Upload 23 files

.gitignore

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+__pycache__
+*.ckpt
+*.safetensors
+*.pth
+/ESRGAN/*
+/SwinIR/*
+/repositories
+/venv
+/tmp
+/model.ckpt
+/models/**/*
+/GFPGANv1.3.pth
+/gfpgan/weights/*.pth
+/ui-config.json
+/outputs
+/config.json
+/log
+/webui.settings.bat
+/embeddings
+/styles.csv
+/params.txt
+/styles.csv.bak
+/webui-user.bat
+/webui-user.sh
+/interrogate
+/user.css
+/.idea
+notification.mp3
+/SwinIR
+/textual_inversion
+.vscode
+/extensions
+/test/stdout.txt
+/test/stderr.txt
+/cache.json

.pylintrc

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+# See https://pylint.pycqa.org/en/latest/user_guide/messages/message_control.html
+[MESSAGES CONTROL]
+disable=C,R,W,E,I

CODEOWNERS

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+*       @AUTOMATIC1111
+
+# if you were managing a localization and were removed from this file, this is because
+# the intended way to do localizations now is via extensions. See:
+# https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Developing-extensions
+# Make a repo with your localization and since you are still listed as a collaborator
+# you can add it to the wiki page yourself. This change is because some people complained
+# the git commit log is cluttered with things unrelated to almost everyone and
+# because I believe this is the best overall for the project to handle localizations almost
+# entirely without my oversight.
+
+

LICENSE.txt

@@ -0,0 +1,663 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+                    Copyright (c) 2023 AUTOMATIC1111
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+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -1,16 +1,15 @@
 ---
 title: stable-diffusion-webui-master
-emoji: 📈
-colorFrom: gray
-colorTo: gray
+emoji: 🔥
+colorFrom: purple
+colorTo: purple
 sdk: gradio
-sdk_version: 3.23.0
-app_file: app.py
+sdk_version: 1.17.0
+app_file: launch.py
 pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 # Stable Diffusion web UI
@@ -174,4 +173,4 @@ Licenses for borrowed code can be found in `Settings -> Licenses` screen, and al
 - Security advice - RyotaK
 - UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
 - Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
-- (You)
+- (You)

cache.json

@@ -0,0 +1,20 @@
+{
+    "hashes": {
+        "checkpoint/model.ckpt": {
+            "mtime": 1679342746.017363,
+            "sha256": "cc6cb27103417325ff94f52b7a5d2dde45a7515b25c255d8e396c90014281516"
+        },
+        "checkpoint/v1-5-pruned-emaonly.safetensors": {
+            "mtime": 1679344200.2246766,
+            "sha256": "6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa"
+        },
+        "checkpoint/models\\Stable-diffusion\\v1-5-pruned-emaonly.safetensors": {
+            "mtime": 1679344200.2246766,
+            "sha256": "6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa"
+        },
+        "checkpoint/robo-diffusion-v2-base.ckpt": {
+            "mtime": 1679721004.834917,
+            "sha256": "60c4ea708f4648e5be9d8b1edadc0784d9fd97281f1bd88b6c92208ec36e312e"
+        }
+    }
+}

config.json

@@ -0,0 +1,156 @@
+{
+    "samples_save": true,
+    "samples_format": "png",
+    "samples_filename_pattern": "",
+    "save_images_add_number": true,
+    "grid_save": true,
+    "grid_format": "png",
+    "grid_extended_filename": false,
+    "grid_only_if_multiple": true,
+    "grid_prevent_empty_spots": false,
+    "n_rows": -1,
+    "enable_pnginfo": true,
+    "save_txt": false,
+    "save_images_before_face_restoration": false,
+    "save_images_before_highres_fix": false,
+    "save_images_before_color_correction": false,
+    "jpeg_quality": 80,
+    "webp_lossless": false,
+    "export_for_4chan": true,
+    "img_downscale_threshold": 4.0,
+    "target_side_length": 4000,
+    "img_max_size_mp": 200,
+    "use_original_name_batch": true,
+    "use_upscaler_name_as_suffix": false,
+    "save_selected_only": true,
+    "do_not_add_watermark": true,
+    "temp_dir": "",
+    "clean_temp_dir_at_start": false,
+    "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": "[date]",
+    "directories_max_prompt_words": 8,
+    "ESRGAN_tile": 192,
+    "ESRGAN_tile_overlap": 8,
+    "realesrgan_enabled_models": [
+        "R-ESRGAN 4x+",
+        "R-ESRGAN 4x+ Anime6B"
+    ],
+    "upscaler_for_img2img": null,
+    "face_restoration_model": "CodeFormer",
+    "code_former_weight": 0.5,
+    "face_restoration_unload": false,
+    "show_warnings": false,
+    "memmon_poll_rate": 12,
+    "samples_log_stdout": false,
+    "multiple_tqdm": true,
+    "print_hypernet_extra": false,
+    "unload_models_when_training": false,
+    "pin_memory": false,
+    "save_optimizer_state": false,
+    "save_training_settings_to_txt": true,
+    "dataset_filename_word_regex": "",
+    "dataset_filename_join_string": " ",
+    "training_image_repeats_per_epoch": 1,
+    "training_write_csv_every": 500,
+    "training_xattention_optimizations": false,
+    "training_enable_tensorboard": false,
+    "training_tensorboard_save_images": false,
+    "training_tensorboard_flush_every": 120,
+    "sd_model_checkpoint": "v1-5-pruned-emaonly.safetensors [6ce0161689]",
+    "sd_checkpoint_cache": 0,
+    "sd_vae_checkpoint_cache": 0,
+    "sd_vae": "Automatic",
+    "sd_vae_as_default": true,
+    "inpainting_mask_weight": 1.0,
+    "initial_noise_multiplier": 1.0,
+    "img2img_color_correction": false,
+    "img2img_fix_steps": false,
+    "img2img_background_color": "#ffffff",
+    "enable_quantization": false,
+    "enable_emphasis": true,
+    "enable_batch_seeds": true,
+    "comma_padding_backtrack": 20,
+    "CLIP_stop_at_last_layers": 1,
+    "upcast_attn": false,
+    "use_old_emphasis_implementation": false,
+    "use_old_karras_scheduler_sigmas": false,
+    "no_dpmpp_sde_batch_determinism": false,
+    "use_old_hires_fix_width_height": false,
+    "interrogate_keep_models_in_memory": false,
+    "interrogate_return_ranks": false,
+    "interrogate_clip_num_beams": 1,
+    "interrogate_clip_min_length": 24,
+    "interrogate_clip_max_length": 48,
+    "interrogate_clip_dict_limit": 1500,
+    "interrogate_clip_skip_categories": [],
+    "interrogate_deepbooru_score_threshold": 0.5,
+    "deepbooru_sort_alpha": true,
+    "deepbooru_use_spaces": false,
+    "deepbooru_escape": true,
+    "deepbooru_filter_tags": "",
+    "extra_networks_default_view": "cards",
+    "extra_networks_default_multiplier": 1.0,
+    "extra_networks_add_text_separator": " ",
+    "sd_hypernetwork": "None",
+    "return_grid": true,
+    "do_not_show_images": false,
+    "add_model_hash_to_info": true,
+    "add_model_name_to_info": true,
+    "disable_weights_auto_swap": true,
+    "send_seed": true,
+    "send_size": true,
+    "font": "",
+    "js_modal_lightbox": true,
+    "js_modal_lightbox_initially_zoomed": true,
+    "show_progress_in_title": true,
+    "samplers_in_dropdown": true,
+    "dimensions_and_batch_together": true,
+    "keyedit_precision_attention": 0.1,
+    "keyedit_precision_extra": 0.05,
+    "quicksettings": "sd_model_checkpoint",
+    "hidden_tabs": [],
+    "ui_reorder": "inpaint, sampler, checkboxes, hires_fix, dimensions, cfg, seed, batch, override_settings, scripts",
+    "ui_extra_networks_tab_reorder": "",
+    "localization": "None",
+    "show_progressbar": true,
+    "live_previews_enable": true,
+    "show_progress_grid": true,
+    "show_progress_every_n_steps": 10,
+    "show_progress_type": "Approx NN",
+    "live_preview_content": "Prompt",
+    "live_preview_refresh_period": 1000,
+    "hide_samplers": [],
+    "eta_ddim": 0.0,
+    "eta_ancestral": 1.0,
+    "ddim_discretize": "uniform",
+    "s_churn": 0.0,
+    "s_tmin": 0.0,
+    "s_noise": 1.0,
+    "eta_noise_seed_delta": 0,
+    "always_discard_next_to_last_sigma": false,
+    "uni_pc_variant": "bh1",
+    "uni_pc_skip_type": "time_uniform",
+    "uni_pc_order": 3,
+    "uni_pc_lower_order_final": true,
+    "postprocessing_enable_in_main_ui": [],
+    "postprocessing_operation_order": [],
+    "upscaling_max_images_in_cache": 5,
+    "disabled_extensions": [],
+    "sd_checkpoint_hash": "6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa",
+    "ldsr_steps": 100,
+    "ldsr_cached": false,
+    "SWIN_tile": 192,
+    "SWIN_tile_overlap": 8,
+    "sd_lora": "None",
+    "lora_apply_to_outputs": false
+}

environment-wsl2.yaml

@@ -0,0 +1,11 @@
+name: automatic
+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - python=3.10
+  - pip=22.2.2
+  - cudatoolkit=11.3
+  - pytorch=1.12.1
+  - torchvision=0.13.1
+  - numpy=1.23.1

model.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc6cb27103417325ff94f52b7a5d2dde45a7515b25c255d8e396c90014281516
+size 4265380512

params.txt

@@ -0,0 +1 @@
+Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1963504573, Size: 512x512, Model hash: cc6cb27103, Model: model

requirements.txt

@@ -0,0 +1,33 @@
+blendmodes
+accelerate
+basicsr
+fonts
+font-roboto
+gfpgan
+gradio==3.16.2
+invisible-watermark
+numpy
+omegaconf
+opencv-contrib-python
+requests
+piexif
+Pillow
+pytorch_lightning==1.7.7
+realesrgan
+scikit-image>=0.19
+timm==0.4.12
+transformers==4.25.1
+torch
+einops
+jsonmerge
+clean-fid
+resize-right
+torchdiffeq
+kornia
+lark
+inflection
+GitPython
+torchsde
+safetensors
+psutil
+streamlit

requirements_versions.txt

@@ -0,0 +1,31 @@
+blendmodes==2022
+transformers==4.25.1
+accelerate==0.12.0
+basicsr==1.4.2
+gfpgan==1.3.8
+gradio==3.16.2
+numpy==1.23.3
+Pillow==9.4.0
+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
+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
+inflection==0.5.1
+GitPython==3.1.30
+torchsde==0.2.5
+safetensors==0.2.7
+httpcore<=0.15
+fastapi==0.94.0
+streamlit==1.17.0

script.js

@@ -0,0 +1,102 @@
+function gradioApp() {
+    const elems = document.getElementsByTagName('gradio-app')
+    const gradioShadowRoot = elems.length == 0 ? null : elems[0].shadowRoot
+    return !!gradioShadowRoot ? gradioShadowRoot : document;
+}
+
+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 = []
+uiLoadedCallbacks = []
+uiTabChangeCallbacks = []
+optionsChangedCallbacks = []
+let uiCurrentTab = null
+
+function onUiUpdate(callback){
+    uiUpdateCallbacks.push(callback)
+}
+function onUiLoaded(callback){
+    uiLoadedCallbacks.push(callback)
+}
+function onUiTabChange(callback){
+    uiTabChangeCallbacks.push(callback)
+}
+function onOptionsChanged(callback){
+    optionsChangedCallbacks.push(callback)
+}
+
+function runCallback(x, m){
+    try {
+        x(m)
+    } catch (e) {
+        (console.error || console.log).call(console, e.message, e);
+    }
+}
+function executeCallbacks(queue, m) {
+    queue.forEach(function(x){runCallback(x, m)})
+}
+
+var executedOnLoaded = false;
+
+document.addEventListener("DOMContentLoaded", function() {
+    var mutationObserver = new MutationObserver(function(m){
+        if(!executedOnLoaded && gradioApp().querySelector('#txt2img_prompt')){
+            executedOnLoaded = true;
+            executeCallbacks(uiLoadedCallbacks);
+        }
+
+        executeCallbacks(uiUpdateCallbacks, m);
+        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 +1,1040 @@
+.container {
+    max-width: 100%;
+}
+
+.token-counter{
+    position: absolute;
+    display: inline-block;
+    right: 2em;
+    min-width: 0 !important;
+    width: auto;
+    z-index: 100;
+}
+
+.token-counter.error span{
+    box-shadow: 0 0 0.0 0.3em rgba(255,0,0,0.15), inset 0 0 0.6em rgba(255,0,0,0.075);
+    border: 2px solid rgba(255,0,0,0.4) !important;
+}
+
+.token-counter div{
+    display: inline;
+}
+
+.token-counter span{
+    padding: 0.1em 0.75em;
+}
+
+#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;
+}
+
+.performance p{
+    display: inline-block;
+}
+
+.performance .time {
+    margin-right: 0;
+}
+
+.performance .vram {
+}
+
+#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;
+}
+#txt2img_actions_column, #img2img_actions_column {
+	margin: 0.35rem 0.75rem 0.35rem 0;	
+}
+#script_list {
+    padding: .625rem .75rem 0 .625rem;
+}
+.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;
+}
+
+[id$=_random_seed], [id$=_random_subseed], [id$=_reuse_seed], [id$=_reuse_subseed], #open_folder{
+    min-width: 2.3em;
+    height: 2.5em;
+    flex-grow: 0;
+    padding-left: 0.25em;
+    padding-right: 0.25em;
+}
+
+#hidden_element{
+    display: none;
+}
+
+[id$=_seed_row], [id$=_subseed_row]{
+    gap: 0.5rem;
+    padding: 0.6em;
+}
+
+[id$=_subseed_show_box]{
+    min-width: auto;
+    flex-grow: 0;
+}
+
+[id$=_subseed_show_box] > div{
+    border: 0;
+    height: 100%;
+}
+
+[id$=_subseed_show]{
+    min-width: auto;
+    flex-grow: 0;
+    padding: 0;
+}
+
+[id$=_subseed_show] label{
+    height: 100%;
+}
+
+#txt2img_actions_column, #img2img_actions_column{
+    gap: 0;
+    margin-right: .75rem;
+}
+
+#txt2img_tools, #img2img_tools{
+    gap: 0.4em;
+}
+
+#interrogate_col{
+    min-width: 0 !important;
+    max-width: 8em !important;
+    margin-right: 1em;
+    gap: 0;
+}
+#interrogate, #deepbooru{
+    margin: 0em 0.25em 0.5em 0.25em;
+    min-width: 8em;
+    max-width: 8em;
+}
+
+#style_pos_col, #style_neg_col{
+    min-width: 8em !important;
+}
+
+#txt2img_styles_row, #img2img_styles_row{
+    gap: 0.25em;
+    margin-top: 0.3em;
+}
+
+#txt2img_styles_row > button, #img2img_styles_row > button{
+    margin: 0;
+}
+
+#txt2img_styles, #img2img_styles{
+    padding: 0;
+}
+
+#txt2img_styles > label > div, #img2img_styles > label > div{
+    min-height: 3.2em;
+}
+
+ul.list-none{
+    max-height: 35em;
+    z-index: 2000;
+}
+
+.gr-form{
+    background: transparent;
+}
+
+.my-4{
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+#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: -0.7em;
+    line-height: 1.2em;
+    padding: 0;
+    margin: 0 0.5em;
+
+    background-color: white;
+    box-shadow:  6px 0 6px 0px white, -6px 0 6px 0px white;
+
+    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);
+    box-shadow: none;
+    border: 1px solid rgba(128, 128, 128, 0.1);
+    border-radius: 6px;
+    padding: 0.1em 0.5em;
+}
+
+#txt2img_column_batch, #img2img_column_batch{
+    min-width: min(13.5em, 100%) !important;
+}
+
+#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;
+}
+
+#settings .gr-panel div.flex-col div.justify-between div{
+    position: relative;
+    z-index: 200;
+}
+
+#settings{
+    display: block;
+}
+
+#settings > div{
+    border: none;
+    margin-left: 10em;
+}
+
+#settings > div.flex-wrap{
+    float: left;
+    display: block;
+    margin-left: 0;
+    width: 10em;
+}
+
+#settings > div.flex-wrap button{
+    display: block;
+    border: none;
+    text-align: left;
+}
+
+#settings_result{
+    height: 1.4em;
+    margin: 0 1.2em;
+}
+
+input[type="range"]{
+    margin: 0.5em 0 -0.3em 0;
+}
+
+#mask_bug_info {
+  text-align: center;
+  display: block;
+  margin-top: -0.75em;
+  margin-bottom: -0.75em;
+}
+
+#txt2img_negative_prompt, #img2img_negative_prompt{
+}
+
+/* gradio 3.8 adds opacity to progressbar which makes it blink; disable it here */
+.transition.opacity-20 {
+  opacity: 1 !important;
+}
+
+/* more gradio's garbage cleanup */
+.min-h-\[4rem\] { min-height: unset !important; }
+.min-h-\[6rem\] { min-height: unset !important; }
+
+.progressDiv{
+    position: relative;
+    height: 20px;
+    background: #b4c0cc;
+    border-radius: 3px !important;
+    margin-bottom: -3px;
+}
+
+.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: 3px;
+    overflow: visible;
+    white-space: nowrap;
+    padding: 0 0.5em;
+}
+
+.livePreview{
+    position: absolute;
+    z-index: 300;
+    background-color: white;
+    margin: -4px;
+}
+
+.dark .livePreview{
+    background-color: rgb(17 24 39 / var(--tw-bg-opacity));
+}
+
+.livePreview img{
+    position: absolute;
+    object-fit: contain;
+    width: 100%;
+    height: 100%;
+}
+
+.popup-metadata{
+    color: black;
+    background: white;
+    display: inline-block;
+    padding: 1em;
+    white-space: pre-wrap;
+}
+
+.global-popup{
+    display: flex;
+    position: fixed;
+    z-index: 1001;
+    left: 0;
+    top: 0;
+    width: 100%;
+    height: 100%;
+    overflow: auto;
+    background-color: rgba(20, 20, 20, 0.95);
+}
+
+
+.global-popup-close:before {
+    content: "×";
+}
+
+.global-popup-close{
+    position: fixed;
+    right: 0.25em;
+    top: 0;
+    cursor: pointer;
+    color: white;
+    font-size: 32pt;
+}
+
+.global-popup-inner{
+    display: inline-block;
+    margin: auto;
+    padding: 2em;
+}
+
+#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 32px 32px 1fr 32px;
+    grid-template-areas: "zoom tile save 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;
+}
+
+.modalSave {
+    grid-area: save;
+}
+
+.modalTileImage {
+    grid-area: tile;
+}
+
+.modalClose,
+.modalZoom,
+.modalTileImage {
+  color: white;
+  font-size: 35px;
+  font-weight: bold;
+  cursor: pointer;
+}
+
+.modalSave {
+    color: white;
+    font-size: 28px;
+    margin-top: 8px;
+    font-weight: bold;
+    cursor: pointer;
+}
+
+.modalClose:hover,
+.modalClose:focus,
+.modalSave:hover,
+.modalSave:focus,
+.modalZoom:hover,
+.modalZoom:focus {
+  color: #999;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+#modalImage {
+    display: block;
+    margin: 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_generate_box, #img2img_generate_box{
+    position: relative;
+}
+
+#txt2img_interrupt, #img2img_interrupt, #txt2img_skip, #img2img_skip{
+    position: absolute;
+    width: 50%;
+    height: 100%;
+    background: #b4c0cc;
+    display: none;
+}
+
+#txt2img_interrupt, #img2img_interrupt{
+    left: 0;
+    border-radius: 0.5rem 0 0 0.5rem;
+}
+#txt2img_skip, #img2img_skip{
+    right: 0;
+    border-radius: 0 0.5rem 0.5rem 0;
+}
+
+.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 {
+    width: fit-content;
+}
+
+#quicksettings > div, #quicksettings > fieldset{
+    max-width: 24em;
+    min-width: 24em;
+    padding: 0;
+    border: none;
+    box-shadow: none;
+    background: none;
+    margin-right: 10px;
+}
+
+#quicksettings > div > div > div > label > span {
+    position: relative;
+    margin-right: 9em;
+    margin-bottom: -1em;
+}
+
+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: 400;
+    width: 6em;
+}
+#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,
+#img2img_sketch, #img2img_sketch > .h-60, #img2img_sketch > .h-60 > div, #img2img_sketch > .h-60 > div > img,
+#img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h-60 > div > img,
+#inpaint_sketch, #inpaint_sketch > .h-60, #inpaint_sketch > .h-60 > div, #inpaint_sketch > .h-60 > div > img
+{
+    height: 480px !important;
+    max-height: 480px !important;
+    min-height: 480px !important;
+}
+
+/* Extensions */
+
+#tab_extensions table{
+    border-collapse: collapse;
+}
+
+#tab_extensions table td, #tab_extensions table th{
+    border: 1px solid #ccc;
+    padding: 0.25em 0.5em;
+}
+
+#tab_extensions table input[type="checkbox"]{
+    margin-right: 0.5em;
+}
+
+#tab_extensions button{
+    max-width: 16em;
+}
+
+#tab_extensions input[disabled="disabled"]{
+    opacity: 0.5;
+}
+
+.extension-tag{
+    font-weight: bold;
+    font-size: 95%;
+}
+
+#available_extensions .info{
+    margin: 0;
+}
+
+#available_extensions .date_added{
+    opacity: 0.85;
+    font-size: 90%;
+}
+
+#image_buttons_txt2img button, #image_buttons_img2img button, #image_buttons_extras button{
+    min-width: auto;
+    padding-left: 0.5em;
+    padding-right: 0.5em;
+}
+
+.gr-form{
+    background-color: white;
+}
+
+.dark .gr-form{
+    background-color: rgb(31 41 55 / var(--tw-bg-opacity));
+}
+
+.gr-button-tool, .gr-button-tool-top{
+    max-width: 2.5em;
+    min-width: 2.5em !important;
+    height: 2.4em;
+}
+
+.gr-button-tool{
+    margin: 0.6em 0em 0.55em 0;
+}
+
+.gr-button-tool-top, #settings .gr-button-tool{
+    margin: 1.6em 0.7em 0.55em 0;
+}
+
+
+#modelmerger_results_container{
+    margin-top: 1em;
+    overflow: visible;
+}
+
+#modelmerger_models{
+    gap: 0;
+}
+
+
+#quicksettings .gr-button-tool{
+    margin: 0;
+    border-color: unset;
+	background-color: unset;
+}
+
+#modelmerger_interp_description>p {
+    margin: 0!important;
+    text-align: center;
+}
+#modelmerger_interp_description {
+    margin: 0.35rem 0.75rem 1.23rem;
+}
+#img2img_settings > div.gr-form, #txt2img_settings > div.gr-form {
+    padding-top: 0.9em;
+    padding-bottom: 0.9em;
+}
+#txt2img_settings {
+    padding-top: 1.16em;
+    padding-bottom: 0.9em;
+}
+#img2img_settings {
+    padding-bottom: 0.9em;
+}
+
+#img2img_settings div.gr-form .gr-form, #txt2img_settings div.gr-form .gr-form, #train_tabs div.gr-form .gr-form{
+    border: none;
+    padding-bottom: 0.5em;
+}
+
+footer {
+    display: none !important;
+}
+
+#footer{
+    text-align: center;
+}
+
+#footer div{
+    display: inline-block;
+    image-rendering: auto;
+}
+
+
+#footer .versions{
+    font-size: 85%;
+    opacity: 0.85;
+}
+
+#styledimg {
+background-image: url(/html/diffusion_banner.gif);
+background-repeat: no-repeat;
+width: 600px;
+height: 300px;
+}
+
+#txtimg_hr_finalres{
+    min-height: 0 !important;
+    padding: .625rem .75rem;
+    margin-left: -0.75em
+
+}
+
+#txtimg_hr_finalres .resolution{
+    font-weight: bold;
+}
+
+#txt2img_checkboxes, #img2img_checkboxes{
+    margin-bottom: 0.5em;
+    margin-left: 0em;
+}
+#txt2img_checkboxes > div, #img2img_checkboxes > div{
+    flex: 0;
+    white-space: nowrap;
+    min-width: auto;
+}
+
+#img2img_copy_to_img2img, #img2img_copy_to_sketch, #img2img_copy_to_inpaint, #img2img_copy_to_inpaint_sketch{
+    margin-left: 0em;
+}
+
+#axis_options {
+    margin-left: 0em;
+}
+
+.inactive{
+    opacity: 0.5;
+}
+
+[id*='_prompt_container']{
+    gap: 0;
+}
+
+[id*='_prompt_container'] > div{
+    margin: -0.4em 0 0 0;
+}
+
+.gr-compact {
+    border: none;
+}
+
+.dark .gr-compact{
+    background-color: rgb(31 41 55 / var(--tw-bg-opacity));
+	margin-left: 0;
+}
+
+.gr-compact{
+    overflow: visible;
+}
+
+.gr-compact > *{
+}
+
+.gr-compact .gr-block, .gr-compact .gr-form{
+    border: none;
+    box-shadow: none;
+}
+
+.gr-compact .gr-box{
+    border-radius: .5rem !important;
+    border-width: 1px !important;
+}
+
+#mode_img2img > div > div{
+    gap: 0 !important;
+}
+
+[id*='img2img_copy_to_'] {
+    border: none;
+}
+
+[id*='img2img_copy_to_'] > button {
+}
+
+[id*='img2img_label_copy_to_'] {
+    font-size: 1.0em;
+    font-weight: bold;
+    text-align: center;
+    line-height: 2.4em;
+}
+
+.extra-networks > div > [id *= '_extra_']{
+    margin: 0.3em;
+}
+
+.extra-network-subdirs{
+    padding: 0.2em 0.35em;
+}
+
+.extra-network-subdirs button{
+    margin: 0 0.15em;
+}
+
+#txt2img_extra_networks .search, #img2img_extra_networks .search{
+    display: inline-block;
+    max-width: 16em;
+    margin: 0.3em;
+    align-self: center;
+}
+
+#txt2img_extra_view, #img2img_extra_view {
+    width: auto;
+}
+
+.extra-network-cards .nocards, .extra-network-thumbs .nocards{
+    margin: 1.25em 0.5em 0.5em 0.5em;
+}
+
+.extra-network-cards .nocards h1, .extra-network-thumbs .nocards h1{
+    font-size: 1.5em;
+    margin-bottom: 1em;
+}
+
+.extra-network-cards .nocards li, .extra-network-thumbs .nocards li{
+    margin-left: 0.5em;
+}
+
+
+.extra-network-cards .card .metadata-button:before, .extra-network-thumbs .card .metadata-button:before{
+    content: "🛈";
+}
+.extra-network-cards .card .metadata-button, .extra-network-thumbs .card .metadata-button{
+    display: none;
+    position: absolute;
+    right: 0;
+    color: white;
+    text-shadow: 2px 2px 3px black;
+    padding: 0.25em;
+    font-size: 22pt;
+}
+.extra-network-cards .card:hover .metadata-button, .extra-network-thumbs .card:hover .metadata-button{
+    display: inline-block;
+}
+.extra-network-cards .card .metadata-button:hover, .extra-network-thumbs .card .metadata-button:hover{
+    color: red;
+}
+
+
+.extra-network-thumbs {
+    display: flex;
+    flex-flow: row wrap;
+    gap: 10px;
+}
+
+.extra-network-thumbs .card {
+    height: 6em;
+    width: 6em;
+    cursor: pointer;
+    background-image: url('./file=html/card-no-preview.png');
+    background-size: cover;
+    background-position: center center;
+    position: relative;
+}
+
+.extra-network-thumbs .card:hover .additional a {
+    display: inline-block;
+}
+
+.extra-network-thumbs .actions .additional a {
+    background-image: url('./file=html/image-update.svg');
+    background-repeat: no-repeat;
+    background-size: cover;
+    background-position: center center;
+    position: absolute;
+    top: 0;
+    left: 0;
+    width: 24px;
+    height: 24px;
+    display: none;
+    font-size: 0;
+    text-align: -9999;
+}
+
+.extra-network-thumbs .actions .name {
+    position: absolute;
+    bottom: 0;
+    font-size: 10px;
+    padding: 3px;
+    width: 100%;
+    overflow: hidden;
+    white-space: nowrap;
+    text-overflow: ellipsis;
+    background: rgba(0,0,0,.5);
+    color: white;
+}
+
+.extra-network-thumbs .card:hover .actions .name {
+    white-space: normal;
+    word-break: break-all;
+}
+
+.extra-network-cards .card{
+    display: inline-block;
+    margin: 0.5em;
+    width: 16em;
+    height: 24em;
+    box-shadow: 0 0 5px rgba(128, 128, 128, 0.5);
+    border-radius: 0.2em;
+    position: relative;
+
+    background-size: auto 100%;
+    background-position: center;
+    overflow: hidden;
+    cursor: pointer;
+
+    background-image: url('./file=html/card-no-preview.png')
+}
+
+.extra-network-cards .card:hover{
+    box-shadow: 0 0 2px 0.3em rgba(0, 128, 255, 0.35);
+}
+
+.extra-network-cards .card .actions .additional{
+    display: none;
+}
+
+.extra-network-cards .card .actions{
+    position: absolute;
+    bottom: 0;
+    left: 0;
+    right: 0;
+    padding: 0.5em;
+    color: white;
+    background: rgba(0,0,0,0.5);
+    box-shadow: 0 0 0.25em 0.25em rgba(0,0,0,0.5);
+    text-shadow: 0 0 0.2em black;
+}
+
+.extra-network-cards .card .actions:hover{
+    box-shadow: 0 0 0.75em 0.75em rgba(0,0,0,0.5) !important;
+}
+
+.extra-network-cards .card .actions .name{
+    font-size: 1.7em;
+    font-weight: bold;
+    line-break: anywhere;
+}
+
+.extra-network-cards .card .actions .description {
+    display: block;
+    max-height: 3em;
+    white-space: pre-wrap;
+    line-height: 1.1;
+}
+
+.extra-network-cards .card .actions .description:hover {
+    max-height: none;
+}
+
+.extra-network-cards .card .actions:hover .additional{
+    display: block;
+}
+
+.extra-network-cards .card ul{
+    margin: 0.25em 0 0.75em 0.25em;
+    cursor: unset;
+}
+
+.extra-network-cards .card ul a{
+    cursor: pointer;
+}
+
+.extra-network-cards .card ul a:hover{
+    color: red;
+}
+
+[id*='_prompt_container'] > div {
+	margin: 0!important;
+}

ui-config.json

@@ -0,0 +1,657 @@
+{
+    "txt2img/Prompt/visible": true,
+    "txt2img/Prompt/value": "",
+    "txt2img/Negative prompt/visible": true,
+    "txt2img/Negative prompt/value": "",
+    "txt2img/Styles/visible": true,
+    "txt2img/Styles/value": [],
+    "txt2img/Sampling method/visible": true,
+    "txt2img/Sampling method/value": "Euler a",
+    "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/Restore faces/visible": true,
+    "txt2img/Restore faces/value": false,
+    "txt2img/Tiling/visible": true,
+    "txt2img/Tiling/value": false,
+    "txt2img/Hires. fix/visible": true,
+    "txt2img/Hires. fix/value": false,
+    "txt2img/Upscaler/visible": true,
+    "txt2img/Upscaler/value": "Latent",
+    "txt2img/Hires steps/visible": true,
+    "txt2img/Hires steps/value": 0,
+    "txt2img/Hires steps/minimum": 0,
+    "txt2img/Hires steps/maximum": 150,
+    "txt2img/Hires steps/step": 1,
+    "txt2img/Denoising strength/visible": true,
+    "txt2img/Denoising strength/value": 0.7,
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+    "txt2img/Denoising strength/maximum": 1.0,
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+    "customscript/postprocessing_upscale.py/extras/Height/value": 512,
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+    "customscript/postprocessing_upscale.py/extras/Upscaler 1/value": "None",
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+    "customscript/postprocessing_upscale.py/extras/Upscaler 2/value": "None",
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+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001,
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+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0,
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+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0,
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+    "modelmerger/Primary model (A)/value": null,
+    "modelmerger/Secondary model (B)/visible": true,
+    "modelmerger/Secondary model (B)/value": null,
+    "modelmerger/Tertiary model (C)/visible": true,
+    "modelmerger/Tertiary model (C)/value": null,
+    "modelmerger/Custom Name (Optional)/visible": true,
+    "modelmerger/Custom Name (Optional)/value": "",
+    "modelmerger/Multiplier (M) - set to 0 to get model A/visible": true,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05,
+    "modelmerger/Interpolation Method/visible": true,
+    "modelmerger/Interpolation Method/value": "Weighted sum",
+    "modelmerger/Checkpoint format/visible": true,
+    "modelmerger/Checkpoint format/value": "ckpt",
+    "modelmerger/Save as float16/visible": true,
+    "modelmerger/Save as float16/value": false,
+    "modelmerger/Copy config from/visible": true,
+    "modelmerger/Copy config from/value": "A, B or C",
+    "modelmerger/Bake in VAE/visible": true,
+    "modelmerger/Bake in VAE/value": "None",
+    "modelmerger/Discard weights with matching name/visible": true,
+    "modelmerger/Discard weights with matching name/value": "",
+    "train/Name/visible": true,
+    "train/Name/value": "",
+    "train/Initialization text/visible": true,
+    "train/Initialization text/value": "*",
+    "train/Number of vectors per token/visible": true,
+    "train/Number of vectors per token/value": 1,
+    "train/Number of vectors per token/minimum": 1,
+    "train/Number of vectors per token/maximum": 75,
+    "train/Number of vectors per token/step": 1,
+    "train/Overwrite Old Embedding/visible": true,
+    "train/Overwrite Old Embedding/value": false,
+    "train/Enter hypernetwork layer structure/visible": true,
+    "train/Enter hypernetwork layer structure/value": "1, 2, 1",
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": true,
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear",
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible": true,
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal",
+    "train/Add layer normalization/visible": true,
+    "train/Add layer normalization/value": false,
+    "train/Use dropout/visible": true,
+    "train/Use dropout/value": false,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible": true,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value": "0, 0, 0",
+    "train/Overwrite Old Hypernetwork/visible": true,
+    "train/Overwrite Old Hypernetwork/value": false,
+    "train/Source directory/visible": true,
+    "train/Source directory/value": "",
+    "train/Destination directory/visible": true,
+    "train/Destination directory/value": "",
+    "train/Width/visible": true,
+    "train/Width/value": 512,
+    "train/Width/minimum": 64,
+    "train/Width/maximum": 2048,
+    "train/Width/step": 8,
+    "train/Height/visible": true,
+    "train/Height/value": 512,
+    "train/Height/minimum": 64,
+    "train/Height/maximum": 2048,
+    "train/Height/step": 8,
+    "train/Existing Caption txt Action/visible": true,
+    "train/Existing Caption txt Action/value": "ignore",
+    "train/Create flipped copies/visible": true,
+    "train/Create flipped copies/value": false,
+    "train/Split oversized images/visible": true,
+    "train/Split oversized images/value": false,
+    "train/Auto focal point crop/visible": true,
+    "train/Auto focal point crop/value": false,
+    "train/Auto-sized crop/visible": true,
+    "train/Auto-sized crop/value": false,
+    "train/Use BLIP for caption/visible": true,
+    "train/Use BLIP for caption/value": false,
+    "train/Use deepbooru for caption/visible": true,
+    "train/Use deepbooru for caption/value": false,
+    "train/Split image threshold/visible": true,
+    "train/Split image threshold/value": 0.5,
+    "train/Split image threshold/minimum": 0.0,
+    "train/Split image threshold/maximum": 1.0,
+    "train/Split image threshold/step": 0.05,
+    "train/Split image overlap ratio/visible": true,
+    "train/Split image overlap ratio/value": 0.2,
+    "train/Split image overlap ratio/minimum": 0.0,
+    "train/Split image overlap ratio/maximum": 0.9,
+    "train/Split image overlap ratio/step": 0.05,
+    "train/Focal point face weight/visible": true,
+    "train/Focal point face weight/value": 0.9,
+    "train/Focal point face weight/minimum": 0.0,
+    "train/Focal point face weight/maximum": 1.0,
+    "train/Focal point face weight/step": 0.05,
+    "train/Focal point entropy weight/visible": true,
+    "train/Focal point entropy weight/value": 0.15,
+    "train/Focal point entropy weight/minimum": 0.0,
+    "train/Focal point entropy weight/maximum": 1.0,
+    "train/Focal point entropy weight/step": 0.05,
+    "train/Focal point edges weight/visible": true,
+    "train/Focal point edges weight/value": 0.5,
+    "train/Focal point edges weight/minimum": 0.0,
+    "train/Focal point edges weight/maximum": 1.0,
+    "train/Focal point edges weight/step": 0.05,
+    "train/Create debug image/visible": true,
+    "train/Create debug image/value": false,
+    "train/Dimension lower bound/visible": true,
+    "train/Dimension lower bound/value": 384,
+    "train/Dimension lower bound/minimum": 64,
+    "train/Dimension lower bound/maximum": 2048,
+    "train/Dimension lower bound/step": 8,
+    "train/Dimension upper bound/visible": true,
+    "train/Dimension upper bound/value": 768,
+    "train/Dimension upper bound/minimum": 64,
+    "train/Dimension upper bound/maximum": 2048,
+    "train/Dimension upper bound/step": 8,
+    "train/Area lower bound/visible": true,
+    "train/Area lower bound/value": 4096,
+    "train/Area lower bound/minimum": 4096,
+    "train/Area lower bound/maximum": 4194304,
+    "train/Area lower bound/step": 1,
+    "train/Area upper bound/visible": true,
+    "train/Area upper bound/value": 409600,
+    "train/Area upper bound/minimum": 4096,
+    "train/Area upper bound/maximum": 4194304,
+    "train/Area upper bound/step": 1,
+    "train/Resizing objective/visible": true,
+    "train/Resizing objective/value": "Maximize area",
+    "train/Error threshold/visible": true,
+    "train/Error threshold/value": 0.1,
+    "train/Error threshold/minimum": 0,
+    "train/Error threshold/maximum": 1,
+    "train/Error threshold/step": 0.01,
+    "train/Embedding/visible": true,
+    "train/Embedding/value": null,
+    "train/Hypernetwork/visible": true,
+    "train/Hypernetwork/value": null,
+    "train/Embedding Learning rate/visible": true,
+    "train/Embedding Learning rate/value": "0.005",
+    "train/Hypernetwork Learning rate/visible": true,
+    "train/Hypernetwork Learning rate/value": "0.00001",
+    "train/Gradient Clipping/visible": true,
+    "train/Gradient Clipping/value": "disabled",
+    "train/Batch size/visible": true,
+    "train/Batch size/value": 1,
+    "train/Gradient accumulation steps/visible": true,
+    "train/Gradient accumulation steps/value": 1,
+    "train/Dataset directory/visible": true,
+    "train/Dataset directory/value": "",
+    "train/Log directory/visible": true,
+    "train/Log directory/value": "textual_inversion",
+    "train/Prompt template/visible": true,
+    "train/Prompt template/value": "style_filewords.txt",
+    "train/Do not resize images/visible": true,
+    "train/Do not resize images/value": false,
+    "train/Max steps/visible": true,
+    "train/Max steps/value": 100000,
+    "train/Save an image to log directory every N steps, 0 to disable/visible": true,
+    "train/Save an image to log directory every N steps, 0 to disable/value": 500,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": true,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500,
+    "train/Use PNG alpha channel as loss weight/visible": true,
+    "train/Use PNG alpha channel as loss weight/value": false,
+    "train/Save images with embedding in PNG chunks/visible": true,
+    "train/Save images with embedding in PNG chunks/value": true,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": true,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": false,
+    "train/Shuffle tags by ',' when creating prompts./visible": true,
+    "train/Shuffle tags by ',' when creating prompts./value": false,
+    "train/Drop out tags when creating prompts./visible": true,
+    "train/Drop out tags when creating prompts./value": 0,
+    "train/Drop out tags when creating prompts./minimum": 0,
+    "train/Drop out tags when creating prompts./maximum": 1,
+    "train/Drop out tags when creating prompts./step": 0.1,
+    "train/Choose latent sampling method/visible": true,
+    "train/Choose latent sampling method/value": "once",
+    "customscript/custom_code.py/txt2img/Python code/visible": true,
+    "customscript/custom_code.py/txt2img/Python code/value": "",
+    "customscript/custom_code.py/img2img/Python code/visible": true,
+    "customscript/custom_code.py/img2img/Python code/value": "",
+    "img2img/Desired FPS/visible": true,
+    "img2img/Desired FPS/value": 1,
+    "img2img/Desired FPS/minimum": 1,
+    "img2img/Desired FPS/maximum": 50,
+    "img2img/Desired FPS/step": 1,
+    "img2img/Interpolation frames/visible": true,
+    "img2img/Interpolation frames/value": 0,
+    "img2img/Interpolation frames/minimum": 0,
+    "img2img/Interpolation frames/maximum": 100,
+    "img2img/Interpolation frames/step": 1,
+    "customscript/gif2gif.py/img2img/Resize result back to original dimensions/visible": true,
+    "customscript/gif2gif.py/img2img/Resize result back to original dimensions/value": true,
+    "customscript/gif2gif.py/img2img/Delete intermediate frames after GIF generation/visible": true,
+    "customscript/gif2gif.py/img2img/Delete intermediate frames after GIF generation/value": true,
+    "customscript/gif2gif.py/img2img/For -1 seed, all frames in a GIF have common seed/visible": true,
+    "customscript/gif2gif.py/img2img/For -1 seed, all frames in a GIF have common seed/value": true,
+    "img2img/Actual FPS/visible": true,
+    "img2img/Actual FPS/value": "",
+    "img2img/Actual total duration/visible": true,
+    "img2img/Actual total duration/value": "",
+    "img2img/Actual total frames/visible": true,
+    "img2img/Actual total frames/value": "",
+    "img2img/Original FPS/visible": true,
+    "img2img/Original FPS/value": "",
+    "img2img/Original total duration/visible": true,
+    "img2img/Original total duration/value": "",
+    "img2img/Original total frames/visible": true,
+    "img2img/Original total frames/value": "",
+    "customscript/gif2gif.py/img2img/Generation loopbacks/visible": true,
+    "customscript/gif2gif.py/img2img/Generation loopbacks/value": 0,
+    "customscript/gif2gif.py/img2img/Generation loopbacks/minimum": 0,
+    "customscript/gif2gif.py/img2img/Generation loopbacks/maximum": 50,
+    "customscript/gif2gif.py/img2img/Generation loopbacks/step": 1,
+    "customscript/gif2gif.py/img2img/Loopback denoise strength/visible": true,
+    "customscript/gif2gif.py/img2img/Loopback denoise strength/value": 0.1,
+    "customscript/gif2gif.py/img2img/Loopback denoise strength/minimum": 0.01,
+    "customscript/gif2gif.py/img2img/Loopback denoise strength/maximum": 1,
+    "customscript/gif2gif.py/img2img/Loopback denoise strength/step": 0.01,
+    "customscript/gif2gif.py/img2img/Loopback decay/visible": true,
+    "customscript/gif2gif.py/img2img/Loopback decay/value": 1.0,
+    "customscript/gif2gif.py/img2img/Loopback decay/minimum": 0,
+    "customscript/gif2gif.py/img2img/Loopback decay/maximum": 2,
+    "customscript/gif2gif.py/img2img/Loopback decay/step": 0.05,
+    "customscript/gif2gif.py/img2img/Upscaler/visible": true,
+    "customscript/gif2gif.py/img2img/Upscaler/value": "None",
+    "customscript/gif2gif.py/img2img/Skip generation, only upscale/visible": true,
+    "customscript/gif2gif.py/img2img/Skip generation, only upscale/value": false,
+    "customscript/gif2gif.py/img2img/Factor/visible": true,
+    "customscript/gif2gif.py/img2img/Factor/value": 2,
+    "customscript/gif2gif.py/img2img/Factor/minimum": 1,
+    "customscript/gif2gif.py/img2img/Factor/maximum": 8,
+    "customscript/gif2gif.py/img2img/Factor/step": 0.1,
+    "customscript/gif2gif.py/img2img/Target width/visible": true,
+    "customscript/gif2gif.py/img2img/Target width/value": 512,
+    "customscript/gif2gif.py/img2img/Target width/minimum": 0,
+    "customscript/gif2gif.py/img2img/Target width/maximum": 8000,
+    "customscript/gif2gif.py/img2img/Target width/step": 8,
+    "customscript/gif2gif.py/img2img/Target height/visible": true,
+    "customscript/gif2gif.py/img2img/Target height/value": 512,
+    "customscript/gif2gif.py/img2img/Target height/minimum": 0,
+    "customscript/gif2gif.py/img2img/Target height/maximum": 8000,
+    "customscript/gif2gif.py/img2img/Target height/step": 8,
+    "customscript/gif2gif.py/img2img/Crop to fit/visible": true,
+    "customscript/gif2gif.py/img2img/Crop to fit/value": false
+}

webui-macos-env.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+####################################################################
+#                          macOS defaults                          #
+# Please modify webui-user.sh to change these instead of this file #
+####################################################################
+
+if [[ -x "$(command -v python3.10)" ]]
+then
+    python_cmd="python3.10"
+fi
+
+export install_dir="$HOME"
+export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
+export TORCH_COMMAND="pip install torch==1.12.1 torchvision==0.13.1"
+export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
+export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
+export PYTORCH_ENABLE_MPS_FALLBACK=1
+
+####################################################################

webui-user.bat

@@ -0,0 +1,8 @@
+@echo off
+
+set PYTHON=
+set GIT=
+set VENV_DIR=
+set COMMANDLINE_ARGS=--allow-code --xformers --skip-torch-cuda-test --precision full --no-half --share-- ckpt-dir C:\\DeepCore_WebUI-MASTER\\stable-diffusion-webui-master
+
+call webui.bat

webui-user.sh

@@ -0,0 +1,46 @@
+#!/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="app.py"
+
+# install command for torch
+#export TORCH_COMMAND="pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113"
+
+# Requirements file to use for stable-diffusion-webui
+#export REQS_FILE="requirements_versions.txt"
+
+# Fixed git repos
+#export K_DIFFUSION_PACKAGE=""
+#export GFPGAN_PACKAGE=""
+
+# Fixed git commits
+#export STABLE_DIFFUSION_COMMIT_HASH=""
+#export TAMING_TRANSFORMERS_COMMIT_HASH=""
+#export CODEFORMER_COMMIT_HASH=""
+#export BLIP_COMMIT_HASH=""
+
+# Uncomment to enable accelerated launch
+#export ACCELERATE="True"
+
+###########################################

webui.bat

@@ -0,0 +1,85 @@
+@echo off
+
+if not defined PYTHON (set PYTHON=python)
+if not defined VENV_DIR (set "VENV_DIR=%~dp0%venv")
+
+
+set ERROR_REPORTING=FALSE
+
+mkdir tmp 2>NUL
+
+%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :check_pip
+echo Couldn't launch python
+goto :show_stdout_stderr
+
+:check_pip
+%PYTHON% -mpip --help >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+if "%PIP_INSTALLER_LOCATION%" == "" goto :show_stdout_stderr
+%PYTHON% "%PIP_INSTALLER_LOCATION%" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+echo Couldn't install pip
+goto :show_stdout_stderr
+
+:start_venv
+if ["%VENV_DIR%"] == ["-"] goto :skip_venv
+if ["%SKIP_VENV%"] == ["1"] 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="%VENV_DIR%\Scripts\Python.exe"
+echo venv %PYTHON%
+
+:skip_venv
+if [%ACCELERATE%] == ["True"] goto :accelerate
+goto :launch
+
+:accelerate
+echo Checking for accelerate
+set ACCELERATE="%VENV_DIR%\Scripts\accelerate.exe"
+if EXIST %ACCELERATE% goto :accelerate_launch
+
+:launch
+%PYTHON% app.py %*
+pause
+exit /b
+
+:accelerate_launch
+echo Accelerating
+%ACCELERATE% launch --num_cpu_threads_per_process=6 app.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 +1,337 @@
+import os
+import sys
+import time
+import importlib
+import signal
+import re
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.middleware.gzip import GZipMiddleware
+from packaging import version
+
+import logging
+logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
+
+from modules import paths, timer, import_hook, errors
+
+startup_timer = timer.Timer()
+
+import torch
+startup_timer.record("import torch")
+
+import gradio
+startup_timer.record("import gradio")
+
+import ldm.modules.encoders.modules
+startup_timer.record("import ldm")
+
+from modules import extra_networks, ui_extra_networks_checkpoints
+from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion
+from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
+
+# Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors
+if ".dev" in torch.__version__ or "+git" in torch.__version__:
+    torch.__long_version__ = torch.__version__
+    torch.__version__ = re.search(r'[\d.]+[\d]', torch.__version__).group(0)
+
+from modules import shared, devices, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks
+import modules.codeformer_model as codeformer
+import modules.face_restoration
+import modules.gfpgan_model as gfpgan
+import modules.img2img
+
+import modules.lowvram
+import modules.scripts
+import modules.sd_hijack
+import modules.sd_models
+import modules.sd_vae
+import modules.txt2img
+import modules.script_callbacks
+import modules.textual_inversion.textual_inversion
+import modules.progress
+
+import modules.ui
+from modules import modelloader
+from modules.shared import cmd_opts
+import modules.hypernetworks.hypernetwork
+
+startup_timer.record("other imports")
+
+
+if cmd_opts.server_name:
+    server_name = cmd_opts.server_name
+else:
+    server_name = "0.0.0.0" if cmd_opts.listen else None
+
+
+def check_versions():
+    if shared.cmd_opts.skip_version_check:
+        return
+
+    expected_torch_version = "1.13.1"
+
+    if version.parse(torch.__version__) < version.parse(expected_torch_version):
+        errors.print_error_explanation(f"""
+You are running torch {torch.__version__}.
+The program is tested to work with torch {expected_torch_version}.
+To reinstall the desired version, run with commandline flag --reinstall-torch.
+Beware that this will cause a lot of large files to be downloaded, as well as
+there are reports of issues with training tab on the latest version.
+
+Use --skip-version-check commandline argument to disable this check.
+        """.strip())
+
+    expected_xformers_version = "0.0.16rc425"
+    if shared.xformers_available:
+        import xformers
+
+        if version.parse(xformers.__version__) < version.parse(expected_xformers_version):
+            errors.print_error_explanation(f"""
+You are running xformers {xformers.__version__}.
+The program is tested to work with xformers {expected_xformers_version}.
+To reinstall the desired version, run with commandline flag --reinstall-xformers.
+
+Use --skip-version-check commandline argument to disable this check.
+            """.strip())
+
+
+def initialize():
+    check_versions()
+
+    extensions.list_extensions()
+    localization.list_localizations(cmd_opts.localizations_dir)
+    startup_timer.record("list extensions")
+
+    if cmd_opts.ui_debug_mode:
+        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
+        modules.scripts.load_scripts()
+        return
+
+    modelloader.cleanup_models()
+    modules.sd_models.setup_model()
+    startup_timer.record("list SD models")
+
+    codeformer.setup_model(cmd_opts.codeformer_models_path)
+    startup_timer.record("setup codeformer")
+
+    gfpgan.setup_model(cmd_opts.gfpgan_models_path)
+    startup_timer.record("setup gfpgan")
+
+    modelloader.list_builtin_upscalers()
+    startup_timer.record("list builtin upscalers")
+
+    modules.scripts.load_scripts()
+    startup_timer.record("load scripts")
+
+    modelloader.load_upscalers()
+    startup_timer.record("load upscalers")
+
+    modules.sd_vae.refresh_vae_list()
+    startup_timer.record("refresh VAE")
+
+    modules.textual_inversion.textual_inversion.list_textual_inversion_templates()
+    startup_timer.record("refresh textual inversion templates")
+
+    try:
+        modules.sd_models.load_model()
+    except Exception as e:
+        errors.display(e, "loading stable diffusion model")
+        print("", file=sys.stderr)
+        print("Stable diffusion model failed to load, exiting", file=sys.stderr)
+        exit(1)
+    startup_timer.record("load SD checkpoint")
+
+    shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title
+
+    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
+    shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
+    shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
+    shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
+    startup_timer.record("opts onchange")
+
+    shared.reload_hypernetworks()
+    startup_timer.record("reload hypernets")
+
+    ui_extra_networks.intialize()
+    ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
+    ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
+    ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
+
+    extra_networks.initialize()
+    extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
+    startup_timer.record("extra networks")
+
+    if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None:
+
+        try:
+            if not os.path.exists(cmd_opts.tls_keyfile):
+                print("Invalid path to TLS keyfile given")
+            if not os.path.exists(cmd_opts.tls_certfile):
+                print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
+        except TypeError:
+            cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
+            print("TLS setup invalid, running webui without TLS")
+        else:
+            print("Running with TLS")
+        startup_timer.record("TLS")
+
+    # make the program just exit at ctrl+c without waiting for anything
+    def sigint_handler(sig, frame):
+        print(f'Interrupted with signal {sig} in {frame}')
+        os._exit(0)
+
+    signal.signal(signal.SIGINT, sigint_handler)
+
+
+def setup_middleware(app):
+    app.middleware_stack = None # reset current middleware to allow modifying user provided list
+    app.add_middleware(GZipMiddleware, minimum_size=1000)
+    if cmd_opts.cors_allow_origins and cmd_opts.cors_allow_origins_regex:
+        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    elif cmd_opts.cors_allow_origins:
+        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    elif cmd_opts.cors_allow_origins_regex:
+        app.add_middleware(CORSMiddleware, allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    app.build_middleware_stack() # rebuild middleware stack on-the-fly
+
+
+def create_api(app):
+    from modules.api.api import Api
+    api = Api(app, queue_lock)
+    return api
+
+
+def wait_on_server(demo=None):
+    while 1:
+        time.sleep(0.5)
+        if shared.state.need_restart:
+            shared.state.need_restart = False
+            time.sleep(0.5)
+            demo.close()
+            time.sleep(0.5)
+            break
+
+
+def api_only():
+    initialize()
+
+    app = FastAPI()
+    setup_middleware(app)
+    api = create_api(app)
+
+    modules.script_callbacks.app_started_callback(None, app)
+
+    print(f"Startup time: {startup_timer.summary()}.")
+    api.launch(server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861)
+
+
+def webui():
+    launch_api = cmd_opts.api
+    initialize()
+
+    while 1:
+        if shared.opts.clean_temp_dir_at_start:
+            ui_tempdir.cleanup_tmpdr()
+            startup_timer.record("cleanup temp dir")
+
+        modules.script_callbacks.before_ui_callback()
+        startup_timer.record("scripts before_ui_callback")
+
+        shared.demo = modules.ui.create_ui()
+        startup_timer.record("create ui")
+
+        if cmd_opts.gradio_queue:
+            shared.demo.queue(64)
+
+        gradio_auth_creds = []
+        if cmd_opts.gradio_auth:
+            gradio_auth_creds += [x.strip() for x in cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',') if x.strip()]
+        if cmd_opts.gradio_auth_path:
+            with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file:
+                for line in file.readlines():
+                    gradio_auth_creds += [x.strip() for x in line.split(',') if x.strip()]
+
+        app, local_url, share_url = shared.demo.launch(
+            share=cmd_opts.share,
+            server_name=server_name,
+            server_port=cmd_opts.port,
+            ssl_keyfile=cmd_opts.tls_keyfile,
+            ssl_certfile=cmd_opts.tls_certfile,
+            debug=cmd_opts.gradio_debug,
+            auth=[tuple(cred.split(':')) for cred in gradio_auth_creds] if gradio_auth_creds else None,
+            inbrowser=cmd_opts.autolaunch,
+            prevent_thread_lock=True
+        )
+        # after initial launch, disable --autolaunch for subsequent restarts
+        cmd_opts.autolaunch = False
+
+        startup_timer.record("gradio launch")
+
+        # gradio uses a very open CORS policy via app.user_middleware, which makes it possible for
+        # an attacker to trick the user into opening a malicious HTML page, which makes a request to the
+        # running web ui and do whatever the attacker wants, including installing an extension and
+        # running its code. We disable this here. Suggested by RyotaK.
+        app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
+
+        setup_middleware(app)
+
+        modules.progress.setup_progress_api(app)
+
+        if launch_api:
+            create_api(app)
+
+        ui_extra_networks.add_pages_to_demo(app)
+
+        modules.script_callbacks.app_started_callback(shared.demo, app)
+        startup_timer.record("scripts app_started_callback")
+
+        print(f"Startup time: {startup_timer.summary()}.")
+
+        wait_on_server(shared.demo)
+        print('Restarting UI...')
+
+        startup_timer.reset()
+
+        sd_samplers.set_samplers()
+
+        modules.script_callbacks.script_unloaded_callback()
+        extensions.list_extensions()
+        startup_timer.record("list extensions")
+
+        localization.list_localizations(cmd_opts.localizations_dir)
+
+        modelloader.forbid_loaded_nonbuiltin_upscalers()
+        modules.scripts.reload_scripts()
+        startup_timer.record("load scripts")
+
+        modules.script_callbacks.model_loaded_callback(shared.sd_model)
+        startup_timer.record("model loaded callback")
+
+        modelloader.load_upscalers()
+        startup_timer.record("load upscalers")
+
+        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
+            importlib.reload(module)
+        startup_timer.record("reload script modules")
+
+        modules.sd_models.list_models()
+        startup_timer.record("list SD models")
+
+        shared.reload_hypernetworks()
+        startup_timer.record("reload hypernetworks")
+
+        ui_extra_networks.intialize()
+        ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
+        ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
+        ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
+
+        extra_networks.initialize()
+        extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
+        startup_timer.record("initialize extra networks")
+
+
+if __name__ == "__main__":
+    if cmd_opts.nowebui:
+        api_only()
+    else:
+        webui()

webui.sh

@@ -0,0 +1,186 @@
+#!/usr/bin/env bash
+#################################################
+# Please do not make any changes to this file,  #
+# change the variables in webui-user.sh instead #
+#################################################
+
+# If run from macOS, load defaults from webui-macos-env.sh
+if [[ "$OSTYPE" == "darwin"* ]]; then
+    if [[ -f webui-macos-env.sh ]]
+        then
+        source ./webui-macos-env.sh
+    fi
+fi
+
+# Read variables from webui-user.sh
+# shellcheck source=/dev/null
+if [[ -f webui-user.sh ]]
+then
+    source ./webui-user.sh
+fi
+
+# Set defaults
+# Install directory without trailing slash
+if [[ -z "${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="app.py"
+fi
+
+# this script cannot be run as root by default
+can_run_as_root=0
+
+# read any command line flags to the webui.sh script
+while getopts "f" flag > /dev/null 2>&1
+do
+    case ${flag} in
+        f) can_run_as_root=1;;
+        *) break;;
+    esac
+done
+
+# Disable sentry logging
+export ERROR_REPORTING=FALSE
+
+# Do not reinstall existing pip packages on Debian/Ubuntu
+export PIP_IGNORE_INSTALLED=0
+
+# Pretty print
+delimiter="################################################################"
+
+printf "\n%s\n" "${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 [[ $(id -u) -eq 0 && can_run_as_root -eq 0 ]]
+then
+    printf "\n%s\n" "${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
+gpu_info=$(lspci 2>/dev/null | grep VGA)
+case "$gpu_info" in
+    *"Navi 1"*|*"Navi 2"*) export HSA_OVERRIDE_GFX_VERSION=10.3.0
+    ;;
+    *"Renoir"*) export HSA_OVERRIDE_GFX_VERSION=9.0.0
+        printf "\n%s\n" "${delimiter}"
+        printf "Experimental support for Renoir: make sure to have at least 4GB of VRAM and 10GB of RAM or enable cpu mode: --use-cpu all --no-half"
+        printf "\n%s\n" "${delimiter}"
+    ;;
+    *) 
+    ;;
+esac
+if echo "$gpu_info" | grep -q "AMD" && [[ -z "${TORCH_COMMAND}" ]]
+then
+    export TORCH_COMMAND="pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.2"
+fi  
+
+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" "${delimiter}"
+    exit 1
+fi
+
+cd "${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}" "${clone_dir}"; exit 1; }
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Clone stable-diffusion-webui"
+    printf "\n%s\n" "${delimiter}"
+    "${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" "${delimiter}"
+    exit 1
+fi
+
+if [[ ! -z "${ACCELERATE}" ]] && [ ${ACCELERATE}="True" ] && [ -x "$(command -v accelerate)" ]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "Accelerating app.py..."
+    printf "\n%s\n" "${delimiter}"
+    exec accelerate launch --num_cpu_threads_per_process=6 "${LAUNCH_SCRIPT}" "$@"
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Launching app.py..."
+    printf "\n%s\n" "${delimiter}"      
+    exec "${python_cmd}" "${LAUNCH_SCRIPT}" "$@"
+fi