6f99b15320
Signed-off-by: Victor Seiji Hariki <victorseijih@gmail.com>
883 lines
25 KiB
JavaScript
883 lines
25 KiB
JavaScript
//TODO FIND OUT WHY I HAVE TO RESIZE A TEXTBOX AND THEN START USING IT TO AVOID THE 1px WHITE LINE ON LEFT EDGES DURING IMG2IMG
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//...lmao did setting min width 200 on info div fix that accidentally? once the canvas is infinite and the menu bar is hideable it'll probably be a problem again
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window.onload = startup;
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var stableDiffusionData = {
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//includes img2img data but works for txt2img just fine
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prompt: "",
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negative_prompt: "",
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seed: -1,
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cfg_scale: null,
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sampler_index: "DDIM",
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steps: null,
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denoising_strength: 1,
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mask_blur: 0,
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batch_size: null,
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width: 512,
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height: 512,
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n_iter: null, // batch count
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mask: "",
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init_images: [],
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inpaint_full_res: false,
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inpainting_fill: 2,
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enable_hr: false,
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firstphase_width: 0,
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firstphase_height: 0,
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// here's some more fields that might be useful
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// ---txt2img specific:
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// "enable_hr": false, // hires fix
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// "denoising_strength": 0, // ok this is in both txt and img2img but txt2img only applies it if enable_hr == true
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// "firstphase_width": 0, // hires fp w
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// "firstphase_height": 0, // see above s/w/h/
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// ---img2img specific
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// "init_images": [ // imageS!??!? wtf maybe for batch img2img?? i just dump one base64 in here
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// "string"
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// ],
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// "resize_mode": 0,
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// "denoising_strength": 0.75, // yeah see
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// "mask": "string", // string is just a base64 image
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// "mask_blur": 4,
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// "inpainting_fill": 0, // 0- fill, 1- orig, 2- latent noise, 3- latent nothing
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// "inpaint_full_res": true,
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// "inpaint_full_res_padding": 0, // px
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// "inpainting_mask_invert": 0, // bool??????? wtf
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// "include_init_images": false // ??????
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};
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// stuff things use
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var returnedImages;
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var imageIndex = 0;
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var tmpImgXYWH = {};
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var host = "";
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var url = "/sdapi/v1/";
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var endpoint = "txt2img";
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var frameX = 512;
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var frameY = 512;
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var drawThis = {};
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const basePixelCount = 64; //64 px - ALWAYS 64 PX
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var scaleFactor = 8; //x64 px
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var snapToGrid = true;
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var backupMaskPaintCanvas; //???
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var backupMaskPaintCtx; //...? look i am bad at this
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var backupMaskChunk = null;
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var backupMaskX = null;
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var backupMaskY = null;
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var totalImagesReturned;
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var overMaskPx = 0;
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var drawTargets = []; // is this needed? i only draw the last one anyway...
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var dropTargets = []; // uhhh yeah similar to the above but for arbitrary dropped images
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var arbitraryImage;
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var arbitraryImageData;
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var arbitraryImageBitmap;
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var arbitraryImageBase64; // seriously js cmon work with me here
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var placingArbitraryImage = false; // for when the user has loaded an existing image from their computer
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var marchOffset = 0;
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var stopMarching = null;
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var inProgress = false;
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var marchCoords = {};
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//
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function startup() {
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testHostConfiguration();
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loadSettings();
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const hostEl = document.getElementById("host");
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testHostConnection().then((checkConnection) => {
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hostEl.onchange = () => {
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host = hostEl.value.endsWith("/")
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? hostEl.value.substring(0, hostEl.value.length - 1)
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: hostEl.value;
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hostEl.value = host;
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localStorage.setItem("host", host);
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checkConnection();
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};
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});
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const promptEl = document.getElementById("prompt");
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promptEl.oninput = () => {
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stableDiffusionData.prompt = promptEl.value;
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promptEl.title = promptEl.value;
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localStorage.setItem("prompt", stableDiffusionData.prompt);
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};
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const negPromptEl = document.getElementById("negPrompt");
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negPromptEl.oninput = () => {
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stableDiffusionData.negative_prompt = negPromptEl.value;
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negPromptEl.title = negPromptEl.value;
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localStorage.setItem("neg_prompt", stableDiffusionData.negative_prompt);
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};
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drawBackground();
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changeSampler();
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changeMaskBlur();
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changeSeed();
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changeOverMaskPx();
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changeHiResFix();
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document.getElementById("scaleFactor").value = scaleFactor;
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}
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/**
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* Initial connection checks
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*/
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function testHostConfiguration() {
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/**
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* Check host configuration
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*/
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const hostEl = document.getElementById("host");
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const requestHost = (prompt, def = "http://127.0.0.1:7860") => {
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let value = window.prompt(prompt, def);
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if (value === null) value = "http://127.0.0.1:7860";
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value = value.endsWith("/") ? value.substring(0, value.length - 1) : value;
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host = value;
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hostEl.value = host;
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localStorage.setItem("host", host);
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testHostConfiguration();
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};
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const current = localStorage.getItem("host");
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if (current) {
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if (!current.match(/^https?:\/\/[a-z0-9][a-z0-9.]+[a-z0-9](:[0-9]+)?$/i))
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requestHost(
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"Host seems to be invalid! Please fix your host here:",
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current
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);
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else
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host = current.endsWith("/")
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? current.substring(0, current.length - 1)
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: current;
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} else {
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requestHost(
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"This seems to be the first time you are using openOutpaint! Please set your host here:"
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);
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}
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}
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async function testHostConnection() {
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class CheckInProgressError extends Error {}
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const connectionIndicator = document.getElementById(
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"connection-status-indicator"
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);
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let connectionStatus = false;
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let firstTimeOnline = true;
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const setConnectionStatus = (status) => {
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const statuses = {
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online: () => {
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connectionIndicator.classList.add("online");
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connectionIndicator.classList.remove(
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"cors-issue",
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"offline",
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"before",
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"server-error"
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);
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connectionIndicator.title = "Connected";
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connectionStatus = true;
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},
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error: () => {
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connectionIndicator.classList.add("server-error");
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connectionIndicator.classList.remove(
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"online",
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"offline",
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"before",
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"cors-issue"
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);
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connectionIndicator.title =
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"Server is online, but is returning an error response";
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connectionStatus = false;
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},
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corsissue: () => {
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connectionIndicator.classList.add("cors-issue");
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connectionIndicator.classList.remove(
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"online",
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"offline",
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"before",
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"server-error"
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);
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connectionIndicator.title =
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"Server is online, but CORS is blocking our requests";
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connectionStatus = false;
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},
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offline: () => {
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connectionIndicator.classList.add("offline");
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connectionIndicator.classList.remove(
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"cors-issue",
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"online",
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"before",
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"server-error"
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);
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connectionIndicator.title =
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"Server seems to be offline. Please check the console for more information.";
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connectionStatus = false;
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},
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before: () => {
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connectionIndicator.classList.add("before");
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connectionIndicator.classList.remove(
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"cors-issue",
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"online",
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"offline",
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"server-error"
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);
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connectionIndicator.title = "Waiting for check to complete.";
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connectionStatus = false;
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},
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};
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statuses[status] && statuses[status]();
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};
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setConnectionStatus("before");
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let checkInProgress = false;
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const checkConnection = async (notify = false) => {
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if (checkInProgress)
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throw new CheckInProgressError(
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"Check is currently in progress, please try again"
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);
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checkInProgress = true;
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var url = document.getElementById("host").value + "/startup-events";
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// Attempt normal request
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try {
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/** @type {Response} */
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const response = await fetch(url, {
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signal: AbortSignal.timeout(5000),
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});
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if (response.status === 200) {
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setConnectionStatus("online");
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// Load data as soon as connection is first stablished
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if (firstTimeOnline) {
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getSamplers();
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getUpscalers();
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getModels();
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firstTimeOnline = false;
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}
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} else {
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setConnectionStatus("error");
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const message = `Server responded with ${response.status} - ${response.statusText}. Try running the webui with the flag '--api'`;
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console.error(message);
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if (notify) alert(message);
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}
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} catch (e) {
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try {
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if (e instanceof DOMException) throw "offline";
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// Tests if problem is CORS
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await fetch(url, {mode: "no-cors"});
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setConnectionStatus("corsissue");
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const message = `CORS is blocking our requests. Try running the webui with the flag '--cors-allow-origins=${document.URL.substring(
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0,
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document.URL.length - 1
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)}'`;
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console.error(message);
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if (notify) alert(message);
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} catch (e) {
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setConnectionStatus("offline");
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const message = `The server seems to be offline. Is host '${
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document.getElementById("host").value
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}' correct?`;
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console.error(message);
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if (notify) alert(message);
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}
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}
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checkInProgress = false;
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return status;
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};
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await checkConnection(true);
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// On click, attempt to refresh
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connectionIndicator.onclick = async () => {
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try {
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await checkConnection(true);
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checked = true;
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} catch (e) {
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console.debug("Already refreshing");
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}
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};
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// Checks every 5 seconds if offline, 30 seconds if online
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const checkAgain = () => {
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setTimeout(
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async () => {
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await checkConnection();
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checkAgain();
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},
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connectionStatus ? 30000 : 5000
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);
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};
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checkAgain();
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return () => {
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checkConnection().catch(() => {});
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};
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}
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function newImage(evt) {
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clearPaintedMask();
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clearBackupMask();
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commands.runCommand("eraseImage", "Clear Canvas", {
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x: 0,
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y: 0,
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w: imgCanvas.width,
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h: imgCanvas.height,
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});
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}
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function prevImg(evt) {
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if (imageIndex == 0) {
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imageIndex = totalImagesReturned;
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}
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changeImg(false);
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}
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function nextImg(evt) {
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if (imageIndex == totalImagesReturned - 1) {
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imageIndex = -1;
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}
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changeImg(true);
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}
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function changeImg(forward) {
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const img = new Image();
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tempCtx.clearRect(0, 0, tempCtx.width, tempCtx.height);
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img.onload = function () {
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tempCtx.drawImage(img, tmpImgXYWH.x, tmpImgXYWH.y); //imgCtx for actual image, tmp for... holding?
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};
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var tmpIndex = document.getElementById("currentImgIndex");
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if (forward) {
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imageIndex++;
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} else {
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imageIndex--;
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}
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tmpIndex.innerText = imageIndex + 1;
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// load the image data after defining the closure
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img.src = "data:image/png;base64," + returnedImages[imageIndex]; //TODO need way to dream batches and select from results
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}
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function removeChoiceButtons(evt) {
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const element = document.getElementById("veryTempDiv");
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element.remove();
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tempCtx.clearRect(0, 0, tempCanvas.width, tempCanvas.height);
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}
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function backupAndClearMask(x, y, w, h) {
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var clearArea = maskPaintCtx.createImageData(w, h);
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backupMaskChunk = maskPaintCtx.getImageData(x, y, w, h);
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backupMaskX = x;
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backupMaskY = y;
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var clearD = clearArea.data;
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for (i = 0; i < clearD.length; i += 4) {
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clearD[i] = 0;
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clearD[i + 1] = 0;
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clearD[i + 2] = 0;
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clearD[i + 3] = 0;
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}
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maskPaintCtx.putImageData(clearArea, x, y);
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}
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function restoreBackupMask() {
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// reapply mask if exists
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if (backupMaskChunk != null && backupMaskX != null && backupMaskY != null) {
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// backup mask data exists
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var iData = new ImageData(
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backupMaskChunk.data,
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backupMaskChunk.height,
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backupMaskChunk.width
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);
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maskPaintCtx.putImageData(iData, backupMaskX, backupMaskY);
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}
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}
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function clearBackupMask() {
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// clear backupmask
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backupMaskChunk = null;
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backupMaskX = null;
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backupMaskY = null;
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}
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function clearImgMask() {
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imgCtx.clearRect(0, 0, imgCanvas.width, imgCanvas.height);
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}
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function clearPaintedMask() {
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maskPaintCtx.clearRect(0, 0, maskPaintCanvas.width, maskPaintCanvas.height);
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}
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function placeImage() {
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const img = new Image();
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img.onload = function () {
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commands.runCommand("drawImage", "Image Dream", {
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x: tmpImgXYWH.x,
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y: tmpImgXYWH.y,
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image: img,
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});
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tmpImgXYWH = {};
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returnedImages = null;
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};
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// load the image data after defining the closure
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img.src = "data:image/png;base64," + returnedImages[imageIndex];
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}
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function sleep(ms) {
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// what was this even for, anyway?
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return new Promise((resolve) => setTimeout(resolve, ms));
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}
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function march(bb) {
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const expanded = {...bb};
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expanded.x--;
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expanded.y--;
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expanded.w += 2;
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expanded.h += 2;
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// Get temporary layer to draw marching ants
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const layer = imageCollection.registerLayer(null, {
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bb: expanded,
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});
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layer.canvas.style.imageRendering = "pixelated";
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let offset = 0;
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const interval = setInterval(() => {
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drawMarchingAnts(layer.ctx, bb, offset++);
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offset %= 12;
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}, 20);
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return () => {
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clearInterval(interval);
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imageCollection.deleteLayer(layer);
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};
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}
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function drawMarchingAnts(ctx, bb, offset) {
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ctx.clearRect(0, 0, bb.w + 2, bb.h + 2);
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ctx.strokeStyle = "#FFFFFFFF"; //"#55000077";
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ctx.strokeWidth = "2px";
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ctx.setLineDash([4, 2]);
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ctx.lineDashOffset = -offset;
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ctx.strokeRect(1, 1, bb.w, bb.h);
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}
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function changeSampler() {
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if (!document.getElementById("samplerSelect").value == "") {
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// must be done, since before getSamplers is done, the options are empty
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console.log(document.getElementById("samplerSelect").value == "");
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stableDiffusionData.sampler_index =
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document.getElementById("samplerSelect").value;
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localStorage.setItem("sampler", stableDiffusionData.sampler_index);
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}
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}
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const makeSlider = (
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label,
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el,
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lsKey,
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min,
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max,
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step,
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defaultValue,
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valuecb = null
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) => {
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const local = localStorage.getItem(lsKey);
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const def = parseFloat(local === null ? defaultValue : local);
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return createSlider(label, el, {
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valuecb:
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valuecb ||
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((v) => {
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stableDiffusionData[lsKey] = v;
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localStorage.setItem(lsKey, v);
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}),
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min,
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max,
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step,
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defaultValue: def,
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});
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};
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makeSlider(
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"CFG Scale",
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document.getElementById("cfgScale"),
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"cfg_scale",
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-1,
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25,
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0.5,
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7.0
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);
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makeSlider(
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"Batch Size",
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document.getElementById("batchSize"),
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"batch_size",
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1,
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8,
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1,
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2
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);
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makeSlider(
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"Iterations",
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document.getElementById("batchCount"),
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"n_iter",
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1,
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8,
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1,
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2
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);
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makeSlider(
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"Scale Factor",
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document.getElementById("scaleFactor"),
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"scale_factor",
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1,
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16,
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1,
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8,
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(v) => {
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scaleFactor = v;
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}
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);
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makeSlider("Steps", document.getElementById("steps"), "steps", 1, 70, 1, 30);
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function changeSnapMode() {
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snapToGrid = document.getElementById("cbxSnap").checked;
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}
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function changeMaskBlur() {
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stableDiffusionData.mask_blur = document.getElementById("maskBlur").value;
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localStorage.setItem("mask_blur", stableDiffusionData.mask_blur);
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}
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function changeSeed() {
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stableDiffusionData.seed = document.getElementById("seed").value;
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localStorage.setItem("seed", stableDiffusionData.seed);
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}
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function changeOverMaskPx() {
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// overMaskPx = document.getElementById("overMaskPx").value;
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|
// localStorage.setItem("overmask_px", overMaskPx);
|
|
}
|
|
|
|
function changeHiResFix() {
|
|
stableDiffusionData.enable_hr = Boolean(
|
|
document.getElementById("cbxHRFix").checked
|
|
);
|
|
localStorage.setItem("enable_hr", stableDiffusionData.enable_hr);
|
|
}
|
|
|
|
function isCanvasBlank(x, y, w, h, specifiedCanvas) {
|
|
var canvas = document.getElementById(specifiedCanvas.id);
|
|
return !canvas
|
|
.getContext("2d")
|
|
.getImageData(x, y, w, h)
|
|
.data.some((channel) => channel !== 0);
|
|
}
|
|
|
|
function drawBackground() {
|
|
// Checkerboard
|
|
let darkTileColor = "#333";
|
|
let lightTileColor = "#555";
|
|
for (var x = 0; x < bgLayer.canvas.width; x += 64) {
|
|
for (var y = 0; y < bgLayer.canvas.height; y += 64) {
|
|
bgLayer.ctx.fillStyle =
|
|
(x + y) % 128 === 0 ? lightTileColor : darkTileColor;
|
|
bgLayer.ctx.fillRect(x, y, 64, 64);
|
|
}
|
|
}
|
|
}
|
|
|
|
function getUpscalers() {
|
|
/*
|
|
so for some reason when upscalers request returns upscalers, the real-esrgan model names are incorrect, and need to be fetched from /sdapi/v1/realesrgan-models
|
|
also the realesrgan models returned are not all correct, extra fun!
|
|
LDSR seems to have problems so we dont add that either -> RuntimeError: Number of dimensions of repeat dims can not be smaller than number of dimensions of tensor
|
|
need to figure out why that is, if you dont get this error then you can add it back in
|
|
|
|
Hacky way to get the correct list all in one go is to purposefully make an incorrect request, which then returns
|
|
{ detail: "Invalid upscaler, needs to be on of these: None , Lanczos , Nearest , LDSR , BSRGAN , R-ESRGAN General 4xV3 , R-ESRGAN 4x+ Anime6B , ScuNET , ScuNET PSNR , SwinIR_4x" }
|
|
from which we can extract the correct list of upscalers
|
|
*/
|
|
|
|
// hacky way to get the correct list of upscalers
|
|
var upscalerSelect = document.getElementById("upscalers");
|
|
var extras_url =
|
|
document.getElementById("host").value + "/sdapi/v1/extra-single-image/"; // endpoint for upscaling, needed for the hacky way to get the correct list of upscalers
|
|
var empty_image = new Image(512, 512);
|
|
empty_image.src =
|
|
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAFCAAAAABCAYAAAChpRsuAAAALklEQVR42u3BAQ0AAAgDoJvc6LeHAybtBgAAAAAAAAAAAAAAAAAAAAAAAAB47QD2wAJ/LnnqGgAAAABJRU5ErkJggg=="; //transparent pixel
|
|
var purposefully_incorrect_data = {
|
|
"resize-mode": 0, // 0 = just resize, 1 = crop and resize, 2 = resize and fill i assume based on theimg2img tabs options
|
|
upscaling_resize: 2,
|
|
upscaler_1: "fake_upscaler",
|
|
image: empty_image.src,
|
|
};
|
|
|
|
fetch(extras_url, {
|
|
method: "POST",
|
|
headers: {
|
|
Accept: "application/json",
|
|
"Content-Type": "application/json",
|
|
},
|
|
body: JSON.stringify(purposefully_incorrect_data),
|
|
})
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
console.log("purposefully_incorrect_data response, ignore above error");
|
|
// result = purposefully_incorrect_data response: Invalid upscaler, needs to be on of these: None , Lanczos , Nearest , LDSR , BSRGAN , R-ESRGAN General 4xV3 , R-ESRGAN 4x+ Anime6B , ScuNET , ScuNET PSNR , SwinIR_4x
|
|
let upscalers = data.detail.split(": ")[1].trim().split(" , "); // converting the result to a list of upscalers
|
|
for (var i = 0; i < upscalers.length; i++) {
|
|
// if(upscalers[i] == "LDSR") continue; // Skip LDSR, see reason in the first comment // readded because worksonmymachine.jpg but leaving it here in case of, uh, future disaster?
|
|
var option = document.createElement("option");
|
|
option.text = upscalers[i];
|
|
option.value = upscalers[i];
|
|
upscalerSelect.add(option);
|
|
}
|
|
});
|
|
|
|
/* THE NON HACKY WAY THAT I SIMPLY COULD NOT GET TO PRODUCE A LIST WITHOUT NON WORKING UPSCALERS, FEEL FREE TO TRY AND FIGURE IT OUT
|
|
|
|
var url = document.getElementById("host").value + "/sdapi/v1/upscalers";
|
|
var realesrgan_url = document.getElementById("host").value + "/sdapi/v1/realesrgan-models";
|
|
|
|
// get upscalers
|
|
fetch(url)
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
console.log(data);
|
|
|
|
for (var i = 0; i < data.length; i++) {
|
|
var option = document.createElement("option");
|
|
|
|
if (data[i].name.includes("ESRGAN") || data[i].name.includes("LDSR")) {
|
|
continue;
|
|
}
|
|
option.text = data[i].name;
|
|
upscalerSelect.add(option);
|
|
}
|
|
})
|
|
.catch((error) => {
|
|
alert(
|
|
"Error getting upscalers, please check console for additional info\n" +
|
|
error
|
|
);
|
|
});
|
|
// fetch realesrgan models separately
|
|
fetch(realesrgan_url)
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
var model = data;
|
|
for(var i = 0; i < model.length; i++){
|
|
let option = document.createElement("option");
|
|
option.text = model[i].name;
|
|
option.value = model[i].name;
|
|
upscalerSelect.add(option);
|
|
|
|
}
|
|
|
|
})
|
|
*/
|
|
}
|
|
|
|
async function getModels() {
|
|
var modelSelect = document.getElementById("models");
|
|
var url = document.getElementById("host").value + "/sdapi/v1/sd-models";
|
|
await fetch(url)
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
//console.log(data); All models
|
|
for (var i = 0; i < data.length; i++) {
|
|
var option = document.createElement("option");
|
|
option.text = data[i].model_name;
|
|
option.value = data[i].title;
|
|
modelSelect.add(option);
|
|
}
|
|
});
|
|
|
|
// get currently loaded model
|
|
|
|
await fetch(document.getElementById("host").value + "/sdapi/v1/options")
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
var model = data.sd_model_checkpoint;
|
|
console.log("Current model: " + model);
|
|
modelSelect.value = model;
|
|
});
|
|
}
|
|
|
|
function changeModel() {
|
|
// change the model
|
|
console.log("changing model to " + document.getElementById("models").value);
|
|
var model_title = document.getElementById("models").value;
|
|
var payload = {
|
|
sd_model_checkpoint: model_title,
|
|
};
|
|
var url = document.getElementById("host").value + "/sdapi/v1/options/";
|
|
fetch(url, {
|
|
method: "POST",
|
|
mode: "cors", // no-cors, *cors, same-origin
|
|
cache: "default", // *default, no-cache, reload, force-cache, only-if-cached
|
|
credentials: "same-origin", // include, *same-origin, omit
|
|
redirect: "follow", // manual, *follow, error
|
|
referrerPolicy: "no-referrer", // no-referrer, *no-referrer-when-downgrade, origin, origin-when-cross-origin, same-origin, strict-origin, strict-origin-when-cross-origin, unsafe-url
|
|
headers: {
|
|
Accept: "application/json",
|
|
"Content-Type": "application/json",
|
|
},
|
|
body: JSON.stringify(payload),
|
|
})
|
|
.then((response) => response.json())
|
|
.then(() => {
|
|
alert("Model changed to " + model_title);
|
|
})
|
|
.catch((error) => {
|
|
alert(
|
|
"Error changing model, please check console for additional info\n" +
|
|
error
|
|
);
|
|
});
|
|
}
|
|
|
|
function getSamplers() {
|
|
var samplerSelect = document.getElementById("samplerSelect");
|
|
var url = document.getElementById("host").value + "/sdapi/v1/samplers";
|
|
fetch(url)
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
//console.log(data); All samplers
|
|
for (var i = 0; i < data.length; i++) {
|
|
// PLMS SAMPLER DOES NOT WORK FOR ANY IMAGES BEYOND FOR THE INITIAL IMAGE (for me at least), GIVES ASGI Exception; AttributeError: 'PLMSSampler' object has no attribute 'stochastic_encode'
|
|
|
|
var option = document.createElement("option");
|
|
option.text = data[i].name;
|
|
option.value = data[i].name;
|
|
samplerSelect.add(option);
|
|
}
|
|
if (localStorage.getItem("sampler") != null) {
|
|
samplerSelect.value = localStorage.getItem("sampler");
|
|
} else {
|
|
// needed now, as hardcoded sampler cant be guaranteed to be in the list
|
|
samplerSelect.value = data[0].name;
|
|
localStorage.setItem("sampler", samplerSelect.value);
|
|
}
|
|
})
|
|
.catch((error) => {
|
|
alert(
|
|
"Error getting samplers, please check console for additional info\n" +
|
|
error
|
|
);
|
|
});
|
|
}
|
|
async function upscaleAndDownload() {
|
|
// Future improvements: some upscalers take a while to upscale, so we should show a loading bar or something, also a slider for the upscale amount
|
|
|
|
// get cropped canvas, send it to upscaler, download result
|
|
var upscale_factor = 2; // TODO: make this a user input 1.x - 4.0 or something
|
|
var upscaler = document.getElementById("upscalers").value;
|
|
var croppedCanvas = cropCanvas(imgCanvas);
|
|
if (croppedCanvas != null) {
|
|
var upscaler = document.getElementById("upscalers").value;
|
|
var url =
|
|
document.getElementById("host").value + "/sdapi/v1/extra-single-image/";
|
|
var imgdata = croppedCanvas.toDataURL("image/png");
|
|
var data = {
|
|
"resize-mode": 0, // 0 = just resize, 1 = crop and resize, 2 = resize and fill i assume based on theimg2img tabs options
|
|
upscaling_resize: upscale_factor,
|
|
upscaler_1: upscaler,
|
|
image: imgdata,
|
|
};
|
|
console.log(data);
|
|
await fetch(url, {
|
|
method: "POST",
|
|
headers: {
|
|
Accept: "application/json",
|
|
"Content-Type": "application/json",
|
|
},
|
|
body: JSON.stringify(data),
|
|
})
|
|
.then((response) => response.json())
|
|
.then((data) => {
|
|
console.log(data);
|
|
var link = document.createElement("a");
|
|
link.download =
|
|
new Date()
|
|
.toISOString()
|
|
.slice(0, 19)
|
|
.replace("T", " ")
|
|
.replace(":", " ") +
|
|
" openOutpaint image upscaler_" +
|
|
upscaler +
|
|
".png";
|
|
link.href = "data:image/png;base64," + data["image"];
|
|
link.click();
|
|
});
|
|
}
|
|
}
|
|
|
|
function loadSettings() {
|
|
// set default values if not set
|
|
var _prompt =
|
|
localStorage.getItem("prompt") == null
|
|
? "ocean floor scientific expedition, underwater wildlife"
|
|
: localStorage.getItem("prompt");
|
|
var _negprompt =
|
|
localStorage.getItem("neg_prompt") == null
|
|
? "people, person, humans, human, divers, diver, glitch, error, text, watermark, bad quality, blurry"
|
|
: localStorage.getItem("neg_prompt");
|
|
var _sampler =
|
|
localStorage.getItem("sampler") == null
|
|
? "DDIM"
|
|
: localStorage.getItem("sampler");
|
|
var _mask_blur =
|
|
localStorage.getItem("mask_blur") == null
|
|
? 0
|
|
: localStorage.getItem("mask_blur");
|
|
var _seed =
|
|
localStorage.getItem("seed") == null ? -1 : localStorage.getItem("seed");
|
|
var _enable_hr = Boolean(
|
|
localStorage.getItem("enable_hr") == (null || "false")
|
|
? false
|
|
: localStorage.getItem("enable_hr")
|
|
);
|
|
var _enable_erase = Boolean(
|
|
localStorage.getItem("enable_erase") == (null || "false")
|
|
? false
|
|
: localStorage.getItem("enable_erase")
|
|
);
|
|
var _overmask_px =
|
|
localStorage.getItem("overmask_px") == null
|
|
? 0
|
|
: localStorage.getItem("overmask_px");
|
|
|
|
// set the values into the UI
|
|
document.getElementById("prompt").value = String(_prompt);
|
|
document.getElementById("prompt").title = String(_prompt);
|
|
document.getElementById("negPrompt").value = String(_negprompt);
|
|
document.getElementById("negPrompt").title = String(_negprompt);
|
|
document.getElementById("samplerSelect").value = String(_sampler);
|
|
document.getElementById("maskBlur").value = Number(_mask_blur);
|
|
document.getElementById("seed").value = Number(_seed);
|
|
document.getElementById("cbxHRFix").checked = Boolean(_enable_hr);
|
|
// document.getElementById("overMaskPx").value = Number(_overmask_px);
|
|
}
|
|
|
|
imageCollection.element.addEventListener(
|
|
"wheel",
|
|
(evn) => {
|
|
evn.preventDefault();
|
|
},
|
|
{passive: false}
|
|
);
|
|
|
|
imageCollection.element.addEventListener(
|
|
"contextmenu",
|
|
(evn) => {
|
|
evn.preventDefault();
|
|
},
|
|
{passive: false}
|
|
);
|