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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/piexifjs@1.0.6/piexif.min.js"></script>
    <script src="https://cdn.tailwindcss.com"></script>
    <script type="module">

        const seedEl = document.querySelector("#seed");
        const promptEl = document.querySelector("#prompt");
        const guidanceEl = document.querySelector("#guidance-scale");
        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");

        function LCMLive(promptEl, liveImage, seedEl, guidanceEl) {
            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;
                                initPromptStream(userId);
                                break;
                            case "timeout":
                                stop();
                                resolve({ "status": "timeout" });
                            case "error":
                                stop();
                                reject(data.message);
                        }
                    };
                    websocket = socket;
                })
            }

            async function promptUpdateStream() {
                const prompt = promptEl.value;
                const seed = seedEl.value;
                const guidance_scale = guidanceEl.value;
                websocket.send(JSON.stringify({
                    prompt: prompt,
                    seed: seed,
                    guidance_scale: guidance_scale,
                }));
            }

            function initPromptStream(userId) {
                liveImage.src = `/stream/${userId}`;
                promptEl.addEventListener("input", promptUpdateStream);
                seedEl.addEventListener("input", promptUpdateStream);
                guidanceEl.addEventListener("change", promptUpdateStream);
            }

            async function stop() {
                websocket.close();
                promptEl.removeEventListener("input", promptUpdateStream);
                seedEl.removeEventListener("input", promptUpdateStream);
                guidanceEl.removeEventListener("change", promptUpdateStream);
            }
            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 Text-to-Image";
                zeroth[piexif.ImageIFD.ImageDescription] = `prompt: ${promptEl.value} | seed: ${seedEl.value} | guidance: ${guidanceEl.value}`;
                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(promptEl, imageEl, seedEl, guidanceEl);
        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>
    <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">Text 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> Text to Image model
                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 10. <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">
                Start your session and type your prompt here, 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"
                    title="Start your session and type your prompt here, you can see the result in real-time."
                    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 max-w-md items-center gap-3 py-3">
                    <label class="text-sm font-medium" for="guidance-scale">Guidance Scale
                    </label>
                    <input type="range" id="guidance-scale" name="guidance-scale" min="1" 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="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">
                    <button
                        onclick="document.querySelector('#seed').value = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER); document.querySelector('#seed').dispatchEvent(new Event('input'));"
                        class="bg-gray-700 hover:bg-gray-800 text-white font-normal py-1 w-[50px] rounded disabled:bg-gray-300 disabled:cursor-not-allowed text-sm">
                        Rand
                    </button>
                </div>
            </details>
        </div>
        <div class="flex gap-3">
            <button id="start"
                class="bg-gray-700 hover:bg-gray-800 text-white font-normal p-2 rounded disabled:bg-gray-300 disabled:cursor-not-allowed">
                Start
            </button>
            <button id="stop"
                class="bg-gray-700 hover:bg-gray-800 text-white font-normal p-2 rounded disabled:bg-gray-300 disabled:cursor-not-allowed">
                Stop
            </button>
            <button id="snap" disabled
                class="bg-gray-700 hover:bg-gray-800 text-white font-normal p-2  rounded disabled:bg-gray-300 disabled:cursor-not-allowed 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>
    </main>
</body>

</html>