Initial commit

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

LICENSE

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README.md

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+---
+title: Vox Upscaler
+emoji: 🔊
+colorFrom: red
+colorTo: yellow
+sdk: static
+pinned: false
+license: apache-2.0
+short_description: 16kHz → 48kHz audio upscaling in your browser (WebGPU/CPU)
+models:
+  - openbmb/VoxCPM2
+custom_headers:
+  cross-origin-embedder-policy: require-corp
+  cross-origin-opener-policy: same-origin
+  cross-origin-resource-policy: cross-origin
+---
+
+# Vox Upscaler
+
+Browser-based 16kHz → 48kHz audio upscaling using the VoxCPM2 streaming VAE. Runs with WebGPU when available, falls back to CPU (WASM).
+
+## Usage
+
+Drop in an audio file, click **Upscale to 48 kHz**, download the result.
+
+## How it works
+
+The VoxCPM2 VAE encodes audio to a latent space and decodes at 48kHz. The ONNX model processes audio in streaming chunks with explicit state passing — no autoregressive loop, just a single forward pass per chunk.
+
+- **WebGPU**: fp32 model, 5s chunks
+- **CPU (WASM)**: fp132 model, 1s chunks, multi-threaded
+
+## Files
+
+```
+vox-upscaler-web/
+├── index.html             # Web UI (self-contained)
+├── server.py              # Dev server with COOP/COEP headers
+├── LICENSE                # License
+└── onnx/
+    ├── vae_stream.onnx           # Streaming VAE (fp32, ~376 MB)
+    ├── meta.json      # State sizes for runtime
+```
+
+## Running locally
+
+```bash
+python server.py 8080
+# open http://localhost:8080/
+```
+
+The COOP/COEP headers are required for SharedArrayBuffer (WASM multi-threading).
+
+## Credits
+
+- **VAE model**: [VoxCPM2](https://huggingface.co/openbmb/VoxCPM2/blob/main/audiovae.pth) by [OpenBMB](https://huggingface.co/openbmb) — Apache-2.0
+- **WebGPU port**: [KevinAHM](https://huggingface.co/KevinAHM)

index.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>Vox Upscaler</title>
+<link rel="preconnect" href="https://fonts.googleapis.com">
+<link href="https://fonts.googleapis.com/css2?family=DM+Mono:wght@400;500&family=Instrument+Sans:wght@400;600;700&display=swap" rel="stylesheet">
+<style>
+*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
+
+:root {
+  --bg: #0a0a0f;
+  --surface: #13131a;
+  --border: #1e1e2a;
+  --text: #e8e8ed;
+  --text-dim: #6b6b7b;
+  --accent: #ff6b35;
+  --accent-glow: rgba(255, 107, 53, 0.15);
+  --green: #34d399;
+  --yellow: #fbbf24;
+  --red: #f87171;
+  --font-body: 'Instrument Sans', sans-serif;
+  --font-mono: 'DM Mono', monospace;
+}
+
+body {
+  background: var(--bg);
+  color: var(--text);
+  font-family: var(--font-body);
+  min-height: 100vh;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.container {
+  width: 100%;
+  max-width: 520px;
+  padding: 2rem;
+}
+
+h1 {
+  font-size: 1.1rem;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 2rem;
+  display: flex;
+  align-items: center;
+  gap: 0.6rem;
+}
+
+h1 .dot {
+  width: 8px; height: 8px;
+  border-radius: 50%;
+  background: var(--accent);
+  box-shadow: 0 0 12px var(--accent);
+}
+
+.drop-zone {
+  border: 2px dashed var(--border);
+  border-radius: 12px;
+  padding: 3rem 2rem;
+  text-align: center;
+  cursor: pointer;
+  transition: border-color 0.2s, background 0.2s;
+  position: relative;
+}
+
+.drop-zone:hover, .drop-zone.dragover {
+  border-color: var(--accent);
+  background: var(--accent-glow);
+}
+
+.drop-zone.has-file {
+  border-style: solid;
+  border-color: var(--border);
+  padding: 1.2rem 1.5rem;
+  text-align: left;
+}
+
+.drop-zone label {
+  font-size: 0.85rem;
+  color: var(--text-dim);
+  display: block;
+  cursor: pointer;
+}
+
+.drop-zone .filename {
+  font-family: var(--font-mono);
+  font-size: 0.9rem;
+  margin-top: 0.3rem;
+  color: var(--text);
+}
+
+.drop-zone input { display: none; }
+
+.status-bar {
+  display: flex;
+  gap: 1.2rem;
+  margin-top: 1.2rem;
+  font-family: var(--font-mono);
+  font-size: 0.75rem;
+  color: var(--text-dim);
+}
+
+.status-bar .chip {
+  display: flex;
+  align-items: center;
+  gap: 0.4rem;
+  background: var(--surface);
+  border: 1px solid var(--border);
+  border-radius: 6px;
+  padding: 0.35rem 0.7rem;
+}
+
+.chip .indicator {
+  width: 6px; height: 6px;
+  border-radius: 50%;
+  background: var(--text-dim);
+}
+
+.chip .indicator.gpu { background: var(--green); box-shadow: 0 0 6px var(--green); }
+.chip .indicator.cpu { background: var(--yellow); box-shadow: 0 0 6px var(--yellow); }
+
+button#process {
+  width: 100%;
+  margin-top: 1.5rem;
+  padding: 0.9rem;
+  border: none;
+  border-radius: 10px;
+  background: var(--accent);
+  color: #fff;
+  font-family: var(--font-body);
+  font-size: 0.9rem;
+  font-weight: 600;
+  cursor: pointer;
+  transition: opacity 0.2s, transform 0.1s;
+}
+
+button#process:hover { opacity: 0.9; }
+button#process:active { transform: scale(0.98); }
+button#process:disabled { opacity: 0.4; cursor: not-allowed; transform: none; }
+
+.progress-wrap {
+  margin-top: 1.5rem;
+  display: none;
+}
+
+.progress-wrap.active { display: block; }
+
+.progress-bar-bg {
+  width: 100%;
+  height: 4px;
+  background: var(--surface);
+  border-radius: 2px;
+  overflow: hidden;
+}
+
+.progress-bar {
+  height: 100%;
+  width: 0%;
+  background: var(--accent);
+  border-radius: 2px;
+  transition: width 0.15s;
+}
+
+.progress-info {
+  display: flex;
+  justify-content: space-between;
+  margin-top: 0.6rem;
+  font-family: var(--font-mono);
+  font-size: 0.75rem;
+  color: var(--text-dim);
+}
+
+.ab-section {
+  margin-top: 1.5rem;
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+}
+
+.ab-player {
+  background: var(--surface);
+  border: 1px solid var(--border);
+  border-radius: 10px;
+  padding: 1rem;
+}
+
+.ab-label {
+  font-family: var(--font-mono);
+  font-size: 0.8rem;
+  font-weight: 500;
+  margin-bottom: 0.5rem;
+  color: var(--text);
+}
+
+.ab-label .ab-sr {
+  color: var(--text-dim);
+  font-weight: 400;
+}
+
+.ab-player audio {
+  width: 100%;
+  border-radius: 6px;
+}
+
+.ab-player a {
+  display: inline-block;
+  margin-top: 0.6rem;
+  font-family: var(--font-mono);
+  font-size: 0.8rem;
+  color: var(--accent);
+  text-decoration: none;
+}
+
+.ab-player a:hover { text-decoration: underline; }
+
+.model-loading {
+  margin-top: 1rem;
+  font-family: var(--font-mono);
+  font-size: 0.75rem;
+  color: var(--text-dim);
+  display: none;
+}
+
+.model-loading.active { display: block; }
+
+footer {
+  margin-top: 3rem;
+  padding-top: 1.2rem;
+  border-top: 1px solid var(--border);
+  font-family: var(--font-mono);
+  font-size: 0.7rem;
+  color: var(--text-dim);
+  display: flex;
+  flex-direction: column;
+  gap: 0.3rem;
+}
+
+footer a {
+  color: var(--text-dim);
+  text-decoration: none;
+  border-bottom: 1px dotted var(--text-dim);
+}
+
+footer a:hover { color: var(--text); border-color: var(--text); }
+
+@keyframes pulse { 0%,100% { opacity: 1; } 50% { opacity: 0.4; } }
+.pulsing { animation: pulse 1.5s ease-in-out infinite; }
+</style>
+</head>
+<body>
+<div class="container">
+  <h1><span class="dot"></span>Vox Upscaler</h1>
+
+  <div class="drop-zone" id="dropZone">
+    <label>Drop an audio file or click to browse</label>
+    <div class="filename" id="fileName" style="display:none"></div>
+    <input type="file" id="fileInput" accept="audio/*">
+  </div>
+
+  <div class="status-bar">
+    <div class="chip"><span class="indicator" id="backendDot"></span><span id="backendLabel">detecting…</span></div>
+    <div class="chip" id="rtfChip" style="display:none">RTFx: <span id="rtfValue">—</span></div>
+    <div class="chip" id="modelChip"><span id="modelStatus">model not loaded</span></div>
+  </div>
+
+  <div class="model-loading" id="modelLoading"></div>
+
+  <button id="process" disabled>Upscale to 48 kHz</button>
+
+  <div class="progress-wrap" id="progressWrap">
+    <div class="progress-bar-bg"><div class="progress-bar" id="progressBar"></div></div>
+    <div class="progress-info">
+      <span id="progressLabel">Processing…</span>
+      <span id="progressPct">0%</span>
+    </div>
+  </div>
+
+  <div class="ab-section" id="abSection" style="display:none">
+    <div class="ab-player">
+      <div class="ab-label">Input<span class="ab-sr" id="inputSrLabel"></span></div>
+      <audio controls id="inputPlayer"></audio>
+    </div>
+    <div class="ab-player" id="outputPanel" style="display:none">
+      <div class="ab-label">Output<span class="ab-sr"> — 48 kHz</span></div>
+      <audio controls id="audioPlayer"></audio>
+      <a id="downloadLink" download>Download WAV</a>
+    </div>
+  </div>
+
+  <footer>
+    <span>VAE model: <a href="https://huggingface.co/openbmb/VoxCPM2/blob/main/audiovae.pth" target="_blank">VoxCPM2</a> by <a href="https://huggingface.co/openbmb" target="_blank">OpenBMB</a> · Apache-2.0</span>
+    <span>WebGPU port by <a href="https://huggingface.co/KevinAHM" target="_blank">KevinAHM</a></span>
+  </footer>
+</div>
+
+<script>
+const HOP = 640;
+const TARGET_SR = 48000;
+const INPUT_SR = 16000;
+const META_URL = 'onnx/meta.json';
+const MODEL_URL = 'onnx/vae_stream.onnx';
+
+let session = null;
+let meta = null;
+let backend = null; // 'webgpu' or 'cpu'
+let fileBuffer = null;
+let fileName = '';
+
+const dropZone = document.getElementById('dropZone');
+const fileInput = document.getElementById('fileInput');
+const fileNameEl = document.getElementById('fileName');
+const processBtn = document.getElementById('process');
+const progressWrap = document.getElementById('progressWrap');
+const progressBar = document.getElementById('progressBar');
+const progressLabel = document.getElementById('progressLabel');
+const progressPct = document.getElementById('progressPct');
+const audioPlayer = document.getElementById('audioPlayer');
+const downloadLink = document.getElementById('downloadLink');
+const backendDot = document.getElementById('backendDot');
+const backendLabel = document.getElementById('backendLabel');
+const rtfChip = document.getElementById('rtfChip');
+const rtfValue = document.getElementById('rtfValue');
+const modelStatus = document.getElementById('modelStatus');
+const modelLoading = document.getElementById('modelLoading');
+
+// -- File handling --
+dropZone.addEventListener('click', () => fileInput.click());
+dropZone.addEventListener('dragover', e => { e.preventDefault(); dropZone.classList.add('dragover'); });
+dropZone.addEventListener('dragleave', () => dropZone.classList.remove('dragover'));
+dropZone.addEventListener('drop', e => { e.preventDefault(); dropZone.classList.remove('dragover'); handleFile(e.dataTransfer.files[0]); });
+fileInput.addEventListener('change', () => { if (fileInput.files[0]) handleFile(fileInput.files[0]); });
+
+function handleFile(file) {
+  fileName = file.name;
+  fileNameEl.textContent = file.name;
+  fileNameEl.style.display = 'block';
+  dropZone.classList.add('has-file');
+  dropZone.querySelector('label').textContent = 'Selected file';
+
+  // Show input player with original file
+  document.getElementById('inputPlayer').src = URL.createObjectURL(file);
+  document.getElementById('abSection').style.display = 'flex';
+  document.getElementById('outputPanel').style.display = 'none';
+
+  // Read sample rate from file header if WAV
+  file.arrayBuffer().then(buf => {
+    fileBuffer = buf;
+    const view = new DataView(buf);
+    let srText = 'Original';
+    // WAV: bytes 24-27 = sample rate (little-endian uint32)
+    if (buf.byteLength > 28) {
+      const riff = String.fromCharCode(view.getUint8(0), view.getUint8(1), view.getUint8(2), view.getUint8(3));
+      if (riff === 'RIFF') {
+        const sr = view.getUint32(24, true);
+        srText = (sr / 1000) + ' kHz';
+      }
+    }
+    document.getElementById('inputSrLabel').textContent = ' — ' + srText;
+    updateBtn();
+  });
+}
+
+function updateBtn() { processBtn.disabled = !(fileBuffer && session); }
+
+// -- Detect backend & load model --
+async function init() {
+  // Detect WebGPU and patch device creation to raise storage buffer limits
+  if (navigator.gpu) {
+    try {
+      const adapter = await navigator.gpu.requestAdapter();
+      if (adapter) {
+        // Patch requestDevice to raise limits ORT doesn't request itself
+        const origRequestDevice = GPUAdapter.prototype.requestDevice;
+        const adapterLimits = adapter.limits;
+        GPUAdapter.prototype.requestDevice = function(desc) {
+          desc = desc || {};
+          desc.requiredLimits = desc.requiredLimits || {};
+          const rl = desc.requiredLimits;
+          rl.maxStorageBuffersPerShaderStage = adapterLimits.maxStorageBuffersPerShaderStage;
+          rl.maxBufferSize = adapterLimits.maxBufferSize;
+          rl.maxStorageBufferBindingSize = adapterLimits.maxStorageBufferBindingSize;
+          console.log(`[VoxUpscaler] patched requestDevice:`, JSON.stringify(rl));
+          return origRequestDevice.call(this, desc);
+        };
+        backend = 'webgpu';
+        backendDot.className = 'indicator gpu';
+        backendLabel.textContent = 'WebGPU';
+      }
+    } catch(e) {}
+  }
+  if (!backend) {
+    backend = 'cpu';
+    backendDot.className = 'indicator cpu';
+    backendLabel.textContent = 'CPU (WASM)';
+  }
+
+  // Load meta
+  modelLoading.classList.add('active');
+  modelLoading.innerHTML = '<span class="pulsing">Loading model metadata…</span>';
+  const resp = await fetch(META_URL);
+  meta = await resp.json();
+
+  // Load ONNX model
+  modelLoading.innerHTML = '<span class="pulsing">Loading ONNX model (fp32, ~376 MB)…</span>';
+  modelStatus.textContent = 'loading…';
+
+  const ep = backend === 'webgpu' ? 'webgpu' : 'wasm';
+  const opts = { executionProviders: [ep] };
+  if (ep === 'wasm') {
+    opts.executionProviders = [{ name: 'wasm', options: { numThreads: navigator.hardwareConcurrency || 4 } }];
+  }
+
+  try {
+    // Fetch as ArrayBuffer to avoid ORT Web external data issues
+    const modelResp = await fetch(MODEL_URL);
+    const modelBuf = await modelResp.arrayBuffer();
+    session = await ort.InferenceSession.create(modelBuf, opts);
+    modelStatus.textContent = 'ready';
+    modelLoading.innerHTML = '✓ Model loaded';
+    modelLoading.classList.remove('active');
+    setTimeout(() => { modelLoading.style.display = 'none'; }, 1500);
+  } catch(e) {
+    // Fallback to wasm if webgpu fails
+    if (backend === 'webgpu') {
+      backend = 'cpu';
+      backendDot.className = 'indicator cpu';
+      backendLabel.textContent = 'CPU (WASM)';
+      modelLoading.innerHTML = '<span class="pulsing">WebGPU failed, falling back to CPU (fp32)…</span>';
+      session = await ort.InferenceSession.create(MODEL_URL, {
+        executionProviders: [{ name: 'wasm', options: { numThreads: navigator.hardwareConcurrency || 4 } }]
+      });
+      modelStatus.textContent = 'ready';
+      modelLoading.innerHTML = '✓ Model loaded (CPU fallback)';
+    } else {
+      modelLoading.innerHTML = 'Failed to load model: ' + e.message;
+      modelStatus.textContent = 'error';
+      return;
+    }
+  }
+  updateBtn();
+}
+
+// -- Decode audio to mono 16kHz Float32 --
+async function decodeToMono16k(arrayBuffer) {
+  const audioCtx = new OfflineAudioContext(1, 1, INPUT_SR);
+  const decoded = await audioCtx.decodeAudioData(arrayBuffer.slice(0));
+  const origSr = decoded.sampleRate;
+  const origData = decoded.getChannelData(0);
+
+  // Resample to 16kHz
+  const ratio = INPUT_SR / origSr;
+  const outLen = Math.round(origData.length * ratio);
+  const ctx2 = new OfflineAudioContext(1, outLen, INPUT_SR);
+  const src = ctx2.createBufferSource();
+  const buf = ctx2.createBuffer(1, origData.length, origSr);
+  buf.getChannelData(0).set(origData);
+  src.buffer = buf;
+  src.connect(ctx2.destination);
+  src.start();
+  const rendered = await ctx2.startRendering();
+  return rendered.getChannelData(0);
+}
+
+// -- Process --
+processBtn.addEventListener('click', async () => {
+  if (!fileBuffer || !session) return;
+  processBtn.disabled = true;
+  document.getElementById('outputPanel').style.display = 'none';
+  progressWrap.classList.add('active');
+  progressBar.style.width = '0%';
+  progressPct.textContent = '0%';
+  progressLabel.textContent = 'Decoding input…';
+
+  const audio16k = await decodeToMono16k(fileBuffer);
+  const totalSamples = audio16k.length;
+  const audioDuration = totalSamples / INPUT_SR;
+
+  // Chunk sizing: CPU=1000ms, GPU=30s
+  const chunkMs = backend === 'webgpu' ? 5000 : 1000;
+  const chunkHops = Math.max(1, Math.floor(chunkMs / 1000 * INPUT_SR / HOP));
+  const chunkSamples = chunkHops * HOP;
+
+  // Pad to HOP boundary
+  const pad = (HOP - totalSamples % HOP) % HOP;
+  let padded;
+  if (pad > 0) {
+    padded = new Float32Array(totalSamples + pad);
+    padded.set(audio16k);
+  } else {
+    padded = audio16k;
+  }
+  const totalPadded = padded.length;
+
+  // Init state
+  let state = new Float32Array(meta.total_state_size);
+  const outputs = [];
+  const numChunks = Math.ceil(totalPadded / chunkSamples);
+  let chunkIdx = 0;
+
+  progressLabel.textContent = 'Processing…';
+  const t0 = performance.now();
+
+  const srIdx = new Int32Array([TARGET_SR]);
+
+  for (let pos = 0; pos < totalPadded; pos += chunkSamples) {
+    const end = Math.min(pos + chunkSamples, totalPadded);
+    const chunk = padded.slice(pos, end);
+
+    // Shape: [1, 1, samples]
+    const audioTensor = new ort.Tensor('float32', chunk, [1, 1, chunk.length]);
+    const srTensor = new ort.Tensor('int32', srIdx, [1]);
+    const stateTensor = new ort.Tensor('float32', state, [meta.total_state_size]);
+
+    const result = await session.run({
+      audio: audioTensor,
+      sr_bin_idx: srTensor,
+      state_in: stateTensor,
+    });
+
+    outputs.push(new Float32Array(result.audio_out.data));
+    state = new Float32Array(result.state_out.data);
+
+    chunkIdx++;
+    const pct = Math.round(chunkIdx / numChunks * 100);
+    progressBar.style.width = pct + '%';
+    progressPct.textContent = pct + '%';
+
+    const elapsed = (performance.now() - t0) / 1000;
+    const processedDur = end / INPUT_SR;
+    const rtf = processedDur / elapsed;
+    rtfChip.style.display = 'flex';
+    rtfValue.textContent = rtf.toFixed(3) + 'x';
+  }
+
+  const totalElapsed = (performance.now() - t0) / 1000;
+  const finalRtf = audioDuration / totalElapsed;
+  rtfValue.textContent = finalRtf.toFixed(3) + 'x';
+  progressLabel.textContent = `Done in ${totalElapsed.toFixed(1)}s`;
+  progressPct.textContent = '100%';
+  progressBar.style.width = '100%';
+
+  // Concatenate outputs
+  const totalOut = outputs.reduce((s, a) => s + a.length, 0);
+  const fullOutput = new Float32Array(totalOut);
+  let off = 0;
+  for (const o of outputs) { fullOutput.set(o, off); off += o.length; }
+
+  // Trim to expected length
+  const expectedLen = Math.round(audioDuration * TARGET_SR);
+  const trimmed = fullOutput.slice(0, expectedLen);
+
+  // Encode WAV
+  const wav = encodeWav(trimmed, TARGET_SR);
+  const blob = new Blob([wav], { type: 'audio/wav' });
+  const url = URL.createObjectURL(blob);
+
+  audioPlayer.src = url;
+  const outName = fileName.replace(/\.[^.]+$/, '') + '_48k.wav';
+  downloadLink.href = url;
+  downloadLink.download = outName;
+  downloadLink.textContent = 'Download ' + outName;
+  document.getElementById('outputPanel').style.display = 'block';
+  processBtn.disabled = false;
+});
+
+function encodeWav(samples, sr) {
+  const len = samples.length;
+  const buf = new ArrayBuffer(44 + len * 2);
+  const view = new DataView(buf);
+  const writeStr = (o, s) => { for (let i = 0; i < s.length; i++) view.setUint8(o + i, s.charCodeAt(i)); };
+  writeStr(0, 'RIFF');
+  view.setUint32(4, 36 + len * 2, true);
+  writeStr(8, 'WAVE');
+  writeStr(12, 'fmt ');
+  view.setUint32(16, 16, true);
+  view.setUint16(20, 1, true);
+  view.setUint16(22, 1, true);
+  view.setUint32(24, sr, true);
+  view.setUint32(28, sr * 2, true);
+  view.setUint16(32, 2, true);
+  view.setUint16(34, 16, true);
+  writeStr(36, 'data');
+  view.setUint32(40, len * 2, true);
+  for (let i = 0; i < len; i++) {
+    let s = Math.max(-1, Math.min(1, samples[i]));
+    view.setInt16(44 + i * 2, s < 0 ? s * 0x8000 : s * 0x7FFF, true);
+  }
+  return buf;
+}
+
+// Load ORT and init
+const script = document.createElement('script');
+script.src = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/ort.min.js';
+script.crossOrigin = 'anonymous';
+script.onload = () => {
+  ort.env.wasm.numThreads = navigator.hardwareConcurrency || 4;
+  ort.env.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/';
+  init();
+};
+document.head.appendChild(script);
+</script>
+</body>
+</html>

onnx/meta.json

@@ -0,0 +1 @@
+{"enc_state_size": 167686, "dec_state_size": 170816, "total_state_size": 338502}

onnx/vae_stream.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bf7509e655009f0740da3a80efe37c9cded555261c8893732446fe0223349b9
+size 376433378

server.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+"""
+Simple HTTP server with Cross-Origin Isolation headers for SharedArrayBuffer.
+This enables multi-threading in ONNX Runtime Web for much better performance.
+"""
+
+import http.server
+import socketserver
+import sys
+
+PORT = int(sys.argv[1]) if len(sys.argv) > 1 else 8080
+
+
+class CORSRequestHandler(http.server.SimpleHTTPRequestHandler):
+    def end_headers(self):
+        # Required for SharedArrayBuffer (enables multi-threading in WASM)
+        self.send_header('Cross-Origin-Opener-Policy', 'same-origin')
+        self.send_header('Cross-Origin-Embedder-Policy', 'require-corp')
+        # Allow loading from CDN
+        self.send_header('Access-Control-Allow-Origin', '*')
+        super().end_headers()
+
+    def do_OPTIONS(self):
+        self.send_response(200)
+        self.end_headers()
+
+
+if __name__ == '__main__':
+    class ReusableTCPServer(socketserver.TCPServer):
+        allow_reuse_address = True
+    with ReusableTCPServer(("", PORT), CORSRequestHandler) as httpd:
+        print(f"Serving at http://localhost:{PORT}")
+        print("Cross-Origin Isolation headers enabled for multi-threading")
+        print("Press Ctrl+C to stop")
+        try:
+            httpd.serve_forever()
+        except KeyboardInterrupt:
+            print("\nShutting down...")