729 lines
24 KiB
JavaScript
729 lines
24 KiB
JavaScript
import { van } from "./van.js";
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import {
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imageUrl,
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showPreview,
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previewUrl,
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showEditor,
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previewImg,
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previewImgLoading,
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alertDialog,
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} from "./state.js";
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const { button, iframe, div, img, input, label, span, textarea } = van.tags;
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import { app } from "./app.js";
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import { uploadPreview } from "./index.js";
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import { api } from "./api.js";
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import { uploadSegments } from "./LayerEditor.js";
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import { initModel } from "./onnx.js";
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// import { uploadSegments } from "./LayerEditor.js";
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async function loadJSONWorkflow(name) {
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const json = await (await fetch(`./get_workflow?name=${name}`)).json();
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app.loadGraphData(json);
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console.log(json);
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}
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async function updatePositivePrompt(app, prompt) {
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const positivePrompt = app.graph
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.findNodesByType("CLIPTextEncode")
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.find((x) => x.color == "#232");
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if (!positivePrompt) {
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alertDialog.val = {
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text: "Cannot find the CLIPTextEncode node. Please make sure the workflow is correct.",
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time: 5000,
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};
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return;
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}
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positivePrompt.widgets[0].inputEl.value = prompt;
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}
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async function updateSeedValue(app, seed) {
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const kSampler = app.graph.findNodesByType("KSampler")[0];
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if (!kSampler) {
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alertDialog.val = {
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text: "Cannot find the KSampler node. Please make sure the workflow is correct.",
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time: 5000,
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};
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return;
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}
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kSampler.widgets[0].value = seed;
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kSampler.widgets[1].value = "fixed";
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}
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async function uploadImage() {
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/** @type {import('../../../web/types/litegraph.js').LGraph}*/
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const graph = app.graph;
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const nodes = graph.findNodesByType("LoadImage");
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previewImgLoading.val = true;
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console.log(previewImgLoading.val);
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/** @type {any[]}*/
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const widgets = nodes[0].widgets;
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console.log(nodes[0]);
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widgets.find((x) => x.type == "button").callback();
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while (true) {
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await new Promise((resolve) => setTimeout(resolve, 1000));
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if (nodes[0]?.imgs) {
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if (previewImg.val != "" && previewImg.val == nodes[0].imgs[0].currentSrc)
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continue;
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previewImgLoading.val = false;
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return nodes[0].imgs[0].currentSrc;
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}
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}
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}
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const jsonWorkflowLoading = van.state(true);
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async function prepareImageFromUrlRedirect(stage) {
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await new Promise((resolve) => setTimeout(resolve, 2000));
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const queue_id = new URLSearchParams(window.location.search).get("queue-id");
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if (queue_id && queue_id != "") {
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console.log(queue_id);
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stage.val = 1;
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const graph = app.graph;
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const node = graph.findNodesByType("LoadImage");
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const imageName = queue_id + ".png";
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console.log(node[0]);
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node[0].widgets_values[0] = imageName;
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node[0].widgets[0].value = imageName;
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node[0].widgets[0]._value = imageName;
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graph.change();
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previewImg.val = api.apiURL(
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`/view?filename=${encodeURIComponent(
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imageName
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)}&type=input&subfolder=create_avatar_endpoint${app.getPreviewFormatParam()}`
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);
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console.log(previewImg);
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}
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const dragndrop = document.getElementById("dnd");
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dragndrop.addEventListener("dragenter", (evt) => {
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evt.preventDefault();
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dragndrop.className =
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"h-96 w-full border-2 border-purple-500 text-purple-500 border-dashed rounded-lg flex justify-center items-center";
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});
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dragndrop.addEventListener("dragleave", (evt) => {
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evt.preventDefault();
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dragndrop.className =
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"h-96 w-full border-2 border-black border-dashed items-center rounded-lg flex justify-center";
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});
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dragndrop.addEventListener("dragover", (evt) => {
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evt.preventDefault();
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});
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dragndrop.addEventListener("drop", async (evt) => {
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evt.preventDefault();
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dragndrop.className =
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"h-96 w-full border-2 border-black border-dashed items-center rounded-lg flex justify-center";
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if (evt.dataTransfer.files.length > 1) return;
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if (
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evt.dataTransfer.files[0].type != "image/jpeg" &&
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evt.dataTransfer.files[0].type != "image/png" &&
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evt.dataTransfer.files[0].type != "image/webp"
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)
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return;
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stage.val = 1;
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previewImg.val = URL.createObjectURL(evt.dataTransfer.files[0]);
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if (Object.entries(evt.dataTransfer.files).length) {
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await uploadFile(evt.dataTransfer.files[0], true);
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}
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});
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}
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export function AvatarPreview() {
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console.log("getting workflow json now");
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loadJSONWorkflow("default").then(() => {
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console.log("done loading");
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jsonWorkflowLoading.val = false;
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});
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const loading = van.state(false);
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const shareLoading = van.state(false);
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api.addEventListener("execution_start", (evt) => {
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loading.val = true;
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});
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api.addEventListener("executed", (evt) => {
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loading.val = false;
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});
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const email = van.state("");
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const stage = van.state(0); // 0: upload image, 1: edit segment, 2: generate
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// This will wait 2 seconds until the everything is loaded
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prepareImageFromUrlRedirect(stage);
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const renderSteps = () => {
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return div(
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{
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class: () =>
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"flex flex-col bg-white justify-center w-[32rem] max-w-[100%]",
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},
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div(
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{
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class: () =>
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" bg-gradient-to-b from-black via-[#5F5F5F] via-60% to-white text-transparent bg-clip-text font-gabarito text-4xl",
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},
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"Avatech v1"
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),
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div(
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{
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class: () =>
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" bg-gradient-to-b from-black via-[#5F5F5F] via-50% to-white text-transparent bg-clip-text font-gabarito text-2xl",
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},
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"Get your DALLE3 AI Personal Clone"
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),
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// input({
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// type: "file",
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// class: "file-input file-input-bordered w-full w-full",
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// }),
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// label(
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// {
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// class: () =>
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// " aspect-square w-full ring-1 ring-black bg-[#f6f6f6] rounded-lg flex justify-center items-center text-black cursor-pointer mt-24",
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// // for: "imgtosam",
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// onclick: () => {},
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// },
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// div(
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// {
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// class: () => " absolute flex justify-center items-center ",
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// },
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// "upload your image"
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// ),
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// img({
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// class: () => " z-[10] object-contain w-[550px] h-[394px]",
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// id: "imgUrl",
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// })
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// ),
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div(
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{
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class: () =>
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" w-full flex flex-col justify-center items-center gap-4",
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},
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div(
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{ class: () => "tabs tabs-lifted md:w-full" },
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input({
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type: "radio",
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name: "my_tabs_1",
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class: () => "tab w-40",
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checked: true,
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ariaLabel: "Custom avatar",
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onclick: () => {
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jsonWorkflowLoading.val = true;
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loadJSONWorkflow("default").then(() => {
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console.log("done loading");
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jsonWorkflowLoading.val = false;
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});
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},
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}),
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div(
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{ class: () => "tab-content text-black w-full" },
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div(
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{
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class: () => "flex flex-col justify-center items-center gap-4 ",
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},
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div(
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{ class: () => "w-full flex mt-2" },
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button(
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{
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class: () =>
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`btn w-full normal-case`,
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onclick: async () => {
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// previewImg.val = await uploadImage();
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// stage.val = 1;
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var input = document.createElement("input");
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input.type = "file";
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document.body.appendChild(input);
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// when the input content changes, do something
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input.onchange = async function (e) {
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stage.val = 1;
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if (Object.entries(e.target.files).length) {
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await uploadFile(e.target.files[0], true);
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}
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previewImg.val = URL.createObjectURL(e.target.files[0]);
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// upload files
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document.body.removeChild(input);
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};
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// Trigger file browser
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input.click();
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},
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},
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div({ class: "badge badge-neutral" }, "1"),
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div("Upload your image"),
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span({
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class: "iconify text-lg",
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"data-icon": "material-symbols:drive-folder-upload",
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"data-inline": "false",
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}),
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() =>
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previewImgLoading.val
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? span({
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class: "loading loading-spinner loading-md",
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})
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: ""
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)
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),
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() => {
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const dnd = div(
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{
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id: "dnd",
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class: () =>
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"h-96 w-full border-2 border-black border-dashed items-center rounded-lg flex justify-center",
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},
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"or drag and drop the image here"
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);
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const image = img({
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class: () => "z-[10] object-contain w-full h-[394px] border",
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src: previewImg,
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});
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if (isMobileDevice()) {
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return previewImg.val !== "" ? image : "";
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} else {
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return previewImg.val === "" ? dnd : image;
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}
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},
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button(
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{
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class: () =>
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"btn w-full normal-case " +
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(stage.val < 1 ? "btn-disabled" : ""),
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onclick: () => {
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/** @type {import('../../../web/types/litegraph.js').LGraph}*/
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const graph = app.graph;
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const imageNodes = graph.findNodesByType("LoadImage");
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if (!imageNodes[0].imgs) return;
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const nodes = graph.findNodesByType("SAM MultiLayer");
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/** @type {any[]}*/
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const widgets = nodes[0].widgets;
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console.log(nodes[0]);
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console.log(nodes[0].widgets);
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widgets.find((x) => x.type == "button").callback();
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stage.val = 2;
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},
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},
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div({ class: "badge badge-neutral" }, "2"),
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"Edit Segment"
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),
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button(
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{
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class: () =>
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"btn w-full normal-case " +
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(stage.val < 2 ? "btn-disabled" : ""),
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onclick: async () => {
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// const uploaded = await uploadSegments();
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// if (!uploaded) return;
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const graph = app.graph;
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const imageNodes = graph.findNodesByType("LoadImage");
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if (!imageNodes[0].imgs) return;
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document.getElementById("queue-button").click();
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},
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},
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div({ class: "badge badge-neutral" }, "3"),
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() =>
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loading.val
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? span({
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class: "loading loading-spinner loading-md",
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})
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: "Make It Alive!"
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)
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)
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),
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input({
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type: "radio",
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name: "my_tabs_1",
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class: "tab w-40",
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ariaLabel: "Generate avatar",
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onclick: () => {
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jsonWorkflowLoading.val = true;
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loadJSONWorkflow("Lora").then(() => {
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console.log("done loading");
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jsonWorkflowLoading.val = false;
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});
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},
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}),
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div(
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{ class: "tab-content text-black w-full" },
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div(
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{ class: "flex flex-col justify-center items-center gap-4" },
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div(
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{
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class:
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"w-full mt-2 flex flex-col rounded-md left-0 top-0 z-[200] flex",
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},
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textarea({
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class:
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"textarea textarea-bordered border-gray-300 border-b-0 focus:outline-none resize-none rounded-t-md rounded-b-none text-md h-36",
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placeholder: "Enter your prompt",
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defaultValue:
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"1girl, looking at viewer, open mouth, simple background, white background, smile",
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id: "positivePromptProxy",
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}),
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div(
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{
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class:
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"flex flex-row gap-2 border border-gray-300 rounded-b-md text-md items-center",
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},
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span({ class: "ml-4" }, "Seed"),
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div({ class: "divider divider-horizontal m-0" }),
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input({
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type: "text",
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class: "input border-none focus:outline-none w-full p-0",
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placeholder: "Seed",
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defaultValue: "1234",
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id: "seedProxy",
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}),
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div(
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{
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onclick: () => {
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const random4Digits =
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Math.floor(Math.random() * 9000) + 1000;
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console.log(
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random4Digits,
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document.getElementById("seedProxy").value
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);
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document.getElementById("seedProxy").value =
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random4Digits.toString();
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},
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},
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span({
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class: "iconify text-2xl mr-4 hover:cursor-pointer",
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"data-icon": "fad:random-1dice",
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"data-inline": "false",
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})
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)
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)
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),
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button(
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{
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class: "btn w-full normal-case ",
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onclick: async () => {
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loading.val = true;
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updatePositivePrompt(
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app,
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document.getElementById("positivePromptProxy").value
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);
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updateSeedValue(
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app,
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document.getElementById("seedProxy").value
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);
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const sam = app.graph.findNodesByType("SAM MultiLayer")[0];
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if (!sam) {
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alertDialog.val = {
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text: "Cannot find the SAM node. Please make sure the workflow is correct.",
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time: 5000,
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};
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return;
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}
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const ckpt = sam.widgets[0].value;
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const modelType = ckpt.match(/vit_[lbh]/)?.[0];
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await initModel(modelType);
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await uploadSegments();
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document.getElementById("queue-button").click();
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},
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},
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div({ class: "badge badge-neutral" }, "1"),
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() =>
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loading.val
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? span({ class: "loading loading-spinner loading-md" })
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: "Make It Alive!"
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),
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button(
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{
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class: "btn w-full normal-case",
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onclick: () => {
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/** @type {import('../../../web/types/litegraph.js').LGraph}*/
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const graph = app.graph;
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const nodes = graph.findNodesByType("SAM MultiLayer");
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/** @type {any[]}*/
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const widgets = nodes[0].widgets;
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console.log(nodes[0]);
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console.log(nodes[0].widgets);
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widgets.find((x) => x.type == "button").callback();
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},
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},
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div({ class: "badge badge-neutral" }, "2"),
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"(Optional) Edit Segment"
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)
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)
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)
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)
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)
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);
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};
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const renderIFrame = () => {
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return iframe({
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id: "avatech-viewer-iframe",
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title: "avatech-viewer-iframe",
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name: "avatech-viewer-iframe",
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allow: "cross-origin-isolated",
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class: () =>
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"w-full h-full min-w-[300px] min-h-[400px] z-[100] pointer-events-auto flex border-none overflow-hidden" +
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(showPreview.val ? "" : "hidden"),
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// src: "https://labs.avatech.ai/viewer/default",
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// src: "http://localhost:3000/viewer/default",
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src: previewUrl,
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});
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};
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const renderShareLink = () => {
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return div(
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{
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class: () =>
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"w-full flex flex-col gap-2 justify-center items-center mt-8",
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},
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div(
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{
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class: () =>
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"w-full flex justify-center font-bold italic text-gray-500",
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},
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span("We are launching OpenAI Assistant API integration soon!")
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),
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div(
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{ class: () => "w-[24rem] flex justify-center items-center" },
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input({
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type: "text",
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class: () =>
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"w-full input input-bordered text-black rounded rounded-l-md rounded-r-none !outline-none",
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onchange: (e) => {
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email.val = e.target.value;
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},
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placeholder: "Enter your email",
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}),
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button(
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{
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class: () =>
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"btn rounded rounded-l-none rounded-r-md no-animation bg-neutral hover:bg-neutral-focus text-white border-none normal-case",
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onclick: async () => {
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shareLoading.val = true;
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const url = await (await fetch("./get_webhook")).json();
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await uploadPreview();
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await fetch(url, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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username: "Avabot",
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avatar_url:
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"https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/avatechai.png",
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content: "New register! \n" + email.val,
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}),
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});
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shareLoading.val = false;
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},
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},
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() =>
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shareLoading.val
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? span({
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class: "loading loading-spinner loading-md",
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})
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: "Get Avatar Link"
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)
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)
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);
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};
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const renderCloseButton = () => {
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return button(
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|
{
|
|
class: () =>
|
|
"btn flex flex-row btn-ghost text-black normal-case rounded-md left-0 top-0 z-[200] pointer-events-auto sm:btn-md btn-sm ",
|
|
onclick: () => {
|
|
showPreview.val = false;
|
|
},
|
|
},
|
|
span({
|
|
class: "iconify text-lg",
|
|
"data-icon": "ic:round-close",
|
|
"data-inline": "false",
|
|
})
|
|
);
|
|
};
|
|
|
|
const renderRestartButton = () => {
|
|
return button(
|
|
{
|
|
class: () =>
|
|
"btn flex flex-row btn-ghost text-black normal-case rounded-md left-0 top-0 z-[200] pointer-events-auto sm:btn-md btn-sm ",
|
|
onclick: () => {
|
|
fetch("https://7a49f4ad27be4dcf.ngrok.app/restart");
|
|
},
|
|
},
|
|
span({
|
|
class: "iconify text-lg",
|
|
"data-icon": "mdi:restart",
|
|
"data-inline": "false",
|
|
})
|
|
);
|
|
};
|
|
|
|
const renderChangeWorkflowButton = () => {
|
|
return button(
|
|
{
|
|
class: () =>
|
|
"btn text-black flex flex-row btn-ghost normal-case rounded-md left-0 top-0 z-[200] pointer-events-auto sm:btn-md btn-sm ",
|
|
onclick: () => {
|
|
let input = document.createElement("input");
|
|
input.type = "file";
|
|
document.body.appendChild(input);
|
|
input.accept = ".json,image/png,.latent,.safetensors";
|
|
input.onchange = async function (e) {
|
|
if (Object.entries(e.target.files).length) {
|
|
app.handleFile(e.target.files[0]);
|
|
}
|
|
document.body.removeChild(input);
|
|
};
|
|
input.click();
|
|
document.getElementById("comfy-load-button").click();
|
|
},
|
|
},
|
|
span({
|
|
class: "iconify text-lg",
|
|
"data-icon": "ic:round-swap-vert",
|
|
"data-inline": "false",
|
|
}),
|
|
span({ class: "sm:flex hidden" }, () =>
|
|
jsonWorkflowLoading.val ? "Loading" : "Change workflow"
|
|
)
|
|
);
|
|
};
|
|
|
|
const renderTwitter = () => {
|
|
return button(
|
|
{
|
|
class: () =>
|
|
"absolute top-4 right-4 btn sm:w-10 w-32 text-black btn-ghost text-xs !px-0 normal-case sm:btn-md btn-sm",
|
|
onclick: () => window.open("https://twitter.com/avatech_gg", "_blank"),
|
|
},
|
|
"Twitter"
|
|
);
|
|
};
|
|
|
|
const isMobileDevice = () => {
|
|
return window.screen.width < 768;
|
|
};
|
|
|
|
return div(
|
|
{
|
|
class: () => {
|
|
console.log(showPreview);
|
|
|
|
return (
|
|
(showPreview.val ? "" : "hidden ") +
|
|
"w-full h-full absolute left-0 top-0 z-[99] pointer-events-auto flex border-none bg-white"
|
|
);
|
|
},
|
|
},
|
|
div(
|
|
{ class: "overflow-y-auto overflow-x-hidden w-full h-full" },
|
|
div(
|
|
{
|
|
class: "absolute top-4 left-4 flex flex-row gap-2",
|
|
},
|
|
renderCloseButton(),
|
|
renderRestartButton(),
|
|
renderChangeWorkflowButton()
|
|
),
|
|
renderTwitter(),
|
|
() => {
|
|
if (isMobileDevice()) {
|
|
return div(
|
|
{
|
|
class: () =>
|
|
"flex flex-col w-full h-fit bg-white justify-center items-center py-16 px-4 gap-2" +
|
|
(showPreview.val ? "" : "hidden"),
|
|
},
|
|
renderIFrame(),
|
|
renderSteps(),
|
|
renderShareLink()
|
|
);
|
|
} else {
|
|
return div(
|
|
{
|
|
class: () =>
|
|
"flex w-full h-full bg-white justify-around items-center p-24" +
|
|
(showPreview.val ? "" : "hidden"),
|
|
},
|
|
renderSteps(),
|
|
div(
|
|
{ class: () => "flex flex-col" },
|
|
renderIFrame(),
|
|
renderShareLink()
|
|
)
|
|
);
|
|
}
|
|
}
|
|
)
|
|
);
|
|
}
|
|
|
|
function showImage(name) {
|
|
const graph = app.graph;
|
|
const node = graph.findNodesByType("LoadImage");
|
|
const img = new Image();
|
|
img.onload = () => {
|
|
node[0].imgs = [img];
|
|
app.graph.setDirtyCanvas(true);
|
|
};
|
|
let folder_separator = name.lastIndexOf("/");
|
|
let subfolder = "";
|
|
if (folder_separator > -1) {
|
|
subfolder = name.substring(0, folder_separator);
|
|
name = name.substring(folder_separator + 1);
|
|
}
|
|
img.src = api.apiURL(
|
|
`/view?filename=${encodeURIComponent(
|
|
name
|
|
)}&type=input&subfolder=${subfolder}${app.getPreviewFormatParam()}`
|
|
);
|
|
node.setSizeForImage?.();
|
|
}
|
|
|
|
async function uploadFile(file, updateNode, pasted = false) {
|
|
try {
|
|
// Wrap file in formdata so it includes filename
|
|
const graph = app.graph;
|
|
const nodes = graph.findNodesByType("LoadImage");
|
|
const widgets = nodes[0].widgets.find((w) => w.name === "image");
|
|
const body = new FormData();
|
|
body.append("image", file);
|
|
if (pasted) body.append("subfolder", "pasted");
|
|
const resp = await api.fetchApi("/upload/image", {
|
|
method: "POST",
|
|
body,
|
|
});
|
|
|
|
if (resp.status === 200) {
|
|
const data = await resp.json();
|
|
// Add the file to the dropdown list and update the widget value
|
|
let path = data.name;
|
|
if (data.subfolder) path = data.subfolder + "/" + path;
|
|
|
|
if (!widgets.options.values.includes(path)) {
|
|
widgets.options.values.push(path);
|
|
}
|
|
|
|
if (updateNode) {
|
|
showImage(path);
|
|
widgets.value = path;
|
|
}
|
|
} else {
|
|
alert(resp.status + " - " + resp.statusText);
|
|
}
|
|
} catch (error) {
|
|
alert(error);
|
|
}
|
|
}
|