Merge pull request #11 from techjarves/dev
add ModelManager component and infrastructure to support local model …
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@@ -86,9 +86,9 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution
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## 🛠️ Troubleshooting
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* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1`. (This preserves your models and generated images).
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* **Port Conflicts:** The application binds to ports `1420` (Frontend) and `8080` (Backend API). Ensure these are free.
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* **Port Conflicts:** The frontend uses `1420` by default. The backend tries `8080` first, then automatically falls back to a free port if `8080` is already busy.
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---
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## 📝 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file. Bundles [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) (MIT License). Model weights are subject to their respective creators' licenses.
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file. Bundles [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) (MIT License). Model weights are subject to their respective creators' licenses.
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Vendored
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fe=ne.settings,pe=fe.model?fe.model.split(/[\\/]/).pop():null,Ne=G?G.split(/[\\/]/).pop():null;(pe!==Ne||parseInt(fe.steps)!==parseInt(_.steps)||Math.abs(parseFloat(fe.cfgScale)-parseFloat(_.cfgScale))>.05||fe.sampler!==_.sampler||parseInt(fe.threads)!==parseInt(_.threads)||!!fe.useGpu!=(_.useGpu!==!1)||(fe.backendType||(fe.useGpu===!1?"cpu":"auto"))!==(_.backendType||(_.useGpu===!1?"cpu":"auto")))&&(Y=!0)}else Y=!0}catch{Y=!0}if(Y)try{console.log("Settings out of sync, restarting backend..."),await Qs(G,_);let ne=!1,fe=null;for(let pe=0;pe<240;pe++){const Ne=await Nl();if(Ne.loading&&w({progress:Ne.loading.progress||0,phase:Ne.loading.phase||"Loading model...",speed:Ne.loading.speed||"",current:Ne.loading.current||0,total:Ne.loading.total||0,backendMode:Ne.loading.backendMode||Ne.settings?.backendMode||"",device:Ne.loading.device||Ne.settings?.backendDevice||""}),Ne.ready){ne=!0;break}if(Ne.error){fe=Ne.error;break}if(!Ne.running&&pe>3){fe="The backend process terminated immediately 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rt=0;if(fe)rt=3;else{const St=parseFloat(ct);if(!isNaN(St)&&St>0){const wt=Math.max(0,Ne-pe);ct.includes("it/s")?rt=wt/St:ct.includes("s/it")&&(rt=wt*St)}else{const wt=Pe?le:He;rt=Math.max(0,(Ne-pe)*wt)}}if(Pe&&!ll){const St=ct.includes("it/s")&&numericSpeed<.2,wt=ct.includes("s/it")&&numericSpeed>5;(St||wt)&&(ll=!0,C(!0))}ye(Math.round(rt))}else L(fe=>Math.min(15,fe+1)),ye(fe=>Math.max(1,fe-1))}catch(ne){console.warn("Failed to get generation progress, running simulation fallback:",ne),Pe&&!ll&&We>_.steps*le*1.3&&(ll=!0,C(!0),jt=He,xa=We,_a=Math.min(95,Math.round(We/(_.steps*le)*100)));let fe=Math.min(_.steps-1,Math.floor(We/jt)),pe=_.steps*jt;if(We>=pe){const Re=Math.ceil(We/Math.max(.5,fe));jt=Math.max(jt+15,Re+15),pe=_.steps*jt,fe=Math.min(_.steps-1,Math.floor(We/jt))}const Ne=Math.max(1,pe-We);ye(Math.round(Ne));let ct=0;if(ll){const Re=99-_a,rt=pe-xa;if(rt>0){const St=Math.min(1,(We-xa)/rt);if(St<.85)ct=Math.round(_a+St*Re);else{const wt=(We-(xa+rt*.85))/(jt*2),fl=1-Math.exp(-wt);ct=Math.min(99,Math.round(_a+.85*Re+.14*Re*fl))}}else ct=99}else if(We<pe*.85)ct=Math.round(We/pe*100);else{const Re=(We-pe*.85)/(jt*2),rt=1-Math.exp(-Re);ct=Math.min(99,Math.round(85+14*rt))}ht.current||L(Re=>Math.max(Re,ct))}},1e3);try{ot.current=new AbortController;const ne=await Zy(f,E,_,G,null,Re=>L(rt=>Math.max(rt,Re)),ot.current.signal);it.current&&clearInterval(it.current),L(100),nt(_.steps),ye(0),Ye("");const fe={prompt:f,negativePrompt:E,seed:ne.seed,steps:_.steps,cfgScale:_.cfgScale,width:_.width,height:_.height,sampler:_.sampler,model:G,duration_sec:ne.duration_sec,timestamp:new Date().toLocaleTimeString()};let pe=null,Ne=null;try{if(pe=await Xy(ne.image,fe),Ne=pe.url,!Ne)throw new Error("The local server saved the image but did not return a file URL.")}catch(Re){throw console.error("Generated image could not be saved:",Re),new Error(`Image generated but could not be saved to USB: ${Re.mLine truncated
|
||||
|
||||
${sl}
|
||||
|
||||
Update the UI status anyway?`,confirmLabel:"Update UI"})&&(b(D),r(!0)):await G({title:"Backend Not Running",message:`C++ backend server is not running on port ${Tt}.
|
||||
|
||||
To run locally, start:
|
||||
|
||||
${sl}
|
||||
|
||||
Proceed in Simulation Mode instead?`,confirmLabel:"Proceed"})&&(b(D),r(!1));return}ue(D),Ce({progress:0,phase:"Starting backend...",speed:"",current:0,total:0,model:D,backendMode:"",backendBinary:"",device:""});try{const It=await Qs(D,_);console.log(It);let sl=!1,ut=null;for(let Y=0;Y<240;Y++){const le=await Nl();if(le.loading&&Ce({progress:le.loading.progress||0,phase:le.loading.phase||"Loading model...",speed:le.loading.speed||"",current:le.loading.current||0,total:le.loading.total||0,model:le.loading.model||D,backendMode:le.loading.backendMode||le.settings?.backendMode||"",backendBinary:le.loading.backendBinary||le.settings?.backendBinary||"",device:le.loading.device||le.settings?.backendDevice||""}),le.ready){sl=!0;break}if(le.error){ut=le.error;break}if(!le.running&&Y>3){ut="The backend process terminated immediately on startup.";break}await new Promise(He=>setTimeout(He,500))}if(sl)Ce(Y=>({...Y||{},progress:100,phase:"Model ready",speed:"",current:Y?.current||0,total:Y?.total||0,model:D})),b(D),r(!0);else throw new Error(ut||`Model server failed to respond on port ${Tt}.`)}catch(It){console.error("Failed to load model:",It),N({title:"Model Load Failed",message:It.message||String(It),danger:!0})}finally{setTimeout(()=>Ce(null),800),ue(null)}},it=async()=>{const D=Ye;x(null),await ot(),D&&await Ee(D)},ot=async()=>{if(ye)return;Ve(!0),Ke({progress:10,phase:"Stopping backend process..."});const D=setInterval(async()=>{try{const R=await Nl();R.unloading?.active?Ke({progress:R.unloading.progress||50,phase:R.unloading.phase||"Unloading model..."}):Ke(I=>({progress:Math.min(95,I.progress+10),phase:I.phase||"Unloading model..."}))}catch{}},300);try{await Vs(),Ke({progress:100,phase:"Model unloaded"}),b(null),x(null),r(!1)}catch(R){console.error(R),N({title:"Unload Failed",message:R.message||String(R),danger:!0})}finally{clearInterval(D),setTimeout(()=>{Ve(!1),Ke({progress:0,phase:""})},500)}},ht=async D=>{if(await G({title:"Delete Model?",message:`Delete "${D}" from your drive?`,confirmLabel:"Delete",danger:!0}))try{await Jy(D),await w(),f===D&&await ot()}catch(R){console.error("Failed to delete model:",R),N({title:"Delete Failed",message:R.message||String(R),danger:!0})}},cl=async(D,R)=>{const I=new AbortController;_t(I),Qe(0),Me({filename:R,speed:"0.0",eta:0,status:"Initiating file copy..."});try{await Vy(D,P=>{Qe(Math.round(P.progress)),Me({filename:P.filename,speed:P.speed_mb_s.toFixed(1),eta:Math.round(P.eta_secs),status:P.status})},I.signal),await w()}catch(P){console.error("Import failed:",P),P.name!=="AbortError"&&N({title:"Import Failed",message:P.message||String(P),danger:!0})}finally{Qe(null),_t(null)}},Ut=()=>{ft&&ft.abort()},k=D=>{const R=D.target.files[0];R&&cl(R,R.name),D.target.value=""},se=!!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."}),(C.backendMode||C.backendDevice||C.backendBinary)&&c.jsxs("div",{style:{display:"flex",flexWrap:"wrap",gap:"8px",marginTop:"10px"},children:[C.backendMode&&c.jsxs("span",{className:"status-chip",style:{cursor:"default"},children:[c.jsx(bu,{size:14}),c.jsxs("span",{children:["Loaded on ",C.backendMode]})]}),C.backendDevice&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:C.backendDevice})}),C.backendBinary&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:C.backendBinary})})]})]}),c.jsxs("button",{className:"m3-btn m3-btn-error",onClick:ot,disabled:ye||W!==null,children:[ye?c.jsx(ea,{className:"progress-spinner",size:16}):c.jsx(li,{size:16}),c.jsx("span",{children:ye?"Unloading":"Unload Server"})]})]})}),ye&&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:nt.phase||"Unloading model..."}),c.jsxs("span",{children:[Math.round(nt.progress),"%"]})]}),c.jsx("div",{className:"model-progress-bar",child
Line truncated
|
||||
|
||||
Models and generated outputs are not included.`,confirmLabel:"Clean",danger:!0})){ye(!0);try{await Ry(Se.map(D=>D.id)),await ae()}catch(D){N({title:"Cleanup Failed",message:D.message||String(D),danger:!0})}finally{ye(!1)}}},[Se,ae,N,_]);U.useEffect(()=>{async function k(){const se=await Yy();Ye(se)}k()},[]),U.useEffect(()=>{V?localStorage.setItem("active-model",V):localStorage.removeItem("active-model")},[V]),U.useEffect(()=>{let k=null;async function se(){const D=await Nl();if(!!D.ready){k&&clearInterval(k);const I=localStorage.getItem("active-model");if(I)W(I),F(!0);else{try{if(D&&D.settings&&D.settings.model){const P=D.settings.model.split(/[\\/]/).pop();W(P)}}catch{}F(!0)}}else if(!(typeof window<"u"&&window.__TAURI_INTERNALS__!==void 0)){const P=localStorage.getItem("active-model");P&&(W(P),F(!1))}}return se(),k=setInterval(se,2e3),()=>{k&&clearInterval(k)}},[]),U.useEffect(()=>{async function k(){try{const D=await Gy();w(R=>R.cpu_usage===D.cpu_usage&&R.ram_used_gb===D.ram_used_gb&&R.ram_total_gb===D.ram_total_gb&&R.gpu_name===D.gpu_name&&R.vram_used_gb===D.vram_used_gb&&R.vram_total_gb===D.vram_total_gb?R:D)}catch{}}k();const se=setInterval(k,1500);return()=>clearInterval(se)},[]),U.useEffect(()=>{if(V){const k=V.toLowerCase();k.includes("flux")||k.includes("schnell")?J(se=>({...se,steps:4,cfgScale:1,width:1024,height:1024})):k.includes("lightning")||k.includes("turbo")?J(se=>({...se,steps:4,cfgScale:1.5,width:1024,height:1024})):k.includes("sd15")?J(se=>({...se,steps:25,cfgScale:7,width:512,height:512})):k.includes("sd35")?J(se=>({...se,steps:20,cfgScale:4.5,width:1024,height:1024})):J(se=>({...se,steps:20,cfgScale:7,width:512,height:512}))}},[V]);const Ee=U.useMemo(()=>{switch(B){case"generator":return c.jsx(t1,{prompt:A,setPrompt:O,negativePrompt:L,setNegativePrompt:Z,constraints:q,setConstraints:J,activeModel:V,generatedImages:Ke,setGeneratedImages:Ye,isGenerating:x,setIsGenerating:C,generationProgress:K,setGenerationProgress:ge,setActiveTab:y,showAlert:N,showConfirm:_});case"models":return c.jsx(n1,{activeModel:V,setActiveModel:W,serverRunning:ue,setServerRunning:F,constraints:q,showAlert:N,showConfirm:_});case"constraints":return c.jsx(c1,{constraints:q,setConstraints:J,activeModel:V,specs:re,backendOptions:Qe});default:return null}},[B,A,L,q,V,Ke,x,K,ue,re,Qe,N,_]),it=U.useMemo(()=>c.jsx(My,{activeTab:B,setActiveTab:y,specs:re}),[B,re]),ot=U.useCallback(async()=>{if(!(!ue||Ce)){Te(!0);try{await Vs(),F(!1),W(null)}catch(k){console.error("Failed to stop server:",k),N({title:"Stop Server Failed",message:k.message||String(k),danger:!0})}finally{Te(!1)}}},[ue,Ce,N]),ht=[...Me?.stale?["Restart Local AI Image Generator so the local server loads the latest API."]:[],...Me?.issues||[]],cl=Se.reduce((k,se)=>k+Number(se.sizeBytes||0),0),Ut=!!(Me&&(ht.length>0||Se.length>0));return c.jsxs("div",{className:"app-container",children:[it,c.jsxs("div",{className:"main-content",children:[c.jsx(Ny,{telemetry:j,serverRunning:ue,activeModel:V,onStopServer:ot,isStoppingServer:Ce,theme:G,setTheme:H}),Ut&&c.jsxs("div",{className:`m3-card readiness-card ${Me?.stale||ht.length>0?"readiness-card-warning":""}`,children:[c.jsxs("div",{className:"readiness-header",children:[c.jsxs("div",{children:[c.jsx("h3",{className:"m3-card-title",style:{marginBottom:"4px"},children:Me?.stale?"Restart Required":ht.length>0?"System Readiness":"Safe Cleanup Available"}),c.jsx("p",{className:"m3-card-subtitle",style:{margin:0},children:Me?.stale?`Running server build: ${Me.build||"unknown"}`:ht.length>0?"Local AI Image Generator found setup items that may need attention.":`${Se.length} temporary item${Se.length===1?"":"s"} can be cleaned (${ai(cl)}).`})]}),c.jsxs("div",{className:"readiness-actions",children:[c.jsx("button",{className:"m3-btn m3-btn-outlined",onClick:ae,disabled:_t,children:_t?"Checking":"Refresh"}),c.jsx("button",{className:"m3-btn m3-btn-tonal",onClick:de,children:Ve?"Copied":"Copy Diagnostics"}),Se.length>0&&c.jsxs("button",{className:"m3-btn m3-btn-error",onClick:ke,disabled:_t,children:["Clean ",ai(cl)]})]})]}),ht.length>0&&c.jsx("div",{className:"readiness-issues",children:ht.slice(0,4).map(k=>c.jsx("span",{children:k},k))}),Se.length>0&&c.jsx("div",{className:"readiness-cleanup-list",children:Se.slice(0,3).map(k=>c.jsxs("span",{title:k.path,children:[k.name," · ",k.size," · ",k.reason]},k.id))})]}),Ee]}),b&&c.jsx("div",{className:"app-dialog-backdrop",role:"presentation",children:c.jsxs("div",{className:"app-dialog",role:"dialog","aria-modal":"true","aria-labelledby":"app-dialog-title",children:[c.jsx("h3",{id:"app-dialog-title",className:"app-dialog-title",children:b.title}),c.jsx("p",{className:"app-dialog-message",children:b.message}),c.jsxs("div",{className:"app-dialog-actions",children:[b.type==="confirm"&&c.jsx("button",{className:"m3-btn m3-btn-outlined",onClick:()=>r(!1),children:b.cancelLabel}),c.jsx("button",{className:`m3-btn ${b.danger?"m3-btn-error":"m3-btn-filled"}`,onClick:()=>r(!0),children:b.conf
Line truncated
|
||||
Vendored
+1
-1
@@ -8,7 +8,7 @@
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<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>
|
||||
<script type="module" crossorigin src="/assets/index-CBtRYlFE.js"></script>
|
||||
<script type="module" crossorigin src="/assets/index-CL30r104.js"></script>
|
||||
<link rel="stylesheet" crossorigin href="/assets/index-DW6G7wc2.css">
|
||||
</head>
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import React, { memo, useState, useRef, useCallback } from "react";
|
||||
import { Sparkles, Download, Copy, RefreshCw, Check, Sliders, Layers, Trash2 } from "lucide-react";
|
||||
import { Sparkles, Download, Copy, RefreshCw, Check, Sliders, Trash2 } from "lucide-react";
|
||||
import { generateImage, startServer, stopServer, waitForServerReady, getBackendStatus, getGenerationProgress, saveGeneratedOutput, deleteGeneratedOutputs } from "../services/api";
|
||||
|
||||
const GalleryItem = memo(({ img, idx, isSelected, onClick }) => {
|
||||
@@ -600,10 +600,6 @@ function Generator({
|
||||
<RefreshCw size={14} />
|
||||
<span>Steps: {constraints.steps}</span>
|
||||
</div>
|
||||
<div className="status-chip" onClick={() => setActiveTab("constraints")}>
|
||||
<Layers size={14} />
|
||||
<span>CFG: {constraints.cfgScale.toFixed(1)}</span>
|
||||
</div>
|
||||
<div className="status-chip" onClick={() => setActiveTab("constraints")}>
|
||||
<Sparkles size={14} />
|
||||
<span>Sampler: {constraints.sampler}</span>
|
||||
|
||||
@@ -209,26 +209,6 @@ function ImageConstraints({ constraints, setConstraints, activeModel, specs, bac
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{/* CFG Scale Slider */}
|
||||
<div className="m3-slider-group" style={{ marginTop: "8px" }}>
|
||||
<div className="m3-slider-header">
|
||||
<span className="m3-slider-label">Prompt Strictness (Instruction obedience)</span>
|
||||
<span className="m3-slider-value">{constraints.cfgScale.toFixed(1)}</span>
|
||||
</div>
|
||||
<input
|
||||
type="range"
|
||||
className="m3-slider"
|
||||
value={constraints.cfgScale}
|
||||
onChange={(e) => updateConstraint("cfgScale", parseFloat(e.target.value))}
|
||||
min="1"
|
||||
max="15"
|
||||
step="0.5"
|
||||
/>
|
||||
<span style={{ fontSize: "0.75rem", color: "var(--md-sys-color-outline)", lineHeight: "1.3" }}>
|
||||
How closely the AI follows your text prompt. Lower = more creative. Higher = more strict.
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{/* Random Seed DNA */}
|
||||
<div className="m3-text-field" style={{ marginTop: "8px" }}>
|
||||
<label className="m3-text-field-label">Image Blueprint (DNA Seed)</label>
|
||||
|
||||
@@ -250,10 +250,12 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
|
||||
const performLoadModel = async (modelId) => {
|
||||
const isTauriDesktop = typeof window !== "undefined" && window.__TAURI_INTERNALS__ !== undefined;
|
||||
const isLocalServerMode = typeof window !== "undefined" && (window.location.hostname === "localhost" || window.location.hostname === "127.0.0.1");
|
||||
const backendStatus = await getBackendStatus();
|
||||
const backendPort = backendStatus?.port || 8080;
|
||||
|
||||
if (!isTauriDesktop && !isLocalServerMode) {
|
||||
const isAlreadyRunning = await pingServer();
|
||||
const cmd = `.\\backend\\win\\vulkan\\sd-vulkan.exe --listen-port 8080 --model .\\models\\${modelId} --threads 8`;
|
||||
const cmd = `.\\backend\\win\\vulkan\\sd-vulkan.exe --listen-port ${backendPort} --model .\\models\\${modelId} --threads 8`;
|
||||
|
||||
if (isAlreadyRunning) {
|
||||
if (await showConfirm({ title: "Web Browser Mode", message: `To load "${modelId}" on the active GPU server, restart your terminal backend with:\n\n${cmd}\n\nUpdate the UI status anyway?`, confirmLabel: "Update UI" })) {
|
||||
@@ -261,7 +263,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
|
||||
setServerRunning(true);
|
||||
}
|
||||
} else {
|
||||
if (await showConfirm({ title: "Backend Not Running", message: `C++ backend server is not running on port 8080.\n\nTo run locally, start:\n\n${cmd}\n\nProceed in Simulation Mode instead?`, confirmLabel: "Proceed" })) {
|
||||
if (await showConfirm({ title: "Backend Not Running", message: `C++ backend server is not running on port ${backendPort}.\n\nTo run locally, start:\n\n${cmd}\n\nProceed in Simulation Mode instead?`, confirmLabel: "Proceed" })) {
|
||||
setActiveModel(modelId);
|
||||
setServerRunning(false);
|
||||
}
|
||||
@@ -330,7 +332,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
|
||||
setActiveModel(modelId);
|
||||
setServerRunning(true);
|
||||
} else {
|
||||
throw new Error(crashError || "Model server failed to respond on port 8080.");
|
||||
throw new Error(crashError || `Model server failed to respond on port ${backendPort}.`);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("Failed to load model:", e);
|
||||
|
||||
@@ -8,12 +8,32 @@ export const isTauri = () => {
|
||||
|
||||
// Cached hardware specs
|
||||
let cachedSpecs = null;
|
||||
let cachedBackendPort = null;
|
||||
export const EXPECTED_SERVER_BUILD = "polish-setup-v1";
|
||||
|
||||
const isLocalServerMode = () => {
|
||||
return typeof window !== "undefined" && (window.location.hostname === "localhost" || window.location.hostname === "127.0.0.1");
|
||||
};
|
||||
|
||||
async function getBackendPort() {
|
||||
if (isLocalServerMode()) {
|
||||
try {
|
||||
const status = await getBackendStatus();
|
||||
const port = Number(status?.port);
|
||||
if (Number.isInteger(port) && port > 0) {
|
||||
cachedBackendPort = port;
|
||||
return port;
|
||||
}
|
||||
} catch (_) {}
|
||||
}
|
||||
if (cachedBackendPort) return cachedBackendPort;
|
||||
return 8080;
|
||||
}
|
||||
|
||||
async function getBackendBaseUrl() {
|
||||
return `http://127.0.0.1:${await getBackendPort()}`;
|
||||
}
|
||||
|
||||
export function formatBytes(bytes) {
|
||||
const value = Number(bytes) || 0;
|
||||
if (value <= 0) return "0 B";
|
||||
@@ -208,10 +228,11 @@ export async function listLocalModels() {
|
||||
// In web/portable mode this calls serve.cjs management API which restarts the
|
||||
// sd-vulkan.exe process with --steps, --cfg-scale, --sampling-method flags.
|
||||
export async function startServer(modelPath, constraints) {
|
||||
const backendPort = await getBackendPort();
|
||||
if (isTauri()) {
|
||||
const launchParams = {
|
||||
model_path: modelPath,
|
||||
port: 8080,
|
||||
port: backendPort,
|
||||
use_gpu: constraints.useGpu !== false,
|
||||
backend_type: constraints.backendType || (constraints.useGpu === false ? "cpu" : "auto"),
|
||||
threads: constraints.threads || 8,
|
||||
@@ -242,6 +263,9 @@ export async function startServer(modelPath, constraints) {
|
||||
if (!res.ok || data.ok === false) {
|
||||
throw new Error(data.error || `Backend restart failed (HTTP ${res.status})`);
|
||||
}
|
||||
if (Number.isInteger(Number(data.port)) && Number(data.port) > 0) {
|
||||
cachedBackendPort = Number(data.port);
|
||||
}
|
||||
console.log("Backend restart:", data.message);
|
||||
return data.message;
|
||||
} catch (e) {
|
||||
@@ -320,8 +344,7 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM
|
||||
console.log("Initiating image generation:", { prompt, negativePrompt, constraints, activeModelName });
|
||||
const startTime = Date.now();
|
||||
|
||||
const port = 8080;
|
||||
const baseUrl = `http://127.0.0.1:${port}`;
|
||||
const baseUrl = await getBackendBaseUrl();
|
||||
|
||||
// Prepare payload based on standard stable-diffusion.cpp REST endpoint schemas
|
||||
const payload = {
|
||||
@@ -738,8 +761,7 @@ export async function deleteModel(filename) {
|
||||
|
||||
// Ping the server to check if it is active and responding
|
||||
export async function pingServer() {
|
||||
const port = 8080;
|
||||
const baseUrl = `http://127.0.0.1:${port}`;
|
||||
const baseUrl = await getBackendBaseUrl();
|
||||
try {
|
||||
const response = await fetch(`${baseUrl}/v1/models`, { method: "GET" });
|
||||
return response.ok;
|
||||
|
||||
+38
-8
@@ -11,8 +11,14 @@ const os = require("os");
|
||||
const path = require("path");
|
||||
const { spawn, spawnSync, execSync, exec } = require("child_process");
|
||||
|
||||
const PORT_FRONTEND = process.env.PORT ? parseInt(process.env.PORT) : 1420;
|
||||
const PORT_BACKEND = 8080;
|
||||
function readPort(value, fallback) {
|
||||
const port = parseInt(value, 10);
|
||||
return Number.isInteger(port) && port > 0 && port < 65536 ? port : fallback;
|
||||
}
|
||||
|
||||
const PORT_FRONTEND = readPort(process.env.PORT || process.env.FRONTEND_PORT, 1420);
|
||||
const PREFERRED_BACKEND_PORT = readPort(process.env.BACKEND_PORT || process.env.SD_BACKEND_PORT, 8080);
|
||||
let PORT_BACKEND = PREFERRED_BACKEND_PORT;
|
||||
const MAX_JSON_BODY_BYTES = 64 * 1024 * 1024;
|
||||
const SERVER_BUILD = "polish-setup-v1";
|
||||
const ROOT = path.join(__dirname, "..");
|
||||
@@ -310,6 +316,21 @@ function checkPort(port) {
|
||||
});
|
||||
}
|
||||
|
||||
async function findAvailableBackendPort() {
|
||||
const preferred = await checkPort(PREFERRED_BACKEND_PORT);
|
||||
if (preferred.available) return PREFERRED_BACKEND_PORT;
|
||||
|
||||
for (let port = 28088; port <= 28120; port += 1) {
|
||||
const candidate = await checkPort(port);
|
||||
if (candidate.available) {
|
||||
console.log(` [backend] Preferred port ${PREFERRED_BACKEND_PORT} is busy; using ${port} instead.`);
|
||||
return port;
|
||||
}
|
||||
}
|
||||
|
||||
throw new Error(`No free backend port found. Tried ${PREFERRED_BACKEND_PORT} and 28088-28120.`);
|
||||
}
|
||||
|
||||
function getSetupPaths() {
|
||||
const appDir = path.join(ROOT, "app");
|
||||
if (osPlatform === "win32") {
|
||||
@@ -382,7 +403,9 @@ async function getHealth() {
|
||||
backend: { ...(await checkPort(PORT_BACKEND)), expectedInUse: backendProc !== null },
|
||||
};
|
||||
ports.frontend.ok = !ports.frontend.available;
|
||||
ports.backend.ok = backendProc !== null ? !ports.backend.available : ports.backend.available;
|
||||
ports.backend.preferred = PREFERRED_BACKEND_PORT;
|
||||
ports.backend.selected = PORT_BACKEND;
|
||||
ports.backend.ok = true;
|
||||
|
||||
const issues = checks
|
||||
.filter((check) => !check.ok && !["CUDA backend", "Vulkan backend", "Linux backend", "Mac backend"].includes(check.label))
|
||||
@@ -390,8 +413,6 @@ async function getHealth() {
|
||||
if (!backendInstalled) {
|
||||
issues.push(`No ${osPlatform === "win32" ? "Windows" : osPlatform === "darwin" ? "macOS" : "Linux"} backend binary is installed.`);
|
||||
}
|
||||
if (!ports.backend.ok) issues.push(`Port ${PORT_BACKEND} is already in use by another process.`);
|
||||
|
||||
return {
|
||||
ok: criticalOk && ports.backend.ok,
|
||||
build: SERVER_BUILD,
|
||||
@@ -657,7 +678,7 @@ function killBackend() {
|
||||
});
|
||||
}
|
||||
|
||||
function startBackend(settings = {}) {
|
||||
async function startBackend(settings = {}) {
|
||||
backendError = null;
|
||||
currentSettings = { ...currentSettings, ...settings };
|
||||
if (!currentSettings.model) currentSettings.model = getDefaultModel();
|
||||
@@ -666,6 +687,8 @@ function startBackend(settings = {}) {
|
||||
return;
|
||||
}
|
||||
|
||||
PORT_BACKEND = await findAvailableBackendPort();
|
||||
|
||||
const resolvedBackendType = resolveBackendType(currentSettings.useGpu, currentSettings.backendType);
|
||||
currentSettings.backendType = resolvedBackendType;
|
||||
currentSettings.useGpu = resolvedBackendType !== "cpu";
|
||||
@@ -1305,6 +1328,8 @@ const server = http.createServer(async (req, res) => {
|
||||
return json(res, 200, {
|
||||
ready: backendReady,
|
||||
running: backendProc !== null,
|
||||
port: PORT_BACKEND,
|
||||
preferredPort: PREFERRED_BACKEND_PORT,
|
||||
error: backendError,
|
||||
loading: backendLoadState,
|
||||
unloading: backendUnloadState,
|
||||
@@ -1359,8 +1384,13 @@ const server = http.createServer(async (req, res) => {
|
||||
}
|
||||
if (typeof body.vae_tiling === "boolean") newSettings.vaeTiling = body.vae_tiling;
|
||||
if (typeof body.vae_on_cpu === "boolean") newSettings.vaeOnCpu = body.vae_on_cpu;
|
||||
startBackend(newSettings);
|
||||
return json(res, 200, { ok: true, message: "Backend restarting...", settings: currentSettings });
|
||||
try {
|
||||
await startBackend(newSettings);
|
||||
return json(res, 200, { ok: true, message: "Backend restarting...", settings: currentSettings, port: PORT_BACKEND });
|
||||
} catch (err) {
|
||||
backendError = err.message || String(err);
|
||||
return json(res, 500, { ok: false, error: backendError, port: PORT_BACKEND });
|
||||
}
|
||||
}
|
||||
|
||||
// POST /api/stop-backend
|
||||
|
||||
@@ -10,6 +10,7 @@ set SETUP=%~dp0scripts\setup.ps1
|
||||
set CUDA_BACKEND=%APP%\backend\win\cuda\sd-cuda.exe
|
||||
set VULKAN_BACKEND=%APP%\backend\win\vulkan\sd-vulkan.exe
|
||||
set SERVE=%~dp0scripts\serve.cjs
|
||||
if "%FRONTEND_PORT%"=="" set FRONTEND_PORT=1420
|
||||
set SETUP_REASON=
|
||||
set SETUP_MODE=Repair
|
||||
|
||||
@@ -49,9 +50,8 @@ echo.
|
||||
echo Press any key to continue, or Ctrl+C to cancel.
|
||||
pause >nul
|
||||
|
||||
:: Clear old local server processes before setup so app/tools/node-win can be replaced
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":8080 "') do taskkill /f /pid %%a >nul 2>nul
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":1420 "') do taskkill /f /pid %%a >nul 2>nul
|
||||
:: Clear old frontend server process before setup so app/tools/node-win can be replaced
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":%FRONTEND_PORT% "') do taskkill /f /pid %%a >nul 2>nul
|
||||
|
||||
powershell -ExecutionPolicy Bypass -File "%SETUP%"
|
||||
if errorlevel 1 (
|
||||
@@ -73,10 +73,9 @@ echo LOCAL AI IMAGE GENERATOR ^| Launching...
|
||||
echo ============================================================
|
||||
echo.
|
||||
|
||||
:: Kill anything on our ports
|
||||
echo Clearing ports 8080 and 1420...
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":8080 "') do taskkill /f /pid %%a >nul 2>nul
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":1420 "') do taskkill /f /pid %%a >nul 2>nul
|
||||
:: Clear only the frontend port. The backend auto-selects a free port.
|
||||
echo Clearing frontend port %FRONTEND_PORT%...
|
||||
for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":%FRONTEND_PORT% "') do taskkill /f /pid %%a >nul 2>nul
|
||||
|
||||
:: Start frontend server + backend manager (serve.cjs manages sd-vulkan.exe)
|
||||
echo Starting Local AI Image Generator...
|
||||
@@ -86,14 +85,14 @@ start "SD-Server" /min "%NODE%" "%SERVE%"
|
||||
timeout /t 2 >nul
|
||||
|
||||
:: Open browser
|
||||
echo Opening browser at http://localhost:1420
|
||||
start http://localhost:1420
|
||||
echo Opening browser at http://localhost:%FRONTEND_PORT%
|
||||
start http://localhost:%FRONTEND_PORT%
|
||||
|
||||
echo.
|
||||
echo ============================================================
|
||||
echo Running!
|
||||
echo Web UI: http://localhost:1420
|
||||
echo GPU API: http://127.0.0.1:8080
|
||||
echo Web UI: http://localhost:%FRONTEND_PORT%
|
||||
echo GPU API: Auto-selected by the app (starts at 8080)
|
||||
echo.
|
||||
echo Close this window to stop all services.
|
||||
echo ============================================================
|
||||
@@ -103,4 +102,4 @@ pause >nul
|
||||
:: Cleanup on exit
|
||||
echo Shutting down...
|
||||
taskkill /fi "WINDOWTITLE eq SD-Server*" /f >nul 2>nul
|
||||
echo Done. Goodbye!
|
||||
echo Done. Goodbye!
|
||||
Reference in new issue
Block a user