implement portable static file server and backend process manager for local AI image generation
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Vendored
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Line truncated
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Seed: ${f.seed}`,children:[c.jsx("img",{src:f.url,className:"gallery-thumb",alt:"Thumbnail",loading:"lazy",decoding:"async"}),N&&c.jsx("div",{className:"gallery-select-badge",children:c.jsx(Ls,{size:14})})]})});function 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be saved:",Be),new Error(`Image generated but could not be saved to ULine truncated
|
||||
|
||||
${He}
|
||||
|
||||
Update the UI status anyway?`,confirmLabel:"Update UI"})&&(b(T),r(!0)):await Y({title:"Backend Not Running",message:`C++ backend server is not running on port 8080.
|
||||
|
||||
To run locally, start:
|
||||
|
||||
${He}
|
||||
|
||||
Proceed in Simulation Mode instead?`,confirmLabel:"Proceed"})&&(b(T),r(!1));return}re(T),ne({progress:0,phase:"Starting backend...",speed:"",current:0,total:0,model:T,backendMode:"",backendBinary:"",device:""});try{const Q=await Xs(T,j);console.log(Q);let He=!1,zt=null;for(let st=0;st<240;st++){const ge=await ba();if(ge.loading&&ne({progress:ge.loading.progress||0,phase:ge.loading.phase||"Loading model...",speed:ge.loading.speed||"",current:ge.loading.current||0,total:ge.loading.total||0,model:ge.loading.model||T,backendMode:ge.loading.backendMode||ge.settings?.backendMode||"",backendBinary:ge.loading.backendBinary||ge.settings?.backendBinary||"",device:ge.loading.device||ge.settings?.backendDevice||""}),ge.ready){He=!0;break}if(ge.error){zt=ge.error;break}if(!ge.running&&st>3){zt="The backend process terminated immediately on startup.";break}await new Promise(sn=>setTimeout(sn,500))}if(He)ne(st=>({...st||{},progress:100,phase:"Model ready",speed:"",current:st?.current||0,total:st?.total||0,model:T})),b(T),r(!0);else throw new Error(zt||"Model server failed to respond on port 8080.")}catch(Q){console.error("Failed to load model:",Q),A({title:"Model Load Failed",message:Q.message||String(Q),danger:!0})}finally{setTimeout(()=>ne(null),800),re(null)}},ct=async()=>{const T=Je;x(null),await yt(),T&&await ze(T)},yt=async()=>{if(Me)return;Ke(!0),tt({progress:10,phase:"Stopping backend process..."});const T=setInterval(async()=>{try{const C=await ba();C.unloading?.active?tt({progress:C.unloading.progress||50,phase:C.unloading.phase||"Unloading model..."}):tt(q=>({progress:Math.min(95,q.progress+10),phase:q.phase||"Unloading model..."}))}catch{}},300);try{await Zs(),tt({progress:100,phase:"Model unloaded"}),b(null),x(null),r(!1)}catch(C){console.error(C),A({title:"Unload Failed",message:C.message||String(C),danger:!0})}finally{clearInterval(T),setTimeout(()=>{Ke(!1),tt({progress:0,phase:""})},500)}},wt=async T=>{if(await Y({title:"Delete Model?",message:`Delete "${T}" from your drive?`,confirmLabel:"Delete",danger:!0}))try{await $y(T),await B(),f===T&&await yt()}catch(C){console.error("Failed to delete model:",C),A({title:"Delete Failed",message:C.message||String(C),danger:!0})}},Al=async(T,C)=>{const q=new AbortController;qe(q),Ge(0),Xe({filename:C,speed:"0.0",eta:0,status:"Initiating file copy..."});try{await Ky(T,Q=>{Ge(Math.round(Q.progress)),Xe({filename:Q.filename,speed:Q.speed_mb_s.toFixed(1),eta:Math.round(Q.eta_secs),status:Q.status})},q.signal),await B()}catch(Q){console.error("Import failed:",Q),Q.name!=="AbortError"&&A({title:"Import Failed",message:Q.message||String(Q),danger:!0})}finally{Ge(null),qe(null)}},rt=()=>{ot&&ot.abort()},al=T=>{const C=T.target.files[0];C&&Al(C,C.name),T.target.value=""},sl=!!y;return c.jsxs("div",{className:"workspace-area",children:[c.jsxs("div",{className:"workspace-title-section",children:[c.jsx("h2",{className:"workspace-title",children:"Model Manager"}),c.jsx("p",{className:"workspace-subtitle",children:"Manage local files and download recommended weights directly to your local models folder."})]}),f&&c.jsx("div",{className:"m3-card",style:{borderLeft:"4px solid var(--md-sys-color-primary)",background:"var(--md-sys-color-primary-container)",color:"var(--md-sys-color-on-primary-container)"},children:c.jsxs("div",{style:{display:"flex",justifyContent:"space-between",alignItems:"center"},children:[c.jsxs("div",{children:[c.jsxs("h4",{style:{fontWeight:700},children:["Active Model: ",f]}),c.jsx("p",{style:{fontSize:"0.85rem",marginTop:"2px",opacity:.9},children:"The local C++ stable-diffusion server is running. Real-time telemetry is displaying performance status in the top bar."}),(O.backendMode||O.backendDevice||O.backendBinary)&&c.jsxs("div",{style:{display:"flex",flexWrap:"wrap",gap:"8px",marginTop:"10px"},children:[O.backendMode&&c.jsxs("span",{className:"status-chip",style:{cursor:"default"},children:[c.jsx(bu,{size:14}),c.jsxs("span",{children:["Loaded on ",O.backendMode]})]}),O.backendDevice&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:O.backendDevice})}),O.backendBinary&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:O.backendBinary})})]})]}),c.jsxs("button",{className:"m3-btn m3-btn-error",onClick:yt,disabled:Me||F!==null,children:[Me?c.jsx(ta,{className:"progress-spinner",size:16}):c.jsx(ti,{size:16}),c.jsx("span",{children:Me?"Unloading":"Unload Server"})]})]})}),Me&&c.jsxs("div",{className:"m3-card",style:{borderLeft:"4px solid var(--md-sys-color-error)",marginTop:"16px"},children:[c.jsx("h4",{style:{fontWeight:700,marginBottom:"8px"},children:"Unloading Model"}),c.jsxs("div",{className:"model-progress-section",style:{margin:"8px 0 0 0"},children:[c.jsxs("div",{className:"model-progress-label",children:[c.jsx("span",{children:$e.phase||"Unloading model..."}),c.jsxs("span",{children:[Math.round($e.progress),"%"]})]}),c.jsx("div",{className:"model-progress-bar",chi
Line truncated
|
||||
|
||||
Models and generated outputs are not included.`,confirmLabel:"Clean",danger:!0})){$e(!0);try{await Hy(qe.map(q=>q.id)),await Ue()}catch(q){A({title:"Cleanup Failed",message:q.message||String(q),danger:!0})}finally{$e(!1)}}},[qe,Ue,A,j]);w.useEffect(()=>{async function T(){const C=await ky();O(C)}T()},[]),w.useEffect(()=>{re?localStorage.setItem("active-model",re):localStorage.removeItem("active-model")},[re]),w.useEffect(()=>{let T=null;async function C(){const q=await ba();if(!!q.ready){T&&clearInterval(T);const He=localStorage.getItem("active-model");if(He)I(He),ce(!0);else{try{if(q&&q.settings&&q.settings.model){const zt=q.settings.model.split(/[\\/]/).pop();I(zt)}}catch{}ce(!0)}}else if(!(typeof window<"u"&&window.__TAURI_INTERNALS__!==void 0)){const zt=localStorage.getItem("active-model");zt&&(I(zt),ce(!1))}}return C(),T=setInterval(C,2e3),()=>{T&&clearInterval(T)}},[]),w.useEffect(()=>{async function T(){try{const q=await 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|
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Vendored
+1
-1
@@ -8,7 +8,7 @@
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
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<link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;500;600;700&display=swap" rel="stylesheet">
|
||||
<title>Local AI Image Generator</title>
|
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<script type="module" crossorigin src="/assets/index-DjStOWCE.js"></script>
|
||||
<script type="module" crossorigin src="/assets/index-BOI9YDBQ.js"></script>
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||||
<link rel="stylesheet" crossorigin href="/assets/index-BVK0F0Ah.css">
|
||||
</head>
|
||||
|
||||
|
||||
@@ -10,7 +10,7 @@ const GalleryItem = memo(({ img, idx, isSelected, onClick }) => {
|
||||
<div
|
||||
className={`gallery-item ${isSelected ? "selected" : ""}`}
|
||||
onClick={handleClick}
|
||||
title={`Prompt: ${img.prompt}\nSeed: ${img.seed}`}
|
||||
title={`Prompt: ${img.prompt}\nSeed: ${img.seed}${img.duration_sec ? `\nTime: ${img.duration_sec.toFixed(1)}s` : ""}`}
|
||||
>
|
||||
<img src={img.url} className="gallery-thumb" alt="Thumbnail" loading="lazy" decoding="async" />
|
||||
{isSelected && (
|
||||
@@ -55,6 +55,7 @@ function Generator({
|
||||
const [isRestartingBackend, setIsRestartingBackend] = useState(false);
|
||||
const [restartLoadProgress, setRestartLoadProgress] = useState(null);
|
||||
const [errorMsg, setErrorMsg] = useState(null);
|
||||
const [isDecoding, setIsDecoding] = useState(false);
|
||||
const [selectedGalleryIndexes, setSelectedGalleryIndexes] = useState([]);
|
||||
const timerRef = useRef(null);
|
||||
const fileInputRef = useRef(null);
|
||||
@@ -170,6 +171,7 @@ function Generator({
|
||||
setCurrentStep(0);
|
||||
setGenerationSpeed("");
|
||||
setIsCpuFallback(false);
|
||||
setIsDecoding(false);
|
||||
setGenDuration(null);
|
||||
setOutputImage(null);
|
||||
|
||||
@@ -194,16 +196,25 @@ function Generator({
|
||||
try {
|
||||
const progress = await getGenerationProgress();
|
||||
if (progress && progress.active) {
|
||||
const step = progress.step || 0;
|
||||
const decoding = progress.decoding || false;
|
||||
setIsDecoding(decoding);
|
||||
|
||||
const step = decoding ? (progress.steps || constraints.steps || 20) : (progress.step || 0);
|
||||
const steps = progress.steps || constraints.steps || 20;
|
||||
const speed = progress.speed || "";
|
||||
const speed = decoding ? "" : (progress.speed || "");
|
||||
|
||||
setCurrentStep(step);
|
||||
setGenerationSpeed(speed);
|
||||
if (!decoding) {
|
||||
setGenerationSpeed(speed);
|
||||
} else {
|
||||
setGenerationSpeed("decoding");
|
||||
}
|
||||
|
||||
// Calculate progress percentage
|
||||
let progressPercent = 0;
|
||||
if (steps > 0) {
|
||||
if (decoding) {
|
||||
progressPercent = 99;
|
||||
} else if (steps > 0) {
|
||||
progressPercent = Math.round((step / steps) * 100);
|
||||
}
|
||||
progressPercent = Math.min(99, progressPercent);
|
||||
@@ -211,17 +222,21 @@ function Generator({
|
||||
|
||||
// Calculate remaining time
|
||||
let remaining = 0;
|
||||
const numericSpeed = parseFloat(speed);
|
||||
if (!isNaN(numericSpeed) && numericSpeed > 0) {
|
||||
const remainingSteps = Math.max(0, steps - step);
|
||||
if (speed.includes("it/s")) {
|
||||
remaining = remainingSteps / numericSpeed;
|
||||
} else if (speed.includes("s/it")) {
|
||||
remaining = remainingSteps * numericSpeed;
|
||||
}
|
||||
if (decoding) {
|
||||
remaining = 3;
|
||||
} else {
|
||||
const activeStepTime = gpuSelected ? baseGpuStepTime : baseCpuStepTime;
|
||||
remaining = Math.max(0, (steps - step) * activeStepTime);
|
||||
const numericSpeed = parseFloat(speed);
|
||||
if (!isNaN(numericSpeed) && numericSpeed > 0) {
|
||||
const remainingSteps = Math.max(0, steps - step);
|
||||
if (speed.includes("it/s")) {
|
||||
remaining = remainingSteps / numericSpeed;
|
||||
} else if (speed.includes("s/it")) {
|
||||
remaining = remainingSteps * numericSpeed;
|
||||
}
|
||||
} else {
|
||||
const activeStepTime = gpuSelected ? baseGpuStepTime : baseCpuStepTime;
|
||||
remaining = Math.max(0, (steps - step) * activeStepTime);
|
||||
}
|
||||
}
|
||||
|
||||
// Detect CPU fallback / slow generation if GPU was requested but it runs slow
|
||||
@@ -482,7 +497,7 @@ function Generator({
|
||||
}));
|
||||
setOutputImage(item.url);
|
||||
setOutputSeed(item.seed);
|
||||
setGenDuration(null);
|
||||
setGenDuration(item.duration_sec ?? item.durationSec ?? null);
|
||||
}, [setPrompt, setNegativePrompt, setConstraints]);
|
||||
|
||||
const toggleGallerySelection = useCallback((idx, event) => {
|
||||
@@ -733,7 +748,9 @@ function Generator({
|
||||
) : (
|
||||
<>
|
||||
<div className="progress-spinner"></div>
|
||||
<div className="progress-text" style={{ fontSize: "1.1rem", fontWeight: 700 }}>Generating Locally...</div>
|
||||
<div className="progress-text" style={{ fontSize: "1.1rem", fontWeight: 700 }}>
|
||||
{isDecoding ? "Decoding Latents..." : "Generating Locally..."}
|
||||
</div>
|
||||
|
||||
{isCpuFallback && (
|
||||
<div style={{ fontSize: "0.8rem", color: "var(--md-sys-color-primary)", fontWeight: 600, background: "var(--md-sys-color-primary-container)", padding: "4px 12px", borderRadius: "12px", margin: "4px 0 8px 0", animation: "pulse 2s infinite" }}>
|
||||
@@ -744,10 +761,10 @@ function Generator({
|
||||
{/* Real-time stats display */}
|
||||
<div style={{ display: "grid", gridTemplateColumns: "1fr 1fr", gap: "16px", width: "80%", margin: "8px 0 0 0", fontSize: "0.85rem", opacity: 0.9 }}>
|
||||
<div style={{ textAlign: "left" }}>
|
||||
<strong>Step:</strong> {currentStep} / {constraints.steps} ({constraints.steps - currentStep} left)
|
||||
<strong>Step:</strong> {currentStep} / {constraints.steps} ({Math.max(0, constraints.steps - currentStep)} left)
|
||||
</div>
|
||||
<div style={{ textAlign: "right" }}>
|
||||
<strong>Elapsed:</strong> {elapsedTime}s{generationSpeed && ` (${generationSpeed})`}
|
||||
<strong>Elapsed:</strong> {elapsedTime}s{generationSpeed && ` (${generationSpeed === "decoding" ? "decoding" : generationSpeed})`}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -318,6 +318,7 @@ export async function listModelsFromDisk() {
|
||||
// Handles API calls to sd-server or mocks them if server is unreachable
|
||||
export async function generateImage(prompt, negativePrompt, constraints, activeModelName, inputImageBase64, onProgress, signal) {
|
||||
console.log("Initiating image generation:", { prompt, negativePrompt, constraints, activeModelName });
|
||||
const startTime = Date.now();
|
||||
|
||||
const port = 8080;
|
||||
const baseUrl = `http://127.0.0.1:${port}`;
|
||||
@@ -495,11 +496,12 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM
|
||||
|
||||
const base64Svg = btoa(unescape(encodeURIComponent(svgString)));
|
||||
const mockImageUrl = `data:image/svg+xml;base64,${base64Svg}`;
|
||||
const durationSec = parseFloat(((Date.now() - startTime) / 1000).toFixed(1));
|
||||
|
||||
return {
|
||||
image: mockImageUrl,
|
||||
seed: payload.seed,
|
||||
duration_sec: 3.0,
|
||||
duration_sec: durationSec,
|
||||
};
|
||||
};
|
||||
|
||||
@@ -540,10 +542,11 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM
|
||||
// Response: { data: [{ b64_json: "..." }] }
|
||||
const imgB64 = data?.data?.[0]?.b64_json ?? data?.images?.[0];
|
||||
if (imgB64) {
|
||||
const durationSec = parseFloat(((Date.now() - startTime) / 1000).toFixed(1));
|
||||
return {
|
||||
image: `data:image/png;base64,${imgB64}`,
|
||||
seed: data.data?.[0]?.seed ?? payload.seed,
|
||||
duration_sec: 4.5,
|
||||
duration_sec: durationSec,
|
||||
};
|
||||
}
|
||||
} else {
|
||||
|
||||
+13
-3
@@ -787,14 +787,21 @@ function startBackend(settings = {}) {
|
||||
generationState.step = 0;
|
||||
generationState.steps = 0;
|
||||
generationState.speed = "";
|
||||
generationState.decoding = false;
|
||||
}
|
||||
|
||||
if (cleanLine.includes("decoding") && generationState.active) {
|
||||
generationState.decoding = true;
|
||||
}
|
||||
|
||||
const match = cleanLine.match(/\|\s*[^|]*\s*\|\s*(\d+)\/(\d+)\s*-\s*([\d.]+\s*(?:it\/s|s\/it))/);
|
||||
if (match) {
|
||||
generationState.active = true;
|
||||
generationState.step = parseInt(match[1], 10);
|
||||
generationState.steps = parseInt(match[2], 10);
|
||||
generationState.speed = match[3].trim();
|
||||
if (!generationState.decoding) {
|
||||
generationState.step = parseInt(match[1], 10);
|
||||
generationState.steps = parseInt(match[2], 10);
|
||||
generationState.speed = match[3].trim();
|
||||
}
|
||||
}
|
||||
|
||||
if (cleanLine.includes("generate_image completed")) {
|
||||
@@ -802,6 +809,7 @@ function startBackend(settings = {}) {
|
||||
generationState.step = 0;
|
||||
generationState.steps = 0;
|
||||
generationState.speed = "";
|
||||
generationState.decoding = false;
|
||||
}
|
||||
}
|
||||
});
|
||||
@@ -841,6 +849,7 @@ function startBackend(settings = {}) {
|
||||
generationState.step = 0;
|
||||
generationState.steps = 0;
|
||||
generationState.speed = "";
|
||||
generationState.decoding = false;
|
||||
|
||||
// Force a VRAM poll to update free memory space
|
||||
setTimeout(() => pollNvidiaVram(true), 1000);
|
||||
@@ -866,6 +875,7 @@ let generationState = {
|
||||
step: 0,
|
||||
steps: 0,
|
||||
speed: "",
|
||||
decoding: false,
|
||||
};
|
||||
|
||||
function startModelDownload(url, overrideFilename = null) {
|
||||
|
||||
Reference in new issue
Block a user