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<!doctype html>
<html>

<head>
    <meta charset="UTF-8">
    <title>Real-Time Latent Consistency Model</title>
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script
        src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]/piexif.min.js"></script>
    <script src="https://cdn.tailwindcss.com"></script>
    <style type="text/tailwindcss">
        .button {
          @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
        }
    </style>
    <script type="module">
        const getValue = (id) => {
            const el = document.querySelector(`${id}`)
            if (el.type === "checkbox")
                return el.checked;
            return el.value;
        }

        const startBtn = document.querySelector("#start");
        const stopBtn = document.querySelector("#stop");
        const videoEl = document.querySelector("#webcam");
        const imageEl = document.querySelector("#player");
        const queueSizeEl = document.querySelector("#queue_size");
        const errorEl = document.querySelector("#error");
        const snapBtn = document.querySelector("#snap");
        const webcamsEl = document.querySelector("#webcams");

        function LCMLive(webcamVideo, liveImage) {
            let websocket;

            async function start() {
                return new Promise((resolve, reject) => {
                    const websocketURL = `${window.location.protocol === "https:" ? "wss" : "ws"
                        }:${window.location.host}/ws`;

                    const socket = new WebSocket(websocketURL);
                    socket.onopen = () => {
                        console.log("Connected to websocket");
                    };
                    socket.onclose = () => {
                        console.log("Disconnected from websocket");
                        stop();
                        resolve({ "status": "disconnected" });
                    };
                    socket.onerror = (err) => {
                        console.error(err);
                        reject(err);
                    };
                    socket.onmessage = (event) => {
                        const data = JSON.parse(event.data);
                        switch (data.status) {
                            case "success":
                                break;
                            case "start":
                                const userId = data.userId;
                                initVideoStream(userId);
                                break;
                            case "timeout":
                                stop();
                                resolve({ "status": "timeout" });
                            case "error":
                                stop();
                                reject(data.message);

                        }
                    };
                    websocket = socket;
                })
            }
            function switchCamera() {
                const constraints = {
                    audio: false,
                    video: { width: 1024, height: 1024, deviceId: mediaDevices[webcamsEl.value].deviceId }
                };
                navigator.mediaDevices
                    .getUserMedia(constraints)
                    .then((mediaStream) => {
                        webcamVideo.removeEventListener("timeupdate", videoTimeUpdateHandler);
                        webcamVideo.srcObject = mediaStream;
                        webcamVideo.onloadedmetadata = () => {
                            webcamVideo.play();
                            webcamVideo.addEventListener("timeupdate", videoTimeUpdateHandler);
                        };
                    })
                    .catch((err) => {
                        console.error(`${err.name}: ${err.message}`);
                    });
            }

            async function videoTimeUpdateHandler() {
                const dimension = getValue("input[name=dimension]:checked");
                const [WIDTH, HEIGHT] = JSON.parse(dimension);

                const canvas = new OffscreenCanvas(WIDTH, HEIGHT);
                const videoW = webcamVideo.videoWidth;
                const videoH = webcamVideo.videoHeight;
                const aspectRatio = WIDTH / HEIGHT;

                const ctx = canvas.getContext("2d");
                ctx.drawImage(webcamVideo, videoW / 2 - videoH * aspectRatio / 2, 0, videoH * aspectRatio, videoH, 0, 0, WIDTH, HEIGHT)
                const blob = await canvas.convertToBlob({ type: "image/jpeg", quality: 1 });
                websocket.send(blob);
                websocket.send(JSON.stringify({
                    "seed": getValue("#seed"),
                    "prompt": getValue("#prompt"),
                    "guidance_scale": getValue("#guidance-scale"),
                    "strength": getValue("#strength"),
                    "steps": getValue("#steps"),
                    "lcm_steps": getValue("#lcm_steps"),
                    "width": WIDTH,
                    "height": HEIGHT,
                }));
            }
            let mediaDevices = [];
            async function initVideoStream(userId) {
                liveImage.src = `/stream/${userId}`;
                await navigator.mediaDevices.enumerateDevices()
                    .then(devices => {
                        const cameras = devices.filter(device => device.kind === 'videoinput');
                        mediaDevices = cameras;
                        webcamsEl.innerHTML = "";
                        cameras.forEach((camera, index) => {
                            const option = document.createElement("option");
                            option.value = index;
                            option.innerText = camera.label;
                            webcamsEl.appendChild(option);
                            option.selected = index === 0;
                        });
                        webcamsEl.addEventListener("change", switchCamera);
                    })
                    .catch(err => {
                        console.error(err);
                    });
                const constraints = {
                    audio: false,
                    video: { width: 1024, height: 1024, deviceId: mediaDevices[0].deviceId }
                };
                navigator.mediaDevices
                    .getUserMedia(constraints)
                    .then((mediaStream) => {
                        webcamVideo.srcObject = mediaStream;
                        webcamVideo.onloadedmetadata = () => {
                            webcamVideo.play();
                            webcamVideo.addEventListener("timeupdate", videoTimeUpdateHandler);
                        };
                    })
                    .catch((err) => {
                        console.error(`${err.name}: ${err.message}`);
                    });
            }

            async function stop() {
                websocket.close();
                navigator.mediaDevices.getUserMedia({ video: true }).then((mediaStream) => {
                    mediaStream.getTracks().forEach((track) => track.stop());
                });
                webcamVideo.removeEventListener("timeupdate", videoTimeUpdateHandler);
                webcamsEl.removeEventListener("change", switchCamera);
                webcamVideo.srcObject = null;
            }
            return {
                start,
                stop
            }
        }
        function toggleMessage(type) {
            errorEl.hidden = false;
            errorEl.scrollIntoView();
            switch (type) {
                case "error":
                    errorEl.innerText = "To many users are using the same GPU, please try again later.";
                    errorEl.classList.toggle("bg-red-300", "text-red-900");
                    break;
                case "success":
                    errorEl.innerText = "Your session has ended, please start a new one.";
                    errorEl.classList.toggle("bg-green-300", "text-green-900");
                    break;
            }
            setTimeout(() => {
                errorEl.hidden = true;
            }, 2000);
        }
        function snapImage() {
            try {
                const zeroth = {};
                const exif = {};
                const gps = {};
                zeroth[piexif.ImageIFD.Make] = "LCM Image-to-Image";
                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")}`;
                zeroth[piexif.ImageIFD.Software] = "https://github.com/radames/Real-Time-Latent-Consistency-Model";

                exif[piexif.ExifIFD.DateTimeOriginal] = new Date().toISOString();

                const exifObj = { "0th": zeroth, "Exif": exif, "GPS": gps };
                const exifBytes = piexif.dump(exifObj);

                const canvas = document.createElement("canvas");
                canvas.width = imageEl.naturalWidth;
                canvas.height = imageEl.naturalHeight;
                const ctx = canvas.getContext("2d");
                ctx.drawImage(imageEl, 0, 0);
                const dataURL = canvas.toDataURL("image/jpeg");
                const withExif = piexif.insert(exifBytes, dataURL);

                const a = document.createElement("a");
                a.href = withExif;
                a.download = `lcm_txt_2_img${Date.now()}.png`;
                a.click();
            } catch (err) {
                console.log(err);
            }
        }


        const lcmLive = LCMLive(videoEl, imageEl);
        startBtn.addEventListener("click", async () => {
            try {
                startBtn.disabled = true;
                snapBtn.disabled = false;
                const res = await lcmLive.start();
                startBtn.disabled = false;
                if (res.status === "timeout")
                    toggleMessage("success")
            } catch (err) {
                console.log(err);
                toggleMessage("error")
                startBtn.disabled = false;
            }
        });
        stopBtn.addEventListener("click", () => {
            lcmLive.stop();
        });
        window.addEventListener("beforeunload", () => {
            lcmLive.stop();
        });
        snapBtn.addEventListener("click", snapImage);
        setInterval(() =>
            fetch("/queue_size")
                .then((res) => res.json())
                .then((data) => {
                    queueSizeEl.innerText = data.queue_size;
                })
                .catch((err) => {
                    console.log(err);
                })
            , 5000);
    </script>
</head>

<body class="text-black dark:bg-gray-900 dark:text-white">
    <div class="fixed right-2 top-2 p-4 font-bold text-sm rounded-lg max-w-xs text-center" id="error">
    </div>
    <main class="container mx-auto px-4 py-4 max-w-4xl flex flex-col gap-4">
        <article class="text-center max-w-xl mx-auto">
            <h1 class="text-3xl font-bold">Real-Time Latent Consistency Model</h1>
            <h2 class="text-2xl font-bold mb-4">Image to Image</h2>
            <p class="text-sm">
                This demo showcases
                <a href="https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7" target="_blank"
                    class="text-blue-500 underline hover:no-underline">LCM</a> Image to Image pipeline
                using
                <a href="https://github.com/huggingface/diffusers/tree/main/examples/community#latent-consistency-pipeline"
                    target="_blank" class="text-blue-500 underline hover:no-underline">Diffusers</a> with a MJPEG
                stream server.
            </p>
            <p class="text-sm">
                There are <span id="queue_size" class="font-bold">0</span> user(s) sharing the same GPU, affecting
                real-time performance. Maximum queue size is 4. <a
                    href="https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model?duplicate=true"
                    target="_blank" class="text-blue-500 underline hover:no-underline">Duplicate</a> and run it on your
                own GPU.
            </p>
        </article>
        <div>
            <h2 class="font-medium">Prompt</h2>
            <p class="text-sm text-gray-500">
                Change the prompt to generate different images, accepts <a
                    href="https://github.com/damian0815/compel/blob/main/doc/syntax.md" target="_blank"
                    class="text-blue-500 underline hover:no-underline">Compel</a> syntax.
            </p>
            <div class="flex text-normal px-1 py-1 border border-gray-700 rounded-md items-center">
                <textarea type="text" id="prompt" class="font-light w-full px-3 py-2 mx-1  outline-none dark:text-black"
                    title="Prompt, this is an example, feel free to modify"
                    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>
            </div>

        </div>
        <div class="">
            <details>
                <summary class="font-medium cursor-pointer">Advanced Options</summary>
                <div class="grid grid-cols-3 sm:grid-cols-6 items-center gap-3 py-3">
                    <label for="webcams" class="text-sm font-medium">Camera Options: </label>
                    <select id="webcams" class="text-sm border-2 border-gray-500 rounded-md font-light dark:text-black">
                    </select>
                    <div></div>
                    <label class="text-sm font-medium " for="steps">Inference Steps
                    </label>
                    <input type="range" id="steps" name="steps" min="1" max="20" value="4"
                        oninput="this.nextElementSibling.value = Number(this.value)">
                    <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                        4</output>
                    <!--  -->
                    <label class="text-sm font-medium" for="lcm_steps">LCM Inference Steps
                    </label>
                    <input type="range" id="lcm_steps" name="lcm_steps" min="2" max="60" value="50"
                        oninput="this.nextElementSibling.value = Number(this.value)">
                    <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                        50</output>
                    <!--  -->
                    <label class="text-sm font-medium" for="guidance-scale">Guidance Scale
                    </label>
                    <input type="range" id="guidance-scale" name="guidance-scale" min="0" max="30" step="0.001"
                        value="8.0" oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)">
                    <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                        8.0</output>
                    <!--  -->
                    <label class="text-sm font-medium" for="strength">Strength</label>
                    <input type="range" id="strength" name="strength" min="0.1" max="1" step="0.001" value="0.50"
                        oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)">
                    <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                        0.5</output>
                    <!--  -->
                    <label class="text-sm font-medium" for="seed">Seed</label>
                    <input type="number" id="seed" name="seed" value="299792458"
                        class="font-light border border-gray-700 text-right rounded-md p-2 dark:text-black">
                    <button
                        onclick="document.querySelector('#seed').value = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER)"
                        class="button">
                        Rand
                    </button>
                    <!--  -->
                    <!--  -->
                    <label class="text-sm font-medium" for="dimension">Image Dimensions</label>
                    <div class="col-span-2 flex gap-2">
                        <div class="flex gap-1">
                            <input type="radio" id="dimension512" name="dimension" value="[512,512]" checked
                                class="cursor-pointer">
                            <label for="dimension512" class="text-sm cursor-pointer">512x512</label>
                        </div>
                        <div class="flex gap-1">
                            <input type="radio" id="dimension768" name="dimension" value="[768,768]"
                                lass="cursor-pointer">
                            <label for="dimension768" class="text-sm cursor-pointer">768x768</label>
                        </div>
                    </div>
                    <!--  -->
                </div>
            </details>
        </div>
        <div class="flex gap-3">
            <button id="start" class="button">
                Start
            </button>
            <button id="stop" class="button">
                Stop
            </button>
            <button id="snap" disabled class="button ml-auto">
                Snapshot
            </button>
        </div>
        <div class="relative rounded-lg border border-slate-300 overflow-hidden">
            <img id="player" class="w-full aspect-square rounded-lg "
                src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=">
            <div class="absolute top-0 left-0 w-1/4 aspect-square">
                <video id="webcam" class="w-full aspect-square relative z-10 object-cover" playsinline autoplay muted
                    loop></video>
                <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 448" width="100"
                    class="w-full p-4 absolute top-0 opacity-20 z-0">
                    <path fill="currentColor"
                        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" />
                </svg>
            </div>
        </div>
    </main>
</body>

</html>