mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
move static into invokeai.frontend.web directory for dist install
This commit is contained in:
Lincoln Stein
BIN
invokeai/frontend/web/static/dream_web/favicon.ico
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BIN
invokeai/frontend/web/static/dream_web/favicon.ico
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After Width: | Height: | Size: 1.1 KiB |
179
invokeai/frontend/web/static/dream_web/index.css
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179
invokeai/frontend/web/static/dream_web/index.css
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|
||||
:root {
|
||||
--fields-dark:#DCDCDC;
|
||||
--fields-light:#F5F5F5;
|
||||
}
|
||||
|
||||
* {
|
||||
font-family: 'Arial';
|
||||
font-size: 100%;
|
||||
}
|
||||
body {
|
||||
font-size: 1em;
|
||||
}
|
||||
textarea {
|
||||
font-size: 0.95em;
|
||||
}
|
||||
header, form, #progress-section {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
max-width: 1024px;
|
||||
text-align: center;
|
||||
}
|
||||
fieldset {
|
||||
border: none;
|
||||
line-height: 2.2em;
|
||||
}
|
||||
fieldset > legend {
|
||||
width: auto;
|
||||
margin-left: 0;
|
||||
margin-right: auto;
|
||||
font-weight:bold;
|
||||
}
|
||||
select, input {
|
||||
margin-right: 10px;
|
||||
padding: 2px;
|
||||
}
|
||||
input:disabled {
|
||||
cursor:auto;
|
||||
}
|
||||
input[type=submit] {
|
||||
cursor: pointer;
|
||||
background-color: #666;
|
||||
color: white;
|
||||
}
|
||||
input[type=checkbox] {
|
||||
cursor: pointer;
|
||||
margin-right: 0px;
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
vertical-align: middle;
|
||||
}
|
||||
input#seed {
|
||||
margin-right: 0px;
|
||||
}
|
||||
div {
|
||||
padding: 10px 10px 10px 10px;
|
||||
}
|
||||
header {
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
header h1 {
|
||||
margin-bottom: 0;
|
||||
font-size: 2em;
|
||||
}
|
||||
#search-box {
|
||||
display: flex;
|
||||
}
|
||||
#scaling-inprocess-message {
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
display: none;
|
||||
}
|
||||
#prompt {
|
||||
flex-grow: 1;
|
||||
padding: 5px 10px 5px 10px;
|
||||
border: 1px solid #999;
|
||||
outline: none;
|
||||
}
|
||||
#submit {
|
||||
padding: 5px 10px 5px 10px;
|
||||
border: 1px solid #999;
|
||||
}
|
||||
#reset-all, #remove-image {
|
||||
margin-top: 12px;
|
||||
font-size: 0.8em;
|
||||
background-color: pink;
|
||||
border: 1px solid #999;
|
||||
border-radius: 4px;
|
||||
}
|
||||
#results {
|
||||
text-align: center;
|
||||
margin: auto;
|
||||
padding-top: 10px;
|
||||
}
|
||||
#results figure {
|
||||
display: inline-block;
|
||||
margin: 10px;
|
||||
}
|
||||
#results figcaption {
|
||||
font-size: 0.8em;
|
||||
padding: 3px;
|
||||
color: #888;
|
||||
cursor: pointer;
|
||||
}
|
||||
#results img {
|
||||
border-radius: 5px;
|
||||
object-fit: contain;
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#fieldset-config {
|
||||
line-height:2em;
|
||||
}
|
||||
input[type="number"] {
|
||||
width: 60px;
|
||||
}
|
||||
#seed {
|
||||
width: 150px;
|
||||
}
|
||||
button#reset-seed {
|
||||
font-size: 1.7em;
|
||||
background: #efefef;
|
||||
border: 1px solid #999;
|
||||
border-radius: 4px;
|
||||
line-height: 0.8;
|
||||
margin: 0 10px 0 0;
|
||||
padding: 0 5px 3px;
|
||||
vertical-align: middle;
|
||||
}
|
||||
label {
|
||||
white-space: nowrap;
|
||||
}
|
||||
#progress-section {
|
||||
display: none;
|
||||
}
|
||||
#progress-image {
|
||||
width: 30vh;
|
||||
height: 30vh;
|
||||
object-fit: contain;
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#cancel-button {
|
||||
cursor: pointer;
|
||||
color: red;
|
||||
}
|
||||
#txt2img {
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#variations {
|
||||
background-color: var(--fields-light);
|
||||
}
|
||||
#initimg {
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#img2img {
|
||||
background-color: var(--fields-light);
|
||||
}
|
||||
#initimg > :not(legend) {
|
||||
background-color: var(--fields-light);
|
||||
margin: .5em;
|
||||
}
|
||||
|
||||
#postprocess, #initimg {
|
||||
display:flex;
|
||||
flex-wrap:wrap;
|
||||
padding: 0;
|
||||
margin-top: 1em;
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#postprocess > fieldset, #initimg > * {
|
||||
flex-grow: 1;
|
||||
}
|
||||
#postprocess > fieldset {
|
||||
background-color: var(--fields-dark);
|
||||
}
|
||||
#progress-section {
|
||||
background-color: var(--fields-light);
|
||||
}
|
||||
#no-results-message:not(:only-child) {
|
||||
display: none;
|
||||
}
|
||||
187
invokeai/frontend/web/static/dream_web/index.html
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187
invokeai/frontend/web/static/dream_web/index.html
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@ -0,0 +1,187 @@
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>Stable Diffusion Dream Server</title>
|
||||
<meta charset="utf-8">
|
||||
<link rel="icon" type="image/x-icon" href="static/dream_web/favicon.ico" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
|
||||
<script src="config.js"></script>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/4.0.1/socket.io.js"
|
||||
integrity="sha512-q/dWJ3kcmjBLU4Qc47E4A9kTB4m3wuTY7vkFJDTZKjTs8jhyGQnaUrxa0Ytd0ssMZhbNua9hE+E7Qv1j+DyZwA=="
|
||||
crossorigin="anonymous"></script>
|
||||
<link rel="stylesheet" href="index.css">
|
||||
<script src="index.js"></script>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<header>
|
||||
<h1>Stable Diffusion Dream Server</h1>
|
||||
<div id="about">
|
||||
For news and support for this web service, visit our <a href="http://github.com/lstein/stable-diffusion">GitHub
|
||||
site</a>
|
||||
</div>
|
||||
</header>
|
||||
|
||||
<main>
|
||||
<!--
|
||||
<div id="dropper" style="background-color:red;width:200px;height:200px;">
|
||||
</div>
|
||||
-->
|
||||
<form id="generate-form" method="post" action="api/jobs">
|
||||
<fieldset id="txt2img">
|
||||
<legend>
|
||||
<input type="checkbox" name="enable_generate" id="enable_generate" checked>
|
||||
<label for="enable_generate">Generate</label>
|
||||
</legend>
|
||||
<div id="search-box">
|
||||
<textarea rows="3" id="prompt" name="prompt"></textarea>
|
||||
</div>
|
||||
<label for="iterations">Images to generate:</label>
|
||||
<input value="1" type="number" id="iterations" name="iterations" size="4">
|
||||
<label for="steps">Steps:</label>
|
||||
<input value="50" type="number" id="steps" name="steps">
|
||||
<label for="cfg_scale">Cfg Scale:</label>
|
||||
<input value="7.5" type="number" id="cfg_scale" name="cfg_scale" step="any">
|
||||
<label for="sampler_name">Sampler:</label>
|
||||
<select id="sampler_name" name="sampler_name" value="k_lms">
|
||||
<option value="ddim">DDIM</option>
|
||||
<option value="plms">PLMS</option>
|
||||
<option value="k_lms" selected>KLMS</option>
|
||||
<option value="k_dpm_2">KDPM_2</option>
|
||||
<option value="k_dpm_2_a">KDPM_2A</option>
|
||||
<option value="k_dpmpp_2">KDPMPP_2</option>
|
||||
<option value="k_dpmpp_2_a">KDPMPP_2A</option>
|
||||
<option value="k_euler">KEULER</option>
|
||||
<option value="k_euler_a">KEULER_A</option>
|
||||
<option value="k_heun">KHEUN</option>
|
||||
</select>
|
||||
<input type="checkbox" name="seamless" id="seamless">
|
||||
<label for="seamless">Seamless circular tiling</label>
|
||||
<br>
|
||||
<label title="Set to multiple of 64" for="width">Width:</label>
|
||||
<select id="width" name="width" value="512">
|
||||
<option value="64">64</option>
|
||||
<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>
|
||||
</select>
|
||||
<label title="Set to multiple of 64" for="height">Height:</label>
|
||||
<select id="height" name="height" value="512">
|
||||
<option value="64">64</option>
|
||||
<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>
|
||||
</select>
|
||||
<label title="Set to 0 for random seed" for="seed">Seed:</label>
|
||||
<input value="0" type="number" id="seed" name="seed">
|
||||
<button type="button" id="reset-seed">↺</button>
|
||||
<input type="checkbox" name="progress_images" id="progress_images">
|
||||
<label for="progress_images">Display in-progress images (slower)</label>
|
||||
<div>
|
||||
<label title="If > 0, adds thresholding to restrict values for k-diffusion samplers (0 disables)" for="threshold">Threshold:</label>
|
||||
<input value="0" type="number" id="threshold" name="threshold" step="0.1" min="0">
|
||||
<label title="Perlin: optional 0-1 value adds a percentage of perlin noise to the initial noise" for="perlin">Perlin:</label>
|
||||
<input value="0" type="number" id="perlin" name="perlin" step="0.01" min="0" max="1">
|
||||
<button type="button" id="reset-all">Reset to Defaults</button>
|
||||
</div>
|
||||
<div id="variations">
|
||||
<label
|
||||
title="If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different."
|
||||
for="variation_amount">Variation amount (0 to disable):</label>
|
||||
<input value="0" type="number" id="variation_amount" name="variation_amount" step="0.01" min="0" max="1">
|
||||
<label title="list of variations to apply, in the format `seed:weight,seed:weight,..."
|
||||
for="with_variations">With variations (seed:weight,seed:weight,...):</label>
|
||||
<input value="" type="text" id="with_variations" name="with_variations">
|
||||
</div>
|
||||
</fieldset>
|
||||
<fieldset id="initimg">
|
||||
<legend>
|
||||
<input type="checkbox" name="enable_init_image" id="enable_init_image" checked>
|
||||
<label for="enable_init_image">Enable init image</label>
|
||||
</legend>
|
||||
<div>
|
||||
<label title="Upload an image to use img2img" for="initimg">Initial image:</label>
|
||||
<input type="file" id="initimg" name="initimg" accept=".jpg, .jpeg, .png">
|
||||
<button type="button" id="remove-image">Remove Image</button>
|
||||
</div>
|
||||
<fieldset id="img2img">
|
||||
<legend>
|
||||
<input type="checkbox" name="enable_img2img" id="enable_img2img" checked>
|
||||
<label for="enable_img2img">Enable Img2Img</label>
|
||||
</legend>
|
||||
<label for="strength">Img2Img Strength:</label>
|
||||
<input value="0.75" type="number" id="strength" name="strength" step="0.01" min="0" max="1">
|
||||
<input type="checkbox" id="fit" name="fit" checked>
|
||||
<label title="Rescale image to fit within requested width and height" for="fit">Fit to width/height:</label>
|
||||
</fieldset>
|
||||
</fieldset>
|
||||
<div id="postprocess">
|
||||
<fieldset id="gfpgan">
|
||||
<legend>
|
||||
<input type="checkbox" name="enable_gfpgan" id="enable_gfpgan">
|
||||
<label for="enable_gfpgan">Enable gfpgan</label>
|
||||
</legend>
|
||||
<label title="Strength of the gfpgan (face fixing) algorithm." for="facetool_strength">GPFGAN Strength:</label>
|
||||
<input value="0.8" min="0" max="1" type="number" id="facetool_strength" name="facetool_strength" step="0.05">
|
||||
</fieldset>
|
||||
<fieldset id="upscale">
|
||||
<legend>
|
||||
<input type="checkbox" name="enable_upscale" id="enable_upscale">
|
||||
<label for="enable_upscale">Enable Upscaling</label>
|
||||
</legend>
|
||||
<label title="Upscaling to perform using ESRGAN." for="upscale_level">Upscaling Level:</label>
|
||||
<select id="upscale_level" name="upscale_level" value="">
|
||||
<option value="" selected>None</option>
|
||||
<option value="2">2x</option>
|
||||
<option value="4">4x</option>
|
||||
</select>
|
||||
<label title="Strength of the esrgan (upscaling) algorithm." for="upscale_strength">Upscale Strength:</label>
|
||||
<input value="0.75" min="0" max="1" type="number" id="upscale_strength" name="upscale_strength" step="0.05">
|
||||
</fieldset>
|
||||
</div>
|
||||
<input type="submit" id="submit" value="Generate">
|
||||
</form>
|
||||
<br>
|
||||
<section id="progress-section">
|
||||
<div id="progress-container">
|
||||
<progress id="progress-bar" value="0" max="1"></progress>
|
||||
<span id="cancel-button" title="Cancel">✖</span>
|
||||
<br>
|
||||
<img id="progress-image" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>'>
|
||||
<div id="scaling-inprocess-message">
|
||||
<i><span>Postprocessing...</span><span id="processing_cnt">1</span>/<span id="processing_total">3</span></i>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<div id="results">
|
||||
</div>
|
||||
</main>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
409
invokeai/frontend/web/static/dream_web/index.js
Normal file
409
invokeai/frontend/web/static/dream_web/index.js
Normal file
@ -0,0 +1,409 @@
|
||||
const socket = io();
|
||||
|
||||
var priorResultsLoadState = {
|
||||
page: 0,
|
||||
pages: 1,
|
||||
per_page: 10,
|
||||
total: 20,
|
||||
offset: 0, // number of items generated since last load
|
||||
loading: false,
|
||||
initialized: false,
|
||||
};
|
||||
|
||||
function loadPriorResults() {
|
||||
// Fix next page by offset
|
||||
let offsetPages =
|
||||
priorResultsLoadState.offset / priorResultsLoadState.per_page;
|
||||
priorResultsLoadState.page += offsetPages;
|
||||
priorResultsLoadState.pages += offsetPages;
|
||||
priorResultsLoadState.total += priorResultsLoadState.offset;
|
||||
priorResultsLoadState.offset = 0;
|
||||
|
||||
if (priorResultsLoadState.loading) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (priorResultsLoadState.page >= priorResultsLoadState.pages) {
|
||||
return; // Nothing more to load
|
||||
}
|
||||
|
||||
// Load
|
||||
priorResultsLoadState.loading = true;
|
||||
let url = new URL('/api/images', document.baseURI);
|
||||
url.searchParams.append(
|
||||
'page',
|
||||
priorResultsLoadState.initialized
|
||||
? priorResultsLoadState.page + 1
|
||||
: priorResultsLoadState.page
|
||||
);
|
||||
url.searchParams.append('per_page', priorResultsLoadState.per_page);
|
||||
fetch(url.href, {
|
||||
method: 'GET',
|
||||
headers: new Headers({ 'content-type': 'application/json' }),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
priorResultsLoadState.page = data.page;
|
||||
priorResultsLoadState.pages = data.pages;
|
||||
priorResultsLoadState.per_page = data.per_page;
|
||||
priorResultsLoadState.total = data.total;
|
||||
|
||||
data.items.forEach(function (dreamId, index) {
|
||||
let src = 'api/images/' + dreamId;
|
||||
fetch('/api/images/' + dreamId + '/metadata', {
|
||||
method: 'GET',
|
||||
headers: new Headers({ 'content-type': 'application/json' }),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((metadata) => {
|
||||
let seed = metadata.seed || 0; // TODO: Parse old metadata
|
||||
appendOutput(src, seed, metadata, true);
|
||||
});
|
||||
});
|
||||
|
||||
// Load until page is full
|
||||
if (!priorResultsLoadState.initialized) {
|
||||
if (document.body.scrollHeight <= window.innerHeight) {
|
||||
loadPriorResults();
|
||||
}
|
||||
}
|
||||
})
|
||||
.finally(() => {
|
||||
priorResultsLoadState.loading = false;
|
||||
priorResultsLoadState.initialized = true;
|
||||
});
|
||||
}
|
||||
|
||||
function resetForm() {
|
||||
var form = document.getElementById('generate-form');
|
||||
form.querySelector('fieldset').removeAttribute('disabled');
|
||||
}
|
||||
|
||||
function initProgress(totalSteps, showProgressImages) {
|
||||
// TODO: Progress could theoretically come from multiple jobs at the same time (in the future)
|
||||
let progressSectionEle = document.querySelector('#progress-section');
|
||||
progressSectionEle.style.display = 'initial';
|
||||
let progressEle = document.querySelector('#progress-bar');
|
||||
progressEle.setAttribute('max', totalSteps);
|
||||
|
||||
let progressImageEle = document.querySelector('#progress-image');
|
||||
progressImageEle.src = BLANK_IMAGE_URL;
|
||||
progressImageEle.style.display = showProgressImages ? 'initial' : 'none';
|
||||
}
|
||||
|
||||
function setProgress(step, totalSteps, src) {
|
||||
let progressEle = document.querySelector('#progress-bar');
|
||||
progressEle.setAttribute('value', step);
|
||||
|
||||
if (src) {
|
||||
let progressImageEle = document.querySelector('#progress-image');
|
||||
progressImageEle.src = src;
|
||||
}
|
||||
}
|
||||
|
||||
function resetProgress(hide = true) {
|
||||
if (hide) {
|
||||
let progressSectionEle = document.querySelector('#progress-section');
|
||||
progressSectionEle.style.display = 'none';
|
||||
}
|
||||
let progressEle = document.querySelector('#progress-bar');
|
||||
progressEle.setAttribute('value', 0);
|
||||
}
|
||||
|
||||
function toBase64(file) {
|
||||
return new Promise((resolve, reject) => {
|
||||
const r = new FileReader();
|
||||
r.readAsDataURL(file);
|
||||
r.onload = () => resolve(r.result);
|
||||
r.onerror = (error) => reject(error);
|
||||
});
|
||||
}
|
||||
|
||||
function ondragdream(event) {
|
||||
let dream = event.target.dataset.dream;
|
||||
event.dataTransfer.setData('dream', dream);
|
||||
}
|
||||
|
||||
function seedClick(event) {
|
||||
// Get element
|
||||
var image = event.target.closest('figure').querySelector('img');
|
||||
var dream = JSON.parse(decodeURIComponent(image.dataset.dream));
|
||||
|
||||
let form = document.querySelector('#generate-form');
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
if (k == 'initimg') {
|
||||
continue;
|
||||
}
|
||||
let formElem = form.querySelector(`*[name=${k}]`);
|
||||
formElem.value = dream[k] !== undefined ? dream[k] : formElem.defaultValue;
|
||||
}
|
||||
|
||||
document.querySelector('#seed').value = dream.seed;
|
||||
document.querySelector('#iterations').value = 1; // Reset to 1 iteration since we clicked a single image (not a full job)
|
||||
|
||||
// NOTE: leaving this manual for the user for now - it was very confusing with this behavior
|
||||
// document.querySelector("#with_variations").value = variations || '';
|
||||
// if (document.querySelector("#variation_amount").value <= 0) {
|
||||
// document.querySelector("#variation_amount").value = 0.2;
|
||||
// }
|
||||
|
||||
saveFields(document.querySelector('#generate-form'));
|
||||
}
|
||||
|
||||
function appendOutput(src, seed, config, toEnd = false) {
|
||||
let outputNode = document.createElement('figure');
|
||||
let altText = seed.toString() + ' | ' + config.prompt;
|
||||
|
||||
// img needs width and height for lazy loading to work
|
||||
// TODO: store the full config in a data attribute on the image?
|
||||
const figureContents = `
|
||||
<a href="${src}" target="_blank">
|
||||
<img src="${src}"
|
||||
alt="${altText}"
|
||||
title="${altText}"
|
||||
loading="lazy"
|
||||
width="256"
|
||||
height="256"
|
||||
draggable="true"
|
||||
ondragstart="ondragdream(event, this)"
|
||||
data-dream="${encodeURIComponent(JSON.stringify(config))}"
|
||||
data-dreamId="${encodeURIComponent(config.dreamId)}">
|
||||
</a>
|
||||
<figcaption onclick="seedClick(event, this)">${seed}</figcaption>
|
||||
`;
|
||||
|
||||
outputNode.innerHTML = figureContents;
|
||||
|
||||
if (toEnd) {
|
||||
document.querySelector('#results').append(outputNode);
|
||||
} else {
|
||||
document.querySelector('#results').prepend(outputNode);
|
||||
}
|
||||
document.querySelector('#no-results-message')?.remove();
|
||||
}
|
||||
|
||||
function saveFields(form) {
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
if (typeof v !== 'object') {
|
||||
// Don't save 'file' type
|
||||
localStorage.setItem(k, v);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function loadFields(form) {
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
const item = localStorage.getItem(k);
|
||||
if (item != null) {
|
||||
form.querySelector(`*[name=${k}]`).value = item;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function clearFields(form) {
|
||||
localStorage.clear();
|
||||
let prompt = form.prompt.value;
|
||||
form.reset();
|
||||
form.prompt.value = prompt;
|
||||
}
|
||||
|
||||
const BLANK_IMAGE_URL =
|
||||
'data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>';
|
||||
async function generateSubmit(form) {
|
||||
// Convert file data to base64
|
||||
// TODO: Should probably uplaod files with formdata or something, and store them in the backend?
|
||||
let formData = Object.fromEntries(new FormData(form));
|
||||
if (!formData.enable_generate && !formData.enable_init_image) {
|
||||
gen_label = document.querySelector('label[for=enable_generate]').innerHTML;
|
||||
initimg_label = document.querySelector(
|
||||
'label[for=enable_init_image]'
|
||||
).innerHTML;
|
||||
alert(`Error: one of "${gen_label}" or "${initimg_label}" must be set`);
|
||||
}
|
||||
|
||||
formData.initimg_name = formData.initimg.name;
|
||||
formData.initimg =
|
||||
formData.initimg.name !== '' ? await toBase64(formData.initimg) : null;
|
||||
|
||||
// Evaluate all checkboxes
|
||||
let checkboxes = form.querySelectorAll('input[type=checkbox]');
|
||||
checkboxes.forEach(function (checkbox) {
|
||||
if (checkbox.checked) {
|
||||
formData[checkbox.name] = 'true';
|
||||
}
|
||||
});
|
||||
|
||||
let strength = formData.strength;
|
||||
let totalSteps = formData.initimg
|
||||
? Math.floor(strength * formData.steps)
|
||||
: formData.steps;
|
||||
let showProgressImages = formData.progress_images;
|
||||
|
||||
// Set enabling flags
|
||||
|
||||
// Initialize the progress bar
|
||||
initProgress(totalSteps, showProgressImages);
|
||||
|
||||
// POST, use response to listen for events
|
||||
fetch(form.action, {
|
||||
method: form.method,
|
||||
headers: new Headers({ 'content-type': 'application/json' }),
|
||||
body: JSON.stringify(formData),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
var jobId = data.jobId;
|
||||
socket.emit('join_room', { room: jobId });
|
||||
});
|
||||
|
||||
form.querySelector('fieldset').setAttribute('disabled', '');
|
||||
}
|
||||
|
||||
function fieldSetEnableChecked(event) {
|
||||
cb = event.target;
|
||||
fields = cb.closest('fieldset');
|
||||
fields.disabled = !cb.checked;
|
||||
}
|
||||
|
||||
// Socket listeners
|
||||
socket.on('job_started', (data) => {});
|
||||
|
||||
socket.on('dream_result', (data) => {
|
||||
var jobId = data.jobId;
|
||||
var dreamId = data.dreamId;
|
||||
var dreamRequest = data.dreamRequest;
|
||||
var src = 'api/images/' + dreamId;
|
||||
|
||||
priorResultsLoadState.offset += 1;
|
||||
appendOutput(src, dreamRequest.seed, dreamRequest);
|
||||
|
||||
resetProgress(false);
|
||||
});
|
||||
|
||||
socket.on('dream_progress', (data) => {
|
||||
// TODO: it'd be nice if we could get a seed reported here, but the generator would need to be updated
|
||||
var step = data.step;
|
||||
var totalSteps = data.totalSteps;
|
||||
var jobId = data.jobId;
|
||||
var dreamId = data.dreamId;
|
||||
|
||||
var progressType = data.progressType;
|
||||
if (progressType === 'GENERATION') {
|
||||
var src = data.hasProgressImage
|
||||
? 'api/intermediates/' + dreamId + '/' + step
|
||||
: null;
|
||||
setProgress(step, totalSteps, src);
|
||||
} else if (progressType === 'UPSCALING_STARTED') {
|
||||
// step and totalSteps are used for upscale count on this message
|
||||
document.getElementById('processing_cnt').textContent = step;
|
||||
document.getElementById('processing_total').textContent = totalSteps;
|
||||
document.getElementById('scaling-inprocess-message').style.display =
|
||||
'block';
|
||||
} else if (progressType == 'UPSCALING_DONE') {
|
||||
document.getElementById('scaling-inprocess-message').style.display = 'none';
|
||||
}
|
||||
});
|
||||
|
||||
socket.on('job_canceled', (data) => {
|
||||
resetForm();
|
||||
resetProgress();
|
||||
});
|
||||
|
||||
socket.on('job_done', (data) => {
|
||||
jobId = data.jobId;
|
||||
socket.emit('leave_room', { room: jobId });
|
||||
|
||||
resetForm();
|
||||
resetProgress();
|
||||
});
|
||||
|
||||
window.onload = async () => {
|
||||
document.querySelector('#prompt').addEventListener('keydown', (e) => {
|
||||
if (e.key === 'Enter' && !e.shiftKey) {
|
||||
const form = e.target.form;
|
||||
generateSubmit(form);
|
||||
}
|
||||
});
|
||||
document.querySelector('#generate-form').addEventListener('submit', (e) => {
|
||||
e.preventDefault();
|
||||
const form = e.target;
|
||||
|
||||
generateSubmit(form);
|
||||
});
|
||||
document.querySelector('#generate-form').addEventListener('change', (e) => {
|
||||
saveFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#reset-seed').addEventListener('click', (e) => {
|
||||
document.querySelector('#seed').value = 0;
|
||||
saveFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#reset-all').addEventListener('click', (e) => {
|
||||
clearFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#remove-image').addEventListener('click', (e) => {
|
||||
initimg.value = null;
|
||||
});
|
||||
loadFields(document.querySelector('#generate-form'));
|
||||
|
||||
document.querySelector('#cancel-button').addEventListener('click', () => {
|
||||
fetch('/api/cancel').catch((e) => {
|
||||
console.error(e);
|
||||
});
|
||||
});
|
||||
document.documentElement.addEventListener('keydown', (e) => {
|
||||
if (e.key === 'Escape')
|
||||
fetch('/api/cancel').catch((err) => {
|
||||
console.error(err);
|
||||
});
|
||||
});
|
||||
|
||||
if (!config.gfpgan_model_exists) {
|
||||
document.querySelector('#gfpgan').style.display = 'none';
|
||||
}
|
||||
|
||||
window.addEventListener('scroll', () => {
|
||||
if (window.innerHeight + window.pageYOffset >= document.body.offsetHeight) {
|
||||
loadPriorResults();
|
||||
}
|
||||
});
|
||||
|
||||
// Enable/disable forms by checkboxes
|
||||
document
|
||||
.querySelectorAll('legend > input[type=checkbox]')
|
||||
.forEach(function (cb) {
|
||||
cb.addEventListener('change', fieldSetEnableChecked);
|
||||
fieldSetEnableChecked({ target: cb });
|
||||
});
|
||||
|
||||
// Load some of the previous results
|
||||
loadPriorResults();
|
||||
|
||||
// Image drop/upload WIP
|
||||
/*
|
||||
let drop = document.getElementById('dropper');
|
||||
function ondrop(event) {
|
||||
let dreamData = event.dataTransfer.getData('dream');
|
||||
if (dreamData) {
|
||||
var dream = JSON.parse(decodeURIComponent(dreamData));
|
||||
alert(dream.dreamId);
|
||||
}
|
||||
};
|
||||
|
||||
function ondragenter(event) {
|
||||
event.preventDefault();
|
||||
};
|
||||
|
||||
function ondragover(event) {
|
||||
event.preventDefault();
|
||||
};
|
||||
|
||||
function ondragleave(event) {
|
||||
|
||||
}
|
||||
|
||||
drop.addEventListener('drop', ondrop);
|
||||
drop.addEventListener('dragenter', ondragenter);
|
||||
drop.addEventListener('dragover', ondragover);
|
||||
drop.addEventListener('dragleave', ondragleave);
|
||||
*/
|
||||
};
|
||||
246
invokeai/frontend/web/static/dream_web/test.html
Normal file
246
invokeai/frontend/web/static/dream_web/test.html
Normal file
@ -0,0 +1,246 @@
|
||||
<html lang="en">
|
||||
<head>
|
||||
<title>InvokeAI Test</title>
|
||||
<meta charset="utf-8" />
|
||||
<link rel="icon" type="image/x-icon" href="static/dream_web/favicon.ico" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
|
||||
<!--<script src="config.js"></script>-->
|
||||
<script
|
||||
src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/4.0.1/socket.io.js"
|
||||
integrity="sha512-q/dWJ3kcmjBLU4Qc47E4A9kTB4m3wuTY7vkFJDTZKjTs8jhyGQnaUrxa0Ytd0ssMZhbNua9hE+E7Qv1j+DyZwA=="
|
||||
crossorigin="anonymous"
|
||||
></script>
|
||||
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/fslightbox/3.0.9/index.js"></script>
|
||||
|
||||
<style>
|
||||
body {
|
||||
background: #334;
|
||||
}
|
||||
|
||||
#gallery > a.image {
|
||||
display: inline-block;
|
||||
width: 128px;
|
||||
height: 128px;
|
||||
margin: 8px;
|
||||
background-size: contain;
|
||||
background-repeat: no-repeat;
|
||||
background-position: center;
|
||||
}
|
||||
|
||||
.results {
|
||||
border-color: green;
|
||||
border-width: 1px;
|
||||
border-style: solid;
|
||||
}
|
||||
|
||||
.intermediates {
|
||||
border-color: yellow;
|
||||
border-width: 1px;
|
||||
border-style: solid;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<button onclick="dostuff();">Test Invoke</button>
|
||||
<div id="gallery"></div>
|
||||
<div id="textlog">
|
||||
<textarea id="log" rows="10" cols="60" autofocus> </textarea>
|
||||
</div>
|
||||
|
||||
<script type="text/javascript">
|
||||
const socket_url = `ws://${window.location.host}`;
|
||||
const socket = io(socket_url, {
|
||||
path: '/ws/socket.io',
|
||||
});
|
||||
socket.on('connect', (data) => {
|
||||
//socket.emit('subscribe', { 'session': 'WcBtYATwT92Mrb9zLgeyNw==' });
|
||||
});
|
||||
|
||||
function addGalleryImage(src, className) {
|
||||
let gallery = document.getElementById('gallery');
|
||||
let div = document.createElement('a');
|
||||
div.href = src;
|
||||
div.setAttribute('data-fslightbox', '');
|
||||
div.classList.add('image');
|
||||
div.classList.add(className);
|
||||
div.style.backgroundImage = `url('${src}')`;
|
||||
gallery.appendChild(div);
|
||||
|
||||
refreshFsLightbox();
|
||||
}
|
||||
|
||||
function log(event, data) {
|
||||
document.getElementById('log').value += `${event} => ${JSON.stringify(
|
||||
data
|
||||
)}\n`;
|
||||
|
||||
if (data.result?.image?.image_type) {
|
||||
addGalleryImage(
|
||||
`/api/v1/images/${data.result.image.image_type}/${data.result.image.image_name}`,
|
||||
data.result.image.image_type
|
||||
);
|
||||
}
|
||||
if (data.result?.mask?.image_type) {
|
||||
addGalleryImage(
|
||||
`/api/v1/images/${data.result.mask.image_type}/${data.result.mask.image_name}`,
|
||||
data.result.mask.image_type
|
||||
);
|
||||
}
|
||||
|
||||
console.log(`${event} => ${JSON.stringify(data)}`);
|
||||
}
|
||||
|
||||
socket.on('generator_progress', (data) =>
|
||||
log('generator_progress', data)
|
||||
);
|
||||
socket.on('invocation_complete', (data) =>
|
||||
log('invocation_complete', data)
|
||||
);
|
||||
socket.on('invocation_started', (data) =>
|
||||
log('invocation_started', data)
|
||||
);
|
||||
socket.on('session_complete', (data) => {
|
||||
log('session_complete', data);
|
||||
|
||||
// NOTE: you may not want to unsubscribe if you plan to continue using this session,
|
||||
// just make sure you unsubscribe eventually
|
||||
socket.emit('unsubscribe', { session: data.session_id });
|
||||
});
|
||||
|
||||
function dostuff() {
|
||||
let prompt =
|
||||
'hyper detailed 4k cryengine 3D render of a cat in a dune buggy, trending on artstation, soft atmospheric lighting, volumetric lighting, cinematic still, golden hour, crepuscular rays, smooth [grainy]';
|
||||
let strength = 0.95;
|
||||
let sampler = 'keuler_a';
|
||||
let steps = 50;
|
||||
let seed = -1;
|
||||
|
||||
// Start building nodes
|
||||
var id = 1;
|
||||
var initialNode = {
|
||||
id: id.toString(),
|
||||
type: 'txt2img',
|
||||
prompt: prompt,
|
||||
model: 'stable-diffusion-1-5',
|
||||
sampler: sampler,
|
||||
steps: steps,
|
||||
seed: seed,
|
||||
};
|
||||
id++;
|
||||
var i2iNode = {
|
||||
id: id.toString(),
|
||||
type: 'img2img',
|
||||
prompt: prompt,
|
||||
model: 'stable-diffusion-1-5',
|
||||
sampler: sampler,
|
||||
steps: steps,
|
||||
seed: Math.floor(Math.random() * 10000),
|
||||
};
|
||||
id++;
|
||||
var upscaleNode = { id: id.toString(), type: 'show_image' };
|
||||
id++;
|
||||
|
||||
nodes = {};
|
||||
nodes[initialNode.id] = initialNode;
|
||||
nodes[i2iNode.id] = i2iNode;
|
||||
nodes[upscaleNode.id] = upscaleNode;
|
||||
links = [
|
||||
{
|
||||
source: { node_id: initialNode.id, field: 'image' },
|
||||
destination: { node_id: i2iNode.id, field: 'image' },
|
||||
},
|
||||
{
|
||||
source: { node_id: i2iNode.id, field: 'image' },
|
||||
destination: { node_id: upscaleNode.id, field: 'image' },
|
||||
},
|
||||
];
|
||||
// expandSize = 128;
|
||||
// for (var i = 0; i < 6; ++i) {
|
||||
// var i_seed = (seed == -1) ? -1 : seed + i + 1;
|
||||
// var startid = id - 1;
|
||||
// var offset = (i < 3) ? -expandSize : (3 * expandSize) + ((i - 3 + 1) * expandSize);
|
||||
// nodes.push({"id": id.toString(), "type": "crop", "x": offset, "y": 0, "width": 512, "height": 512});
|
||||
// let id_gen = id;
|
||||
// links.push({"from_node": {"id": startid.toString(), "field": "image"},"to_node": {"id": id_gen.toString(),"field": "image"}});
|
||||
// id++;
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "tomask"});
|
||||
// let id_mask = id;
|
||||
// links.push({"from_node": {"id": id_gen.toString(), "field": "image"},"to_node": {"id": id_mask.toString(),"field": "image"}});
|
||||
// id++;
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "blur", "radius": 32});
|
||||
// let id_mask_blur = id;
|
||||
// links.push({"from_node": {"id": id_mask.toString(), "field": "mask"},"to_node": {"id": id_mask_blur.toString(),"field": "image"}});
|
||||
// id++
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "ilerp", "min": 128, "max": 255});
|
||||
// let id_ilerp = id;
|
||||
// links.push({"from_node": {"id": id_mask_blur.toString(), "field": "image"},"to_node": {"id": id_ilerp.toString(),"field": "image"}});
|
||||
// id++
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "cv_inpaint"});
|
||||
// let id_cv_inpaint = id;
|
||||
// links.push({"from_node": {"id": id_gen.toString(), "field": "image"},"to_node": {"id": id_cv_inpaint.toString(),"field": "image"}});
|
||||
// links.push({"from_node": {"id": id_mask.toString(), "field": "mask"},"to_node": {"id": id_cv_inpaint.toString(),"field": "mask"}});
|
||||
// id++;
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "img2img", "prompt": prompt, "strength": strength, "sampler": sampler, "steps": steps, "seed": i_seed, "color_match": true, "inpaint_replace": inpaint_replace});
|
||||
// let id_i2i = id;
|
||||
// links.push({"from_node": {"id": id_cv_inpaint.toString(), "field": "image"},"to_node": {"id": id_i2i.toString(),"field": "image"}});
|
||||
// links.push({"from_node": {"id": id_ilerp.toString(), "field": "image"},"to_node": {"id": id_i2i.toString(),"field": "mask"}});
|
||||
// id++;
|
||||
|
||||
// nodes.push({"id": id.toString(), "type": "paste", "x": offset, "y": 0});
|
||||
// let id_paste = id;
|
||||
// links.push({"from_node": {"id": startid.toString(), "field": "image"},"to_node": {"id": id_paste.toString(),"field": "base_image"}});
|
||||
// links.push({"from_node": {"id": id_i2i.toString(), "field": "image"},"to_node": {"id": id_paste.toString(),"field": "image"}});
|
||||
// links.push({"from_node": {"id": id_ilerp.toString(), "field": "image"},"to_node": {"id": id_paste.toString(),"field": "mask"}});
|
||||
// id++;
|
||||
// }
|
||||
|
||||
var graph = {
|
||||
nodes: nodes,
|
||||
edges: links,
|
||||
};
|
||||
|
||||
// var defaultGraph = {"nodes": [
|
||||
// {"id": "1", "type": "txt2img", "prompt": prompt},
|
||||
// {"id": "2", "type": "crop", "x": -256, "y": 128, "width": 512, "height": 512},
|
||||
// {"id": "3", "type": "tomask"},
|
||||
// {"id": "4", "type": "cv_inpaint"},
|
||||
// {"id": "5", "type": "img2img", "prompt": prompt, "strength": 0.9},
|
||||
// {"id": "6", "type": "paste", "x": -256, "y": 128},
|
||||
// ],
|
||||
// "links": [
|
||||
// {"from_node": {"id": "1","field": "image"},"to_node": {"id": "2","field": "image"}},
|
||||
// {"from_node": {"id": "2","field": "image"},"to_node": {"id": "3","field": "image"}},
|
||||
// {"from_node": {"id": "2","field": "image"},"to_node": {"id": "4","field": "image"}},
|
||||
// {"from_node": {"id": "3","field": "mask"},"to_node": {"id": "4","field": "mask"}},
|
||||
// {"from_node": {"id": "4","field": "image"},"to_node": {"id": "5","field": "image"}},
|
||||
// {"from_node": {"id": "3","field": "mask"},"to_node": {"id": "5","field": "mask"}},
|
||||
// {"from_node": {"id": "1","field": "image"},"to_node": {"id": "6","field": "base_image"}},
|
||||
// {"from_node": {"id": "5","field": "image"},"to_node": {"id": "6","field": "image"}}
|
||||
// ]};
|
||||
fetch('/api/v1/sessions/', {
|
||||
method: 'POST',
|
||||
headers: new Headers({ 'content-type': 'application/json' }),
|
||||
body: JSON.stringify(graph),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
sessionId = data.id;
|
||||
socket.emit('subscribe', { session: sessionId });
|
||||
fetch(`/api/v1/sessions/${sessionId}/invoke?all=true`, {
|
||||
method: 'PUT',
|
||||
headers: new Headers({ 'content-type': 'application/json' }),
|
||||
body: '',
|
||||
});
|
||||
});
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
BIN
invokeai/frontend/web/static/legacy_web/favicon.ico
Normal file
BIN
invokeai/frontend/web/static/legacy_web/favicon.ico
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.1 KiB |
152
invokeai/frontend/web/static/legacy_web/index.css
Normal file
152
invokeai/frontend/web/static/legacy_web/index.css
Normal file
@ -0,0 +1,152 @@
|
||||
* {
|
||||
font-family: 'Arial';
|
||||
font-size: 100%;
|
||||
}
|
||||
body {
|
||||
font-size: 1em;
|
||||
}
|
||||
textarea {
|
||||
font-size: 0.95em;
|
||||
}
|
||||
header, form, #progress-section {
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
max-width: 1024px;
|
||||
text-align: center;
|
||||
}
|
||||
fieldset {
|
||||
border: none;
|
||||
line-height: 2.2em;
|
||||
}
|
||||
select, input {
|
||||
margin-right: 10px;
|
||||
padding: 2px;
|
||||
}
|
||||
input[type=submit] {
|
||||
background-color: #666;
|
||||
color: white;
|
||||
}
|
||||
input[type=checkbox] {
|
||||
margin-right: 0px;
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
vertical-align: middle;
|
||||
}
|
||||
input#seed {
|
||||
margin-right: 0px;
|
||||
}
|
||||
div {
|
||||
padding: 10px 10px 10px 10px;
|
||||
}
|
||||
header {
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
header h1 {
|
||||
margin-bottom: 0;
|
||||
font-size: 2em;
|
||||
}
|
||||
#search-box {
|
||||
display: flex;
|
||||
}
|
||||
#scaling-inprocess-message {
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
display: none;
|
||||
}
|
||||
#prompt {
|
||||
flex-grow: 1;
|
||||
padding: 5px 10px 5px 10px;
|
||||
border: 1px solid #999;
|
||||
outline: none;
|
||||
}
|
||||
#submit {
|
||||
padding: 5px 10px 5px 10px;
|
||||
border: 1px solid #999;
|
||||
}
|
||||
#reset-all, #remove-image {
|
||||
margin-top: 12px;
|
||||
font-size: 0.8em;
|
||||
background-color: pink;
|
||||
border: 1px solid #999;
|
||||
border-radius: 4px;
|
||||
}
|
||||
#results {
|
||||
text-align: center;
|
||||
margin: auto;
|
||||
padding-top: 10px;
|
||||
}
|
||||
#results figure {
|
||||
display: inline-block;
|
||||
margin: 10px;
|
||||
}
|
||||
#results figcaption {
|
||||
font-size: 0.8em;
|
||||
padding: 3px;
|
||||
color: #888;
|
||||
cursor: pointer;
|
||||
}
|
||||
#results img {
|
||||
border-radius: 5px;
|
||||
object-fit: cover;
|
||||
}
|
||||
#fieldset-config {
|
||||
line-height:2em;
|
||||
background-color: #F0F0F0;
|
||||
}
|
||||
input[type="number"] {
|
||||
width: 60px;
|
||||
}
|
||||
#seed {
|
||||
width: 150px;
|
||||
}
|
||||
button#reset-seed {
|
||||
font-size: 1.7em;
|
||||
background: #efefef;
|
||||
border: 1px solid #999;
|
||||
border-radius: 4px;
|
||||
line-height: 0.8;
|
||||
margin: 0 10px 0 0;
|
||||
padding: 0 5px 3px;
|
||||
vertical-align: middle;
|
||||
}
|
||||
label {
|
||||
white-space: nowrap;
|
||||
}
|
||||
#progress-section {
|
||||
display: none;
|
||||
}
|
||||
#progress-image {
|
||||
width: 30vh;
|
||||
height: 30vh;
|
||||
}
|
||||
#cancel-button {
|
||||
cursor: pointer;
|
||||
color: red;
|
||||
}
|
||||
#basic-parameters {
|
||||
background-color: #EEEEEE;
|
||||
}
|
||||
#txt2img {
|
||||
background-color: #DCDCDC;
|
||||
}
|
||||
#variations {
|
||||
background-color: #EEEEEE;
|
||||
}
|
||||
#img2img {
|
||||
background-color: #DCDCDC;
|
||||
}
|
||||
#gfpgan {
|
||||
background-color: #EEEEEE;
|
||||
}
|
||||
#progress-section {
|
||||
background-color: #F5F5F5;
|
||||
}
|
||||
.section-header {
|
||||
text-align: left;
|
||||
font-weight: bold;
|
||||
padding: 0 0 0 0;
|
||||
}
|
||||
#no-results-message:not(:only-child) {
|
||||
display: none;
|
||||
}
|
||||
|
||||
137
invokeai/frontend/web/static/legacy_web/index.html
Normal file
137
invokeai/frontend/web/static/legacy_web/index.html
Normal file
@ -0,0 +1,137 @@
|
||||
<html lang="en">
|
||||
<head>
|
||||
<title>Stable Diffusion Dream Server</title>
|
||||
<meta charset="utf-8">
|
||||
<link rel="icon" type="image/x-icon" href="static/legacy_web/favicon.ico" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<link rel="stylesheet" href="static/legacy_web/index.css">
|
||||
<script src="config.js"></script>
|
||||
<script src="static/legacy_web/index.js"></script>
|
||||
</head>
|
||||
<body>
|
||||
<header>
|
||||
<h1>Stable Diffusion Dream Server</h1>
|
||||
<div id="about">
|
||||
For news and support for this web service, visit our <a href="http://github.com/lstein/stable-diffusion">GitHub site</a>
|
||||
</div>
|
||||
</header>
|
||||
|
||||
<main>
|
||||
<form id="generate-form" method="post" action="#">
|
||||
<fieldset id="txt2img">
|
||||
<div id="search-box">
|
||||
<textarea rows="3" id="prompt" name="prompt"></textarea>
|
||||
<input type="submit" id="submit" value="Generate">
|
||||
</div>
|
||||
</fieldset>
|
||||
<fieldset id="fieldset-config">
|
||||
<div class="section-header">Basic options</div>
|
||||
<label for="iterations">Images to generate:</label>
|
||||
<input value="1" type="number" id="iterations" name="iterations" size="4">
|
||||
<label for="steps">Steps:</label>
|
||||
<input value="50" type="number" id="steps" name="steps">
|
||||
<label for="cfg_scale">Cfg Scale:</label>
|
||||
<input value="7.5" type="number" id="cfg_scale" name="cfg_scale" step="any">
|
||||
<label for="sampler_name">Sampler:</label>
|
||||
<select id="sampler_name" name="sampler_name" value="k_lms">
|
||||
<option value="ddim">DDIM</option>
|
||||
<option value="plms">PLMS</option>
|
||||
<option value="k_lms" selected>KLMS</option>
|
||||
<option value="k_dpm_2">KDPM_2</option>
|
||||
<option value="k_dpm_2_a">KDPM_2A</option>
|
||||
<option value="k_dpmpp_2">KDPMPP_2</option>
|
||||
<option value="k_dpmpp_2_a">KDPMPP_2A</option>
|
||||
<option value="k_euler">KEULER</option>
|
||||
<option value="k_euler_a">KEULER_A</option>
|
||||
<option value="k_heun">KHEUN</option>
|
||||
</select>
|
||||
<input type="checkbox" name="seamless" id="seamless">
|
||||
<label for="seamless">Seamless circular tiling</label>
|
||||
<br>
|
||||
<label title="Set to multiple of 64" for="width">Width:</label>
|
||||
<select id="width" name="width" value="512">
|
||||
<option value="64">64</option> <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>
|
||||
</select>
|
||||
<label title="Set to multiple of 64" for="height">Height:</label>
|
||||
<select id="height" name="height" value="512">
|
||||
<option value="64">64</option> <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>
|
||||
</select>
|
||||
<label title="Set to -1 for random seed" for="seed">Seed:</label>
|
||||
<input value="-1" type="number" id="seed" name="seed">
|
||||
<button type="button" id="reset-seed">↺</button>
|
||||
<input type="checkbox" name="progress_images" id="progress_images">
|
||||
<label for="progress_images">Display in-progress images (slower)</label>
|
||||
<div>
|
||||
<label title="If > 0, adds thresholding to restrict values for k-diffusion samplers (0 disables)" for="threshold">Threshold:</label>
|
||||
<input value="0" type="number" id="threshold" name="threshold" step="0.1" min="0">
|
||||
<label title="Perlin: optional 0-1 value adds a percentage of perlin noise to the initial noise" for="perlin">Perlin:</label>
|
||||
<input value="0" type="number" id="perlin" name="perlin" step="0.01" min="0" max="1">
|
||||
<button type="button" id="reset-all">Reset to Defaults</button>
|
||||
</div>
|
||||
<span id="variations">
|
||||
<label title="If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different." for="variation_amount">Variation amount (0 to disable):</label>
|
||||
<input value="0" type="number" id="variation_amount" name="variation_amount" step="0.01" min="0" max="1">
|
||||
<label title="list of variations to apply, in the format `seed:weight,seed:weight,..." for="with_variations">With variations (seed:weight,seed:weight,...):</label>
|
||||
<input value="" type="text" id="with_variations" name="with_variations">
|
||||
</span>
|
||||
</fieldset>
|
||||
<fieldset id="img2img">
|
||||
<div class="section-header">Image-to-image options</div>
|
||||
<label title="Upload an image to use img2img" for="initimg">Initial image:</label>
|
||||
<input type="file" id="initimg" name="initimg" accept=".jpg, .jpeg, .png">
|
||||
<button type="button" id="remove-image">Remove Image</button>
|
||||
<br>
|
||||
<label for="strength">Img2Img Strength:</label>
|
||||
<input value="0.75" type="number" id="strength" name="strength" step="0.01" min="0" max="1">
|
||||
<input type="checkbox" id="fit" name="fit" checked>
|
||||
<label title="Rescale image to fit within requested width and height" for="fit">Fit to width/height</label>
|
||||
</fieldset>
|
||||
<fieldset id="gfpgan">
|
||||
<div class="section-header">Post-processing options</div>
|
||||
<label title="Strength of the gfpgan (face fixing) algorithm." for="facetool_strength">GPFGAN Strength (0 to disable):</label>
|
||||
<input value="0.0" min="0" max="1" type="number" id="facetool_strength" name="facetool_strength" step="0.1">
|
||||
<label title="Upscaling to perform using ESRGAN." for="upscale_level">Upscaling Level</label>
|
||||
<select id="upscale_level" name="upscale_level" value="">
|
||||
<option value="" selected>None</option>
|
||||
<option value="2">2x</option>
|
||||
<option value="4">4x</option>
|
||||
</select>
|
||||
<label title="Strength of the esrgan (upscaling) algorithm." for="upscale_strength">Upscale Strength:</label>
|
||||
<input value="0.75" min="0" max="1" type="number" id="upscale_strength" name="upscale_strength" step="0.05">
|
||||
</fieldset>
|
||||
</form>
|
||||
<br>
|
||||
<section id="progress-section">
|
||||
<div id="progress-container">
|
||||
<progress id="progress-bar" value="0" max="1"></progress>
|
||||
<span id="cancel-button" title="Cancel">✖</span>
|
||||
<br>
|
||||
<img id="progress-image" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>'>
|
||||
<div id="scaling-inprocess-message">
|
||||
<i><span>Postprocessing...</span><span id="processing_cnt">1/3</span></i>
|
||||
</div>
|
||||
</span>
|
||||
</section>
|
||||
|
||||
<div id="results">
|
||||
<div id="no-results-message">
|
||||
<i><p>No results...</p></i>
|
||||
</div>
|
||||
</div>
|
||||
</main>
|
||||
</body>
|
||||
</html>
|
||||
234
invokeai/frontend/web/static/legacy_web/index.js
Normal file
234
invokeai/frontend/web/static/legacy_web/index.js
Normal file
@ -0,0 +1,234 @@
|
||||
function toBase64(file) {
|
||||
return new Promise((resolve, reject) => {
|
||||
const r = new FileReader();
|
||||
r.readAsDataURL(file);
|
||||
r.onload = () => resolve(r.result);
|
||||
r.onerror = (error) => reject(error);
|
||||
});
|
||||
}
|
||||
|
||||
function appendOutput(src, seed, config) {
|
||||
let outputNode = document.createElement('figure');
|
||||
|
||||
let variations = config.with_variations;
|
||||
if (config.variation_amount > 0) {
|
||||
variations =
|
||||
(variations ? variations + ',' : '') +
|
||||
seed +
|
||||
':' +
|
||||
config.variation_amount;
|
||||
}
|
||||
let baseseed =
|
||||
config.with_variations || config.variation_amount > 0 ? config.seed : seed;
|
||||
let altText =
|
||||
baseseed + ' | ' + (variations ? variations + ' | ' : '') + config.prompt;
|
||||
|
||||
// img needs width and height for lazy loading to work
|
||||
const figureContents = `
|
||||
<a href="${src}" target="_blank">
|
||||
<img src="${src}"
|
||||
alt="${altText}"
|
||||
title="${altText}"
|
||||
loading="lazy"
|
||||
width="256"
|
||||
height="256">
|
||||
</a>
|
||||
<figcaption>${seed}</figcaption>
|
||||
`;
|
||||
|
||||
outputNode.innerHTML = figureContents;
|
||||
let figcaption = outputNode.querySelector('figcaption');
|
||||
|
||||
// Reload image config
|
||||
figcaption.addEventListener('click', () => {
|
||||
let form = document.querySelector('#generate-form');
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
if (k == 'initimg') {
|
||||
continue;
|
||||
}
|
||||
form.querySelector(`*[name=${k}]`).value = config[k];
|
||||
}
|
||||
|
||||
document.querySelector('#seed').value = baseseed;
|
||||
document.querySelector('#with_variations').value = variations || '';
|
||||
if (document.querySelector('#variation_amount').value <= 0) {
|
||||
document.querySelector('#variation_amount').value = 0.2;
|
||||
}
|
||||
|
||||
saveFields(document.querySelector('#generate-form'));
|
||||
});
|
||||
|
||||
document.querySelector('#results').prepend(outputNode);
|
||||
}
|
||||
|
||||
function saveFields(form) {
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
if (typeof v !== 'object') {
|
||||
// Don't save 'file' type
|
||||
localStorage.setItem(k, v);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function loadFields(form) {
|
||||
for (const [k, v] of new FormData(form)) {
|
||||
const item = localStorage.getItem(k);
|
||||
if (item != null) {
|
||||
form.querySelector(`*[name=${k}]`).value = item;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function clearFields(form) {
|
||||
localStorage.clear();
|
||||
let prompt = form.prompt.value;
|
||||
form.reset();
|
||||
form.prompt.value = prompt;
|
||||
}
|
||||
|
||||
const BLANK_IMAGE_URL =
|
||||
'data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>';
|
||||
async function generateSubmit(form) {
|
||||
const prompt = document.querySelector('#prompt').value;
|
||||
|
||||
// Convert file data to base64
|
||||
let formData = Object.fromEntries(new FormData(form));
|
||||
formData.initimg_name = formData.initimg.name;
|
||||
formData.initimg =
|
||||
formData.initimg.name !== '' ? await toBase64(formData.initimg) : null;
|
||||
|
||||
let strength = formData.strength;
|
||||
let totalSteps = formData.initimg
|
||||
? Math.floor(strength * formData.steps)
|
||||
: formData.steps;
|
||||
|
||||
let progressSectionEle = document.querySelector('#progress-section');
|
||||
progressSectionEle.style.display = 'initial';
|
||||
let progressEle = document.querySelector('#progress-bar');
|
||||
progressEle.setAttribute('max', totalSteps);
|
||||
let progressImageEle = document.querySelector('#progress-image');
|
||||
progressImageEle.src = BLANK_IMAGE_URL;
|
||||
|
||||
progressImageEle.style.display = {}.hasOwnProperty.call(
|
||||
formData,
|
||||
'progress_images'
|
||||
)
|
||||
? 'initial'
|
||||
: 'none';
|
||||
|
||||
// Post as JSON, using Fetch streaming to get results
|
||||
fetch(form.action, {
|
||||
method: form.method,
|
||||
body: JSON.stringify(formData),
|
||||
}).then(async (response) => {
|
||||
const reader = response.body.getReader();
|
||||
|
||||
let noOutputs = true;
|
||||
while (true) {
|
||||
let { value, done } = await reader.read();
|
||||
value = new TextDecoder().decode(value);
|
||||
if (done) {
|
||||
progressSectionEle.style.display = 'none';
|
||||
break;
|
||||
}
|
||||
|
||||
for (let event of value.split('\n').filter((e) => e !== '')) {
|
||||
const data = JSON.parse(event);
|
||||
|
||||
if (data.event === 'result') {
|
||||
noOutputs = false;
|
||||
appendOutput(data.url, data.seed, data.config);
|
||||
progressEle.setAttribute('value', 0);
|
||||
progressEle.setAttribute('max', totalSteps);
|
||||
} else if (data.event === 'upscaling-started') {
|
||||
document.getElementById('processing_cnt').textContent =
|
||||
data.processed_file_cnt;
|
||||
document.getElementById('scaling-inprocess-message').style.display =
|
||||
'block';
|
||||
} else if (data.event === 'upscaling-done') {
|
||||
document.getElementById('scaling-inprocess-message').style.display =
|
||||
'none';
|
||||
} else if (data.event === 'step') {
|
||||
progressEle.setAttribute('value', data.step);
|
||||
if (data.url) {
|
||||
progressImageEle.src = data.url;
|
||||
}
|
||||
} else if (data.event === 'canceled') {
|
||||
// avoid alerting as if this were an error case
|
||||
noOutputs = false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Re-enable form, remove no-results-message
|
||||
form.querySelector('fieldset').removeAttribute('disabled');
|
||||
document.querySelector('#prompt').value = prompt;
|
||||
document.querySelector('progress').setAttribute('value', '0');
|
||||
|
||||
if (noOutputs) {
|
||||
alert('Error occurred while generating.');
|
||||
}
|
||||
});
|
||||
|
||||
// Disable form while generating
|
||||
form.querySelector('fieldset').setAttribute('disabled', '');
|
||||
document.querySelector('#prompt').value = `Generating: "${prompt}"`;
|
||||
}
|
||||
|
||||
async function fetchRunLog() {
|
||||
try {
|
||||
let response = await fetch('/run_log.json');
|
||||
const data = await response.json();
|
||||
for (let item of data.run_log) {
|
||||
appendOutput(item.url, item.seed, item);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
}
|
||||
}
|
||||
|
||||
window.onload = async () => {
|
||||
document.querySelector('#prompt').addEventListener('keydown', (e) => {
|
||||
if (e.key === 'Enter' && !e.shiftKey) {
|
||||
const form = e.target.form;
|
||||
generateSubmit(form);
|
||||
}
|
||||
});
|
||||
document.querySelector('#generate-form').addEventListener('submit', (e) => {
|
||||
e.preventDefault();
|
||||
const form = e.target;
|
||||
|
||||
generateSubmit(form);
|
||||
});
|
||||
document.querySelector('#generate-form').addEventListener('change', (e) => {
|
||||
saveFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#reset-seed').addEventListener('click', (e) => {
|
||||
document.querySelector('#seed').value = -1;
|
||||
saveFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#reset-all').addEventListener('click', (e) => {
|
||||
clearFields(e.target.form);
|
||||
});
|
||||
document.querySelector('#remove-image').addEventListener('click', (e) => {
|
||||
initimg.value = null;
|
||||
});
|
||||
loadFields(document.querySelector('#generate-form'));
|
||||
|
||||
document.querySelector('#cancel-button').addEventListener('click', () => {
|
||||
fetch('/cancel').catch((e) => {
|
||||
console.error(e);
|
||||
});
|
||||
});
|
||||
document.documentElement.addEventListener('keydown', (e) => {
|
||||
if (e.key === 'Escape')
|
||||
fetch('/cancel').catch((err) => {
|
||||
console.error(err);
|
||||
});
|
||||
});
|
||||
|
||||
if (!config.gfpgan_model_exists) {
|
||||
document.querySelector('#gfpgan').style.display = 'none';
|
||||
}
|
||||
await fetchRunLog();
|
||||
};
|
||||
Reference in New Issue
Block a user