File size: 15,119 Bytes
94890d6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
<!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>
    <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 paramsEl = document.querySelector("#params");
        const promptEl = document.querySelector("#prompt");
        paramsEl.addEventListener("submit", (e) => e.preventDefault());
        function LCMLive(promptEl, paramsEl, 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;
                                initPromptStream(userId);
                                break;
                            case "timeout":
                                stop();
                                resolve({ "status": "timeout" });
                            case "error":
                                stop();
                                reject(data.message);
                        }
                    };
                    websocket = socket;
                })
            }

            async function promptUpdateStream(e) {
                const dimension = getValue("input[name=dimension]:checked");
                const [WIDTH, HEIGHT] = JSON.parse(dimension);
                websocket.send(JSON.stringify({
                    "seed": getValue("#seed"),
                    "prompt": getValue("#prompt"),
                    "guidance_scale": getValue("#guidance-scale"),
                    "steps": getValue("#steps"),
                    "lcm_steps": getValue("#lcm_steps"),
                    "width": WIDTH,
                    "height": HEIGHT,
                }));
            }
            function debouceInput(fn, delay) {
                let timer;
                return function (...args) {
                    clearTimeout(timer);
                    timer = setTimeout(() => {
                        fn(...args);
                    }, delay);
                }
            }
            const debouncedInput = debouceInput(promptUpdateStream, 200);
            function initPromptStream(userId) {
                liveImage.src = `/stream/${userId}`;
                paramsEl.addEventListener("change", debouncedInput);
                promptEl.addEventListener("input", debouncedInput);
            }

            async function stop() {
                websocket.close();
                paramsEl.removeEventListener("change", debouncedInput);
                promptEl.removeEventListener("input", debouncedInput);
            }
            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: ${getValue("#prompt")} | seed: ${getValue("#seed")} | guidance_scale: ${getValue("#guidance-scale")} | 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(promptEl, paramsEl, 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">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 dark:text-gray-400">
                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 dark:text-black"
                    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>
                <form class="grid grid-cols-3 items-center gap-3 py-3" id="params" action="">
                    <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]"
                                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 class="flex gap-1">
                            <input type="radio" id="dimension1024" name="dimension" value="[1024,1024]" checked
                                class="cursor-pointer">
                            <label for="dimension1024" class="text-sm cursor-pointer">1024x1024</label>
                        </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="5" step="0.0001"
                        value="0.8" 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 dark:text-black">
                    <button class="button"
                        onclick="document.querySelector('#seed').value = Math.floor(Math.random() * 1000000000); document.querySelector('#params').dispatchEvent(new Event('change'))">
                        Rand
                    </button>
                    <!--  -->
                </form>
            </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>
    </main>
</body>

</html>