [file for file in filenames if os.path.isfile(file)]

-

-

-def html_path(filename):

-    return os.path.join(script_path, "html", filename)

-

-

-def html(filename):

-    path = html_path(filename)

-

-    if os.path.exists(path):

-        with open(path, encoding="utf8") as file:

-            return file.read()

-

-    return ""

diff --git a/modules/extensions.py b/modules/extensions.py
index ed4b58fe..8107a933 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -8,11 +8,9 @@ import git
 from modules import paths, shared

 

 extensions = []

-extensions_dir = os.path.join(paths.data_path, "extensions")

-extensions_builtin_dir = os.path.join(paths.script_path, "extensions-builtin")

 

-if not os.path.exists(extensions_dir):

-    os.makedirs(extensions_dir)

+if not os.path.exists(paths.extensions_dir):

+    os.makedirs(paths.extensions_dir)

 

 def active():

     return [x for x in extensions if x.enabled]

@@ -86,11 +84,11 @@ class Extension:
 def list_extensions():

     extensions.clear()

 

-    if not os.path.isdir(extensions_dir):

+    if not os.path.isdir(paths.extensions_dir):

         return

 

-    paths = []

-    for dirname in [extensions_dir, extensions_builtin_dir]:

+    extension_paths = []

+    for dirname in [paths.extensions_dir, paths.extensions_builtin_dir]:

         if not os.path.isdir(dirname):

             return

 

@@ -99,9 +97,9 @@ def list_extensions():
             if not os.path.isdir(path):

                 continue

 

-            paths.append((extension_dirname, path, dirname == extensions_builtin_dir))

+            extension_paths.append((extension_dirname, path, dirname == paths.extensions_builtin_dir))

 

-    for dirname, path, is_builtin in paths:

+    for dirname, path, is_builtin in extension_paths:

         extension = Extension(name=dirname, path=path, enabled=dirname not in shared.opts.disabled_extensions, is_builtin=is_builtin)

         extensions.append(extension)

 

diff --git a/modules/paths.py b/modules/paths.py
index d991cc71..0e1e00e7 100644
--- a/modules/paths.py
+++ b/modules/paths.py
@@ -1,16 +1,9 @@
-import argparse

 import os

 import sys

-import modules.safe

+from modules.paths_internal import models_path, script_path, data_path, extensions_dir, extensions_builtin_dir

 

-script_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))

+import modules.safe

 

-# Parse the --data-dir flag first so we can use it as a base for our other argument default values

-parser = argparse.ArgumentParser(add_help=False)

-parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored",)

-cmd_opts_pre = parser.parse_known_args()[0]

-data_path = cmd_opts_pre.data_dir

-models_path = os.path.join(data_path, "models")

 

 # data_path = cmd_opts_pre.data

 sys.path.insert(0, script_path)

diff --git a/modules/paths_internal.py b/modules/paths_internal.py
new file mode 100644
index 00000000..926ec3bb
--- /dev/null
+++ b/modules/paths_internal.py
@@ -0,0 +1,22 @@
+"""this module defines internal paths used by program and is safe to import before dependencies are installed in launch.py"""

+

+import argparse

+import os

+

+script_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))

+

+sd_configs_path = os.path.join(script_path, "configs")

+sd_default_config = os.path.join(sd_configs_path, "v1-inference.yaml")

+sd_model_file = os.path.join(script_path, 'model.ckpt')

+default_sd_model_file = sd_model_file

+

+# Parse the --data-dir flag first so we can use it as a base for our other argument default values

+parser_pre = argparse.ArgumentParser(add_help=False)

+parser_pre.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored",)

+cmd_opts_pre = parser_pre.parse_known_args()[0]

+

+data_path = cmd_opts_pre.data_dir

+

+models_path = os.path.join(data_path, "models")

+extensions_dir = os.path.join(data_path, "extensions")

+extensions_builtin_dir = os.path.join(script_path, "extensions-builtin")

diff --git a/modules/shared.py b/modules/shared.py
index 73ce77d4..11be3985 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -13,115 +13,22 @@ import modules.interrogate
 import modules.memmon

 import modules.styles

 import modules.devices as devices

-from modules import localization, extensions, script_loading, errors, ui_components, shared_items

-from modules.paths import models_path, script_path, data_path

-

+from modules import localization, script_loading, errors, ui_components, shared_items, cmd_args

+from modules.paths_internal import models_path, script_path, data_path, sd_configs_path, sd_default_config, sd_model_file, default_sd_model_file, extensions_dir, extensions_builtin_dir

 

 demo = None

 

-sd_configs_path = os.path.join(script_path, "configs")

-sd_default_config = os.path.join(sd_configs_path, "v1-inference.yaml")

-sd_model_file = os.path.join(script_path, 'model.ckpt')

-default_sd_model_file = sd_model_file

-

-parser = argparse.ArgumentParser()

-parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored",)

-parser.add_argument("--config", type=str, default=sd_default_config, help="path to config which constructs model",)

-parser.add_argument("--ckpt", type=str, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",)

-parser.add_argument("--ckpt-dir", type=str, default=None, help="Path to directory with stable diffusion checkpoints")

-parser.add_argument("--vae-dir", type=str, default=None, help="Path to directory with VAE files")

-parser.add_argument("--gfpgan-dir", type=str, help="GFPGAN directory", default=('./src/gfpgan' if os.path.exists('./src/gfpgan') else './GFPGAN'))

-parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", default=None)

-parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")

-parser.add_argument("--no-half-vae", action='store_true', help="do not switch the VAE model to 16-bit floats")

-parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")

-parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")

-parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")

-parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")

-parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")

-parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")

-parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")

-parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a little speed for low VRM usage")

-parser.add_argument("--lowvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a lot of speed for very low VRM usage")

-parser.add_argument("--lowram", action='store_true', help="load stable diffusion checkpoint weights to VRAM instead of RAM")

-parser.add_argument("--always-batch-cond-uncond", action='store_true', help="disables cond/uncond batching that is enabled to save memory with --medvram or --lowvram")

-parser.add_argument("--unload-gfpgan", action='store_true', help="does not do anything.")

-parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "autocast"], default="autocast")

-parser.add_argument("--upcast-sampling", action='store_true', help="upcast sampling. No effect with --no-half. Usually produces similar results to --no-half with better performance while using less memory.")

-parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site")

-parser.add_argument("--ngrok", type=str, help="ngrok authtoken, alternative to gradio --share", default=None)

-parser.add_argument("--ngrok-region", type=str, help="The region in which ngrok should start.", default="us")

-parser.add_argument("--enable-insecure-extension-access", action='store_true', help="enable extensions tab regardless of other options")

-parser.add_argument("--codeformer-models-path", type=str, help="Path to directory with codeformer model file(s).", default=os.path.join(models_path, 'Codeformer'))

-parser.add_argument("--gfpgan-models-path", type=str, help="Path to directory with GFPGAN model file(s).", default=os.path.join(models_path, 'GFPGAN'))

-parser.add_argument("--esrgan-models-path", type=str, help="Path to directory with ESRGAN model file(s).", default=os.path.join(models_path, 'ESRGAN'))

-parser.add_argument("--bsrgan-models-path", type=str, help="Path to directory with BSRGAN model file(s).", default=os.path.join(models_path, 'BSRGAN'))

-parser.add_argument("--realesrgan-models-path", type=str, help="Path to directory with RealESRGAN model file(s).", default=os.path.join(models_path, 'RealESRGAN'))

-parser.add_argument("--clip-models-path", type=str, help="Path to directory with CLIP model file(s).", default=None)

-parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers")

-parser.add_argument("--force-enable-xformers", action='store_true', help="enable xformers for cross attention layers regardless of whether the checking code thinks you can run it; do not make bug reports if this fails to work")

-parser.add_argument("--xformers-flash-attention", action='store_true', help="enable xformers with Flash Attention to improve reproducibility (supported for SD2.x or variant only)")

-parser.add_argument("--deepdanbooru", action='store_true', help="does not do anything")

-parser.add_argument("--opt-split-attention", action='store_true', help="force-enables Doggettx's cross-attention layer optimization. By default, it's on for torch cuda.")

-parser.add_argument("--opt-sub-quad-attention", action='store_true', help="enable memory efficient sub-quadratic cross-attention layer optimization")

-parser.add_argument("--sub-quad-q-chunk-size", type=int, help="query chunk size for the sub-quadratic cross-attention layer optimization to use", default=1024)

-parser.add_argument("--sub-quad-kv-chunk-size", type=int, help="kv chunk size for the sub-quadratic cross-attention layer optimization to use", default=None)

-parser.add_argument("--sub-quad-chunk-threshold", type=int, help="the percentage of VRAM threshold for the sub-quadratic cross-attention layer optimization to use chunking", default=None)

-parser.add_argument("--opt-split-attention-invokeai", action='store_true', help="force-enables InvokeAI's cross-attention layer optimization. By default, it's on when cuda is unavailable.")

-parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")

-parser.add_argument("--opt-sdp-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization; requires PyTorch 2.*")

-parser.add_argument("--opt-sdp-no-mem-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization without memory efficient attention, makes image generation deterministic; requires PyTorch 2.*")

-parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")

-parser.add_argument("--disable-nan-check", action='store_true', help="do not check if produced images/latent spaces have nans; useful for running without a checkpoint in CI")

-parser.add_argument("--use-cpu", nargs='+', help="use CPU as torch device for specified modules", default=[], type=str.lower)

-parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")

-parser.add_argument("--port", type=int, help="launch gradio with given server port, you need root/admin rights for ports < 1024, defaults to 7860 if available", default=None)

-parser.add_argument("--show-negative-prompt", action='store_true', help="does not do anything", default=False)

-parser.add_argument("--ui-config-file", type=str, help="filename to use for ui configuration", default=os.path.join(data_path, 'ui-config.json'))

-parser.add_argument("--hide-ui-dir-config", action='store_true', help="hide directory configuration from webui", default=False)

-parser.add_argument("--freeze-settings", action='store_true', help="disable editing settings", default=False)

-parser.add_argument("--ui-settings-file", type=str, help="filename to use for ui settings", default=os.path.join(data_path, 'config.json'))

-parser.add_argument("--gradio-debug",  action='store_true', help="launch gradio with --debug option")

-parser.add_argument("--gradio-auth", type=str, help='set gradio authentication like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)

-parser.add_argument("--gradio-auth-path", type=str, help='set gradio authentication file path ex. "/path/to/auth/file" same auth format as --gradio-auth', default=None)

-parser.add_argument("--gradio-img2img-tool", type=str, help='does not do anything')

-parser.add_argument("--gradio-inpaint-tool", type=str, help="does not do anything")

-parser.add_argument("--opt-channelslast", action='store_true', help="change memory type for stable diffusion to channels last")

-parser.add_argument("--styles-file", type=str, help="filename to use for styles", default=os.path.join(data_path, 'styles.csv'))

-parser.add_argument("--autolaunch", action='store_true', help="open the webui URL in the system's default browser upon launch", default=False)

-parser.add_argument("--theme", type=str, help="launches the UI with light or dark theme", default=None)

-parser.add_argument("--use-textbox-seed", action='store_true', help="use textbox for seeds in UI (no up/down, but possible to input long seeds)", default=False)

-parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)

-parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)

-parser.add_argument('--vae-path', type=str, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)

-parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)

-parser.add_argument("--api", action='store_true', help="use api=True to launch the API together with the webui (use --nowebui instead for only the API)")

-parser.add_argument("--api-auth", type=str, help='Set authentication for API like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)

-parser.add_argument("--api-log", action='store_true', help="use api-log=True to enable logging of all API requests")

-parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the API instead of the webui")

-parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")

-parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)

-parser.add_argument("--administrator", action='store_true', help="Administrator rights", default=False)

-parser.add_argument("--cors-allow-origins", type=str, help="Allowed CORS origin(s) in the form of a comma-separated list (no spaces)", default=None)

-parser.add_argument("--cors-allow-origins-regex", type=str, help="Allowed CORS origin(s) in the form of a single regular expression", default=None)

-parser.add_argument("--tls-keyfile", type=str, help="Partially enables TLS, requires --tls-certfile to fully function", default=None)

-parser.add_argument("--tls-certfile", type=str, help="Partially enables TLS, requires --tls-keyfile to fully function", default=None)

-parser.add_argument("--server-name", type=str, help="Sets hostname of server", default=None)

-parser.add_argument("--gradio-queue", action='store_true', help="does not do anything", default=True)

-parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gradio queue; causes the webpage to use http requests instead of websockets; was the defaul in earlier versions")

-parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")

-parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)

-parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)

-

-

-script_loading.preload_extensions(extensions.extensions_dir, parser)

-script_loading.preload_extensions(extensions.extensions_builtin_dir, parser)

+parser = cmd_args.parser

+

+script_loading.preload_extensions(extensions_dir, parser)

+script_loading.preload_extensions(extensions_builtin_dir, parser)

 

 if os.environ.get('IGNORE_CMD_ARGS_ERRORS', None) is None:

     cmd_opts = parser.parse_args()

 else:

     cmd_opts, _ = parser.parse_known_args()

 

+

 restricted_opts = {

     "samples_filename_pattern",

     "directories_filename_pattern",