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<!DOCTYPE html>
< html >
< meta name = "viewport" content = "width=device-width, initial-scale=1.0" >
< style >
body {
font-family: Arial, Helvetica, sans-serif;
font-size: 11pt;
background-color: rgb(32, 33, 36);
color: #eee;
}
a {
color: rgb(0, 102, 204);
}
a:visited {
color: rgb(0, 102, 204);
}
label {
font-size: 10pt;
}
#prompt {
width: 100%;
height: 50pt;
}
@media screen and (max-width: 600px) {
#prompt {
width: 95%;
}
}
.image_preview_container {
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/* display: none; */
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margin-top: 10pt;
}
.image_clear_btn {
position: absolute;
transform: translateX(-50%) translateY(-35%);
background: black;
color: white;
border: 2pt solid #ccc;
padding: 0;
cursor: pointer;
outline: inherit;
border-radius: 8pt;
width: 16pt;
height: 16pt;
font-family: Verdana;
font-size: 8pt;
}
#editor-settings-entries {
font-size: 9pt;
margin-bottom: 5px;
padding-left: 10px;
list-style-type: none;
}
#editor-settings-entries li {
padding-bottom: 3pt;
}
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.editor-slider {
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transform: translateY(30%);
}
#outputMsg {
font-size: small;
}
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#progressBar {
font-size: small;
}
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#footer {
font-size: small;
padding-left: 10pt;
background: none;
}
#footer-legal {
font-size: 8pt;
}
.imgSeedLabel {
position: absolute;
transform: translateX(-100%);
margin-top: 5pt;
margin-left: -5pt;
font-size: 10pt;
background-color: #333;
opacity: 0.8;
color: #ddd;
border-radius: 3pt;
padding: 1pt 3pt;
}
.imgUseBtn {
position: absolute;
transform: translateX(-100%);
margin-top: 30pt;
margin-left: -5pt;
}
.imgSaveBtn {
position: absolute;
transform: translateX(-100%);
margin-top: 55pt;
margin-left: -5pt;
}
.imgItem {
display: inline;
padding-right: 10px;
}
.imgItemInfo {
opacity: 0.5;
}
#container {
width: 75%;
margin-left: auto;
margin-right: auto;
}
@media screen and (max-width: 1400px) {
#container {
width: 100%;
}
}
#meta small {
font-size: 11pt;
}
#editor {
padding: 5px;
}
#editor label {
font-weight: bold;
}
#preview {
padding: 5px;
}
#editor-inputs {
margin-bottom: 20px;
}
#editor-inputs-prompt {
flex: 1;
}
#editor-inputs .row {
padding-bottom: 10px;
}
#makeImage {
border-radius: 6px;
}
#editor-modifiers h5 {
padding: 5pt 0;
margin: 0;
}
#makeImage {
flex: 0 0 70px;
background: rgb(80, 0, 185);
border: 2px solid rgb(40, 0, 78);
color: rgb(255, 221, 255);
width: 100%;
height: 30pt;
}
#makeImage:hover {
background: rgb(93, 0, 214);
}
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#stopImage {
flex: 0 0 70px;
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background: rgb(132, 8, 0);
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border: 2px solid rgb(122, 29, 0);
color: rgb(255, 221, 255);
width: 100%;
height: 30pt;
border-radius: 6px;
display: none;
}
#stopImage:hover {
background: rgb(214, 32, 0);
}
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.flex-container {
display: flex;
}
.col-50 {
flex: 50%;
}
.col-free {
flex: 1;
}
.collapsible {
cursor: pointer;
}
.collapsible-content {
display: none;
padding-left: 15px;
}
.collapsible-content h5 {
padding: 5pt 0pt;
margin: 0;
font-size: 10pt;
}
.collapsible-handle {
color: white;
padding-right: 5px;
}
.panel-box {
background: rgb(44, 45, 48);
border: 1px solid rgb(47, 49, 53);
border-radius: 7px;
padding: 5px;
margin-bottom: 15px;
box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
}
.panel-box h4 {
margin: 0;
padding: 2px 0;
}
.prompt-modifier-tag {
border: 1px solid rgb(10, 0, 24);
border-radius: 4px;
padding: 0pt 3pt;
margin-right: 2pt;
cursor: pointer;
display: inline;
background: rgb(163, 163, 163);
color: black;
line-height: 25pt;
float: left;
font-size: 9pt;
}
.prompt-modifier-tag:hover {
background: black;
color: white;
}
#editor-modifiers-entries .prompt-modifier-tag {
background: #110f0f;
color: rgb(212, 212, 212);
margin-bottom: 4pt;
font-size: 10pt;
}
#editor-modifiers-entries .prompt-modifier-tag:hover {
background: rgb(163, 163, 163);
color: black;
}
#editor-modifiers .editor-modifiers-leaf {
padding-top: 10pt;
padding-bottom: 10pt;
}
#preview {
margin-left: 20pt;
}
img {
box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
}
.line-separator {
background: rgb(56, 56, 56);
height: 1pt;
margin: 15pt 0;
}
#editor-inputs-tags-container {
margin-top: 5pt;
display: none;
}
#server-status {
float: right;
}
#server-status-color {
width: 8pt;
height: 8pt;
border-radius: 4pt;
background-color: rgb(128, 87, 0);
/* background-color: rgb(197, 1, 1); */
float: left;
transform: translateY(15%);
}
#server-status-msg {
color: rgb(128, 87, 0);
padding-left: 2pt;
font-size: 10pt;
}
#preview-prompt {
font-size: 16pt;
margin-bottom: 10pt;
}
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#coffeeButton {
height: 23px;
transform: translateY(25%);
}
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#inpaintingEditor {
width: 300pt;
height: 300pt;
margin-top: 5pt;
}
.drawing-board-canvas-wrapper {
background-size: 100% 100%;
}
#inpaintingEditor canvas {
opacity: 0.6;
}
#enable_mask {
margin-top: 8pt;
}
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< / style >
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< link rel = "stylesheet" href = "/media/drawingboard.min.css" >
< script src = "/media/jquery-3.6.1.min.js" > < / script >
< script src = "/media/drawingboard.min.js" > < / script >
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< / html >
< body >
< div id = "container" >
< div class = "flex-container" >
< div id = "editor" class = "col-50" >
< div id = "meta" >
< div id = "server-status" >
< div id = "server-status-color" > < / div >
< span id = "server-status-msg" > Stable Diffusion is starting..< / span >
< / div >
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< h1 > Stable Diffusion UI < small > v2.12 < span id = "updateBranchLabel" > < / span > < / small > < / h1 >
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< / div >
< div id = "editor-inputs" >
< div id = "editor-inputs-prompt" class = "row" >
< label for = "prompt" > Prompt< / label >
< textarea id = "prompt" class = "col-free" > a photograph of an astronaut riding a horse< / textarea >
< / div >
< div id = "editor-inputs-init-image" class = "row" >
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< label for = "init_image" > < b > Initial Image:< / b > (optional) < / label > < input id = "init_image" name = "init_image" type = "file" / > < br / >
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< div id = "init_image_preview_container" class = "image_preview_container" >
< img id = "init_image_preview" src = "" width = "100" height = "100" / >
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< button class = "init_image_clear image_clear_btn" > X< / button >
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< br / >
< input id = "enable_mask" name = "enable_mask" type = "checkbox" > < label for = "enable_mask" > In-Painting (select the area which the AI will paint into)< / label >
< div id = "inpaintingEditor" > < / div >
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< / div >
< / div >
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< div id = "editor-inputs-tags-container" class = "row" >
< label > Tags: < small > (click a tag to remove it)< / small > < / label >
< div id = "editor-inputs-tags-list" >
< / div >
< / div >
< button id = "makeImage" > Make Image< / button >
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< button id = "stopImage" > Stop< / button >
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< / div >
< div class = "line-separator" > < / div >
< div id = "editor-settings" class = "panel-box" >
< h4 class = "collapsible" > Advanced Settings< / h4 >
< ul id = "editor-settings-entries" class = "collapsible-content" >
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< li > < input id = "stream_image_progress" name = "stream_image_progress" type = "checkbox" > < label for = "stream_image_progress" > Show a live preview of the image (disable this for faster image generation)< / label > < / li >
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< li > < input id = "use_face_correction" name = "use_face_correction" type = "checkbox" checked > < label for = "use_face_correction" > Fix incorrect faces and eyes (uses GFPGAN)< / label > < / li >
< li >
< input id = "use_upscale" name = "use_upscale" type = "checkbox" > < label for = "use_upscale" > Upscale the image to 4x resolution using < / label >
< select id = "upscale_model" name = "upscale_model" >
< option value = "RealESRGAN_x4plus" selected > RealESRGAN_x4plus< / option >
< option value = "RealESRGAN_x4plus_anime_6B" > RealESRGAN_x4plus_anime_6B< / option >
< / select >
< / li >
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< li > < input id = "show_only_filtered_image" name = "show_only_filtered_image" type = "checkbox" checked > < label for = "show_only_filtered_image" > Show only the corrected/upscaled image< / label > < / li >
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< br / >
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< li > < label for = "seed" > Seed:< / label > < input id = "seed" name = "seed" size = "10" value = "30000" > < input id = "random_seed" name = "random_seed" type = "checkbox" checked > < label for = "random_seed" > Random Image< / label > < / li >
< li > < label for = "num_outputs_total" > Number of images to make:< / label > < input id = "num_outputs_total" name = "num_outputs_total" value = "1" size = "4" > < label for = "num_outputs_parallel" > Generate in parallel:< / label > < input id = "num_outputs_parallel" name = "num_outputs_parallel" value = "1" size = "4" > (images at once)< / li >
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< li > < label for = "width" > Width:< / label >
< select id = "width" name = "width" value = "512" >
< option value = "128" > 128 (*)< / option >
< option value = "192" > 192< / option >
< option value = "256" > 256 (*)< / option >
< option value = "320" > 320< / option >
< option value = "384" > 384< / option >
< option value = "448" > 448< / option >
< option value = "512" selected > 512 (*)< / option >
< option value = "576" > 576< / option >
< option value = "640" > 640< / option >
< option value = "704" > 704< / option >
< option value = "768" > 768 (*)< / option >
< option value = "832" > 832< / option >
< option value = "896" > 896< / option >
< option value = "960" > 960< / option >
< option value = "1024" > 1024 (*)< / option >
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< option value = "1280" > 1280< / option >
< option value = "1536" > 1536< / option >
< option value = "1792" > 1792< / option >
< option value = "2048" > 2048< / option >
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< / select >
< / li >
< li > < label for = "height" > Height:< / label >
< select id = "height" name = "height" value = "512" >
< option value = "128" > 128 (*)< / option >
< option value = "192" > 192< / option >
< option value = "256" > 256 (*)< / option >
< option value = "320" > 320< / option >
< option value = "384" > 384< / option >
< option value = "448" > 448< / option >
< option value = "512" selected > 512 (*)< / option >
< option value = "576" > 576< / option >
< option value = "640" > 640< / option >
< option value = "704" > 704< / option >
< option value = "768" > 768 (*)< / option >
< option value = "832" > 832< / option >
< option value = "896" > 896< / option >
< option value = "960" > 960< / option >
< option value = "1024" > 1024 (*)< / option >
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< option value = "1280" > 1280< / option >
< option value = "1536" > 1536< / option >
< option value = "1792" > 1792< / option >
< option value = "2048" > 2048< / option >
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< / select >
< / li >
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< li > < label for = "num_inference_steps" > Number of inference steps:< / label > < input id = "num_inference_steps" name = "num_inference_steps" size = "4" value = "50" > < / li >
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< li > < label for = "guidance_scale_slider" > Guidance Scale:< / label > < input id = "guidance_scale_slider" name = "guidance_scale_slider" class = "editor-slider" value = "75" type = "range" min = "10" max = "200" > < input id = "guidance_scale" name = "guidance_scale" size = "4" > < / li >
< li > < span id = "prompt_strength_container" > < label for = "prompt_strength_slider" > Prompt Strength:< / label > < input id = "prompt_strength_slider" name = "prompt_strength_slider" class = "editor-slider" value = "80" type = "range" min = "0" max = "99" > < input id = "prompt_strength" name = "prompt_strength" size = "4" > < br / > < / span > < / li >
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< li > < / li >
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< li > < input id = "save_to_disk" name = "save_to_disk" type = "checkbox" > < label for = "save_to_disk" > Automatically save to < input id = "diskPath" name = "diskPath" size = "40" disabled > < / label > < / li >
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< li > < input id = "sound_toggle" name = "sound_toggle" type = "checkbox" checked > < label for = "sound_toggle" > Play sound on task completion< / label > < / li >
< li > < input id = "turbo" name = "turbo" type = "checkbox" checked > < label for = "turbo" > Turbo mode (generates images faster, but uses an additional 1 GB of GPU memory)< / label > < / li >
< li > < input id = "use_cpu" name = "use_cpu" type = "checkbox" > < label for = "use_cpu" > Use CPU instead of GPU (warning: this will be *very* slow)< / label > < / li >
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< li > < input id = "use_full_precision" name = "use_full_precision" type = "checkbox" > < label for = "use_full_precision" > Use full precision (for GPU-only. warning: this will consume more VRAM)< / label > < / li >
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<!-- <li><input id="allow_nsfw" name="allow_nsfw" type="checkbox"> <label for="allow_nsfw">Allow NSFW Content (You confirm you are above 18 years of age)</label></li> -->
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< br / >
< li > < input id = "use_beta_channel" name = "use_beta_channel" type = "checkbox" > < label for = "use_beta_channel" > 🔥Beta channel. Get the latest features immediately (but could be less stable). Please restart the program after changing this.< / label > < / li >
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< / ul >
< / div >
< div id = "editor-modifiers" class = "panel-box" >
< h4 class = "collapsible" > Image Modifiers (art styles, tags etc)< / h4 >
< div id = "editor-modifiers-entries" class = "collapsible-content" >
< / div >
< / div >
< / div >
< div id = "preview" class = "col-50" >
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< div id = "preview-prompt" > Type a prompt and press the "Make Image" button.< br / > < br / > You can set an "Initial Image" if you want to guide the AI.< br / > < br / > You can also add modifiers like "Realistic", "Pencil Sketch", "ArtStation" etc by browsing through the "Image Modifiers" section and selecting the desired modifiers.< br / > < br / > Click "Advanced Settings" for additional settings like seed, image size, number of images to generate etc.< br / > < br / > Enjoy! :)< / div >
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< div id = "outputMsg" > < / div >
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< div id = "progressBar" > < / div >
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< div id = "current-images" class = "img-preview" >
< / div >
< / div >
< / div >
< div class = "line-separator" > < / div >
< div id = "footer" class = "panel-box" >
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< p > If you found this project useful and want to help keep it alive, please < a href = "https://ko-fi.com/cmdr2_stablediffusion_ui" target = "_blank" > < img src = "media/kofi.png" id = "coffeeButton" > < / a > to help cover the cost of development and maintenance! Thank you for your support!< / p >
< p > Please feel free to join the < a href = "https://discord.com/invite/u9yhsFmEkB" target = "_blank" > discord community< / a > or < a href = "https://github.com/cmdr2/stable-diffusion-ui/issues" target = "_blank" > file an issue< / a > if you have any problems or suggestions in using this interface.< / p >
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< div id = "footer-legal" >
< p > < b > Disclaimer:< / b > The authors of this project are not responsible for any content generated using this interface.< / p >
< p > This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, < br / > spread misinformation and target vulnerable groups. For the full list of restrictions please read < a href = "https://github.com/cmdr2/stable-diffusion-ui/blob/main/LICENSE" target = "_blank" > the license< / a > .< / p >
< p > By using this software, you consent to the terms and conditions of the license.< / p >
< / div >
< / div >
< / div >
< / body >
< script >
const SOUND_ENABLED_KEY = "soundEnabled"
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const SAVE_TO_DISK_KEY = "saveToDisk"
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const USE_CPU_KEY = "useCPU"
const USE_FULL_PRECISION_KEY = "useFullPrecision"
const USE_TURBO_MODE_KEY = "useTurboMode"
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const DISK_PATH_KEY = "diskPath"
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const ADVANCED_PANEL_OPEN_KEY = "advancedPanelOpen"
const MODIFIERS_PANEL_OPEN_KEY = "modifiersPanelOpen"
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const USE_FACE_CORRECTION_KEY = "useFaceCorrection"
const USE_UPSCALING_KEY = "useUpscaling"
const SHOW_ONLY_FILTERED_IMAGE_KEY = "showOnlyFilteredImage"
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const STREAM_IMAGE_PROGRESS_KEY = "streamImageProgress"
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const HEALTH_PING_INTERVAL = 5 // seconds
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const MAX_INIT_IMAGE_DIMENSION = 768
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const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64')
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let sessionId = new Date().getTime()
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let promptField = document.querySelector('#prompt')
let numOutputsTotalField = document.querySelector('#num_outputs_total')
let numOutputsParallelField = document.querySelector('#num_outputs_parallel')
let numInferenceStepsField = document.querySelector('#num_inference_steps')
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let guidanceScaleSlider = document.querySelector('#guidance_scale_slider')
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let guidanceScaleField = document.querySelector('#guidance_scale')
let randomSeedField = document.querySelector("#random_seed")
let seedField = document.querySelector('#seed')
let widthField = document.querySelector('#width')
let heightField = document.querySelector('#height')
let initImageSelector = document.querySelector("#init_image")
let initImagePreview = document.querySelector("#init_image_preview")
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let maskImageSelector = document.querySelector("#mask")
let maskImagePreview = document.querySelector("#mask_preview")
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let turboField = document.querySelector('#turbo')
let useCPUField = document.querySelector('#use_cpu')
let useFullPrecisionField = document.querySelector('#use_full_precision')
let saveToDiskField = document.querySelector('#save_to_disk')
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let diskPathField = document.querySelector('#diskPath')
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// let allowNSFWField = document.querySelector("#allow_nsfw")
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let useBetaChannelField = document.querySelector("#use_beta_channel")
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let promptStrengthSlider = document.querySelector('#prompt_strength_slider')
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let promptStrengthField = document.querySelector('#prompt_strength')
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let useFaceCorrectionField = document.querySelector("#use_face_correction")
let useUpscalingField = document.querySelector("#use_upscale")
let upscaleModelField = document.querySelector("#upscale_model")
let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image")
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let updateBranchLabel = document.querySelector("#updateBranchLabel")
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let streamImageProgressField = document.querySelector("#stream_image_progress")
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let makeImageBtn = document.querySelector('#makeImage')
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let stopImageBtn = document.querySelector('#stopImage')
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let imagesContainer = document.querySelector('#current-images')
let initImagePreviewContainer = document.querySelector('#init_image_preview_container')
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let initImageClearBtn = document.querySelector('.init_image_clear')
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let promptStrengthContainer = document.querySelector('#prompt_strength_container')
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// let maskSetting = document.querySelector('#editor-inputs-mask_setting')
// let maskImagePreviewContainer = document.querySelector('#mask_preview_container')
// let maskImageClearBtn = document.querySelector('#mask_clear')
let maskSetting = document.querySelector('#enable_mask')
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let editorModifierEntries = document.querySelector('#editor-modifiers-entries')
let editorModifierTagsList = document.querySelector('#editor-inputs-tags-list')
let editorTagsContainer = document.querySelector('#editor-inputs-tags-container')
let previewPrompt = document.querySelector('#preview-prompt')
let showConfigToggle = document.querySelector('#configToggleBtn')
// let configBox = document.querySelector('#config')
let outputMsg = document.querySelector('#outputMsg')
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let progressBar = document.querySelector("#progressBar")
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let soundToggle = document.querySelector('#sound_toggle')
let serverStatusColor = document.querySelector('#server-status-color')
let serverStatusMsg = document.querySelector('#server-status-msg')
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let advancedPanelHandle = document.querySelector("#editor-settings .collapsible")
let modifiersPanelHandle = document.querySelector("#editor-modifiers .collapsible")
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let inpaintingEditorContainer = document.querySelector('#inpaintingEditor')
let inpaintingEditor = new DrawingBoard.Board('inpaintingEditor', {
color: "#ffffff",
background: false,
size: 30,
webStorage: false,
controls: [{'DrawingMode': {'filler': false}}, 'Size', 'Navigation']
})
let inpaintingEditorCanvasBackground = document.querySelector('.drawing-board-canvas-wrapper')
// let inpaintingEditorControls = document.querySelector('.drawing-board-controls')
// let inpaintingEditorMetaControl = document.createElement('div')
// inpaintingEditorMetaControl.className = 'drawing-board-control'
// let initImageClearBtnToolbar = document.createElement('button')
// initImageClearBtnToolbar.className = 'init_image_clear'
// initImageClearBtnToolbar.innerHTML = 'Remove Image'
// inpaintingEditorMetaControl.appendChild(initImageClearBtnToolbar)
// inpaintingEditorControls.appendChild(inpaintingEditorMetaControl)
let maskResetButton = document.querySelector('.drawing-board-control-navigation-reset')
maskResetButton.innerHTML = 'Clear'
maskResetButton.style.fontWeight = 'normal'
maskResetButton.style.fontSize = '10pt'
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let serverStatus = 'offline'
let activeTags = []
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let lastPromptUsed = ''
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let taskStopped = true
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let batchesDone = 0
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function getLocalStorageItem(key, fallback) {
let item = localStorage.getItem(key)
if (item === null) {
return fallback
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}
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return item
}
function getLocalStorageBoolItem(key, fallback) {
let item = localStorage.getItem(key)
if (item === null) {
return fallback
}
return (item === 'true' ? true : false)
}
function handleBoolSettingChange(key) {
return function(e) {
localStorage.setItem(key, e.target.checked.toString())
}
}
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function handleStringSettingChange(key) {
return function(e) {
localStorage.setItem(key, e.target.value.toString())
}
}
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function isSoundEnabled() {
return getLocalStorageBoolItem(SOUND_ENABLED_KEY, true)
}
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function isFaceCorrectionEnabled() {
return getLocalStorageBoolItem(USE_FACE_CORRECTION_KEY, false)
}
function isUpscalingEnabled() {
return getLocalStorageBoolItem(USE_UPSCALING_KEY, false)
}
function isShowOnlyFilteredImageEnabled() {
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return getLocalStorageBoolItem(SHOW_ONLY_FILTERED_IMAGE_KEY, true)
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}
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function isSaveToDiskEnabled() {
return getLocalStorageBoolItem(SAVE_TO_DISK_KEY, false)
}
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function isUseCPUEnabled() {
return getLocalStorageBoolItem(USE_CPU_KEY, false)
}
function isUseFullPrecisionEnabled() {
return getLocalStorageBoolItem(USE_FULL_PRECISION_KEY, false)
}
function isUseTurboModeEnabled() {
return getLocalStorageBoolItem(USE_TURBO_MODE_KEY, true)
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}
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function getSavedDiskPath() {
return getLocalStorageItem(DISK_PATH_KEY, '')
}
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function isAdvancedPanelOpenEnabled() {
return getLocalStorageBoolItem(ADVANCED_PANEL_OPEN_KEY, false)
}
function isModifiersPanelOpenEnabled() {
return getLocalStorageBoolItem(MODIFIERS_PANEL_OPEN_KEY, false)
}
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function isStreamImageProgressEnabled() {
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return getLocalStorageBoolItem(STREAM_IMAGE_PROGRESS_KEY, false)
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}
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function setStatus(statusType, msg, msgType) {
if (statusType !== 'server') {
return;
}
if (msgType == 'error') {
// msg = '< span style = "color: red" > ' + msg + '< span > '
serverStatusColor.style.backgroundColor = 'red'
serverStatusMsg.style.color = 'red'
serverStatusMsg.innerHTML = 'Stable Diffusion has stopped'
} else if (msgType == 'success') {
// msg = '< span style = "color: green" > ' + msg + '< span > '
serverStatusColor.style.backgroundColor = 'green'
serverStatusMsg.style.color = 'green'
serverStatusMsg.innerHTML = 'Stable Diffusion is ready'
serverStatus = 'online'
}
}
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function logMsg(msg, level) {
if (level === 'error') {
outputMsg.innerHTML = '< span style = "color: red" > Error: ' + msg + '< / span > '
} else if (level === 'warn') {
outputMsg.innerHTML = '< span style = "color: orange" > Warning: ' + msg + '< / span > '
} else {
outputMsg.innerHTML = msg
}
console.log(level, msg)
}
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function logError(msg, res) {
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logMsg(msg, 'error')
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console.log('request error', res)
setStatus('request', 'error', 'error')
}
function playSound() {
const audio = new Audio('/media/ding.mp3')
audio.volume = 0.2
audio.play()
}
async function healthCheck() {
try {
let res = await fetch('/ping')
res = await res.json()
if (res[0] == 'OK') {
setStatus('server', 'online', 'success')
} else {
setStatus('server', 'offline', 'error')
}
} catch (e) {
setStatus('server', 'offline', 'error')
}
}
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function makeImageElement(width, height) {
let imgItem = document.createElement('div')
imgItem.className = 'imgItem'
let img = document.createElement('img')
img.width = parseInt(width)
img.height = parseInt(height)
imgItem.appendChild(img)
imagesContainer.appendChild(imgItem)
return imgItem
}
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// makes a single image. don't call this directly, use makeImage() instead
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async function doMakeImage(reqBody, batchCount) {
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if (taskStopped) {
return
}
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let res = ''
let seed = reqBody['seed']
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let numOutputs = parseInt(reqBody['num_outputs'])
let images = []
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function makeImageContainers(numImages) {
for (let i = images.length; i < numImages ; i + + ) {
images.push(makeImageElement(reqBody.width, reqBody.height))
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}
}
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try {
res = await fetch('/image', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(reqBody)
})
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let reader = res.body.getReader()
let textDecoder = new TextDecoder()
let finalJSON = ''
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let prevTime = -1
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while (true) {
try {
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let t = new Date().getTime()
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const {value, done} = await reader.read()
if (done) {
break
}
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let timeTaken = (prevTime === -1 ? -1 : t - prevTime)
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let jsonStr = textDecoder.decode(value)
try {
let stepUpdate = JSON.parse(jsonStr)
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if (stepUpdate.step === undefined) {
finalJSON += jsonStr
} else {
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let batchSize = parseInt(reqBody['num_inference_steps'])
let overallStepCount = stepUpdate.step + batchesDone * batchSize
let totalSteps = batchCount * batchSize
let percent = 100 * (overallStepCount / totalSteps)
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percent = (percent > 100 ? 100 : percent)
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percent = percent.toFixed(0)
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stepsRemaining = totalSteps - overallStepCount
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stepsRemaining = (stepsRemaining < 0 ? 0 : stepsRemaining )
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timeRemaining = (timeTaken === -1 ? '' : stepsRemaining * timeTaken) // ms
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outputMsg.innerHTML = `Batch ${batchesDone+1} of ${batchCount}`
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progressBar.innerHTML = `Generating image(s): ${percent}%`
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if (timeTaken !== -1) {
progressBar.innerHTML += `< br > Time remaining (approx): ${millisecondsToStr(timeRemaining)}`
}
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progressBar.style.display = 'block'
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if (stepUpdate.output !== undefined) {
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makeImageContainers(numOutputs)
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for (idx in stepUpdate.output) {
let imgItem = images[idx]
let img = imgItem.firstChild
let tmpImageData = stepUpdate.output[idx]
img.src = tmpImageData['path'] + '?t=' + new Date().getTime()
}
}
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}
} catch (e) {
finalJSON += jsonStr
}
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prevTime = t
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} catch (e) {
logError('Stable Diffusion had an error. Please check the logs in the command-line window. This happens sometimes. Maybe modify the prompt or seed a little bit?', res)
res = undefined
throw e
}
}
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if (res.status != 200) {
if (serverStatus === 'online') {
logError('Stable Diffusion had an error: ' + await res.text() + '. This happens sometimes. Maybe modify the prompt or seed a little bit?', res)
} else {
logError("Stable Diffusion is still starting up, please wait. If this goes on beyond a few minutes, Stable Diffusion has probably crashed.", res)
}
res = undefined
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progressBar.style.display = 'none'
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} else {
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res = JSON.parse(finalJSON)
progressBar.style.display = 'none'
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if (res.status !== 'succeeded') {
let msg = ''
if (res.detail !== undefined) {
msg = res.detail
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if (msg.toLowerCase().includes('out of memory')) {
msg += `< br / > < br / >
< b > Suggestions< / b > :
< br / >
1. If you have set an initial image, please try reducing its dimension to ${MAX_INIT_IMAGE_DIMENSION}x${MAX_INIT_IMAGE_DIMENSION} or smaller.< br / >
2. Try disabling the '< em > Turbo mode< / em > ' under '< em > Advanced Settings< / em > '.< br / >
3. Try generating a smaller image.< br / > `
}
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} else {
msg = res
}
logError(msg, res)
res = undefined
}
}
} catch (e) {
console.log('request error', e)
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logError('Stable Diffusion had an error. Please check the logs in the command-line window. This happens sometimes. Maybe modify the prompt or seed a little bit?', res)
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setStatus('request', 'error', 'error')
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progressBar.style.display = 'none'
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}
if (!res) {
return false
}
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lastPromptUsed = reqBody['prompt']
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makeImageContainers(res.output.length)
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for (let idx in res.output) {
let imgBody = ''
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let seed = 0
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try {
let imgData = res.output[idx]
imgBody = imgData.data
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seed = imgData.seed
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} catch (e) {
console.log(imgBody)
setStatus('request', 'invalid image', 'error')
continue
}
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let imgItem = images[idx]
let img = imgItem.firstChild
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img.src = imgBody
let imgItemInfo = document.createElement('span')
imgItemInfo.className = 'imgItemInfo'
let imgSeedLabel = document.createElement('span')
imgSeedLabel.className = 'imgSeedLabel'
imgSeedLabel.innerHTML = 'Seed: ' + seed
let imgUseBtn = document.createElement('button')
imgUseBtn.className = 'imgUseBtn'
imgUseBtn.innerHTML = 'Use as Input'
let imgSaveBtn = document.createElement('button')
imgSaveBtn.className = 'imgSaveBtn'
imgSaveBtn.innerHTML = 'Download'
imgItem.appendChild(imgItemInfo)
imgItemInfo.appendChild(imgSeedLabel)
imgItemInfo.appendChild(imgUseBtn)
imgItemInfo.appendChild(imgSaveBtn)
imgUseBtn.addEventListener('click', function() {
initImageSelector.value = null
initImagePreview.src = imgBody
initImagePreviewContainer.style.display = 'block'
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inpaintingEditorContainer.style.display = 'none'
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promptStrengthContainer.style.display = 'block'
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maskSetting.checked = false
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// maskSetting.style.display = 'block'
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randomSeedField.checked = false
seedField.value = seed
seedField.disabled = false
})
imgSaveBtn.addEventListener('click', function() {
let imgDownload = document.createElement('a')
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imgDownload.download = createFileName();
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imgDownload.href = imgBody
imgDownload.click()
})
imgItem.addEventListener('mouseenter', function() {
imgItemInfo.style.opacity = 1
})
imgItem.addEventListener('mouseleave', function() {
imgItemInfo.style.opacity = 0.5
})
}
return true
}
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function validateInput() {
let width = parseInt(widthField.value)
let height = parseInt(heightField.value)
if (IMAGE_REGEX.test(initImagePreview.src)) {
if (initImagePreview.naturalWidth > MAX_INIT_IMAGE_DIMENSION || initImagePreview.naturalHeight > MAX_INIT_IMAGE_DIMENSION) {
return {'isValid': false, 'warning': `The dimensions of your initial image are very large, and can cause 'Out of Memory' errors! Please ensure that its dimensions are equal (or smaller) than the desired output image.
< br / > < br / >
Your initial image size is ${initImagePreview.naturalWidth}x${initImagePreview.naturalHeight} pixels. Please try to keep it smaller than ${MAX_INIT_IMAGE_DIMENSION}x${MAX_INIT_IMAGE_DIMENSION}.`}
}
}
return {'isValid': true}
}
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async function makeImage() {
if (serverStatus !== 'online') {
logError('The server is still starting up..')
return
}
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let validation = validateInput()
if (validation['isValid']) {
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outputMsg.innerHTML = 'Starting..'
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} else {
if (validation['error']) {
logError(validation['error'])
return
} else if (validation['warning']) {
logMsg(validation['warning'], 'warn')
}
}
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setStatus('request', 'fetching..')
makeImageBtn.innerHTML = 'Processing..'
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makeImageBtn.disabled = true
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makeImageBtn.style.display = 'none'
stopImageBtn.style.display = 'block'
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taskStopped = false
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batchesDone = 0
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let seed = (randomSeedField.checked ? Math.floor(Math.random() * 10000000) : parseInt(seedField.value))
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let numOutputsTotal = parseInt(numOutputsTotalField.value)
let numOutputsParallel = parseInt(numOutputsParallelField.value)
let batchCount = Math.ceil(numOutputsTotal / numOutputsParallel)
let batchSize = numOutputsParallel
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let streamImageProgress = (numOutputsTotal > 50 ? false : streamImageProgressField.checked)
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let prompt = promptField.value
if (activeTags.length > 0) {
let promptTags = activeTags.join(", ")
prompt += ", " + promptTags
}
previewPrompt.innerHTML = prompt
let reqBody = {
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session_id: sessionId,
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prompt: prompt,
num_outputs: batchSize,
num_inference_steps: numInferenceStepsField.value,
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guidance_scale: guidanceScaleField.value,
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width: widthField.value,
height: heightField.value,
// allow_nsfw: allowNSFWField.checked,
turbo: turboField.checked,
use_cpu: useCPUField.checked,
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use_full_precision: useFullPrecisionField.checked,
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stream_progress_updates: true,
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stream_image_progress: streamImageProgress,
show_only_filtered_image: showOnlyFilteredImageField.checked
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}
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if (IMAGE_REGEX.test(initImagePreview.src)) {
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reqBody['init_image'] = initImagePreview.src
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reqBody['prompt_strength'] = promptStrengthField.value
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// if (IMAGE_REGEX.test(maskImagePreview.src)) {
// reqBody['mask'] = maskImagePreview.src
// }
if (maskSetting.checked) {
reqBody['mask'] = inpaintingEditor.getImg()
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}
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}
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if (saveToDiskField.checked & & diskPathField.value.trim() !== '') {
reqBody['save_to_disk_path'] = diskPathField.value.trim()
}
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if (useFaceCorrectionField.checked) {
reqBody['use_face_correction'] = 'GFPGANv1.3'
}
if (useUpscalingField.checked) {
reqBody['use_upscale'] = upscaleModelField.value
}
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let time = new Date().getTime()
imagesContainer.innerHTML = ''
let successCount = 0
for (let i = 0; i < batchCount ; i + + ) {
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reqBody['seed'] = seed + (i * batchSize)
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let success = await doMakeImage(reqBody, batchCount)
batchesDone++
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if (success) {
outputMsg.innerHTML = 'Processed batch ' + (i+1) + '/' + batchCount
successCount++
}
}
makeImageBtn.innerHTML = 'Make Image'
makeImageBtn.disabled = false
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makeImageBtn.style.display = 'block'
stopImageBtn.style.display = 'none'
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if (isSoundEnabled()) {
playSound()
}
time = new Date().getTime() - time
time /= 1000
if (successCount === batchCount) {
outputMsg.innerHTML = 'Processed ' + numOutputsTotal + ' images in ' + time + ' seconds'
setStatus('request', 'done', 'success')
}
if (randomSeedField.checked) {
seedField.value = seed
}
}
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// create a file name with embedded prompt and metadata
// for easier cateloging and comparison
function createFileName() {
// Most important information is the prompt
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let underscoreName = lastPromptUsed.replace(/[^a-zA-Z0-9]/g, '_')
underscoreName = underscoreName.substring(0, 100)
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const seed = seedField.value
const steps = numInferenceStepsField.value
const guidance = guidanceScaleField.value
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// name and the top level metadata
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let fileName = `${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}`
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// add the tags
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// let tags = [];
// let tagString = '';
// document.querySelectorAll(modifyTagsSelector).forEach(function(tag) {
// tags.push(tag.innerHTML);
// })
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// join the tags with a pipe
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// if (activeTags.length > 0) {
// tagString = '_Tags-';
// tagString += tags.join('|');
// }
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// // append empty or populated tags
// fileName += `${tagString}`;
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// add the file extension
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fileName += `.png`
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return fileName
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}
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stopImageBtn.addEventListener('click', async function() {
try {
let res = await fetch('/image/stop')
} catch (e) {
console.log(e)
}
stopImageBtn.style.display = 'none'
makeImageBtn.style.display = 'block'
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taskStopped = true
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})
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soundToggle.addEventListener('click', handleBoolSettingChange(SOUND_ENABLED_KEY))
soundToggle.checked = isSoundEnabled()
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saveToDiskField.checked = isSaveToDiskEnabled()
diskPathField.disabled = !saveToDiskField.checked
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useFaceCorrectionField.addEventListener('click', handleBoolSettingChange(USE_FACE_CORRECTION_KEY))
useFaceCorrectionField.checked = isFaceCorrectionEnabled()
useUpscalingField.checked = isUpscalingEnabled()
upscaleModelField.disabled = !useUpscalingField.checked
showOnlyFilteredImageField.addEventListener('click', handleBoolSettingChange(SHOW_ONLY_FILTERED_IMAGE_KEY))
showOnlyFilteredImageField.checked = isShowOnlyFilteredImageEnabled()
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useCPUField.addEventListener('click', handleBoolSettingChange(USE_CPU_KEY))
useCPUField.checked = isUseCPUEnabled()
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useFullPrecisionField.addEventListener('click', handleBoolSettingChange(USE_FULL_PRECISION_KEY))
useFullPrecisionField.checked = isUseFullPrecisionEnabled()
turboField.addEventListener('click', handleBoolSettingChange(USE_TURBO_MODE_KEY))
turboField.checked = isUseTurboModeEnabled()
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streamImageProgressField.addEventListener('click', handleBoolSettingChange(STREAM_IMAGE_PROGRESS_KEY))
streamImageProgressField.checked = isStreamImageProgressEnabled()
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diskPathField.addEventListener('change', handleStringSettingChange(DISK_PATH_KEY))
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saveToDiskField.addEventListener('click', function(e) {
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diskPathField.disabled = !this.checked
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handleBoolSettingChange(SAVE_TO_DISK_KEY)(e)
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})
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useUpscalingField.addEventListener('click', function(e) {
upscaleModelField.disabled = !this.checked
handleBoolSettingChange(USE_UPSCALING_KEY)(e)
})
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function setPanelOpen(panelHandle) {
let panelContents = panelHandle.nextElementSibling
panelHandle.classList.add('active')
panelContents.style.display = 'block'
}
if (isAdvancedPanelOpenEnabled()) {
setPanelOpen(advancedPanelHandle)
}
if (isModifiersPanelOpenEnabled()) {
setPanelOpen(modifiersPanelHandle)
}
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makeImageBtn.addEventListener('click', makeImage)
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function updateGuidanceScale() {
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guidanceScaleField.value = guidanceScaleSlider.value / 10
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}
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function updateGuidanceScaleSlider() {
if (guidanceScaleField.value < 0 ) {
guidanceScaleField.value = 0
} else if (guidanceScaleField.value > 20) {
guidanceScaleField.value = 20
}
guidanceScaleSlider.value = guidanceScaleField.value * 10
}
guidanceScaleSlider.addEventListener('input', updateGuidanceScale)
guidanceScaleField.addEventListener('input', updateGuidanceScaleSlider)
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updateGuidanceScale()
function updatePromptStrength() {
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promptStrengthField.value = promptStrengthSlider.value / 100
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}
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function updatePromptStrengthSlider() {
if (promptStrengthField.value < 0 ) {
promptStrengthField.value = 0
} else if (promptStrengthField.value > 0.99) {
promptStrengthField.value = 0.99
}
promptStrengthSlider.value = promptStrengthField.value * 100
}
promptStrengthSlider.addEventListener('input', updatePromptStrength)
promptStrengthField.addEventListener('input', updatePromptStrengthSlider)
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updatePromptStrength()
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useBetaChannelField.addEventListener('click', async function(e) {
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if (serverStatus !== 'online') {
logError('The server is still starting up..')
alert('The server is still starting up..')
e.preventDefault()
return false
}
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let updateBranch = (this.checked ? 'beta' : 'main')
try {
let res = await fetch('/app_config', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({
'update_branch': updateBranch
})
})
res = await res.json()
console.log('set config status response', res)
} catch (e) {
console.log('set config status error', e)
}
})
async function getAppConfig() {
try {
let res = await fetch('/app_config')
config = await res.json()
if (config.update_branch === 'beta') {
useBetaChannelField.checked = true
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updateBranchLabel.innerHTML = "(beta)"
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}
console.log('get config status response', config)
} catch (e) {
console.log('get config status error', e)
}
}
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function checkRandomSeed() {
if (randomSeedField.checked) {
seedField.disabled = true
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seedField.value = "0"
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} else {
seedField.disabled = false
}
}
randomSeedField.addEventListener('input', checkRandomSeed)
checkRandomSeed()
function showInitImagePreview() {
if (initImageSelector.files.length === 0) {
initImagePreviewContainer.style.display = 'none'
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// inpaintingEditorContainer.style.display = 'none'
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promptStrengthContainer.style.display = 'none'
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// maskSetting.style.display = 'none'
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return
}
let reader = new FileReader()
let file = initImageSelector.files[0]
reader.addEventListener('load', function() {
// console.log(file.name, reader.result)
initImagePreview.src = reader.result
initImagePreviewContainer.style.display = 'block'
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inpaintingEditorContainer.style.display = 'none'
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promptStrengthContainer.style.display = 'block'
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// maskSetting.checked = false
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})
if (file) {
reader.readAsDataURL(file)
}
}
initImageSelector.addEventListener('change', showInitImagePreview)
showInitImagePreview()
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initImagePreview.addEventListener('load', function() {
inpaintingEditorCanvasBackground.style.backgroundImage = "url('" + this.src + "')"
// maskSetting.style.display = 'block'
// inpaintingEditorContainer.style.display = 'block'
})
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initImageClearBtn.addEventListener('click', function() {
initImageSelector.value = null
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// maskImageSelector.value = null
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initImagePreview.src = ''
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// maskImagePreview.src = ''
maskSetting.checked = false
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initImagePreviewContainer.style.display = 'none'
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// inpaintingEditorContainer.style.display = 'none'
// maskImagePreviewContainer.style.display = 'none'
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// maskSetting.style.display = 'none'
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promptStrengthContainer.style.display = 'none'
})
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maskSetting.addEventListener('click', function() {
inpaintingEditorContainer.style.display = (this.checked ? 'block' : 'none')
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})
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// function showMaskImagePreview() {
// if (maskImageSelector.files.length === 0) {
// // maskImagePreviewContainer.style.display = 'none'
// return
// }
// let reader = new FileReader()
// let file = maskImageSelector.files[0]
// reader.addEventListener('load', function() {
// // maskImagePreview.src = reader.result
// // maskImagePreviewContainer.style.display = 'block'
// })
// if (file) {
// reader.readAsDataURL(file)
// }
// }
// maskImageSelector.addEventListener('change', showMaskImagePreview)
// showMaskImagePreview()
// maskImageClearBtn.addEventListener('click', function() {
// maskImageSelector.value = null
// maskImagePreview.src = ''
// // maskImagePreviewContainer.style.display = 'none'
// })
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// https://stackoverflow.com/a/8212878
function millisecondsToStr(milliseconds) {
function numberEnding (number) {
return (number > 1) ? 's' : '';
}
var temp = Math.floor(milliseconds / 1000);
var hours = Math.floor((temp %= 86400) / 3600);
var s = ''
if (hours) {
s += hours + ' hour' + numberEnding(hours) + ' ';
}
var minutes = Math.floor((temp %= 3600) / 60);
if (minutes) {
s += minutes + ' minute' + numberEnding(minutes) + ' ';
}
var seconds = temp % 60;
if (!hours & & minutes < 4 & & seconds ) {
s += seconds + ' second' + numberEnding(seconds);
}
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if (s === '') {
s = 'almost done'
}
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return s;
}
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< / script >
< script >
function createCollapsibles(node) {
if (!node) {
node = document
}
let collapsibles = node.querySelectorAll(".collapsible")
collapsibles.forEach(function(c) {
let handle = document.createElement('span')
handle.className = 'collapsible-handle'
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if (c.className.indexOf('active') !== -1) {
handle.innerHTML = '➖ ' // minus
} else {
handle.innerHTML = '➕ ' // plus
}
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c.insertBefore(handle, c.firstChild)
c.addEventListener('click', function() {
this.classList.toggle("active")
let content = this.nextElementSibling
if (content.style.display === "block") {
content.style.display = "none"
handle.innerHTML = '➕ ' // plus
} else {
content.style.display = "block"
handle.innerHTML = '➖ ' // minus
}
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if (this == advancedPanelHandle) {
let state = (content.style.display === 'block' ? 'true' : 'false')
localStorage.setItem(ADVANCED_PANEL_OPEN_KEY, state)
} else if (this == modifiersPanelHandle) {
let state = (content.style.display === 'block' ? 'true' : 'false')
localStorage.setItem(MODIFIERS_PANEL_OPEN_KEY, state)
}
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})
})
}
createCollapsibles()
function refreshTagsList() {
editorModifierTagsList.innerHTML = ''
if (activeTags.length == 0) {
editorTagsContainer.style.display = 'none'
return
} else {
editorTagsContainer.style.display = 'block'
}
activeTags.forEach(function(tag) {
let el = document.createElement('div')
el.className = 'prompt-modifier-tag'
el.innerHTML = tag
editorModifierTagsList.appendChild(el)
el.addEventListener('click', function() {
let idx = activeTags.indexOf(tag)
if (idx !== -1) {
activeTags.splice(idx, 1)
refreshTagsList()
}
})
})
let brk = document.createElement('br')
brk.style.clear = 'both'
editorModifierTagsList.appendChild(brk)
}
async function getDiskPath() {
try {
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let diskPath = getSavedDiskPath()
if (diskPath !== '') {
diskPathField.value = diskPath
return
}
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let res = await fetch('/output_dir')
if (res.status === 200) {
res = await res.json()
res = res[0]
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document.querySelector('#diskPath').value = res
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}
} catch (e) {
console.log('error fetching output dir path', e)
}
}
async function loadModifiers() {
try {
let res = await fetch('/modifiers.json')
if (res.status === 200) {
res = await res.json()
res.forEach(function(m) {
let title = m[0]
let modifiers = m[1]
let titleEl = document.createElement('h5')
titleEl.className = 'collapsible'
titleEl.innerHTML = title
let modifiersEl = document.createElement('div')
modifiersEl.classList.add('collapsible-content', 'editor-modifiers-leaf')
modifiers.forEach(function(modifier) {
let tagEl = document.createElement('div')
tagEl.className = 'prompt-modifier-tag'
tagEl.innerHTML = modifier
modifiersEl.appendChild(tagEl)
tagEl.addEventListener('click', function() {
if (activeTags.includes(modifier)) {
return
}
activeTags.push(modifier)
refreshTagsList()
})
})
let brk = document.createElement('br')
brk.style.clear = 'both'
modifiersEl.appendChild(brk)
let e = document.createElement('div')
e.appendChild(titleEl)
e.appendChild(modifiersEl)
editorModifierEntries.appendChild(e)
})
createCollapsibles(editorModifierEntries)
}
} catch (e) {
console.log('error fetching modifiers', e)
}
}
async function init() {
await loadModifiers()
await getDiskPath()
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await getAppConfig()
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setInterval(healthCheck, HEALTH_PING_INTERVAL * 1000)
healthCheck()
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playSound()
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}
init()
< / script >
< / html >
