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<!doctype html> |
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<html> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Real-Time Latent Consistency Model</title> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<script |
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src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script> |
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<script src="https://cdn.jsdelivr.net/npm/piexifjs@1.0.6/piexif.min.js"></script> |
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<script src="https://cdn.tailwindcss.com"></script> |
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<style type="text/tailwindcss"> |
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.button { |
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@apply bg-gray-700 hover:bg-gray-800 text-white font-normal p-2 rounded disabled:bg-gray-300 dark:disabled:bg-gray-700 disabled:cursor-not-allowed dark:disabled:text-black |
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} |
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</style> |
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<script type="module"> |
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const getValue = (id) => { |
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const el = document.querySelector(`${id}`) |
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if (el.type === "checkbox") |
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return el.checked; |
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return el.value; |
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} |
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const startBtn = document.querySelector("#start"); |
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const stopBtn = document.querySelector("#stop"); |
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const videoEl = document.querySelector("#webcam"); |
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const imageEl = document.querySelector("#player"); |
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const queueSizeEl = document.querySelector("#queue_size"); |
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const errorEl = document.querySelector("#error"); |
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const snapBtn = document.querySelector("#snap"); |
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const webcamsEl = document.querySelector("#webcams"); |
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function LCMLive(webcamVideo, liveImage) { |
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let websocket; |
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async function start() { |
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return new Promise((resolve, reject) => { |
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const websocketURL = `${window.location.protocol === "https:" ? "wss" : "ws" |
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}:${window.location.host}/ws`; |
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const socket = new WebSocket(websocketURL); |
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socket.onopen = () => { |
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console.log("Connected to websocket"); |
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}; |
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socket.onclose = () => { |
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console.log("Disconnected from websocket"); |
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stop(); |
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resolve({ "status": "disconnected" }); |
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}; |
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socket.onerror = (err) => { |
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console.error(err); |
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reject(err); |
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}; |
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socket.onmessage = (event) => { |
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const data = JSON.parse(event.data); |
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switch (data.status) { |
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case "success": |
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break; |
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case "start": |
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const userId = data.userId; |
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initVideoStream(userId); |
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break; |
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case "timeout": |
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stop(); |
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resolve({ "status": "timeout" }); |
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case "error": |
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stop(); |
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reject(data.message); |
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} |
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}; |
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websocket = socket; |
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}) |
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} |
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function switchCamera() { |
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const constraints = { |
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audio: false, |
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video: { width: 1024, height: 1024, deviceId: mediaDevices[webcamsEl.value].deviceId } |
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}; |
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navigator.mediaDevices |
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.getUserMedia(constraints) |
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.then((mediaStream) => { |
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webcamVideo.removeEventListener("timeupdate", videoTimeUpdateHandler); |
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webcamVideo.srcObject = mediaStream; |
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webcamVideo.onloadedmetadata = () => { |
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webcamVideo.play(); |
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webcamVideo.addEventListener("timeupdate", videoTimeUpdateHandler); |
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}; |
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}) |
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.catch((err) => { |
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console.error(`${err.name}: ${err.message}`); |
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}); |
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} |
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async function videoTimeUpdateHandler() { |
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const dimension = getValue("input[name=dimension]:checked"); |
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const [WIDTH, HEIGHT] = JSON.parse(dimension); |
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const canvas = new OffscreenCanvas(WIDTH, HEIGHT); |
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const videoW = webcamVideo.videoWidth; |
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const videoH = webcamVideo.videoHeight; |
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const aspectRatio = WIDTH / HEIGHT; |
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const ctx = canvas.getContext("2d"); |
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ctx.drawImage(webcamVideo, videoW / 2 - videoH * aspectRatio / 2, 0, videoH * aspectRatio, videoH, 0, 0, WIDTH, HEIGHT) |
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const blob = await canvas.convertToBlob({ type: "image/jpeg", quality: 1 }); |
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websocket.send(blob); |
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websocket.send(JSON.stringify({ |
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"seed": getValue("#seed"), |
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"prompt": getValue("#prompt"), |
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"guidance_scale": getValue("#guidance-scale"), |
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"strength": getValue("#strength"), |
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"steps": getValue("#steps"), |
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"lcm_steps": getValue("#lcm_steps"), |
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"width": WIDTH, |
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"height": HEIGHT, |
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})); |
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} |
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let mediaDevices = []; |
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async function initVideoStream(userId) { |
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liveImage.src = `/stream/${userId}`; |
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await navigator.mediaDevices.enumerateDevices() |
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.then(devices => { |
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const cameras = devices.filter(device => device.kind === 'videoinput'); |
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mediaDevices = cameras; |
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webcamsEl.innerHTML = ""; |
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cameras.forEach((camera, index) => { |
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const option = document.createElement("option"); |
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option.value = index; |
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option.innerText = camera.label; |
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webcamsEl.appendChild(option); |
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option.selected = index === 0; |
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}); |
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webcamsEl.addEventListener("change", switchCamera); |
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}) |
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.catch(err => { |
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console.error(err); |
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}); |
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const constraints = { |
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audio: false, |
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video: { width: 1024, height: 1024, deviceId: mediaDevices[0].deviceId } |
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}; |
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navigator.mediaDevices |
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.getUserMedia(constraints) |
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.then((mediaStream) => { |
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webcamVideo.srcObject = mediaStream; |
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webcamVideo.onloadedmetadata = () => { |
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webcamVideo.play(); |
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webcamVideo.addEventListener("timeupdate", videoTimeUpdateHandler); |
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}; |
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}) |
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.catch((err) => { |
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console.error(`${err.name}: ${err.message}`); |
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}); |
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} |
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async function stop() { |
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websocket.close(); |
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navigator.mediaDevices.getUserMedia({ video: true }).then((mediaStream) => { |
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mediaStream.getTracks().forEach((track) => track.stop()); |
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}); |
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webcamVideo.removeEventListener("timeupdate", videoTimeUpdateHandler); |
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webcamsEl.removeEventListener("change", switchCamera); |
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webcamVideo.srcObject = null; |
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} |
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return { |
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start, |
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stop |
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} |
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} |
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function toggleMessage(type) { |
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errorEl.hidden = false; |
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errorEl.scrollIntoView(); |
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switch (type) { |
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case "error": |
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errorEl.innerText = "To many users are using the same GPU, please try again later."; |
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errorEl.classList.toggle("bg-red-300", "text-red-900"); |
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break; |
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case "success": |
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errorEl.innerText = "Your session has ended, please start a new one."; |
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errorEl.classList.toggle("bg-green-300", "text-green-900"); |
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break; |
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} |
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setTimeout(() => { |
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errorEl.hidden = true; |
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}, 2000); |
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} |
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function snapImage() { |
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try { |
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const zeroth = {}; |
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const exif = {}; |
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const gps = {}; |
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zeroth[piexif.ImageIFD.Make] = "LCM Image-to-Image"; |
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zeroth[piexif.ImageIFD.ImageDescription] = `prompt: ${getValue("#prompt")} | seed: ${getValue("#seed")} | guidance_scale: ${getValue("#guidance-scale")} | strength: ${getValue("#strength")} | lcm_steps: ${getValue("#lcm_steps")} | steps: ${getValue("#steps")}`; |
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zeroth[piexif.ImageIFD.Software] = "https://github.com/radames/Real-Time-Latent-Consistency-Model"; |
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exif[piexif.ExifIFD.DateTimeOriginal] = new Date().toISOString(); |
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const exifObj = { "0th": zeroth, "Exif": exif, "GPS": gps }; |
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const exifBytes = piexif.dump(exifObj); |
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const canvas = document.createElement("canvas"); |
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canvas.width = imageEl.naturalWidth; |
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canvas.height = imageEl.naturalHeight; |
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const ctx = canvas.getContext("2d"); |
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ctx.drawImage(imageEl, 0, 0); |
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const dataURL = canvas.toDataURL("image/jpeg"); |
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const withExif = piexif.insert(exifBytes, dataURL); |
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const a = document.createElement("a"); |
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a.href = withExif; |
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a.download = `lcm_txt_2_img${Date.now()}.png`; |
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a.click(); |
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} catch (err) { |
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console.log(err); |
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} |
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} |
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const lcmLive = LCMLive(videoEl, imageEl); |
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startBtn.addEventListener("click", async () => { |
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try { |
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startBtn.disabled = true; |
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snapBtn.disabled = false; |
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const res = await lcmLive.start(); |
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startBtn.disabled = false; |
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if (res.status === "timeout") |
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toggleMessage("success") |
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} catch (err) { |
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console.log(err); |
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toggleMessage("error") |
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startBtn.disabled = false; |
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} |
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}); |
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stopBtn.addEventListener("click", () => { |
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lcmLive.stop(); |
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}); |
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window.addEventListener("beforeunload", () => { |
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lcmLive.stop(); |
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}); |
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snapBtn.addEventListener("click", snapImage); |
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setInterval(() => |
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fetch("/queue_size") |
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.then((res) => res.json()) |
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.then((data) => { |
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queueSizeEl.innerText = data.queue_size; |
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}) |
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.catch((err) => { |
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console.log(err); |
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}) |
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, 5000); |
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</script> |
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</head> |
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<body class="text-black dark:bg-gray-900 dark:text-white"> |
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<div class="fixed right-2 top-2 p-4 font-bold text-sm rounded-lg max-w-xs text-center" id="error"> |
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</div> |
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<main class="container mx-auto px-4 py-4 max-w-4xl flex flex-col gap-4"> |
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<article class="text-center max-w-xl mx-auto"> |
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<h1 class="text-3xl font-bold">Real-Time Latent Consistency Model</h1> |
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<h2 class="text-2xl font-bold mb-4">Image to Image</h2> |
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<p class="text-sm"> |
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This demo showcases |
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<a href="https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7" target="_blank" |
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class="text-blue-500 underline hover:no-underline">LCM</a> Image to Image pipeline |
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using |
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<a href="https://github.com/huggingface/diffusers/tree/main/examples/community#latent-consistency-pipeline" |
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target="_blank" class="text-blue-500 underline hover:no-underline">Diffusers</a> with a MJPEG |
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stream server. |
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</p> |
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<p class="text-sm"> |
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There are <span id="queue_size" class="font-bold">0</span> user(s) sharing the same GPU, affecting |
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real-time performance. Maximum queue size is 4. <a |
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href="https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model?duplicate=true" |
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target="_blank" class="text-blue-500 underline hover:no-underline">Duplicate</a> and run it on your |
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own GPU. |
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</p> |
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</article> |
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<div> |
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<h2 class="font-medium">Prompt</h2> |
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<p class="text-sm text-gray-500"> |
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Change the prompt to generate different images, accepts <a |
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href="https://github.com/damian0815/compel/blob/main/doc/syntax.md" target="_blank" |
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class="text-blue-500 underline hover:no-underline">Compel</a> syntax. |
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</p> |
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<div class="flex text-normal px-1 py-1 border border-gray-700 rounded-md items-center"> |
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<textarea type="text" id="prompt" class="font-light w-full px-3 py-2 mx-1 outline-none dark:text-black" |
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title="Prompt, this is an example, feel free to modify" |
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placeholder="Add your prompt here...">Portrait of The Terminator with , glare pose, detailed, intricate, full of colour, cinematic lighting, trending on artstation, 8k, hyperrealistic, focused, extreme details, unreal engine 5, cinematic, masterpiece</textarea> |
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</div> |
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</div> |
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<div class=""> |
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<details> |
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<summary class="font-medium cursor-pointer">Advanced Options</summary> |
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<div class="grid grid-cols-3 sm:grid-cols-6 items-center gap-3 py-3"> |
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<label for="webcams" class="text-sm font-medium">Camera Options: </label> |
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<select id="webcams" class="text-sm border-2 border-gray-500 rounded-md font-light dark:text-black"> |
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</select> |
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<div></div> |
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<label class="text-sm font-medium " for="steps">Inference Steps |
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</label> |
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<input type="range" id="steps" name="steps" min="1" max="20" value="4" |
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oninput="this.nextElementSibling.value = Number(this.value)"> |
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<output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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4</output> |
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<label class="text-sm font-medium" for="lcm_steps">LCM Inference Steps |
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</label> |
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<input type="range" id="lcm_steps" name="lcm_steps" min="2" max="60" value="50" |
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oninput="this.nextElementSibling.value = Number(this.value)"> |
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<output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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50</output> |
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<label class="text-sm font-medium" for="guidance-scale">Guidance Scale |
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</label> |
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<input type="range" id="guidance-scale" name="guidance-scale" min="0" max="30" step="0.001" |
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value="8.0" oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)"> |
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<output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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8.0</output> |
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<label class="text-sm font-medium" for="strength">Strength</label> |
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<input type="range" id="strength" name="strength" min="0.1" max="1" step="0.001" value="0.50" |
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oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)"> |
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<output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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0.5</output> |
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<label class="text-sm font-medium" for="seed">Seed</label> |
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<input type="number" id="seed" name="seed" value="299792458" |
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class="font-light border border-gray-700 text-right rounded-md p-2 dark:text-black"> |
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<button |
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onclick="document.querySelector('#seed').value = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER)" |
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class="button"> |
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Rand |
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</button> |
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<label class="text-sm font-medium" for="dimension">Image Dimensions</label> |
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<div class="col-span-2 flex gap-2"> |
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<div class="flex gap-1"> |
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<input type="radio" id="dimension512" name="dimension" value="[512,512]" checked |
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class="cursor-pointer"> |
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<label for="dimension512" class="text-sm cursor-pointer">512x512</label> |
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</div> |
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<div class="flex gap-1"> |
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<input type="radio" id="dimension768" name="dimension" value="[768,768]" |
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lass="cursor-pointer"> |
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<label for="dimension768" class="text-sm cursor-pointer">768x768</label> |
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</div> |
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</div> |
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</div> |
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</details> |
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</div> |
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<div class="flex gap-3"> |
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<button id="start" class="button"> |
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Start |
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</button> |
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<button id="stop" class="button"> |
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Stop |
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</button> |
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<button id="snap" disabled class="button ml-auto"> |
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Snapshot |
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</button> |
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</div> |
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<div class="relative rounded-lg border border-slate-300 overflow-hidden"> |
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<img id="player" class="w-full aspect-square rounded-lg " |
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src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="> |
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<div class="absolute top-0 left-0 w-1/4 aspect-square"> |
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<video id="webcam" class="w-full aspect-square relative z-10 object-cover" playsinline autoplay muted |
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loop></video> |
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 448" width="100" |
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class="w-full p-4 absolute top-0 opacity-20 z-0"> |
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<path fill="currentColor" |
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d="M224 256a128 128 0 1 0 0-256 128 128 0 1 0 0 256zm-45.7 48A178.3 178.3 0 0 0 0 482.3 29.7 29.7 0 0 0 29.7 512h388.6a29.7 29.7 0 0 0 29.7-29.7c0-98.5-79.8-178.3-178.3-178.3h-91.4z" /> |
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</svg> |
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</div> |
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</div> |
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</main> |
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</body> |
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</html> |
