feat: optimize Apple NPU backend with safety checker detection, dynamic CFG enforcement, and improved model loading feedback
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@@ -1178,23 +1178,23 @@
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|
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"node_modules/@tauri-apps/cli-win32-x64-msvc": {
|
||||
"version": "2.11.2",
|
||||
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-win32-x64-msvc/-/cli-win32-x64-msvc-2.11.2.tgz",
|
||||
"integrity": "sha512-d2JchlFIpZevZVReyqhQOekJmb1UH3rhZ5VX6sH3ty9ETE0TKQavpihvoScUXfKKpW6HZC0MrFGRU0ZtD+w3gA==",
|
||||
"version": "2.11.3",
|
||||
"resolved": "https://registry.npmjs.org/@tauri-apps/cli-win32-x64-msvc/-/cli-win32-x64-msvc-2.11.3.tgz",
|
||||
"integrity": "sha512-GlciF75GdbseajOyib2aCHwE3BXIqZ1liGKWLFRvCdN5wm8h8hFssEVKQ/6E+2jsMLg9v7LCTb983YFnn0QSww==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
@@ -1461,9 +1461,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/baseline-browser-mapping": {
|
||||
"version": "2.10.37",
|
||||
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.37.tgz",
|
||||
"integrity": "sha512-girxaJ7WZssDOFhzCGZTDKoTa1gk6A1TbflaYTpykLJ4UU9Fz9kx1aREM8JCuoVHbL8X8T/mJg7w2oYSq72Oig==",
|
||||
"version": "2.10.38",
|
||||
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.38.tgz",
|
||||
"integrity": "sha512-31/02mVB4yuQU6adKk5SlY6m+mxDwUq5KZkyYgnLrrKl7TEm1+3PyDtDBz2kOv/wxZz41GHsvV1A/u6RmiyBvw==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"bin": {
|
||||
@@ -1474,9 +1474,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/browserslist": {
|
||||
"version": "4.28.2",
|
||||
"resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.28.2.tgz",
|
||||
"integrity": "sha512-48xSriZYYg+8qXna9kwqjIVzuQxi+KYWp2+5nCYnYKPTr0LvD89Jqk2Or5ogxz0NUMfIjhh2lIUX/LyX9B4oIg==",
|
||||
"version": "4.28.4",
|
||||
"resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.28.4.tgz",
|
||||
"integrity": "sha512-MTc8i/x9jBQd1iMw2CFGS+rwMa07eYjLR0CCTLDACl9xhxy+nIs3KeML/biicXtk9JrZ6dnnTatmc7ErPXIxqw==",
|
||||
"dev": true,
|
||||
"funding": [
|
||||
{
|
||||
@@ -1494,10 +1494,10 @@
|
||||
],
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"baseline-browser-mapping": "^2.10.12",
|
||||
"caniuse-lite": "^1.0.30001782",
|
||||
"electron-to-chromium": "^1.5.328",
|
||||
"node-releases": "^2.0.36",
|
||||
"baseline-browser-mapping": "^2.10.38",
|
||||
"caniuse-lite": "^1.0.30001799",
|
||||
"electron-to-chromium": "^1.5.376",
|
||||
"node-releases": "^2.0.48",
|
||||
"update-browserslist-db": "^1.2.3"
|
||||
},
|
||||
"bin": {
|
||||
@@ -1554,9 +1554,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/electron-to-chromium": {
|
||||
"version": "1.5.372",
|
||||
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.372.tgz",
|
||||
"integrity": "sha512-M3yhbAlilnwqC8D21t28UCDGHyitShTmmLRU/H+b74P6Ski16Nb9HONYEaVpMj/pwC7BEo5B95FpjODLCWbtfA==",
|
||||
"version": "1.5.378",
|
||||
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.378.tgz",
|
||||
"integrity": "sha512-VinvOAuuPmdD1guEgGv5f2Qp7/vlfqOrUOMYNnOD4wj3pit8kRsQHzfIf6teyUGWo15Tg5+bOJaRunvyltpVWQ==",
|
||||
"dev": true,
|
||||
"license": "ISC"
|
||||
},
|
||||
@@ -1715,9 +1715,9 @@
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/nanoid": {
|
||||
"version": "3.3.12",
|
||||
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.12.tgz",
|
||||
"integrity": "sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==",
|
||||
"version": "3.3.15",
|
||||
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.15.tgz",
|
||||
"integrity": "sha512-y7Wygv/7mEOvxTuEQDB8StXdMRBWf1kR/tlhAzBRUFkB2jfcLOAxO/SHmOO2zgz1pVgK29/kyupn059/bCHdjA==",
|
||||
"dev": true,
|
||||
"funding": [
|
||||
{
|
||||
@@ -1734,9 +1734,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/node-releases": {
|
||||
"version": "2.0.47",
|
||||
"resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.47.tgz",
|
||||
"integrity": "sha512-Uzmd6LXpouKo8EUK68IjH4+E01w/hXyV3R3g/geCJo+rXLNfh1xucB+LOzYEOQPSiUK3h/xZf0cQGcSsmyL2Og==",
|
||||
"version": "2.0.49",
|
||||
"resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.49.tgz",
|
||||
"integrity": "sha512-f06bl1D+8ZDkn2oOQQKAh5/otFWqVnM1Q5oerA8Pex7UfT66Tx4IPHIqVVFKqFT3FUtaDstdgkM7yT7JWhqxfw==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
@@ -1824,9 +1824,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/rollup": {
|
||||
"version": "4.62.0",
|
||||
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.62.0.tgz",
|
||||
"integrity": "sha512-nc72Wgq62I7rtDV4izT5/aaS0zxy3kttkinf9586ApknY3jZO9NYsmtc24fUckA0X7Q2v+ML4a15pdUlV5V/jA==",
|
||||
"version": "4.62.2",
|
||||
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.62.2.tgz",
|
||||
"integrity": "sha512-RFnrW4lhXA3s3eqHDZvN654g8OTjzRfqpIRJYczCGB6HzphckVAi/Qh4tbPUbRuDi7s1Llv8g/NspLkttY3gTA==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1840,31 +1840,31 @@
|
||||
"npm": ">=8.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@rollup/rollup-android-arm-eabi": "4.62.0",
|
||||
"@rollup/rollup-android-arm64": "4.62.0",
|
||||
"@rollup/rollup-darwin-arm64": "4.62.0",
|
||||
"@rollup/rollup-darwin-x64": "4.62.0",
|
||||
"@rollup/rollup-freebsd-arm64": "4.62.0",
|
||||
"@rollup/rollup-freebsd-x64": "4.62.0",
|
||||
"@rollup/rollup-linux-arm-gnueabihf": "4.62.0",
|
||||
"@rollup/rollup-linux-arm-musleabihf": "4.62.0",
|
||||
"@rollup/rollup-linux-arm64-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-arm64-musl": "4.62.0",
|
||||
"@rollup/rollup-linux-loong64-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-loong64-musl": "4.62.0",
|
||||
"@rollup/rollup-linux-ppc64-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-ppc64-musl": "4.62.0",
|
||||
"@rollup/rollup-linux-riscv64-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-riscv64-musl": "4.62.0",
|
||||
"@rollup/rollup-linux-s390x-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-x64-gnu": "4.62.0",
|
||||
"@rollup/rollup-linux-x64-musl": "4.62.0",
|
||||
"@rollup/rollup-openbsd-x64": "4.62.0",
|
||||
"@rollup/rollup-openharmony-arm64": "4.62.0",
|
||||
"@rollup/rollup-win32-arm64-msvc": "4.62.0",
|
||||
"@rollup/rollup-win32-ia32-msvc": "4.62.0",
|
||||
"@rollup/rollup-win32-x64-gnu": "4.62.0",
|
||||
"@rollup/rollup-win32-x64-msvc": "4.62.0",
|
||||
"@rollup/rollup-android-arm-eabi": "4.62.2",
|
||||
"@rollup/rollup-android-arm64": "4.62.2",
|
||||
"@rollup/rollup-darwin-arm64": "4.62.2",
|
||||
"@rollup/rollup-darwin-x64": "4.62.2",
|
||||
"@rollup/rollup-freebsd-arm64": "4.62.2",
|
||||
"@rollup/rollup-freebsd-x64": "4.62.2",
|
||||
"@rollup/rollup-linux-arm-gnueabihf": "4.62.2",
|
||||
"@rollup/rollup-linux-arm-musleabihf": "4.62.2",
|
||||
"@rollup/rollup-linux-arm64-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-arm64-musl": "4.62.2",
|
||||
"@rollup/rollup-linux-loong64-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-loong64-musl": "4.62.2",
|
||||
"@rollup/rollup-linux-ppc64-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-ppc64-musl": "4.62.2",
|
||||
"@rollup/rollup-linux-riscv64-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-riscv64-musl": "4.62.2",
|
||||
"@rollup/rollup-linux-s390x-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-x64-gnu": "4.62.2",
|
||||
"@rollup/rollup-linux-x64-musl": "4.62.2",
|
||||
"@rollup/rollup-openbsd-x64": "4.62.2",
|
||||
"@rollup/rollup-openharmony-arm64": "4.62.2",
|
||||
"@rollup/rollup-win32-arm64-msvc": "4.62.2",
|
||||
"@rollup/rollup-win32-ia32-msvc": "4.62.2",
|
||||
"@rollup/rollup-win32-x64-gnu": "4.62.2",
|
||||
"@rollup/rollup-win32-x64-msvc": "4.62.2",
|
||||
"fsevents": "~2.3.2"
|
||||
}
|
||||
},
|
||||
|
||||
@@ -186,12 +186,13 @@ function Generator({
|
||||
const requestedBackend = constraints.backendType || (constraints.useGpu === false ? "cpu" : "auto");
|
||||
const currentBackend = settings.backendType || (settings.useGpu === false ? "cpu" : "auto");
|
||||
const shouldCompareModel = requestedBackend !== "openvino-npu";
|
||||
const isCoreMLBackend = requestedBackend === "apple-npu";
|
||||
|
||||
if ((shouldCompareModel && currentModelName !== targetModelName) ||
|
||||
parseInt(settings.steps) !== parseInt(constraints.steps) ||
|
||||
Math.abs(parseFloat(settings.cfgScale) - parseFloat(constraints.cfgScale)) > 0.05 ||
|
||||
settings.sampler !== constraints.sampler ||
|
||||
parseInt(settings.threads) !== parseInt(constraints.threads) ||
|
||||
(!isCoreMLBackend && parseInt(settings.steps) !== parseInt(constraints.steps)) ||
|
||||
(!isCoreMLBackend && Math.abs(parseFloat(settings.cfgScale) - parseFloat(constraints.cfgScale)) > 0.05) ||
|
||||
(!isCoreMLBackend && settings.sampler !== constraints.sampler) ||
|
||||
(!isCoreMLBackend && parseInt(settings.threads) !== parseInt(constraints.threads)) ||
|
||||
Boolean(settings.useGpu) !== (constraints.useGpu !== false) ||
|
||||
parseInt(settings.width || 512) !== parseInt(constraints.width || 512) ||
|
||||
parseInt(settings.height || 512) !== parseInt(constraints.height || 512) ||
|
||||
|
||||
@@ -233,6 +233,24 @@ const COREML_MODEL_LIBRARY = [
|
||||
notes: "Apple Silicon ANE (Neural Engine) optimized 6-bit palettized Stable Diffusion 1.5 model. Unzips automatically on download completion and runs extremely fast on Mac NPUs.",
|
||||
url: "https://huggingface.co/apple/coreml-stable-diffusion-v1-5-palettized/resolve/main/coreml-stable-diffusion-v1-5-palettized_split_einsum_v2_compiled.zip",
|
||||
},
|
||||
{
|
||||
name: "CyberRealistic v1.5 CoreML (6-bit palettized)",
|
||||
filename: "cyberrealistic-6bit.coreml",
|
||||
format: "CoreML",
|
||||
approxSize: "815 MB",
|
||||
resolution: "512x512",
|
||||
notes: "6-bit palettized CoreML version of CyberRealistic. Extremely fast and optimized for Apple Silicon Neural Engine (ANE).",
|
||||
url: "https://huggingface.co/orailnooor/cyberrealistic-coreml/resolve/main/cyberrealistic-6bit.coreml.zip",
|
||||
},
|
||||
{
|
||||
name: "CyberRealistic v1.5 CoreML (Standard)",
|
||||
filename: "cyberrealistic.coreml",
|
||||
format: "CoreML",
|
||||
approxSize: "1.8 GB",
|
||||
resolution: "512x512",
|
||||
notes: "Standard CoreML version of CyberRealistic. Provides high-fidelity realism optimized for Apple Silicon NPUs.",
|
||||
url: "https://huggingface.co/orailnooor/cyberrealistic-coreml/resolve/main/cyberrealistic.coreml.zip",
|
||||
},
|
||||
],
|
||||
},
|
||||
];
|
||||
@@ -991,7 +1009,7 @@ function ModelManager({
|
||||
width: 512,
|
||||
height: 512,
|
||||
steps: activeConstraints.steps || 20,
|
||||
cfgScale: activeConstraints.cfgScale || 7,
|
||||
cfgScale: Number(activeConstraints.cfgScale) > 1 ? activeConstraints.cfgScale : 7,
|
||||
}
|
||||
: modelInfo?.backendType === "openvino-npu"
|
||||
? {
|
||||
@@ -1462,9 +1480,16 @@ function ModelManager({
|
||||
<div className="model-progress-fill" style={{ width: `${Math.min(100, Math.max(0, modelLoadProgress.progress))}%`, transition: "width 0.2s ease" }}></div>
|
||||
</div>
|
||||
{(modelLoadProgress.backendMode || modelLoadProgress.device) && (
|
||||
<div style={{ fontSize: "0.75rem", color: "var(--md-sys-color-outline)", marginTop: "6px" }}>
|
||||
Initializing {modelLoadProgress.backendMode || "backend"}
|
||||
{modelLoadProgress.device ? ` • ${modelLoadProgress.device}` : ""}
|
||||
<div style={{ fontSize: "0.75rem", color: "var(--md-sys-color-outline)", marginTop: "6px", lineHeight: "1.4" }}>
|
||||
<div>
|
||||
Initializing {modelLoadProgress.backendMode || "backend"}
|
||||
{modelLoadProgress.device ? ` • ${modelLoadProgress.device}` : ""}
|
||||
</div>
|
||||
{(modelLoadProgress.backendMode === "Apple NPU" || modelLoadProgress.backendMode === "Apple Neural Engine (NPU)") && (
|
||||
<div style={{ color: "var(--md-sys-color-primary)", marginTop: "4px", fontWeight: "500" }}>
|
||||
⚠️ Note: The first time loading this model, compilation on the Apple Neural Engine (NPU) can take 3–4 minutes. Subsequent loads will be almost instant.
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -72,6 +72,7 @@ fi
|
||||
if [ "$USE_SYMLINKS" = true ]; then
|
||||
if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then
|
||||
echo " >> Migrating existing node_modules to node_modules_linux..."
|
||||
rm -rf "$LINUX_NODE_MODULES"
|
||||
mv "$FRONTEND_NODE_MODULES" "$LINUX_NODE_MODULES"
|
||||
fi
|
||||
rm -f "$FRONTEND_NODE_MODULES"
|
||||
|
||||
@@ -24,6 +24,7 @@ else
|
||||
LLM_BACKEND_PATH="$APP_DIR/llm-backend/mac/x64/llama-server"
|
||||
fi
|
||||
TTS_RUNTIME_PATH="$APP_DIR/tts-runtime/node_modules/kokoro-js"
|
||||
SPEECH_BACKEND_PATH="$APP_DIR/speech-backend/mac/cpu/whisper-cli"
|
||||
PLATFORM_LABEL="macOS"
|
||||
|
||||
DIST_INDEX="$APP_DIR/dist/index.html"
|
||||
@@ -53,6 +54,7 @@ fi
|
||||
if [ "$USE_SYMLINKS" = true ]; then
|
||||
if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then
|
||||
echo " >> Migrating existing node_modules to node_modules_mac..."
|
||||
rm -rf "$MAC_NODE_MODULES"
|
||||
mv "$FRONTEND_NODE_MODULES" "$MAC_NODE_MODULES"
|
||||
fi
|
||||
rm -f "$FRONTEND_NODE_MODULES"
|
||||
@@ -115,6 +117,9 @@ fi
|
||||
if [[ ! -d "$TTS_RUNTIME_PATH" ]]; then
|
||||
SETUP_REASON="Kokoro text-to-speech runtime is missing."
|
||||
fi
|
||||
if [[ ! -x "$SPEECH_BACKEND_PATH" ]]; then
|
||||
SETUP_REASON="macOS whisper.cpp speech backend is missing."
|
||||
fi
|
||||
|
||||
if [[ -n "$SETUP_REASON" ]]; then
|
||||
echo ""
|
||||
|
||||
+154
-1
@@ -371,6 +371,96 @@ let currentSettings = {
|
||||
height: 512,
|
||||
};
|
||||
|
||||
const BACKEND_RESTART_SETTING_KEYS = [
|
||||
"model",
|
||||
"steps",
|
||||
"cfgScale",
|
||||
"sampler",
|
||||
"threads",
|
||||
"useGpu",
|
||||
"backendType",
|
||||
"vaeTiling",
|
||||
"vaeOnCpu",
|
||||
"flashAttn",
|
||||
"width",
|
||||
"height",
|
||||
];
|
||||
|
||||
function normalizeBackendSettingValue(key, value) {
|
||||
if (value === undefined || value === null) return value;
|
||||
if (key === "model") return path.resolve(String(value));
|
||||
if (["steps", "threads", "width", "height"].includes(key)) return parseInt(value);
|
||||
if (key === "cfgScale") return Math.round(parseFloat(value) * 1000) / 1000;
|
||||
if (["useGpu", "vaeTiling", "vaeOnCpu", "flashAttn"].includes(key)) return Boolean(value);
|
||||
return String(value);
|
||||
}
|
||||
|
||||
function backendSettingsMatch(current, requested) {
|
||||
return BACKEND_RESTART_SETTING_KEYS.every((key) => (
|
||||
normalizeBackendSettingValue(key, current[key]) === normalizeBackendSettingValue(key, requested[key])
|
||||
));
|
||||
}
|
||||
|
||||
function appleNpuRuntimeMatches(current, requested) {
|
||||
return normalizeBackendSettingValue("model", current.model) === normalizeBackendSettingValue("model", requested.model) &&
|
||||
current.backendType === "apple-npu" &&
|
||||
requested.backendType === "apple-npu" &&
|
||||
normalizeBackendSettingValue("useGpu", current.useGpu) === normalizeBackendSettingValue("useGpu", requested.useGpu) &&
|
||||
normalizeBackendSettingValue("width", current.width || 512) === normalizeBackendSettingValue("width", requested.width || 512) &&
|
||||
normalizeBackendSettingValue("height", current.height || 512) === normalizeBackendSettingValue("height", requested.height || 512);
|
||||
}
|
||||
|
||||
function setBackendLoadStage(phase, progress, extra = {}) {
|
||||
if (backendReady) return;
|
||||
backendLoadState = {
|
||||
...backendLoadState,
|
||||
active: true,
|
||||
phase,
|
||||
progress: Math.max(backendLoadState.progress || 0, Math.min(99, progress)),
|
||||
...extra,
|
||||
};
|
||||
}
|
||||
|
||||
function updateCoreMLLoadProgress(output) {
|
||||
if (currentSettings.backendType !== "apple-npu" || backendReady) return;
|
||||
const cleanOutput = stripAnsi(output);
|
||||
|
||||
if (cleanOutput.includes("Loading PyTorch reference configuration")) {
|
||||
setBackendLoadStage("Loading PyTorch reference configuration...", 8);
|
||||
}
|
||||
|
||||
const pipelineMatch = cleanOutput.match(/Loading pipeline components.*?(\d+)%/);
|
||||
if (pipelineMatch) {
|
||||
const componentProgress = Math.max(0, Math.min(100, Number(pipelineMatch[1]) || 0));
|
||||
setBackendLoadStage("Loading pipeline components...", 10 + Math.round(componentProgress * 0.25));
|
||||
}
|
||||
|
||||
if (cleanOutput.includes("Loading Core ML models from")) {
|
||||
setBackendLoadStage("Loading Core ML model bundle...", 40);
|
||||
}
|
||||
if (cleanOutput.includes("Loading text_encoder")) {
|
||||
setBackendLoadStage("Loading text encoder...", 48);
|
||||
}
|
||||
if (cleanOutput.includes("Loading unet")) {
|
||||
setBackendLoadStage("Loading UNet neural engine model...", 62);
|
||||
}
|
||||
if (cleanOutput.includes("Loading vae_decoder")) {
|
||||
setBackendLoadStage("Loading VAE decoder...", 78);
|
||||
}
|
||||
if (cleanOutput.includes("Loading safety_checker")) {
|
||||
setBackendLoadStage("Loading safety checker...", 88);
|
||||
}
|
||||
if (cleanOutput.includes("Initializing Core ML pipe")) {
|
||||
setBackendLoadStage("Initializing Core ML pipeline...", 94);
|
||||
}
|
||||
if (cleanOutput.includes("Stable Diffusion configured")) {
|
||||
setBackendLoadStage("Configuring image resolution...", 97);
|
||||
}
|
||||
if (cleanOutput.includes("Core ML models loaded successfully")) {
|
||||
setBackendLoadStage("Core ML models loaded successfully.", 99);
|
||||
}
|
||||
}
|
||||
|
||||
let lastCpuSample = null;
|
||||
let cachedGpuInfo = null;
|
||||
let cachedBackendOptions = null;
|
||||
@@ -3640,6 +3730,28 @@ function startBackendReadyPoll() {
|
||||
}, 500);
|
||||
}
|
||||
|
||||
function startCoreMLLoadHeartbeat(proc) {
|
||||
if (currentSettings.backendType !== "apple-npu") return null;
|
||||
const startedAt = Date.now();
|
||||
const interval = setInterval(() => {
|
||||
if (backendProc !== proc || backendReady || !backendLoadState.active) {
|
||||
clearInterval(interval);
|
||||
return;
|
||||
}
|
||||
const elapsedSec = (Date.now() - startedAt) / 1000;
|
||||
const targetProgress = Math.min(96, Math.round(8 + 88 * (1 - Math.exp(-elapsedSec / 55))));
|
||||
if (targetProgress > (backendLoadState.progress || 0)) {
|
||||
backendLoadState = {
|
||||
...backendLoadState,
|
||||
active: true,
|
||||
phase: backendLoadState.phase || "Loading Core ML model...",
|
||||
progress: targetProgress,
|
||||
};
|
||||
}
|
||||
}, 1000);
|
||||
return interval;
|
||||
}
|
||||
|
||||
function getDefaultModel() {
|
||||
try {
|
||||
const files = fs.readdirSync(MODELS).filter(isModelFile);
|
||||
@@ -4128,7 +4240,7 @@ async function startBackend(settings = {}) {
|
||||
throw new Error(modelLoadIssue);
|
||||
}
|
||||
|
||||
PORT_BACKEND = await findAvailableBackendPort();
|
||||
PORT_BACKEND = Number(settings.backendPort) > 0 ? Number(settings.backendPort) : await findAvailableBackendPort();
|
||||
|
||||
const resolvedBackendType = resolveBackendType(currentSettings.useGpu, currentSettings.backendType, currentSettings.model);
|
||||
currentSettings.backendType = resolvedBackendType;
|
||||
@@ -4260,10 +4372,12 @@ async function startBackend(settings = {}) {
|
||||
const proc = spawn(backendPath, args, { stdio: "pipe", env: spawnEnv });
|
||||
backendProc = proc;
|
||||
startBackendReadyPoll();
|
||||
const coremlLoadHeartbeat = startCoreMLLoadHeartbeat(proc);
|
||||
|
||||
proc.stdout.on("data", d => {
|
||||
const output = d.toString();
|
||||
process.stdout.write(" [sd] " + output);
|
||||
updateCoreMLLoadProgress(output);
|
||||
const cleanOutput = stripAnsi(output);
|
||||
if (cleanOutput.includes("listening on")) {
|
||||
markBackendReady();
|
||||
@@ -4344,6 +4458,7 @@ async function startBackend(settings = {}) {
|
||||
proc.stderr.on("data", d => {
|
||||
const output = d.toString();
|
||||
process.stderr.write(" [sd-err] " + output);
|
||||
updateCoreMLLoadProgress(output);
|
||||
const cleanOutput = stripAnsi(output);
|
||||
const deviceMatch = cleanOutput.match(/Device\s+\d+:\s*([^,\r\n]+)/);
|
||||
if (deviceMatch) {
|
||||
@@ -4381,6 +4496,7 @@ async function startBackend(settings = {}) {
|
||||
}
|
||||
});
|
||||
proc.on("exit", (code, signal) => {
|
||||
if (coremlLoadHeartbeat) clearInterval(coremlLoadHeartbeat);
|
||||
if (backendProc !== proc) {
|
||||
console.log(" [backend] stale process exited with code", code, signal ? `(signal ${signal})` : "", `(process ${procSeq})`);
|
||||
return;
|
||||
@@ -6283,6 +6399,15 @@ async function getLlmfitRecommendations(useCase = "chat", limit = 10) {
|
||||
try {
|
||||
const targetModel = newSettings.model || currentSettings.model || getDefaultModel();
|
||||
assertNoOtherActiveRuntime("image", targetModel);
|
||||
const requestedSettings = { ...currentSettings, ...newSettings, model: targetModel };
|
||||
const imageBackendReady = (backendReady && backendProc) || (openvinoReady && openvinoProc);
|
||||
if (imageBackendReady && backendSettingsMatch(currentSettings, requestedSettings)) {
|
||||
return json(res, 200, { ok: true, message: "Backend already running with requested settings.", settings: currentSettings, port: PORT_BACKEND });
|
||||
}
|
||||
if (backendReady && backendProc && appleNpuRuntimeMatches(currentSettings, requestedSettings)) {
|
||||
currentSettings = requestedSettings;
|
||||
return json(res, 200, { ok: true, message: "Apple NPU backend already running; updated generation defaults.", settings: currentSettings, port: PORT_BACKEND });
|
||||
}
|
||||
await killBackend();
|
||||
await new Promise(r => setTimeout(r, 500));
|
||||
if (newSettings.backendType === "openvino-npu") {
|
||||
@@ -6297,6 +6422,34 @@ async function getLlmfitRecommendations(useCase = "chat", limit = 10) {
|
||||
});
|
||||
return json(res, 200, { ok: true, message: "OpenVINO NPU backend starting...", settings: currentSettings, port: PORT_BACKEND });
|
||||
}
|
||||
if (newSettings.backendType === "apple-npu") {
|
||||
const backendPort = await findAvailableBackendPort();
|
||||
PORT_BACKEND = backendPort;
|
||||
newSettings.backendPort = backendPort;
|
||||
currentSettings = { ...currentSettings, ...newSettings };
|
||||
backendLoadState = {
|
||||
active: true,
|
||||
phase: "Starting Apple NPU backend...",
|
||||
progress: 1,
|
||||
current: 0,
|
||||
total: 0,
|
||||
speed: "",
|
||||
model: path.basename(newSettings.model || targetModel),
|
||||
backendMode: "Apple NPU",
|
||||
backendBinary: path.basename(getCoreMLPythonPath()),
|
||||
device: "",
|
||||
};
|
||||
startBackend(newSettings).catch((err) => {
|
||||
backendError = err.message || String(err);
|
||||
backendLoadState = {
|
||||
...backendLoadState,
|
||||
active: false,
|
||||
phase: "Apple NPU model load failed",
|
||||
};
|
||||
console.error(" [coreml-npu] Startup failed:", backendError);
|
||||
});
|
||||
return json(res, 200, { ok: true, message: "Apple NPU backend starting...", settings: { ...currentSettings, ...newSettings }, port: backendPort });
|
||||
}
|
||||
await startBackend(newSettings);
|
||||
return json(res, 200, { ok: true, message: "Backend restarting...", settings: currentSettings, port: PORT_BACKEND });
|
||||
} catch (err) {
|
||||
|
||||
@@ -44,6 +44,47 @@ download_and_extract() {
|
||||
fi
|
||||
}
|
||||
|
||||
install_macos_whisper_from_homebrew() {
|
||||
local cpu_dest="$APP_DIR/speech-backend/mac/cpu"
|
||||
local lib_dest="$APP_DIR/speech-backend/mac/lib"
|
||||
local brew_bin
|
||||
brew_bin="$(command -v brew || true)"
|
||||
if [[ -z "$brew_bin" ]]; then
|
||||
return 1
|
||||
fi
|
||||
|
||||
if ! "$brew_bin" list whisper-cpp >/dev/null 2>&1; then
|
||||
echo " >> Installing whisper-cpp with Homebrew..."
|
||||
"$brew_bin" install whisper-cpp
|
||||
fi
|
||||
|
||||
local whisper_prefix
|
||||
whisper_prefix="$("$brew_bin" --prefix whisper-cpp)"
|
||||
if [[ ! -x "$whisper_prefix/bin/whisper-cli" ]]; then
|
||||
echo " XX Homebrew whisper-cpp did not provide whisper-cli at $whisper_prefix/bin/whisper-cli" >&2
|
||||
return 1
|
||||
fi
|
||||
|
||||
mkdir -p "$cpu_dest" "$lib_dest"
|
||||
cp "$whisper_prefix/bin/whisper-cli" "$cpu_dest/whisper-cli"
|
||||
if [[ -x "$whisper_prefix/bin/whisper-server" ]]; then
|
||||
cp "$whisper_prefix/bin/whisper-server" "$cpu_dest/whisper-server"
|
||||
fi
|
||||
chmod +x "$cpu_dest/whisper-cli" "$cpu_dest/whisper-server" 2>/dev/null || true
|
||||
|
||||
# Homebrew's whisper-cli uses @rpath/libwhisper.1.dylib. The app launcher runs
|
||||
# it from app/speech-backend/mac/cpu, where ../lib is already in its rpath.
|
||||
cp -P "$whisper_prefix"/lib/libwhisper*.dylib "$lib_dest/" 2>/dev/null || true
|
||||
|
||||
if "$cpu_dest/whisper-cli" --help >/dev/null 2>&1; then
|
||||
echo " OK installed macOS whisper.cpp backend from Homebrew."
|
||||
return 0
|
||||
fi
|
||||
|
||||
echo " XX whisper-cli was copied but did not run successfully." >&2
|
||||
return 1
|
||||
}
|
||||
|
||||
if [[ "$PLATFORM" == "Linux" ]]; then
|
||||
mkdir -p "$APP_DIR/speech-backend/linux/cpu" "$APP_DIR/speech-backend/linux/vulkan"
|
||||
if [[ ! -x "$APP_DIR/speech-backend/linux/cpu/whisper-cli" && -x "$APP_DIR/speech-backend/linux/whisper-cli" ]]; then
|
||||
@@ -71,9 +112,14 @@ elif [[ "$PLATFORM" == "Darwin" ]]; then
|
||||
fi
|
||||
if [[ -x "$APP_DIR/speech-backend/mac/cpu/whisper-cli" || -x "$APP_DIR/speech-backend/mac/metal/whisper-cli" ]]; then
|
||||
echo " OK whisper.cpp macOS speech backend already ready."
|
||||
elif install_macos_whisper_from_homebrew; then
|
||||
:
|
||||
else
|
||||
echo " !! No official portable macOS whisper.cpp CLI archive is available for this setup script yet."
|
||||
echo " Build whisper.cpp manually and copy whisper-cli to app/speech-backend/mac/cpu or app/speech-backend/mac/metal."
|
||||
echo " !! Could not install macOS whisper.cpp automatically."
|
||||
echo " Homebrew is not installed, and this app does not yet ship a portable macOS whisper.cpp archive."
|
||||
echo " For a distributable fix, bundle whisper-cli + whisper-server into app/speech-backend/mac/cpu"
|
||||
echo " during packaging, or add a Lemonade embeddable speech backend integration."
|
||||
echo " Manual workaround: install whisper.cpp and copy whisper-cli to app/speech-backend/mac/cpu."
|
||||
fi
|
||||
else
|
||||
echo "Unsupported platform: $PLATFORM" >&2
|
||||
|
||||
@@ -121,6 +121,14 @@ def infer_model_sources(resource_dir: Path) -> str:
|
||||
return "packages"
|
||||
|
||||
|
||||
def has_coreml_safety_checker(resource_dir: Path, sources: str, model_version: str) -> bool:
|
||||
names = {entry.name.lower() for entry in resource_dir.iterdir()}
|
||||
if sources == "compiled":
|
||||
return "safetychecker.mlmodelc" in names
|
||||
package_name = f"Stable_Diffusion_version_{model_version}_safety_checker.mlpackage".replace("/", "_").lower()
|
||||
return package_name in names
|
||||
|
||||
|
||||
def latest_png(root: Path) -> Path:
|
||||
images = sorted(root.rglob("*.png"), key=lambda p: p.stat().st_mtime, reverse=True)
|
||||
if not images:
|
||||
@@ -148,6 +156,9 @@ class CoreMLServerState:
|
||||
|
||||
compute_unit = os.environ.get("COREML_COMPUTE_UNIT", "CPU_AND_NE")
|
||||
sources = infer_model_sources(self.resources)
|
||||
if not has_coreml_safety_checker(self.resources, sources, self.model_version):
|
||||
print("[coreml-npu] Safety checker Core ML model not found; running without safety checker.", flush=True)
|
||||
pytorch_pipe.safety_checker = None
|
||||
|
||||
print(f"[coreml-npu] Loading Core ML models from: {self.resources} (compute unit: {compute_unit}, sources: {sources})", flush=True)
|
||||
self.pipe = get_coreml_pipe(
|
||||
@@ -199,6 +210,9 @@ def make_handler(state: CoreMLServerState):
|
||||
return
|
||||
|
||||
try:
|
||||
if not hasattr(state, "pipe") or not state.pipe:
|
||||
raise RuntimeError("CoreML pipeline is not initialized or failed to load.")
|
||||
|
||||
length = int(self.headers.get("Content-Length", "0") or "0")
|
||||
payload = json.loads(self.rfile.read(length).decode("utf-8") or "{}")
|
||||
prompt = str(payload.get("prompt") or "").strip()
|
||||
@@ -211,6 +225,9 @@ def make_handler(state: CoreMLServerState):
|
||||
|
||||
steps = max(1, int(payload.get("steps") or state.steps or 30))
|
||||
guidance = float(payload.get("cfg_scale") or state.cfg_scale or 7.0)
|
||||
if guidance <= 1.0:
|
||||
print("[coreml-npu] CFG scale <= 1 can disable classifier-free guidance, but this compiled UNet expects CFG batch shape. Using cfg_scale=7.0.", flush=True)
|
||||
guidance = 7.0
|
||||
seed = int(payload.get("seed")) if payload.get("seed") not in (None, -1) else int(time.time_ns() % (2 ** 32))
|
||||
negative_prompt = str(payload.get("negative_prompt") or "").strip()
|
||||
|
||||
|
||||
Reference in new issue
Block a user