Upload 14 files

config.json

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+{"samples_save": true, "samples_format": "png", "samples_filename_pattern": "", "grid_save": true, "grid_format": "png", "grid_extended_filename": false, "grid_only_if_multiple": true, "n_rows": -1, "enable_pnginfo": true, "save_txt": true, "save_images_before_face_restoration": false, "jpeg_quality": 80, "export_for_4chan": true, "use_original_name_batch": false, "save_selected_only": true, "outdir_samples": "", "outdir_txt2img_samples": "outputs/txt2img-images", "outdir_img2img_samples": "outputs/img2img-images", "outdir_extras_samples": "outputs/extras-images", "outdir_grids": "", "outdir_txt2img_grids": "outputs/txt2img-grids", "outdir_img2img_grids": "outputs/img2img-grids", "outdir_save": "log/images", "save_to_dirs": true, "grid_save_to_dirs": true, "use_save_to_dirs_for_ui": false, "directories_filename_pattern": "", "directories_max_prompt_words": 8, "ESRGAN_tile": 192, "ESRGAN_tile_overlap": 43, "realesrgan_enabled_models": ["R-ESRGAN x4+", "R-ESRGAN x4+ Anime6B"], "SWIN_tile": 192, "SWIN_tile_overlap": 8, "ldsr_steps": 100, "upscaler_for_img2img": "SwinIR_4x", "face_restoration_model": null, "code_former_weight": 0.5, "face_restoration_unload": false, "memmon_poll_rate": 8, "samples_log_stdout": false, "multiple_tqdm": true, "sd_model_checkpoint": "final-pruned.ckpt [925997e9]", "sd_hypernetwork": "None", "img2img_color_correction": false, "save_images_before_color_correction": false, "img2img_fix_steps": false, "enable_quantization": false, "enable_emphasis": true, "use_old_emphasis_implementation": false, "enable_batch_seeds": true, "filter_nsfw": false, "CLIP_ignore_last_layers": 0, "random_artist_categories": [], "interrogate_keep_models_in_memory": false, "interrogate_use_builtin_artists": true, "interrogate_clip_num_beams": 1, "interrogate_clip_min_length": 24, "interrogate_clip_max_length": 48, "interrogate_clip_dict_limit": 1500.0, "show_progressbar": true, "show_progress_every_n_steps": 0, "return_grid": true, "do_not_show_images": false, "add_model_hash_to_info": true, "add_model_name_to_info": false, "font": "", "js_modal_lightbox": true, "js_modal_lightbox_initially_zoomed": true, "show_progress_in_title": true, "hide_samplers": [], "eta_ddim": 0, "eta_ancestral": 1, "ddim_discretize": "uniform", "s_churn": 0, "s_tmin": 0, "s_noise": 1, "do_not_add_watermark": false, "unload_models_when_training": false, "dataset_filename_word_regex": "", "dataset_filename_join_string": " ", "training_image_repeats_per_epoch": 100, "comma_padding_backtrack": 20, "CLIP_stop_at_last_layers": 1, "interrogate_deepbooru_score_threshold": 0.5, "deepbooru_sort_alpha": true, "eta_noise_seed_delta": 0, "quicksettings": "sd_model_checkpoint", "interrogate_return_ranks": false, "deepbooru_use_spaces": false, "deepbooru_escape": true, "grid_prevent_empty_spots": false, "training_write_csv_every": 500.0, "sd_hypernetwork_strength": 1}

launch.py

@@ -0,0 +1,181 @@
+# this scripts installs necessary requirements and launches main program in webui.py
+import subprocess
+import os
+import sys
+import importlib.util
+import shlex
+import platform
+
+dir_repos = "repositories"
+python = sys.executable
+git = os.environ.get('GIT', "git")
+index_url = os.environ.get('INDEX_URL', "")
+
+
+def extract_arg(args, name):
+    return [x for x in args if x != name], name in args
+
+
+def run(command, desc=None, errdesc=None):
+    if desc is not None:
+        print(desc)
+
+    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
+
+    if result.returncode != 0:
+
+        message = f"""{errdesc or 'Error running command'}.
+Command: {command}
+Error code: {result.returncode}
+stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'}
+stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'}
+"""
+        raise RuntimeError(message)
+
+    return result.stdout.decode(encoding="utf8", errors="ignore")
+
+
+def check_run(command):
+    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
+    return result.returncode == 0
+
+
+def is_installed(package):
+    try:
+        spec = importlib.util.find_spec(package)
+    except ModuleNotFoundError:
+        return False
+
+    return spec is not None
+
+
+def repo_dir(name):
+    return os.path.join(dir_repos, name)
+
+
+def run_python(code, desc=None, errdesc=None):
+    return run(f'"{python}" -c "{code}"', desc, errdesc)
+
+
+def run_pip(args, desc=None):
+    index_url_line = f' --index-url {index_url}' if index_url != '' else ''
+    return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}")
+
+
+def check_run_python(code):
+    return check_run(f'"{python}" -c "{code}"')
+
+
+def git_clone(url, dir, name, commithash=None):
+    # TODO clone into temporary dir and move if successful
+
+    if os.path.exists(dir):
+        if commithash is None:
+            return
+
+        current_hash = run(f'"{git}" -C {dir} rev-parse HEAD', None, f"Couldn't determine {name}'s hash: {commithash}").strip()
+        if current_hash == commithash:
+            return
+
+        run(f'"{git}" -C {dir} fetch', f"Fetching updates for {name}...", f"Couldn't fetch {name}")
+        run(f'"{git}" -C {dir} checkout {commithash}', f"Checking out commit for {name} with hash: {commithash}...", f"Couldn't checkout commit {commithash} for {name}")
+        return
+
+    run(f'"{git}" clone "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}")
+
+    if commithash is not None:
+        run(f'"{git}" -C {dir} checkout {commithash}', None, "Couldn't checkout {name}'s hash: {commithash}")
+
+
+def prepare_enviroment():
+    torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113")
+    requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
+    commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
+
+    gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
+    clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
+    deepdanbooru_package = os.environ.get('DEEPDANBOORU_PACKAGE', "git+https://github.com/KichangKim/DeepDanbooru.git@edf73df4cdaeea2cf00e9ac08bd8a9026b7a7b26")
+
+    xformers_windows_package = os.environ.get('XFORMERS_WINDOWS_PACKAGE', 'https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl')
+
+    stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/CompVis/stable-diffusion.git")
+    taming_transformers_repo = os.environ.get('TAMING_REANSFORMERS_REPO', "https://github.com/CompVis/taming-transformers.git")
+    k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
+    codeformer_repo = os.environ.get('CODEFORMET_REPO', 'https://github.com/sczhou/CodeFormer.git')
+    blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
+
+    stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc")
+    taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
+    k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "f4e99857772fc3a126ba886aadf795a332774878")
+    codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
+    blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
+
+    args = shlex.split(commandline_args)
+
+    args, skip_torch_cuda_test = extract_arg(args, '--skip-torch-cuda-test')
+    args, reinstall_xformers = extract_arg(args, '--reinstall-xformers')
+    xformers = '--xformers' in args
+    deepdanbooru = '--deepdanbooru' in args
+    ngrok = '--ngrok' in args
+
+    try:
+        commit = run(f"{git} rev-parse HEAD").strip()
+    except Exception:
+        commit = "<none>"
+
+    print(f"Python {sys.version}")
+    print(f"Commit hash: {commit}")
+
+    if not is_installed("torch") or not is_installed("torchvision"):
+        run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch")
+
+    if not 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"):
+        run_pip(f"install {gfpgan_package}", "gfpgan")
+
+    if not is_installed("clip"):
+        run_pip(f"install {clip_package}", "clip")
+
+    if (not is_installed("xformers") or reinstall_xformers) and xformers and platform.python_version().startswith("3.10"):
+        if platform.system() == "Windows":
+            run_pip(f"install -U -I --no-deps {xformers_windows_package}", "xformers")
+        elif platform.system() == "Linux":
+            run_pip("install xformers", "xformers")
+
+    if not is_installed("deepdanbooru") and deepdanbooru:
+        run_pip(f"install {deepdanbooru_package}#egg=deepdanbooru[tensorflow] tensorflow==2.10.0 tensorflow-io==0.27.0", "deepdanbooru")
+
+    if not is_installed("pyngrok") and ngrok:
+        run_pip("install pyngrok", "ngrok")
+
+    os.makedirs(dir_repos, exist_ok=True)
+
+    git_clone(stable_diffusion_repo, repo_dir('stable-diffusion'), "Stable Diffusion", stable_diffusion_commit_hash)
+    git_clone(taming_transformers_repo, repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
+    git_clone(k_diffusion_repo, repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
+    git_clone(codeformer_repo, repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
+    git_clone(blip_repo, repo_dir('BLIP'), "BLIP", blip_commit_hash)
+
+    if not is_installed("lpips"):
+        run_pip(f"install -r {os.path.join(repo_dir('CodeFormer'), 'requirements.txt')}", "requirements for CodeFormer")
+
+    run_pip(f"install -r {requirements_file}", "requirements for Web UI")
+
+    sys.argv += args
+
+    if "--exit" in args:
+        print("Exiting because of --exit argument")
+        exit(0)
+
+
+def start_webui():
+    print(f"Launching Web UI with arguments: {' '.join(sys.argv[1:])}")
+    import webui
+    webui.webui()
+
+
+if __name__ == "__main__":
+    prepare_enviroment()
+    start_webui()

params.txt

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+white_shirt, 1girl, anchor_symbol, black_legwear, black_skirt, blue_eyes, eyebrows_visible_through_hair, hat, hibiki_\(kancolle\), long_hair, long_sleeves, neckerchief, pleated_skirt, red_neckerchief, sailor_collar, school_uniform, serafuku, silver_hair, skirt, thighhighs
+Negative prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad legs
+Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 295702703, Size: 384x384, Model hash: 925997e9, Batch size: 5, Batch pos: 0

prune.bat

@@ -0,0 +1,84 @@
+@echo off
+
+if not defined PYTHON (set PYTHON=python)
+if not defined GIT (set GIT=git)
+if not defined COMMANDLINE_ARGS (set COMMANDLINE_ARGS=%*)
+if not defined VENV_DIR (set VENV_DIR=venv)
+if not defined TORCH_COMMAND (set TORCH_COMMAND=pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113)
+if not defined REQS_FILE (set REQS_FILE=requirements_versions.txt)
+
+mkdir tmp 2>NUL
+
+%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :setup_venv
+echo Couldn't launch python
+goto :show_stdout_stderr
+
+:setup_venv
+if [%VENV_DIR%] == [-] goto :skip_venv
+
+dir %VENV_DIR%\Scripts\Python.exe >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+
+for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
+echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
+%PYTHON_FULLNAME% -m venv %VENV_DIR% >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+echo Unable to create venv in directory %VENV_DIR%
+goto :show_stdout_stderr
+
+:activate_venv
+set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
+%PYTHON% --version
+echo venv %PYTHON%
+goto :install_torch
+
+:skip_venv
+echo Skip
+%PYTHON% --version
+
+:install_torch
+%PYTHON% -c "import torch" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :check_gpu
+echo Installing torch...
+%PYTHON% -m %TORCH_COMMAND% >tmp/stdout.txt 2>tmp/stderr.txt
+
+if %ERRORLEVEL% == 0 goto :check_gpu
+echo Failed to install torch
+goto :show_stdout_stderr
+
+:check_gpu
+%PYTHON% -c "import torch; assert torch.cuda.is_available(), 'CUDA is not available'" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :launch
+echo Torch is not able to use GPU
+goto :show_stdout_stderr
+
+:launch
+echo Launching prune.py...
+%PYTHON% prune.py
+pause
+exit /b
+
+:show_stdout_stderr
+
+echo.
+echo exit code: %errorlevel%
+
+for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stdout:
+type tmp\stdout.txt
+
+:show_stderr
+for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stderr:
+type tmp\stderr.txt
+
+:endofscript
+
+echo.
+echo Launch unsuccessful. Exiting.
+pause

prune.py

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+import os
+from pathlib import Path
+import torch
+import argparse
+parser = argparse.ArgumentParser()
+args = parser.parse_args()
+
+
+def prune_it(p, keep_only_ema=True):
+    print(f"prunin' in path: {p}")
+    size_initial = os.path.getsize(p)
+    nsd = dict()
+    sd = torch.load(p, map_location="cpu")
+    print(sd.keys())
+    for k in sd.keys():
+        if k != "optimizer_states":
+            nsd[k] = sd[k]
+    else:
+        print(f"removing optimizer states for path {p}")
+    if "global_step" in sd:
+        print(f"This is global step {sd['global_step']}.")
+    if keep_only_ema:
+        sd = nsd["state_dict"].copy()
+        # infer ema keys
+        ema_keys = {k: "model_ema." + k[6:].replace(".", "") for k in sd.keys() if k.startswith('model.')}
+        new_sd = dict()
+
+        for k in sd:
+            if k in ema_keys:
+                print(k, ema_keys[k])
+                new_sd[k] = sd[ema_keys[k]]
+            elif not k.startswith("model_ema.") or k in ["model_ema.num_updates", "model_ema.decay"]:
+                new_sd[k] = sd[k]
+
+        assert len(new_sd) == len(sd) - len(ema_keys)
+        nsd["state_dict"] = new_sd
+    else:
+        sd = nsd['state_dict'].copy()
+        new_sd = dict()
+        for k in sd:
+            new_sd[k] = sd[k]
+        nsd['state_dict'] = new_sd
+
+    fn = f"{os.path.splitext(p)[0]}-pruned.ckpt" if not keep_only_ema else f"{os.path.splitext(p)[0]}-ema-pruned.ckpt"
+    print(f"saving pruned checkpoint at: {fn}")
+    torch.save(nsd, fn)
+    newsize = os.path.getsize(fn)
+    MSG = f"New ckpt size: {newsize*1e-9:.2f} GB. " + \
+          f"Saved {(size_initial - newsize)*1e-9:.2f} GB by removing optimizer states"
+    if keep_only_ema:
+        MSG += " and non-EMA weights"
+    print(MSG)
+
+
+if __name__ == "__main__":
+    prune_it('wd-v1-2-full-ema.ckpt')

requirements.txt

@@ -0,0 +1,25 @@
+basicsr
+diffusers
+fairscale==0.4.4
+fonts
+font-roboto
+gfpgan
+gradio==3.5
+invisible-watermark
+numpy
+omegaconf
+piexif
+Pillow
+pytorch_lightning
+realesrgan
+scikit-image>=0.19
+timm==0.4.12
+transformers==4.19.2
+torch
+einops
+jsonmerge
+clean-fid
+resize-right
+torchdiffeq
+kornia
+lark

requirements_versions.txt

@@ -0,0 +1,24 @@
+transformers==4.19.2
+diffusers==0.3.0
+basicsr==1.4.2
+gfpgan==1.3.8
+gradio==3.5
+numpy==1.23.3
+Pillow==9.2.0
+realesrgan==0.3.0
+torch
+omegaconf==2.2.3
+pytorch_lightning==1.7.6
+scikit-image==0.19.2
+fonts
+font-roboto
+timm==0.6.7
+fairscale==0.4.9
+piexif==1.1.3
+einops==0.4.1
+jsonmerge==1.8.0
+clean-fid==0.1.29
+resize-right==0.0.2
+torchdiffeq==0.2.3
+kornia==0.6.7
+lark==1.1.2

script.js

@@ -0,0 +1,85 @@
+function gradioApp(){
+    return document.getElementsByTagName('gradio-app')[0].shadowRoot;
+}
+
+function get_uiCurrentTab() {
+    return gradioApp().querySelector('.tabs button:not(.border-transparent)')
+}
+
+function get_uiCurrentTabContent() {
+    return gradioApp().querySelector('.tabitem[id^=tab_]:not([style*="display: none"])')
+}
+
+uiUpdateCallbacks = []
+uiTabChangeCallbacks = []
+let uiCurrentTab = null
+
+function onUiUpdate(callback){
+    uiUpdateCallbacks.push(callback)
+}
+function onUiTabChange(callback){
+    uiTabChangeCallbacks.push(callback)
+}
+
+function runCallback(x){
+    try {
+        x()
+    } catch (e) {
+        (console.error || console.log).call(console, e.message, e);
+    }
+}
+function executeCallbacks(queue) {
+    queue.forEach(runCallback)
+}
+
+document.addEventListener("DOMContentLoaded", function() {
+    var mutationObserver = new MutationObserver(function(m){
+        executeCallbacks(uiUpdateCallbacks);
+        const newTab = get_uiCurrentTab();
+        if ( newTab && ( newTab !== uiCurrentTab ) ) {
+            uiCurrentTab = newTab;
+            executeCallbacks(uiTabChangeCallbacks);
+        }
+    });
+    mutationObserver.observe( gradioApp(), { childList:true, subtree:true })
+});
+
+/**
+ * Add a ctrl+enter as a shortcut to start a generation
+ */
+ document.addEventListener('keydown', function(e) {
+    var handled = false;
+    if (e.key !== undefined) {
+        if((e.key == "Enter" && (e.metaKey || e.ctrlKey || e.altKey))) handled = true;
+    } else if (e.keyCode !== undefined) {
+        if((e.keyCode == 13 && (e.metaKey || e.ctrlKey || e.altKey))) handled = true;
+    }
+    if (handled) {
+        button = get_uiCurrentTabContent().querySelector('button[id$=_generate]');
+        if (button) {
+            button.click();
+        }
+        e.preventDefault();
+    }
+})
+
+/**
+ * checks that a UI element is not in another hidden element or tab content
+ */
+function uiElementIsVisible(el) {
+    let isVisible = !el.closest('.\\!hidden');
+    if ( ! isVisible ) {
+        return false;
+    }
+
+    while( isVisible = el.closest('.tabitem')?.style.display !== 'none' ) {
+        if ( ! isVisible ) {
+            return false;
+        } else if ( el.parentElement ) {
+            el = el.parentElement
+        } else {
+            break;
+        }
+    }
+    return isVisible;
+}

style.css

@@ -0,0 +1,518 @@
+.container {
+    max-width: 100%;
+}
+
+#txt2img_token_counter {
+    height: 0px;
+}
+
+#img2img_token_counter {
+    height: 0px;
+}
+
+#sh{
+    min-width: 2em;
+    min-height: 2em;
+    max-width: 2em;
+    max-height: 2em;
+    flex-grow: 0;
+    padding-left: 0.25em;
+    padding-right: 0.25em;
+    margin: 0.1em 0;
+    opacity: 0%;
+    cursor: default;	
+}
+
+.output-html p {margin: 0 0.5em;}
+
+.row > *,
+.row > .gr-form > * {
+    min-width: min(120px, 100%);
+    flex: 1 1 0%;
+}
+
+.performance {
+    font-size: 0.85em;
+    color: #444;
+    display: flex;
+    justify-content: space-between;
+    white-space: nowrap;
+}
+
+.performance .time {
+    margin-right: 0;
+}
+
+.performance .vram {
+    margin-left: 0;
+    text-align: right;
+}
+
+#txt2img_generate, #img2img_generate {
+    min-height: 4.5em;
+}
+
+@media screen and (min-width: 2500px) {
+    #txt2img_gallery, #img2img_gallery {
+        min-height: 768px;
+    }
+}
+
+#txt2img_gallery img, #img2img_gallery img{
+    object-fit: scale-down;
+}
+
+.justify-center.overflow-x-scroll {
+    justify-content: left;
+}
+
+.justify-center.overflow-x-scroll button:first-of-type {
+    margin-left: auto;
+}
+
+.justify-center.overflow-x-scroll button:last-of-type {
+    margin-right: auto;
+}
+
+#random_seed, #random_subseed, #reuse_seed, #reuse_subseed, #open_folder{
+    min-width: auto;
+    flex-grow: 0;
+    padding-left: 0.25em;
+    padding-right: 0.25em;
+}
+
+#hidden_element{
+    display: none;
+}
+
+#seed_row, #subseed_row{
+    gap: 0.5rem;
+}
+
+#subseed_show_box{
+    min-width: auto;
+    flex-grow: 0;
+}
+
+#subseed_show_box > div{
+    border: 0;
+    height: 100%;
+}
+
+#subseed_show{
+    min-width: auto;
+    flex-grow: 0;
+    padding: 0;
+}
+
+#subseed_show label{
+    height: 100%;
+}
+
+#roll_col{
+    min-width: unset !important;
+    flex-grow: 0 !important;
+    padding: 0.4em 0;
+}
+
+#roll, #paste, #style_create, #style_apply{
+    min-width: 2em;
+    min-height: 2em;
+    max-width: 2em;
+    max-height: 2em;
+    flex-grow: 0;
+    padding-left: 0.25em;
+    padding-right: 0.25em;
+    margin: 0.1em 0;
+}
+
+#interrogate_col{
+    min-width: 0 !important;
+    max-width: 8em !important;
+}
+#interrogate, #deepbooru{
+    margin: 0em 0.25em 0.9em 0.25em;
+    min-width: 8em;
+    max-width: 8em;
+}
+
+#style_pos_col, #style_neg_col{
+    min-width: 8em !important;
+}
+
+#txt2img_style_index, #txt2img_style2_index, #img2img_style_index, #img2img_style2_index{
+    margin-top: 1em;
+}
+
+.gr-form{
+    background: transparent;
+}
+
+.my-4{
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+#toprow div{
+    border: none;
+    gap: 0;
+    background: transparent;
+}
+
+#resize_mode{
+    flex: 1.5;
+}
+
+button{
+    align-self: stretch !important;
+}
+
+.overflow-hidden, .gr-panel{
+    overflow: visible !important;
+}
+
+#x_type, #y_type{
+    max-width: 10em;
+}
+
+#txt2img_preview, #img2img_preview, #ti_preview{
+    position: absolute;
+    width: 320px;
+    left: 0;
+    right: 0;
+    margin-left: auto;
+    margin-right: auto;
+    margin-top: 34px;
+    z-index: 100;
+    border: none;
+    border-top-left-radius: 0;
+    border-top-right-radius: 0;
+}
+
+@media screen and (min-width: 768px) {
+    #txt2img_preview, #img2img_preview, #ti_preview {
+        position: absolute;
+    }
+}
+
+@media screen and (max-width: 767px) {
+    #txt2img_preview, #img2img_preview, #ti_preview {
+        position: relative;
+    }
+}
+
+#txt2img_preview div.left-0.top-0, #img2img_preview div.left-0.top-0, #ti_preview div.left-0.top-0{
+    display: none;
+}
+
+fieldset span.text-gray-500, .gr-block.gr-box span.text-gray-500,  label.block span{
+    position: absolute;
+    top: -0.6em;
+    line-height: 1.2em;
+    padding: 0 0.5em;
+    margin: 0;
+
+    background-color: white;
+    border-top: 1px solid #eee;
+    border-left: 1px solid #eee;
+    border-right: 1px solid #eee;
+
+    z-index: 300;
+}
+
+.dark fieldset span.text-gray-500, .dark .gr-block.gr-box span.text-gray-500, .dark label.block span{
+    background-color: rgb(31, 41, 55);
+    border-top: 1px solid rgb(55 65 81);
+    border-left: 1px solid rgb(55 65 81);
+    border-right: 1px solid rgb(55 65 81);
+}
+
+#settings fieldset span.text-gray-500, #settings .gr-block.gr-box span.text-gray-500, #settings label.block span{
+    position: relative;
+    border: none;
+    margin-right: 8em;
+}
+
+.gr-panel div.flex-col div.justify-between label span{
+    margin: 0;
+}
+
+#settings .gr-panel div.flex-col div.justify-between div{
+    position: relative;
+    z-index: 200;
+}
+
+input[type="range"]{
+    margin: 0.5em 0 -0.3em 0;
+}
+
+#txt2img_sampling label{
+    padding-left: 0.6em;
+    padding-right: 0.6em;
+}
+
+#mask_bug_info {
+  text-align: center;
+  display: block;
+  margin-top: -0.75em;
+  margin-bottom: -0.75em;
+}
+
+#txt2img_negative_prompt, #img2img_negative_prompt{
+}
+
+#txt2img_progressbar, #img2img_progressbar, #ti_progressbar{
+  position: absolute;
+  z-index: 1000;
+  right: 0;
+  padding-left: 5px;
+  padding-right: 5px;
+  display: block;
+}
+
+#txt2img_progress_row, #img2img_progress_row{
+  margin-bottom: 10px;
+  margin-top: -18px;
+}
+
+.progressDiv{
+  width: 100%;
+  height: 20px;
+  background: #b4c0cc;
+  border-radius: 8px;
+}
+
+.dark .progressDiv{
+  background: #424c5b;
+}
+
+.progressDiv .progress{
+  width: 0%;
+  height: 20px;
+  background: #0060df;
+  color: white;
+  font-weight: bold;
+  line-height: 20px;
+  padding: 0 8px 0 0;
+  text-align: right;
+  border-radius: 8px;
+}
+
+#lightboxModal{
+  display: none;
+  position: fixed;
+  z-index: 1001;
+  padding-top: 100px;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  overflow: auto;
+  background-color: rgba(20, 20, 20, 0.95);
+  user-select: none;
+  -webkit-user-select: none;
+}
+
+.modalControls {
+    display: grid;
+    grid-template-columns: 32px auto 1fr 32px;
+    grid-template-areas: "zoom tile space close";
+    position: absolute;
+    top: 0;
+    left: 0;
+    right: 0;
+    padding: 16px;
+    gap: 16px;
+    background-color: rgba(0,0,0,0.2);
+}
+
+.modalClose {
+    grid-area: close;
+}
+
+.modalZoom {
+    grid-area: zoom;
+}
+
+.modalTileImage {
+    grid-area: tile;
+}
+
+.modalClose, 
+.modalZoom,
+.modalTileImage {
+  color: white;
+  font-size: 35px;
+  font-weight: bold;
+  cursor: pointer;
+}
+
+.modalClose:hover,
+.modalClose:focus,
+.modalZoom:hover,
+.modalZoom:focus {
+  color: #999;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+#modalImage {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+    margin-top: auto;
+    width: auto;
+}
+
+.modalImageFullscreen {
+    object-fit: contain;
+    height: 90%;
+}
+
+.modalPrev,
+.modalNext {
+  cursor: pointer;
+  position: absolute;
+  top: 50%;
+  width: auto;
+  padding: 16px;
+  margin-top: -50px;
+  color: white;
+  font-weight: bold;
+  font-size: 20px;
+  transition: 0.6s ease;
+  border-radius: 0 3px 3px 0;
+  user-select: none;
+  -webkit-user-select: none;
+}
+
+.modalNext {
+  right: 0;
+  border-radius: 3px 0 0 3px;
+}
+
+.modalPrev:hover,
+.modalNext:hover {
+  background-color: rgba(0, 0, 0, 0.8);
+}
+
+#imageARPreview{
+    position:absolute;
+    top:0px;
+    left:0px;
+    border:2px solid red;
+    background:rgba(255, 0, 0, 0.3);
+    z-index: 900;
+    pointer-events:none;
+    display:none
+}
+
+#txt2img_interrupt, #img2img_interrupt{
+  position: absolute;
+  width: 50%;
+  height: 72px;
+  background: #b4c0cc;
+  border-radius: 0px;
+  display: none;
+}
+
+#txt2img_skip, #img2img_skip{
+  position: absolute;
+  width: 50%;
+  right: 0px;
+  height: 72px;
+  background: #b4c0cc;
+  border-radius: 0px;
+  display: none;
+}
+
+.red {
+	color: red;
+}
+
+.gallery-item {
+    --tw-bg-opacity: 0 !important;
+}
+
+#context-menu{
+    z-index:9999;
+    position:absolute;
+    display:block;
+    padding:0px 0;
+    border:2px solid #a55000;
+    border-radius:8px;
+    box-shadow:1px 1px 2px #CE6400;
+    width: 200px;
+}
+
+.context-menu-items{
+    list-style: none;
+    margin: 0;
+    padding: 0;
+}
+
+.context-menu-items a{
+    display:block;
+    padding:5px;
+    cursor:pointer;
+}
+
+.context-menu-items a:hover{
+    background: #a55000;
+}
+
+#quicksettings {
+    gap: 0.4em;
+}
+
+#quicksettings > div{
+    border: none;
+    background: none;
+    flex: unset;
+    gap: 0.5em;
+}
+
+#quicksettings > div > div{
+    max-width: 32em;
+    min-width: 24em;
+    padding: 0;
+}
+
+#refresh_sd_model_checkpoint, #refresh_sd_hypernetwork, #refresh_train_hypernetwork_name, #refresh_train_embedding_name{
+    max-width: 2.5em;
+    min-width: 2.5em;
+    height: 2.4em;
+}
+
+
+canvas[key="mask"] {
+    z-index: 12 !important;
+    filter: invert();
+    mix-blend-mode: multiply;
+    pointer-events: none;
+}
+
+
+/* gradio 3.4.1 stuff for editable scrollbar values */
+.gr-box > div > div > input.gr-text-input{
+    position: absolute;
+    right: 0.5em;
+    top: -0.6em;
+    z-index: 200;
+    width: 8em;
+}
+#quicksettings .gr-box > div > div > input.gr-text-input {
+  top: -1.12em;
+}
+
+.row.gr-compact{
+    overflow: visible;
+}
+
+#img2img_image, #img2img_image > .h-60, #img2img_image > .h-60 > div, #img2img_image > .h-60 > div > img,
+img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h-60 > div > img
+{
+    height: 480px !important;
+    max-height: 480px !important;
+    min-height: 480px !important;
+}

ui-config.json

@@ -0,0 +1,292 @@
+{
+    "txt2img/Prompt/visible": true,
+    "txt2img/Prompt/value": "",
+    "txt2img/Negative prompt/visible": true,
+    "txt2img/Negative prompt/value": "",
+    "txt2img/Sampling Steps/visible": true,
+    "txt2img/Sampling Steps/value": 20,
+    "txt2img/Sampling Steps/minimum": 1,
+    "txt2img/Sampling Steps/maximum": 150,
+    "txt2img/Sampling Steps/step": 1,
+    "txt2img/Sampling method/visible": true,
+    "txt2img/Sampling method/value": "Euler a",
+    "txt2img/Width/visible": true,
+    "txt2img/Width/value": 512,
+    "txt2img/Width/minimum": 64,
+    "txt2img/Width/maximum": 2048,
+    "txt2img/Width/step": 64,
+    "txt2img/Height/visible": true,
+    "txt2img/Height/value": 512,
+    "txt2img/Height/minimum": 64,
+    "txt2img/Height/maximum": 2048,
+    "txt2img/Height/step": 64,
+    "txt2img/Restore faces/visible": true,
+    "txt2img/Restore faces/value": false,
+    "txt2img/Tiling/visible": true,
+    "txt2img/Tiling/value": false,
+    "txt2img/Highres. fix/visible": true,
+    "txt2img/Highres. fix/value": false,
+    "txt2img/Scale latent/visible": true,
+    "txt2img/Scale latent/value": false,
+    "txt2img/Denoising strength/visible": true,
+    "txt2img/Denoising strength/value": 0.7,
+    "txt2img/Denoising strength/minimum": 0.0,
+    "txt2img/Denoising strength/maximum": 1.0,
+    "txt2img/Denoising strength/step": 0.01,
+    "txt2img/Batch count/visible": true,
+    "txt2img/Batch count/value": 1,
+    "txt2img/Batch count/minimum": 1,
+    "txt2img/Batch count/maximum": 16,
+    "txt2img/Batch count/step": 1,
+    "txt2img/Batch size/visible": true,
+    "txt2img/Batch size/value": 1,
+    "txt2img/Batch size/minimum": 1,
+    "txt2img/Batch size/maximum": 8,
+    "txt2img/Batch size/step": 1,
+    "txt2img/CFG Scale/visible": true,
+    "txt2img/CFG Scale/value": 7.0,
+    "txt2img/CFG Scale/minimum": 1.0,
+    "txt2img/CFG Scale/maximum": 30.0,
+    "txt2img/CFG Scale/step": 0.5,
+    "txt2img/Seed/visible": true,
+    "txt2img/Seed/value": -1.0,
+    "txt2img/Extra/visible": true,
+    "txt2img/Extra/value": false,
+    "txt2img/Variation seed/visible": true,
+    "txt2img/Variation seed/value": -1.0,
+    "txt2img/Variation strength/visible": true,
+    "txt2img/Variation strength/value": 0.0,
+    "txt2img/Variation strength/minimum": 0,
+    "txt2img/Variation strength/maximum": 1,
+    "txt2img/Variation strength/step": 0.01,
+    "txt2img/Resize seed from width/visible": true,
+    "txt2img/Resize seed from width/value": 0,
+    "txt2img/Resize seed from width/minimum": 0,
+    "txt2img/Resize seed from width/maximum": 2048,
+    "txt2img/Resize seed from width/step": 64,
+    "txt2img/Resize seed from height/visible": true,
+    "txt2img/Resize seed from height/value": 0,
+    "txt2img/Resize seed from height/minimum": 0,
+    "txt2img/Resize seed from height/maximum": 2048,
+    "txt2img/Resize seed from height/step": 64,
+    "customscript/prompt_matrix.py/txt2img/Put variable parts at start of prompt/value": false,
+    "customscript/prompts_from_file.py/txt2img/Show Textbox/value": false,
+    "customscript/xy_grid.py/txt2img/X values/value": "",
+    "customscript/xy_grid.py/txt2img/Y values/value": "",
+    "customscript/xy_grid.py/txt2img/Draw legend/value": true,
+    "customscript/xy_grid.py/txt2img/Keep -1 for seeds/value": false,
+    "txt2img/Make Zip when Save?/visible": true,
+    "txt2img/Make Zip when Save?/value": false,
+    "img2img/Prompt/visible": true,
+    "img2img/Prompt/value": "",
+    "img2img/Negative prompt/visible": true,
+    "img2img/Negative prompt/value": "",
+    "img2img/Mask blur/visible": true,
+    "img2img/Mask blur/value": 4,
+    "img2img/Mask blur/minimum": 0,
+    "img2img/Mask blur/maximum": 64,
+    "img2img/Mask blur/step": 1,
+    "img2img/Mask mode/visible": true,
+    "img2img/Mask mode/value": "Draw mask",
+    "img2img/Masking mode/visible": true,
+    "img2img/Masking mode/value": "Inpaint masked",
+    "img2img/Masked content/visible": true,
+    "img2img/Masked content/value": "original",
+    "img2img/Inpaint at full resolution/visible": true,
+    "img2img/Inpaint at full resolution/value": false,
+    "img2img/Inpaint at full resolution padding, pixels/visible": true,
+    "img2img/Inpaint at full resolution padding, pixels/value": 32,
+    "img2img/Inpaint at full resolution padding, pixels/minimum": 0,
+    "img2img/Inpaint at full resolution padding, pixels/maximum": 256,
+    "img2img/Inpaint at full resolution padding, pixels/step": 4,
+    "img2img/Input directory/visible": true,
+    "img2img/Input directory/value": "",
+    "img2img/Output directory/visible": true,
+    "img2img/Output directory/value": "",
+    "img2img/Resize mode/visible": true,
+    "img2img/Resize mode/value": "Just resize",
+    "img2img/Sampling Steps/visible": true,
+    "img2img/Sampling Steps/value": 20,
+    "img2img/Sampling Steps/minimum": 1,
+    "img2img/Sampling Steps/maximum": 150,
+    "img2img/Sampling Steps/step": 1,
+    "img2img/Sampling method/visible": true,
+    "img2img/Sampling method/value": "Euler a",
+    "img2img/Width/visible": true,
+    "img2img/Width/value": 512,
+    "img2img/Width/minimum": 64,
+    "img2img/Width/maximum": 2048,
+    "img2img/Width/step": 64,
+    "img2img/Height/visible": true,
+    "img2img/Height/value": 512,
+    "img2img/Height/minimum": 64,
+    "img2img/Height/maximum": 2048,
+    "img2img/Height/step": 64,
+    "img2img/Restore faces/visible": true,
+    "img2img/Restore faces/value": false,
+    "img2img/Tiling/visible": true,
+    "img2img/Tiling/value": false,
+    "img2img/Batch count/visible": true,
+    "img2img/Batch count/value": 1,
+    "img2img/Batch count/minimum": 1,
+    "img2img/Batch count/maximum": 16,
+    "img2img/Batch count/step": 1,
+    "img2img/Batch size/visible": true,
+    "img2img/Batch size/value": 1,
+    "img2img/Batch size/minimum": 1,
+    "img2img/Batch size/maximum": 8,
+    "img2img/Batch size/step": 1,
+    "img2img/CFG Scale/visible": true,
+    "img2img/CFG Scale/value": 7.0,
+    "img2img/CFG Scale/minimum": 1.0,
+    "img2img/CFG Scale/maximum": 30.0,
+    "img2img/CFG Scale/step": 0.5,
+    "img2img/Denoising strength/visible": true,
+    "img2img/Denoising strength/value": 0.75,
+    "img2img/Denoising strength/minimum": 0.0,
+    "img2img/Denoising strength/maximum": 1.0,
+    "img2img/Denoising strength/step": 0.01,
+    "img2img/Seed/visible": true,
+    "img2img/Seed/value": -1.0,
+    "img2img/Extra/visible": true,
+    "img2img/Extra/value": false,
+    "img2img/Variation seed/visible": true,
+    "img2img/Variation seed/value": -1.0,
+    "img2img/Variation strength/visible": true,
+    "img2img/Variation strength/value": 0.0,
+    "img2img/Variation strength/minimum": 0,
+    "img2img/Variation strength/maximum": 1,
+    "img2img/Variation strength/step": 0.01,
+    "img2img/Resize seed from width/visible": true,
+    "img2img/Resize seed from width/value": 0,
+    "img2img/Resize seed from width/minimum": 0,
+    "img2img/Resize seed from width/maximum": 2048,
+    "img2img/Resize seed from width/step": 64,
+    "img2img/Resize seed from height/visible": true,
+    "img2img/Resize seed from height/value": 0,
+    "img2img/Resize seed from height/minimum": 0,
+    "img2img/Resize seed from height/maximum": 2048,
+    "img2img/Resize seed from height/step": 64,
+    "customscript/img2imgalt.py/img2img/Original prompt/value": "",
+    "customscript/img2imgalt.py/img2img/Original negative prompt/value": "",
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/value": 1.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/minimum": 0.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/maximum": 15.0,
+    "customscript/img2imgalt.py/img2img/Decode CFG scale/step": 0.1,
+    "customscript/img2imgalt.py/img2img/Decode steps/value": 50,
+    "customscript/img2imgalt.py/img2img/Decode steps/minimum": 1,
+    "customscript/img2imgalt.py/img2img/Decode steps/maximum": 150,
+    "customscript/img2imgalt.py/img2img/Decode steps/step": 1,
+    "customscript/img2imgalt.py/img2img/Randomness/value": 0.0,
+    "customscript/img2imgalt.py/img2img/Randomness/minimum": 0.0,
+    "customscript/img2imgalt.py/img2img/Randomness/maximum": 1.0,
+    "customscript/img2imgalt.py/img2img/Randomness/step": 0.01,
+    "customscript/img2imgalt.py/img2img/Sigma adjustment for finding noise for image/value": false,
+    "customscript/loopback.py/img2img/Loops/value": 4,
+    "customscript/loopback.py/img2img/Loops/minimum": 1,
+    "customscript/loopback.py/img2img/Loops/maximum": 32,
+    "customscript/loopback.py/img2img/Loops/step": 1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/value": 1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/minimum": 0.9,
+    "customscript/loopback.py/img2img/Denoising strength change factor/maximum": 1.1,
+    "customscript/loopback.py/img2img/Denoising strength change factor/step": 0.01,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/value": 128,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/minimum": 8,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/maximum": 256,
+    "customscript/outpainting_mk_2.py/img2img/Pixels to expand/step": 8,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/value": 8,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/minimum": 0,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/maximum": 64,
+    "customscript/outpainting_mk_2.py/img2img/Mask blur/step": 1,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/value": 1.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/minimum": 0.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/maximum": 4.0,
+    "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/step": 0.01,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/value": 0.05,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/minimum": 0.0,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/maximum": 1.0,
+    "customscript/outpainting_mk_2.py/img2img/Color variation/step": 0.01,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/value": 128,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/minimum": 8,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/maximum": 256,
+    "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/step": 8,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/value": 4,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/minimum": 0,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/maximum": 64,
+    "customscript/poor_mans_outpainting.py/img2img/Mask blur/step": 1,
+    "customscript/poor_mans_outpainting.py/img2img/Masked content/value": "fill",
+    "customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/value": false,
+    "customscript/prompts_from_file.py/img2img/Show Textbox/value": false,
+    "customscript/sd_upscale.py/img2img/Tile overlap/value": 64,
+    "customscript/sd_upscale.py/img2img/Tile overlap/minimum": 0,
+    "customscript/sd_upscale.py/img2img/Tile overlap/maximum": 256,
+    "customscript/sd_upscale.py/img2img/Tile overlap/step": 16,
+    "customscript/sd_upscale.py/img2img/Upscaler/value": "None",
+    "customscript/xy_grid.py/img2img/X values/value": "",
+    "customscript/xy_grid.py/img2img/Y values/value": "",
+    "customscript/xy_grid.py/img2img/Draw legend/value": true,
+    "customscript/xy_grid.py/img2img/Keep -1 for seeds/value": false,
+    "img2img/Make Zip when Save?/visible": true,
+    "img2img/Make Zip when Save?/value": false,
+    "extras/Resize/visible": true,
+    "extras/Resize/value": 2,
+    "extras/Resize/minimum": 1.0,
+    "extras/Resize/maximum": 4.0,
+    "extras/Resize/step": 0.05,
+    "extras/Upscaler 1/visible": true,
+    "extras/Upscaler 1/value": "None",
+    "extras/Upscaler 2/visible": true,
+    "extras/Upscaler 2/value": "None",
+    "extras/Upscaler 2 visibility/visible": true,
+    "extras/Upscaler 2 visibility/value": 1,
+    "extras/Upscaler 2 visibility/minimum": 0.0,
+    "extras/Upscaler 2 visibility/maximum": 1.0,
+    "extras/Upscaler 2 visibility/step": 0.001,
+    "extras/GFPGAN visibility/visible": true,
+    "extras/GFPGAN visibility/value": 0,
+    "extras/GFPGAN visibility/minimum": 0.0,
+    "extras/GFPGAN visibility/maximum": 1.0,
+    "extras/GFPGAN visibility/step": 0.001,
+    "extras/CodeFormer visibility/visible": true,
+    "extras/CodeFormer visibility/value": 0,
+    "extras/CodeFormer visibility/minimum": 0.0,
+    "extras/CodeFormer visibility/maximum": 1.0,
+    "extras/CodeFormer visibility/step": 0.001,
+    "extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true,
+    "extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0,
+    "extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
+    "extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
+    "extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
+    "extras/Width/visible": true,
+    "extras/Width/value": 512,
+    "extras/Height/visible": true,
+    "extras/Height/value": 512,
+    "extras/Crop to fit/visible": true,
+    "extras/Crop to fit/value": true,
+    "customscript/xy_grid.py/txt2img/Include Separate Images/value": true,
+    "customscript/xy_grid.py/img2img/Include Separate Images/value": true,
+    "customscript/img2imgalt.py/img2img/Override `Sampling method` to Euler?(this method is built for it)/value": true,
+    "customscript/img2imgalt.py/img2img/Override `prompt` to the same value as `original prompt`?(and `negative prompt`)/value": true,
+    "customscript/img2imgalt.py/img2img/Override `Sampling Steps` to the same value as `Decode steps`?/value": true,
+    "customscript/img2imgalt.py/img2img/Override `Denoising strength` to 1?/value": true,
+    "txt2img/Firstpass width/visible": true,
+    "txt2img/Firstpass width/value": 0,
+    "txt2img/Firstpass width/minimum": 0,
+    "txt2img/Firstpass width/maximum": 1024,
+    "txt2img/Firstpass width/step": 64,
+    "txt2img/Firstpass height/visible": true,
+    "txt2img/Firstpass height/value": 0,
+    "txt2img/Firstpass height/minimum": 0,
+    "txt2img/Firstpass height/maximum": 1024,
+    "txt2img/Firstpass height/step": 64,
+    "txt2img/Style 1/value": "None",
+    "txt2img/Style 2/value": "None",
+    "img2img/Style 1/value": "None",
+    "img2img/Style 2/value": "None",
+    "extras/Input directory/visible": true,
+    "extras/Input directory/value": "",
+    "extras/Output directory/visible": true,
+    "extras/Output directory/value": "",
+    "extras/Show result images/visible": true,
+    "extras/Show result images/value": true
+}

webui-user.sh

@@ -0,0 +1,43 @@
+#!/bin/bash
+#########################################################
+# Uncomment and change the variables below to your need:#
+#########################################################
+
+# Install directory without trailing slash
+#install_dir="/home/$(whoami)"
+
+# 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=""
+
+# python3 executable
+#python_cmd="python3"
+
+# git executable
+#export GIT="git"
+
+# python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
+#venv_dir="venv"
+
+# script to launch to start the app
+#export LAUNCH_SCRIPT="launch.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=""
+
+###########################################

webui.bat

@@ -0,0 +1,62 @@
+@echo off
+
+if not defined PYTHON (set PYTHON=python)
+if not defined VENV_DIR (set VENV_DIR=venv)
+
+set ERROR_REPORTING=FALSE
+
+mkdir tmp 2>NUL
+
+%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+echo Couldn't launch python
+goto :show_stdout_stderr
+
+:start_venv
+if [%VENV_DIR%] == [-] goto :skip_venv
+
+dir %VENV_DIR%\Scripts\Python.exe >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+
+for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
+echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
+%PYTHON_FULLNAME% -m venv %VENV_DIR% >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+echo Unable to create venv in directory %VENV_DIR%
+goto :show_stdout_stderr
+
+:activate_venv
+set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
+echo venv %PYTHON%
+goto :launch
+
+:skip_venv
+
+:launch
+%PYTHON% launch.py
+pause
+exit /b
+
+:show_stdout_stderr
+
+echo.
+echo exit code: %errorlevel%
+
+for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stdout:
+type tmp\stdout.txt
+
+:show_stderr
+for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stderr:
+type tmp\stderr.txt
+
+:endofscript
+
+echo.
+echo Launch unsuccessful. Exiting.
+pause

webui.py

@@ -0,0 +1,137 @@
+import os
+import threading
+import time
+import importlib
+import signal
+import threading
+
+from fastapi.middleware.gzip import GZipMiddleware
+
+from modules.paths import script_path
+
+from modules import devices, sd_samplers
+import modules.codeformer_model as codeformer
+import modules.extras
+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.shared as shared
+import modules.txt2img
+
+import modules.ui
+from modules import devices
+from modules import modelloader
+from modules.paths import script_path
+from modules.shared import cmd_opts
+import modules.hypernetworks.hypernetwork
+
+
+queue_lock = threading.Lock()
+
+
+def wrap_queued_call(func):
+    def f(*args, **kwargs):
+        with queue_lock:
+            res = func(*args, **kwargs)
+
+        return res
+
+    return f
+
+
+def wrap_gradio_gpu_call(func, extra_outputs=None):
+    def f(*args, **kwargs):
+        devices.torch_gc()
+
+        shared.state.sampling_step = 0
+        shared.state.job_count = -1
+        shared.state.job_no = 0
+        shared.state.job_timestamp = shared.state.get_job_timestamp()
+        shared.state.current_latent = None
+        shared.state.current_image = None
+        shared.state.current_image_sampling_step = 0
+        shared.state.skipped = False
+        shared.state.interrupted = False
+        shared.state.textinfo = None
+
+        with queue_lock:
+            res = func(*args, **kwargs)
+
+        shared.state.job = ""
+        shared.state.job_count = 0
+
+        devices.torch_gc()
+
+        return res
+
+    return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
+
+def initialize():
+    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.load_upscalers()
+
+    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
+
+    shared.sd_model = modules.sd_models.load_model()
+    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
+    shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))
+    shared.opts.onchange("sd_hypernetwork_strength", modules.hypernetworks.hypernetwork.apply_strength)
+
+
+def webui():
+    initialize()
+    
+    # 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)
+
+    while 1:
+
+        demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call)
+        
+        app, local_url, share_url = demo.launch(
+            share=cmd_opts.share,
+            server_name="0.0.0.0" if cmd_opts.listen else None,
+            server_port=cmd_opts.port,
+            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
+        )
+        
+        app.add_middleware(GZipMiddleware, minimum_size=1000)
+
+        while 1:
+            time.sleep(0.5)
+            if getattr(demo, 'do_restart', False):
+                time.sleep(0.5)
+                demo.close()
+                time.sleep(0.5)
+                break
+
+        sd_samplers.set_samplers()
+
+        print('Reloading Custom Scripts')
+        modules.scripts.reload_scripts(os.path.join(script_path, "scripts"))
+        print('Reloading modules: modules.ui')
+        importlib.reload(modules.ui)
+        print('Refreshing Model List')
+        modules.sd_models.list_models()
+        print('Restarting Gradio')
+
+
+if __name__ == "__main__":
+    webui()

webui.sh

@@ -0,0 +1,141 @@
+#!/bin/bash
+#################################################
+# Please do not make any changes to this file,  #
+# change the variables in webui-user.sh instead #
+#################################################
+# Read variables from webui-user.sh
+# shellcheck source=/dev/null
+if [[ -f webui-user.sh ]]
+then
+    source ./webui-user.sh
+fi
+
+# Set defaults
+# Install directory without trailing slash
+if [[ -z "${install_dir}" ]]
+then
+    install_dir="/home/$(whoami)"
+fi
+
+# Name of the subdirectory (defaults to stable-diffusion-webui)
+if [[ -z "${clone_dir}" ]]
+then
+    clone_dir="stable-diffusion-webui"
+fi
+
+# python3 executable
+if [[ -z "${python_cmd}" ]]
+then
+    python_cmd="python3"
+fi
+
+# git executable
+if [[ -z "${GIT}" ]]
+then
+    export GIT="git"
+fi
+
+# python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
+if [[ -z "${venv_dir}" ]]
+then
+    venv_dir="venv"
+fi
+
+if [[ -z "${LAUNCH_SCRIPT}" ]]
+then
+    LAUNCH_SCRIPT="launch.py"
+fi
+
+# Disable sentry logging
+export ERROR_REPORTING=FALSE
+
+# Do not reinstall existing pip packages on Debian/Ubuntu
+export PIP_IGNORE_INSTALLED=0
+
+# Pretty print
+delimiter="################################################################"
+
+printf "\n%s\n" "${delimiter}"
+printf "\e[1m\e[32mInstall script for stable-diffusion + Web UI\n"
+printf "\e[1m\e[34mTested on Debian 11 (Bullseye)\e[0m"
+printf "\n%s\n" "${delimiter}"
+
+# Do not run as root
+if [[ $(id -u) -eq 0 ]]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: This script must not be launched as root, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Running on \e[1m\e[32m%s\e[0m user" "$(whoami)"
+    printf "\n%s\n" "${delimiter}"
+fi
+
+if [[ -d .git ]]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "Repo already cloned, using it as install directory"
+    printf "\n%s\n" "${delimiter}"
+    install_dir="${PWD}/../"
+    clone_dir="${PWD##*/}"
+fi
+
+# Check prerequisites
+for preq in "${GIT}" "${python_cmd}"
+do
+    if ! hash "${preq}" &>/dev/null
+    then
+        printf "\n%s\n" "${delimiter}"
+        printf "\e[1m\e[31mERROR: %s is not installed, aborting...\e[0m" "${preq}"
+        printf "\n%s\n" "${delimiter}"
+        exit 1
+    fi
+done
+
+if ! "${python_cmd}" -c "import venv" &>/dev/null
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: python3-venv is not installed, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+fi
+
+printf "\n%s\n" "${delimiter}"
+printf "Clone or update stable-diffusion-webui"
+printf "\n%s\n" "${delimiter}"
+cd "${install_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/, aborting...\e[0m" "${install_dir}"; exit 1; }
+if [[ -d "${clone_dir}" ]]
+then
+    cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+    "${GIT}" pull
+else
+    "${GIT}" clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git "${clone_dir}"
+    cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+fi
+
+printf "\n%s\n" "${delimiter}"
+printf "Create and activate python venv"
+printf "\n%s\n" "${delimiter}"
+cd "${install_dir}"/"${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+if [[ ! -d "${venv_dir}" ]]
+then
+    "${python_cmd}" -m venv "${venv_dir}"
+    first_launch=1
+fi
+# shellcheck source=/dev/null
+if [[ -f "${venv_dir}"/bin/activate ]]
+then
+    source "${venv_dir}"/bin/activate
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: Cannot activate python venv, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+fi
+
+printf "\n%s\n" "${delimiter}"
+printf "Launching launch.py..."
+printf "\n%s\n" "${delimiter}"
+"${python_cmd}" "${LAUNCH_SCRIPT}"