From b13fcc103902c147541cc42a117b5a7c81a7ea77 Mon Sep 17 00:00:00 2001 From: Jaret Burkett Date: Tue, 18 Feb 2025 10:57:14 -0700 Subject: [PATCH 01/35] Setup a very basic ui --- ui/.gitignore | 42 + ui/README.md | 36 + ui/next.config.ts | 7 + ui/package-lock.json | 3986 +++++++++++++++++++++++++++ ui/package.json | 32 + ui/postcss.config.mjs | 8 + ui/prisma/schema.prisma | 23 + ui/public/file.svg | 1 + ui/public/globe.svg | 1 + ui/public/next.svg | 1 + ui/public/ostris_logo.png | Bin 0 -> 22469 bytes ui/public/vercel.svg | 1 + ui/public/window.svg | 1 + ui/src/app/api/settings/route.ts | 38 + ui/src/app/api/training/route.ts | 55 + ui/src/app/dashboard/page.tsx | 15 + ui/src/app/favicon.ico | Bin 0 -> 25931 bytes ui/src/app/globals.css | 21 + ui/src/app/layout.tsx | 27 + ui/src/app/page.tsx | 5 + ui/src/app/settings/page.tsx | 114 + ui/src/app/train/options.ts | 37 + ui/src/app/train/page.tsx | 150 + ui/src/components/Sidebar.tsx | 38 + ui/src/components/ThemeProvider.tsx | 11 + ui/tailwind.config.ts | 31 + ui/tsconfig.json | 27 + 27 files changed, 4708 insertions(+) create mode 100644 ui/.gitignore create mode 100644 ui/README.md create mode 100644 ui/next.config.ts create mode 100644 ui/package-lock.json create mode 100644 ui/package.json create mode 100644 ui/postcss.config.mjs create mode 100644 ui/prisma/schema.prisma create mode 100644 ui/public/file.svg create mode 100644 ui/public/globe.svg create mode 100644 ui/public/next.svg create mode 100644 ui/public/ostris_logo.png create mode 100644 ui/public/vercel.svg create mode 100644 ui/public/window.svg create mode 100644 ui/src/app/api/settings/route.ts create mode 100644 ui/src/app/api/training/route.ts create mode 100644 ui/src/app/dashboard/page.tsx create mode 100644 ui/src/app/favicon.ico create mode 100644 ui/src/app/globals.css create mode 100644 ui/src/app/layout.tsx create mode 100644 ui/src/app/page.tsx create mode 100644 ui/src/app/settings/page.tsx create mode 100644 ui/src/app/train/options.ts create mode 100644 ui/src/app/train/page.tsx create mode 100644 ui/src/components/Sidebar.tsx create mode 100644 ui/src/components/ThemeProvider.tsx create mode 100644 ui/tailwind.config.ts create mode 100644 ui/tsconfig.json diff --git a/ui/.gitignore b/ui/.gitignore new file mode 100644 index 00000000..421d02ee --- /dev/null +++ b/ui/.gitignore @@ -0,0 +1,42 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts +aitk_db.db diff --git a/ui/README.md b/ui/README.md new file mode 100644 index 00000000..e215bc4c --- /dev/null +++ b/ui/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/ui/next.config.ts b/ui/next.config.ts new file mode 100644 index 00000000..5e891cf0 --- /dev/null +++ b/ui/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from 'next'; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export default nextConfig; diff --git a/ui/package-lock.json b/ui/package-lock.json new file mode 100644 index 00000000..32ffebd3 --- /dev/null +++ b/ui/package-lock.json @@ -0,0 +1,3986 @@ +{ + "name": "ai-toolkit-ui", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ai-toolkit-ui", + "version": "0.1.0", + "dependencies": { + "@prisma/client": "^6.3.1", + "lucide-react": "^0.475.0", + "next": "15.1.7", + "prisma": "^6.3.1", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "sqlite3": "^5.1.7" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^19", + 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"start": "next start", + "lint": "next lint", + "format": "prettier --write \"**/*.{js,jsx,ts,tsx,css,scss}\"" + }, + "dependencies": { + "@prisma/client": "^6.3.1", + "lucide-react": "^0.475.0", + "next": "15.1.7", + "prisma": "^6.3.1", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "sqlite3": "^5.1.7" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "postcss": "^8", + "prettier": "^3.5.1", + "prettier-basic": "^1.0.0", + "tailwindcss": "^3.4.1", + "typescript": "^5" + }, + "prettier": "prettier-basic" +} diff --git a/ui/postcss.config.mjs b/ui/postcss.config.mjs new file mode 100644 index 00000000..1a69fd2a --- /dev/null +++ b/ui/postcss.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('postcss-load-config').Config} */ +const config = { + plugins: { + tailwindcss: {}, + }, +}; + +export default config; diff --git a/ui/prisma/schema.prisma b/ui/prisma/schema.prisma new file mode 100644 index 00000000..66bf99ec --- /dev/null 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a/ui/src/app/api/settings/route.ts b/ui/src/app/api/settings/route.ts new file mode 100644 index 00000000..3346f0a9 --- /dev/null +++ b/ui/src/app/api/settings/route.ts @@ -0,0 +1,38 @@ +import { NextResponse } from 'next/server'; +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); + +export async function GET() { + try { + const settings = await prisma.settings.findMany(); + return NextResponse.json(settings.reduce((acc, curr) => ({ ...acc, [curr.key]: curr.value }), {})); + } catch (error) { + return NextResponse.json({ error: 'Failed to fetch settings' }, { status: 500 }); + } +} + +export async function POST(request: Request) { + try { + const body = await request.json(); + const { HF_TOKEN, TRAINING_FOLDER } = body; + + // Upsert both settings + await Promise.all([ + prisma.settings.upsert({ + where: { key: 'HF_TOKEN' }, + update: { value: HF_TOKEN }, + create: { key: 'HF_TOKEN', value: HF_TOKEN }, + }), + prisma.settings.upsert({ + where: { key: 'TRAINING_FOLDER' }, + update: { value: TRAINING_FOLDER }, + create: { key: 'TRAINING_FOLDER', value: TRAINING_FOLDER }, + }), + ]); + + return NextResponse.json({ success: true }); + } catch (error) { + return NextResponse.json({ error: 'Failed to update settings' }, { status: 500 }); + } +} diff --git a/ui/src/app/api/training/route.ts b/ui/src/app/api/training/route.ts new file mode 100644 index 00000000..1020bd24 --- /dev/null +++ b/ui/src/app/api/training/route.ts @@ -0,0 +1,55 @@ +import { NextResponse } from 'next/server'; +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); + +export async function GET(request: Request) { + const { searchParams } = new URL(request.url); + const id = searchParams.get('id'); + + try { + if (id) { + const training = await prisma.training.findUnique({ + where: { id }, + }); + return NextResponse.json(training); + } + + const trainings = await prisma.training.findMany({ + orderBy: { created_at: 'desc' }, + }); + return NextResponse.json(trainings); + } catch (error) { + return NextResponse.json({ error: 'Failed to fetch training data' }, { status: 500 }); + } +} + +export async function POST(request: Request) { + try { + const body = await request.json(); + const { id, name, run_data } = body; + + if (id) { + // Update existing training + const training = await prisma.training.update({ + where: { id }, + data: { + name, + run_data: JSON.stringify(run_data), + }, + }); + return NextResponse.json(training); + } else { + // Create new training + const training = await prisma.training.create({ + data: { + name, + run_data: JSON.stringify(run_data), + }, + }); + return NextResponse.json(training); + } + } catch (error) { + return NextResponse.json({ error: 'Failed to save training data' }, { status: 500 }); + } +} diff --git a/ui/src/app/dashboard/page.tsx b/ui/src/app/dashboard/page.tsx new file mode 100644 index 00000000..4c9eb54d --- /dev/null +++ b/ui/src/app/dashboard/page.tsx @@ -0,0 +1,15 @@ +export default function Dashboard() { + return ( +
+

Dashboard

+
+ {[1, 2, 3].map(i => ( +
+

Card {i}

+

Example dashboard card content

+
+ ))} +
+
+ ); +} diff --git a/ui/src/app/favicon.ico b/ui/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c GIT binary patch literal 25931 zcmeHv30#a{`}aL_*G&7qml|y<+KVaDM2m#dVr!KsA!#An?kSQM(q<_dDNCpjEux83 zLb9Z^XxbDl(w>%i@8hT6>)&Gu{h#Oeyszu?xtw#Zb1mO{pgX9699l+Qppw7jXaYf~-84xW z)w4x8?=youko|}Vr~(D$UXIbiXABHh`p1?nn8Po~fxRJv}|0e(BPs|G`(TT%kKVJAdg5*Z|x0leQq0 zkdUBvb#>9F()jo|T~kx@OM8$9wzs~t2l;K=woNssA3l6|sx2r3+kdfVW@e^8e*E}v zA1y5{bRi+3Z`uD3{F7LgFJDdvm;nJilkzDku>BwXH(8ItVCXk*-lSJnR?-2UN%hJ){&rlvg`CDTj z)Bzo!3v7Ou#83zEDEFcKt(f1E0~=rqeEbTnMvWR#{+9pg%7G8y>u1OVRUSoox-ovF z2Ydma(;=YuBY(eI|04{hXzZD6_f(v~H;C~y5=DhAC{MMS>2fm~1H_t2$56pc$NH8( z5bH|<)71dV-_oCHIrzrT`2s-5w_+2CM0$95I6X8p^r!gHp+j_gd;9O<1~CEQQGS8) zS9Qh3#p&JM-G8rHekNmKVewU;pJRcTAog68KYo^dRo}(M>36U4Us zfgYWSiHZL3;lpWT=zNAW>Dh#mB!_@Lg%$ms8N-;aPqMn+C2HqZgz&9~Eu z4|Kp<`$q)Uw1R?y(~S>ePdonHxpV1#eSP1B;Ogo+-Pk}6#0GsZZ5!||ev2MGdh}_m 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'@/components/Sidebar'; +import { ThemeProvider } from '@/components/ThemeProvider'; + +const inter = Inter({ subsets: ['latin'] }); + +export const metadata: Metadata = { + title: 'Ostris - AI Toolkit', + description: 'A toolkit for building AI things.', +}; + +export default function RootLayout({ children }: { children: React.ReactNode }) { + return ( + + + +
+ +
{children}
+
+ + + + ); +} diff --git a/ui/src/app/page.tsx b/ui/src/app/page.tsx new file mode 100644 index 00000000..3b59b023 --- /dev/null +++ b/ui/src/app/page.tsx @@ -0,0 +1,5 @@ +import { redirect } from 'next/navigation'; + +export default function Home() { + redirect('/dashboard'); +} \ No newline at end of file diff --git a/ui/src/app/settings/page.tsx b/ui/src/app/settings/page.tsx new file mode 100644 index 00000000..6dc5f59b --- /dev/null +++ b/ui/src/app/settings/page.tsx @@ -0,0 +1,114 @@ +'use client'; + +import { useEffect, useState } from 'react'; + +export default function Settings() { + const [settings, setSettings] = useState({ + HF_TOKEN: '', + TRAINING_FOLDER: '', + }); + const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle'); + + useEffect(() => { + // Fetch current settings + fetch('/api/settings') + .then(res => res.json()) + .then(data => { + setSettings({ + HF_TOKEN: data.HF_TOKEN || '', + TRAINING_FOLDER: data.TRAINING_FOLDER || '', + }); + }) + .catch(error => console.error('Error fetching settings:', error)); + }, []); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setStatus('saving'); + + try { + const response = await fetch('/api/settings', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(settings), + }); + + if (!response.ok) throw new Error('Failed to save settings'); + + setStatus('success'); + setTimeout(() => setStatus('idle'), 2000); + } catch (error) { + console.error('Error saving settings:', error); + setStatus('error'); + setTimeout(() => setStatus('idle'), 2000); + } + }; + + const handleChange = (e: React.ChangeEvent) => { + const { name, value } = e.target; + setSettings(prev => ({ ...prev, [name]: value })); + }; + + return ( + + ); +} diff --git a/ui/src/app/train/options.ts b/ui/src/app/train/options.ts new file mode 100644 index 00000000..a32aa1f0 --- /dev/null +++ b/ui/src/app/train/options.ts @@ -0,0 +1,37 @@ +export interface Model { + name_or_path: string; + model_kwargs?: Record; + train_kwargs?: Record; +} + +export interface Option { + model: Model[]; +} + + +export const options = { + model: [ + { + name_or_path: "ostris/Flex.1-alpha", + model_kwargs: { + "is_flux": true + }, + train_kwargs: { + "bypass_guidance_embedding": true + } + }, + { + name_or_path: "black-forest-labs/FLUX.1-dev", + model_kwargs: { + "is_flux": true + }, + }, + { + name_or_path: "Alpha-VLLM/Lumina-Image-2.0", + model_kwargs: { + "is_lumina2": true + }, + }, + ] + +} as Option; \ No newline at end of file diff --git a/ui/src/app/train/page.tsx b/ui/src/app/train/page.tsx new file mode 100644 index 00000000..a3eaee89 --- /dev/null +++ b/ui/src/app/train/page.tsx @@ -0,0 +1,150 @@ +'use client'; + +import { useEffect, useState } from 'react'; +import { useSearchParams, useRouter } from 'next/navigation'; +import { options } from './options'; + +interface TrainingData { + modelConfig: { + name_or_path: string; + steps: number; + batchSize: number; + learningRate: number; + }; +} + +const defaultTrainingData: TrainingData = { + modelConfig: { + name_or_path: 'ostris/Flex.1-alpha', + steps: 100, + batchSize: 32, + learningRate: 0.001, + }, +}; + +export default function TrainingForm() { + const router = useRouter(); + const searchParams = useSearchParams(); + const runId = searchParams.get('id'); + + const [name, setName] = useState(''); + const [trainingData, setTrainingData] = useState(defaultTrainingData); + const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle'); + + useEffect(() => { + if (runId) { + fetch(`/api/training?id=${runId}`) + .then(res => res.json()) + .then(data => { + setName(data.name); + setTrainingData(JSON.parse(data.run_data)); + }) + .catch(error => console.error('Error fetching training:', error)); + } + }, [runId]); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setStatus('saving'); + + try { + const response = await fetch('/api/training', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + id: runId, + name, + run_data: trainingData, + }), + }); + + if (!response.ok) throw new Error('Failed to save training'); + + setStatus('success'); + if (!runId) { + const data = await response.json(); + router.push(`/training?id=${data.id}`); + } + setTimeout(() => setStatus('idle'), 2000); + } catch (error) { + console.error('Error saving training:', error); + setStatus('error'); + setTimeout(() => setStatus('idle'), 2000); + } + }; + + const updateSection = (section: keyof TrainingData, data: any) => { + setTrainingData(prev => ({ + ...prev, + [section]: { ...prev[section], ...data }, + })); + }; + + const modelOptions = options.model.map(model => model.name_or_path); + + return ( +
+

{runId ? 'Edit Training Run' : 'New Training Run'}

+ +
+
+ + setName(e.target.value)} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:ring-2 focus:ring-gray-600 focus:border-transparent" + placeholder="Enter training name" + required + /> +
+ + {/* Model Configuration Section */} +
+

Model Configuration

+
+
+ + +
+
+ + updateSection('modelConfig', { steps: Number(e.target.value) })} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg" + /> +
+
+
+ + + + {status === 'success' &&

Training saved successfully!

} + {status === 'error' &&

Error saving training. Please try again.

} +
+
+ ); +} diff --git a/ui/src/components/Sidebar.tsx b/ui/src/components/Sidebar.tsx new file mode 100644 index 00000000..2439c924 --- /dev/null +++ b/ui/src/components/Sidebar.tsx @@ -0,0 +1,38 @@ +import Link from 'next/link'; +import { Home, Settings, BarChart2, BrainCircuit } from 'lucide-react'; + +const Sidebar = () => { + const navigation = [ + { name: 'Dashboard', href: '/dashboard', icon: Home }, + { name: 'Train', href: '/train', icon: BrainCircuit }, + { name: 'Settings', href: '/settings', icon: Settings }, + ]; + + return ( +
+
+

+ Ostris AI Toolkit + Ostris - AI Toolkit +

+
+ +
+ ); +}; + +export default Sidebar; diff --git a/ui/src/components/ThemeProvider.tsx b/ui/src/components/ThemeProvider.tsx new file mode 100644 index 00000000..3834f889 --- /dev/null +++ b/ui/src/components/ThemeProvider.tsx @@ -0,0 +1,11 @@ +'use client'; + +import { createContext, useContext, useEffect, useState } from 'react'; + +const ThemeContext = createContext({ isDark: true }); + +export const ThemeProvider = ({ children }: { children: React.ReactNode }) => { + const [isDark, setIsDark] = useState(true); + + return {children}; +}; diff --git a/ui/tailwind.config.ts b/ui/tailwind.config.ts new file mode 100644 index 00000000..31f4dc3e --- /dev/null +++ b/ui/tailwind.config.ts @@ -0,0 +1,31 @@ +import type { Config } from "tailwindcss"; + +const config: Config = { + content: [ + "./src/pages/**/*.{js,ts,jsx,tsx,mdx}", + "./src/components/**/*.{js,ts,jsx,tsx,mdx}", + "./src/app/**/*.{js,ts,jsx,tsx,mdx}", + ], + darkMode: "class", + theme: { + extend: { + colors: { + gray: { + 950: "#0a0a0a", + 900: "#171717", + 800: "#262626", + 700: "#404040", + 600: "#525252", + 500: "#737373", + 400: "#a3a3a3", + 300: "#d4d4d4", + 200: "#e5e5e5", + 100: "#f5f5f5", + }, + }, + }, + }, + plugins: [], +}; + +export default config; \ No newline at end of file diff --git a/ui/tsconfig.json b/ui/tsconfig.json new file mode 100644 index 00000000..c1334095 --- /dev/null +++ b/ui/tsconfig.json @@ -0,0 +1,27 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} From cef7d9e594e7570561fbcba6bac9adeb5c49830c Mon Sep 17 00:00:00 2001 From: Jaret Burkett Date: Wed, 19 Feb 2025 07:52:24 -0700 Subject: [PATCH 02/35] Config ui section is coming along --- ui/package-lock.json | 6 + ui/package.json | 1 + ui/prisma/schema.prisma | 3 +- ui/src/app/api/gpu/route.ts | 102 ++++++ ui/src/app/api/settings/route.ts | 11 +- ui/src/app/api/training/route.ts | 8 +- ui/src/app/dashboard/page.tsx | 13 +- ui/src/app/train/jobConfig.ts | 95 ++++++ ui/src/app/train/options.ts | 64 ++-- ui/src/app/train/page.tsx | 540 ++++++++++++++++++++++++++----- ui/src/components/Card.tsx | 15 + ui/src/components/GPUMonitor.tsx | 195 +++++++++++ ui/src/components/formInputs.tsx | 150 +++++++++ ui/src/paths.ts | 3 + ui/src/types.ts | 149 +++++++++ ui/src/utils/basic.ts | 4 + ui/src/utils/hooks.tsx | 84 +++++ 17 files changed, 1323 insertions(+), 120 deletions(-) create mode 100644 ui/src/app/api/gpu/route.ts create mode 100644 ui/src/app/train/jobConfig.ts create mode 100644 ui/src/components/Card.tsx create mode 100644 ui/src/components/GPUMonitor.tsx create mode 100644 ui/src/components/formInputs.tsx create mode 100644 ui/src/paths.ts create mode 100644 ui/src/types.ts create mode 100644 ui/src/utils/basic.ts create mode 100644 ui/src/utils/hooks.tsx diff --git a/ui/package-lock.json b/ui/package-lock.json index 32ffebd3..c8965cdb 100644 --- a/ui/package-lock.json +++ b/ui/package-lock.json @@ -9,6 +9,7 @@ "version": "0.1.0", "dependencies": { "@prisma/client": "^6.3.1", + "classnames": "^2.5.1", "lucide-react": "^0.475.0", "next": "15.1.7", "prisma": "^6.3.1", @@ -1182,6 +1183,11 @@ "node": ">=10" } }, + "node_modules/classnames": { + "version": "2.5.1", + "resolved": "https://registry.npmjs.org/classnames/-/classnames-2.5.1.tgz", + "integrity": "sha512-saHYOzhIQs6wy2sVxTM6bUDsQO4F50V9RQ22qBpEdCW+I+/Wmke2HOl6lS6dTpdxVhb88/I6+Hs+438c3lfUow==" + }, "node_modules/clean-stack": { "version": "2.2.0", "resolved": "https://registry.npmjs.org/clean-stack/-/clean-stack-2.2.0.tgz", diff --git a/ui/package.json b/ui/package.json index a4d551ca..81d9c913 100644 --- a/ui/package.json +++ b/ui/package.json @@ -11,6 +11,7 @@ }, "dependencies": { "@prisma/client": "^6.3.1", + "classnames": "^2.5.1", "lucide-react": "^0.475.0", "next": "15.1.7", "prisma": "^6.3.1", diff --git a/ui/prisma/schema.prisma b/ui/prisma/schema.prisma index 66bf99ec..4f3380e3 100644 --- a/ui/prisma/schema.prisma +++ b/ui/prisma/schema.prisma @@ -17,7 +17,8 @@ model Settings { model Training { id String @id @default(uuid()) name String - run_data String // JSON string + gpu_id Int + job_config String // JSON string created_at DateTime @default(now()) updated_at DateTime @updatedAt } \ No newline at end of file diff --git a/ui/src/app/api/gpu/route.ts b/ui/src/app/api/gpu/route.ts new file mode 100644 index 00000000..93a084d2 --- /dev/null +++ b/ui/src/app/api/gpu/route.ts @@ -0,0 +1,102 @@ +import { NextResponse } from 'next/server'; +import { exec } from 'child_process'; +import { promisify } from 'util'; + +const execAsync = promisify(exec); + +export async function GET() { + try { + // Check if nvidia-smi is available + const hasNvidiaSmi = await checkNvidiaSmi(); + + if (!hasNvidiaSmi) { + return NextResponse.json({ + hasNvidiaSmi: false, + gpus: [], + error: 'nvidia-smi not found or not accessible', + }); + } + + // Get GPU stats + const gpuStats = await getGpuStats(); + + return NextResponse.json({ + hasNvidiaSmi: true, + gpus: gpuStats, + }); + } catch (error) { + console.error('Error fetching NVIDIA GPU stats:', error); + return NextResponse.json( + { + hasNvidiaSmi: false, + gpus: [], + error: `Failed to fetch GPU stats: ${error instanceof Error ? error.message : String(error)}`, + }, + { status: 500 }, + ); + } +} + +async function checkNvidiaSmi(): Promise { + try { + await execAsync('which nvidia-smi'); + return true; + } catch (error) { + return false; + } +} + +async function getGpuStats() { + // Get detailed GPU information in JSON format + const { stdout } = await execAsync( + 'nvidia-smi --query-gpu=index,name,driver_version,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used,power.draw,power.limit,clocks.current.graphics,clocks.current.memory --format=csv,noheader,nounits', + ); + + // Parse CSV output + const gpus = stdout + .trim() + .split('\n') + .map(line => { + const [ + index, + name, + driverVersion, + temperature, + gpuUtil, + memoryUtil, + memoryTotal, + memoryFree, + memoryUsed, + powerDraw, + powerLimit, + clockGraphics, + clockMemory, + ] = line.split(', ').map(item => item.trim()); + + return { + index: parseInt(index), + name, + driverVersion, + temperature: parseInt(temperature), + utilization: { + gpu: parseInt(gpuUtil), + memory: parseInt(memoryUtil), + }, + memory: { + total: parseInt(memoryTotal), + free: parseInt(memoryFree), + used: parseInt(memoryUsed), + }, + power: { + draw: parseFloat(powerDraw), + limit: parseFloat(powerLimit), + }, + clocks: { + graphics: parseInt(clockGraphics), + memory: parseInt(clockMemory), + }, + }; + }); + + return gpus; +} diff --git a/ui/src/app/api/settings/route.ts b/ui/src/app/api/settings/route.ts index 3346f0a9..8062afde 100644 --- a/ui/src/app/api/settings/route.ts +++ b/ui/src/app/api/settings/route.ts @@ -1,12 +1,21 @@ import { NextResponse } from 'next/server'; import { PrismaClient } from '@prisma/client'; +import { defaultTrainFolder } from '@/paths'; const prisma = new PrismaClient(); export async function GET() { try { const settings = await prisma.settings.findMany(); - return NextResponse.json(settings.reduce((acc, curr) => ({ ...acc, [curr.key]: curr.value }), {})); + const settingsObject = settings.reduce((acc: any, setting) => { + acc[setting.key] = setting.value; + return acc; + }, {}); + // if TRAINING_FOLDER is not set, use default + if (!settingsObject.TRAINING_FOLDER || settingsObject.TRAINING_FOLDER === '') { + settingsObject.TRAINING_FOLDER = defaultTrainFolder; + } + return NextResponse.json(settingsObject); } catch (error) { return NextResponse.json({ error: 'Failed to fetch settings' }, { status: 500 }); } diff --git a/ui/src/app/api/training/route.ts b/ui/src/app/api/training/route.ts index 1020bd24..64d3d73a 100644 --- a/ui/src/app/api/training/route.ts +++ b/ui/src/app/api/training/route.ts @@ -27,7 +27,7 @@ export async function GET(request: Request) { export async function POST(request: Request) { try { const body = await request.json(); - const { id, name, run_data } = body; + const { id, name, job_config, gpu_id } = body; if (id) { // Update existing training @@ -35,7 +35,8 @@ export async function POST(request: Request) { where: { id }, data: { name, - run_data: JSON.stringify(run_data), + gpu_id, + job_config: JSON.stringify(job_config), }, }); return NextResponse.json(training); @@ -44,7 +45,8 @@ export async function POST(request: Request) { const training = await prisma.training.create({ data: { name, - run_data: JSON.stringify(run_data), + gpu_id, + job_config: JSON.stringify(job_config), }, }); return NextResponse.json(training); diff --git a/ui/src/app/dashboard/page.tsx b/ui/src/app/dashboard/page.tsx index 4c9eb54d..fd05095f 100644 --- a/ui/src/app/dashboard/page.tsx +++ b/ui/src/app/dashboard/page.tsx @@ -1,15 +1,12 @@ +'use client'; + +import GpuMonitor from '@/components/GPUMonitor'; + export default function Dashboard() { return (

Dashboard

-
- {[1, 2, 3].map(i => ( -
-

Card {i}

-

Example dashboard card content

-
- ))} -
+
); } diff --git a/ui/src/app/train/jobConfig.ts b/ui/src/app/train/jobConfig.ts new file mode 100644 index 00000000..fc97dcdf --- /dev/null +++ b/ui/src/app/train/jobConfig.ts @@ -0,0 +1,95 @@ +import { JobConfig, DatasetConfig } from '@/types'; + +export const defaultDatasetConfig: DatasetConfig = { + folder_path: '/path/to/images/folder', + mask_path: null, + mask_min_value: 0.1, + default_caption: '', + caption_ext: 'txt', + caption_dropout_rate: 0.05, + cache_latents_to_disk: false, + is_reg: false, + network_weight: 1, + resolution: [512, 768, 1024], +}; + +export const defaultJobConfig: JobConfig = { + job: 'extension', + config: { + name: 'my_first_flex_lora_v1', + process: [ + { + type: 'sd_trainer', + training_folder: 'output', + device: 'cuda:0', + network: { + type: 'lora', + linear: 16, + linear_alpha: 16, + }, + save: { + dtype: 'bf16', + save_every: 250, + max_step_saves_to_keep: 4, + push_to_hub: false, + }, + datasets: [ + defaultDatasetConfig + ], + train: { + batch_size: 1, + bypass_guidance_embedding: true, + steps: 2000, + gradient_accumulation: 1, + train_unet: true, + train_text_encoder: false, + gradient_checkpointing: true, + noise_scheduler: 'flowmatch', + optimizer: 'adamw8bit', + optimizer_params: { + weight_decay: 1e-4 + }, + lr: 0.0001, + ema_config: { + use_ema: true, + ema_decay: 0.99, + }, + dtype: 'bf16', + }, + model: { + name_or_path: 'ostris/Flex.1-alpha', + is_flux: true, + quantize: true, + quantize_te: true + }, + sample: { + sampler: 'flowmatch', + sample_every: 250, + width: 1024, + height: 1024, + prompts: [ + 'woman with red hair, playing chess at the park, bomb going off in the background', + 'a woman holding a coffee cup, in a beanie, sitting at a cafe', + 'a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini', + 'a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background', + 'a bear building a log cabin in the snow covered mountains', + 'woman playing the guitar, on stage, singing a song, laser lights, punk rocker', + 'hipster man with a beard, building a chair, in a wood shop', + 'photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop', + "a man holding a sign that says, 'this is a sign'", + 'a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle', + ], + neg: '', + seed: 42, + walk_seed: true, + guidance_scale: 4, + sample_steps: 25, + }, + }, + ], + }, + meta: { + name: '[name]', + version: '1.0', + }, +}; diff --git a/ui/src/app/train/options.ts b/ui/src/app/train/options.ts index a32aa1f0..f856f21a 100644 --- a/ui/src/app/train/options.ts +++ b/ui/src/app/train/options.ts @@ -1,37 +1,41 @@ export interface Model { - name_or_path: string; - model_kwargs?: Record; - train_kwargs?: Record; + name_or_path: string; + defaults?: { [key: string]: any }; } export interface Option { - model: Model[]; + model: Model[]; } - export const options = { - model: [ - { - name_or_path: "ostris/Flex.1-alpha", - model_kwargs: { - "is_flux": true - }, - train_kwargs: { - "bypass_guidance_embedding": true - } - }, - { - name_or_path: "black-forest-labs/FLUX.1-dev", - model_kwargs: { - "is_flux": true - }, - }, - { - name_or_path: "Alpha-VLLM/Lumina-Image-2.0", - model_kwargs: { - "is_lumina2": true - }, - }, - ] - -} as Option; \ No newline at end of file + model: [ + { + name_or_path: 'ostris/Flex.1-alpha', + defaults: { + // default updates when [selected, unselected] in the UI + 'config.process[0].model.quantize': [true, false], + 'config.process[0].model.quantize_te': [true, false], + 'config.process[0].model.is_flux': [true, false], + 'config.process[0].train.bypass_guidance_embedding': [true, false], + }, + }, + { + name_or_path: 'black-forest-labs/FLUX.1-dev', + defaults: { + // default updates when [selected, unselected] in the UI + 'config.process[0].model.quantize': [true, false], + 'config.process[0].model.quantize_te': [true, false], + 'config.process[0].model.is_flux': [true, false], + }, + }, + { + name_or_path: 'Alpha-VLLM/Lumina-Image-2.0', + defaults: { + // default updates when [selected, unselected] in the UI + 'config.process[0].model.quantize': [false, false], + 'config.process[0].model.quantize_te': [true, false], + 'config.process[0].model.is_lumina2': [true, false], + }, + }, + ], +} as Option; diff --git a/ui/src/app/train/page.tsx b/ui/src/app/train/page.tsx index a3eaee89..7298b1f1 100644 --- a/ui/src/app/train/page.tsx +++ b/ui/src/app/train/page.tsx @@ -1,34 +1,26 @@ 'use client'; +// todo update training folder from settings -import { useEffect, useState } from 'react'; +import { useEffect, useMemo, useState } from 'react'; import { useSearchParams, useRouter } from 'next/navigation'; import { options } from './options'; - -interface TrainingData { - modelConfig: { - name_or_path: string; - steps: number; - batchSize: number; - learningRate: number; - }; -} - -const defaultTrainingData: TrainingData = { - modelConfig: { - name_or_path: 'ostris/Flex.1-alpha', - steps: 100, - batchSize: 32, - learningRate: 0.001, - }, -}; +import { GPUApiResponse } from '@/types'; +import { defaultJobConfig, defaultDatasetConfig } from './jobConfig'; +import { JobConfig } from '@/types'; +import { objectCopy } from '@/utils/basic'; +import { useNestedState } from '@/utils/hooks'; +import { TextInput, SelectInput, Checkbox, FormGroup, NumberInput } from '@/components/formInputs'; +import Card from '@/components/Card'; +import { Trash, X } from 'lucide-react'; export default function TrainingForm() { const router = useRouter(); const searchParams = useSearchParams(); const runId = searchParams.get('id'); + const [gpuID, setGpuID] = useState(null); + const [gpuList, setGpuList] = useState([]); - const [name, setName] = useState(''); - const [trainingData, setTrainingData] = useState(defaultTrainingData); + const [jobConfig, setJobConfig] = useNestedState(objectCopy(defaultJobConfig)); const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle'); useEffect(() => { @@ -36,13 +28,42 @@ export default function TrainingForm() { fetch(`/api/training?id=${runId}`) .then(res => res.json()) .then(data => { - setName(data.name); - setTrainingData(JSON.parse(data.run_data)); + setGpuID(data.gpu_id); + setJobConfig(JSON.parse(data.job_config)); }) .catch(error => console.error('Error fetching training:', error)); } }, [runId]); + useEffect(() => { + const fetchGpuInfo = async () => { + try { + const response = await fetch('/api/gpu'); + + if (!response.ok) { + throw new Error(`HTTP error! Status: ${response.status}`); + } + + const data: GPUApiResponse = await response.json(); + setGpuList(data.gpus.map(gpu => gpu.index).sort()); + } catch (err) { + console.log(`Failed to fetch GPU data: ${err instanceof Error ? err.message : String(err)}`); + } finally { + // setLoading(false); + } + }; + + fetch('/api/settings') + .then(res => res.json()) + .then(data => { + setJobConfig(data.TRAINING_FOLDER, 'config.process[0].training_folder'); + }) + .catch(error => console.error('Error fetching settings:', error)); + + // Fetch immediately on component mount + fetchGpuInfo(); + }, []); + const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); setStatus('saving'); @@ -55,8 +76,9 @@ export default function TrainingForm() { }, body: JSON.stringify({ id: runId, - name, - run_data: trainingData, + name: jobConfig.config.name, + gpu_id: gpuID, + job_config: jobConfig, }), }); @@ -75,64 +97,428 @@ export default function TrainingForm() { } }; - const updateSection = (section: keyof TrainingData, data: any) => { - setTrainingData(prev => ({ - ...prev, - [section]: { ...prev[section], ...data }, - })); - }; - - const modelOptions = options.model.map(model => model.name_or_path); - return ( -
-

{runId ? 'Edit Training Run' : 'New Training Run'}

+
+

{runId ? 'Edit Training Run' : 'New Training Run'}

-
- - setName(e.target.value)} - className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:ring-2 focus:ring-gray-600 focus:border-transparent" - placeholder="Enter training name" - required - /> -
+
+ + setJobConfig(value, 'config.name')} + placeholder="Enter training name" + required + /> + setGpuID(parseInt(value))} + options={gpuList.map(gpu => ({ value: `${gpu}`, label: `GPU #${gpu}` }))} + /> + - {/* Model Configuration Section */} -
-

Model Configuration

-
-
- - -
-
- - updateSection('modelConfig', { steps: Number(e.target.value) })} - className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg" + {/* Model Configuration Section */} + + { + // see if model changed + const currentModel = options.model.find( + model => model.name_or_path === jobConfig.config.process[0].model.name_or_path, + ); + if (!currentModel || currentModel.name_or_path === value) { + // model has not changed + return; + } + // revert defaults from previous model + for (const key in currentModel.defaults) { + setJobConfig(currentModel.defaults[key][1], key); + } + // set new model + setJobConfig(value, 'config.process[0].model.name_or_path'); + // update the defaults when a model is selected + const model = options.model.find(model => model.name_or_path === value); + if (model?.defaults) { + for (const key in model.defaults) { + setJobConfig(model.defaults[key][0], key); + } + } + }} + options={options.model.map(model => ({ + value: model.name_or_path, + label: model.name_or_path, + }))} + /> + + setJobConfig(value, 'config.process[0].model.quantize')} /> + setJobConfig(value, 'config.process[0].model.quantize_te')} + /> + + + {jobConfig.config.process[0].network?.linear && ( + + { + setJobConfig(value, 'config.process[0].network.linear'); + setJobConfig(value, 'config.process[0].network.linear_alpha'); + }} + placeholder="eg. 16" + min={1} + max={1024} + required + /> + + )} + + setJobConfig(value, 'config.process[0].save.dtype')} + options={[ + { value: 'bf16', label: 'BF16' }, + { value: 'fp16', label: 'FP16' }, + { value: 'fp32', label: 'FP32' }, + ]} + /> + setJobConfig(value, 'config.process[0].save.save_every')} + placeholder="eg. 250" + min={1} + required + /> + setJobConfig(value, 'config.process[0].save.max_step_saves_to_keep')} + placeholder="eg. 4" + min={1} + required + /> + +
+
+ +
+
+ setJobConfig(value, 'config.process[0].train.batch_size')} + placeholder="eg. 4" + min={1} + required + /> + setJobConfig(value, 'config.process[0].train.gradient_accumulation')} + placeholder="eg. 1" + min={1} + required + /> + setJobConfig(value, 'config.process[0].train.steps')} + placeholder="eg. 2000" + min={1} + required + /> +
+
+ setJobConfig(value, 'config.process[0].train.optimizer')} + options={[ + { value: 'adamw8bit', label: 'AdamW8Bit' }, + { value: 'adafactor', label: 'Adafactor' }, + ]} + /> + setJobConfig(value, 'config.process[0].train.lr')} + placeholder="eg. 0.0001" + min={0} + required + /> + setJobConfig(value, 'config.process[0].train.optimizer_params.weight_decay')} + placeholder="eg. 0.0001" + min={0} + required + /> +
-
-
+ +
+
+ + <> + {jobConfig.config.process[0].datasets.map((dataset, i) => ( +
+ +

Dataset {i + 1}

+
+
+ setJobConfig(value, `config.process[0].datasets[${i}].folder_path`)} + placeholder="eg. /path/to/images/folder" + required + /> + { + let setValue: string | null = value; + if (!setValue || setValue.trim() === '') { + setValue = null; + } + setJobConfig(setValue, `config.process[0].datasets[${i}].mask_path`); + }} + placeholder="eg. /path/to/masks/folder" + /> + setJobConfig(value, `config.process[0].datasets[${i}].mask_min_value`)} + placeholder="eg. 0.1" + min={0} + max={1} + required + /> +
+
+ setJobConfig(value, `config.process[0].datasets[${i}].default_caption`)} + placeholder="eg. A photo of a cat" + /> + setJobConfig(value, `config.process[0].datasets[${i}].caption_ext`)} + placeholder="eg. txt" + required + /> + setJobConfig(value, `config.process[0].datasets[${i}].caption_dropout_rate`)} + placeholder="eg. 0.05" + min={0} + required + /> +
+
+ + + setJobConfig(value, `config.process[0].datasets[${i}].cache_latents_to_disk`) + } + /> + setJobConfig(value, `config.process[0].datasets[${i}].is_reg`)} + /> + +
+
+ + {[256, 512, 768, 1024, 1280].map(res => ( + { + const resolutions = dataset.resolution.includes(res) + ? dataset.resolution.filter(r => r !== res) + : [...dataset.resolution, res]; + setJobConfig(resolutions, `config.process[0].datasets[${i}].resolution`); + }} + /> + ))} + +
+
+
+ ))} + + + +
+
+ +
+
+ setJobConfig(value, 'config.process[0].sample.sample_every')} + placeholder="eg. 250" + min={1} + required + /> + setJobConfig(value, 'config.process[0].sample.sampler')} + options={[{ value: 'flowmatch', label: 'FlowMatch' }]} + /> +
+
+ setJobConfig(value, 'config.process[0].sample.guidance_scale')} + placeholder="eg. 1.0" + min={0} + required + /> + setJobConfig(value, 'config.process[0].sample.sample_steps')} + placeholder="eg. 1" + className="pt-2" + min={1} + required + /> +
+
+ setJobConfig(value, 'config.process[0].sample.width')} + placeholder="eg. 1024" + min={256} + required + /> + setJobConfig(value, 'config.process[0].sample.height')} + placeholder="eg. 1024" + className="pt-2" + min={256} + required + /> +
+ +
+ setJobConfig(value, 'config.process[0].sample.seed')} + placeholder="eg. 0" + min={0} + required + /> + setJobConfig(value, 'config.process[0].sample.walk_seed')} + /> +
+
+ + {jobConfig.config.process[0].sample.prompts.map((prompt, i) => ( +
+
+ setJobConfig(value, `config.process[0].sample.prompts[${i}]`)} + placeholder="Enter prompt" + required + /> +
+
+ +
+
+ ))} + + + +
+
+
+ + {status === 'loading' &&

Loading...

} + {status === 'error' &&

Error fetching datasets

} + {status === 'success' && ( +
+ {datasets.length === 0 &&

No datasets found

} + {datasets.map((dataset: string) => ( + + {dataset} + + ))} +
+ )} + + + setIsNewDatasetModalOpen(false)} + title="New Dataset" + size="md" + > +
+ { + e.preventDefault(); + console.log('Creating new dataset'); + // make post with name to create new dataset + fetch('/api/datasets/create', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ name: newDatasetName }), + }) + .then(res => res.json()) + .then(data => { + console.log('New dataset created:', data); + refreshDatasets(); + setNewDatasetName(''); + setIsNewDatasetModalOpen(false); + }) + .catch(error => { + console.error('Error creating new dataset:', error); + }); + }} + > +
+ This will create a new folder with the name below in your dataset folder. +
+
+ setNewDatasetName(value)} /> +
+ +
+ + +
+ +
+ + + ); +} diff --git a/ui/src/app/settings/page.tsx b/ui/src/app/settings/page.tsx index 6dc5f59b..9e7a7097 100644 --- a/ui/src/app/settings/page.tsx +++ b/ui/src/app/settings/page.tsx @@ -6,6 +6,7 @@ export default function Settings() { const [settings, setSettings] = useState({ HF_TOKEN: '', TRAINING_FOLDER: '', + DATASETS_FOLDER: '', }); const [status, setStatus] = useState<'idle' | 'saving' | 'success' | 'error'>('idle'); @@ -17,6 +18,7 @@ export default function Settings() { setSettings({ HF_TOKEN: data.HF_TOKEN || '', TRAINING_FOLDER: data.TRAINING_FOLDER || '', + DATASETS_FOLDER: data.DATASETS_FOLDER || '', }); }) .catch(error => console.error('Error fetching settings:', error)); @@ -65,7 +67,8 @@ export default function Settings() { {' '} Huggingface - if you need to access gated/private models. + {' '} + if you need to access gated/private models. Training Folder Path
- We will store your training information here. Must be an absolute path. If blank, it will default to the output folder in the project root. + We will store your training information here. Must be an absolute path. If blank, it will default to the + output folder in the project root.
+ +
+ + +
+

Settings

+ +
+
+ + +
+ + +
+
+ + + + {status === 'success' &&

Settings saved successfully!

} + {status === 'error' &&

Error saving settings. Please try again.

} +
+