const fs = require('fs') const os = require('os') const util = require('util') const axios = require('axios') const bytes = require('bytes') const sharp = require('sharp') const morgan = require('morgan') const express = require('express') const cp = require('child_process') const PDFDocument = require('pdfkit') const playwright = require('playwright-extra') // const stealth = require('puppeteer-extra-plugin-stealth') // playwright.chromium.use(stealth()) const app = express() app.set('json spaces', 4) app.use(morgan('dev')) const limitSize = '500mb' app.use(express.json({ limit: limitSize })) app.use(express.urlencoded({ extended: true, limit: limitSize })) const tmpFolder = os.tmpdir() app.use((req, res, next) => { fs.readdirSync(tmpFolder).map(file => { file = `${tmpFolder}/${file}` let stats = fs.statSync(file) if (!stats.isFile()) return if (Date.now() - stats.mtimeMs >= 1000 * 60 * 30) { fs.unlinkSync(file) console.log('Deleted file', file) } }) next() }) app.use('/file', express.static(tmpFolder)) app.all('/', (req, res) => { const status = {} const used = process.memoryUsage() for (let key in used) status[key] = formatSize(used[key]) const disk = cp.execSync('du -sh').toString().split('M')[0] status.diskUsage = `${disk} MB` const totalmem = os.totalmem() const freemem = os.freemem() status.memoryUsage = `${formatSize(totalmem - freemem)} / ${formatSize(totalmem)}` res.json({ creator: '@rippanteq7', message: 'Hello World', uptime: new Date(process.uptime() * 1000).toUTCString().split(' ')[4], status }) }) app.all('/imagetopdf', async (req, res) => { if (!['POST'].includes(req.method)) return res.status(405).json({ success: false, message: 'Method Not Allowed' }) try { console.log(new Date().toLocaleString('id', { timeZone: 'Asia/Jakarta' }), '\n', req.body) const { images } = req.body if (!(images && Array.isArray(images))) return res.json({ success: false, message: 'Required an array image url' }) const buffer = await toPDF(images) res.setHeader('Content-Disposition', `attachment; filename=${Math.random().toString(36).slice(2)}.pdf`) res.setHeader('Content-Type', 'application/pdf') res.setHeader('Content-Length', buffer.byteLength) res.send(buffer) } catch (e) { console.log(e) e = String(e) res.status(500).json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e }) } }) app.all('/webp2png', async (req, res) => { if (!['POST'].includes(req.method)) return res.status(405).json({ success: false, message: 'Method Not Allowed' }) try { const { file } = req.body if (!(file && isBase64(file))) return res.json({ success: false, message: 'Payload body file must be filled in base64 format' }) const fileBuffer = Buffer.from(file, 'base64') const fileName = `${Math.random().toString(36).slice(2)}.png` const convertData = await sharp(fileBuffer).png().toBuffer() await fs.promises.writeFile(`${tmpFolder}/${fileName}`, convertData) res.send(`https://${req.get('host')}/file/${fileName}`) } catch (e) { console.log(e) e = String(e) res.status(500).json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e }) } }) app.all(['/webp2gif', '/webp2mp4'], async (req, res) => { if (!['POST'].includes(req.method)) return res.status(405).json({ success: false, message: 'Method Not Allowed' }) try { const { file } = req.body if (!(file && isBase64(file))) return res.json({ success: false, message: 'Payload body file must be filled in base64 format' }) const fileBuffer = Buffer.from(file, 'base64') const fileName = `${Math.random().toString(36).slice(2)}.webp` const filePath = `${tmpFolder}/${fileName}` await fs.promises.writeFile(filePath, fileBuffer) const exec = util.promisify(cp.exec).bind(cp) await exec(`convert ${filePath} ${filePath.replace('.webp', '.gif')}`) if (/gif/.test(req.path)) return res.send(`https://${req.get('host')}/file/${fileName.replace('.webp', '.gif')}`) await exec(`ffmpeg -i ${filePath.replace('.webp', '.gif')} -movflags faststart -pix_fmt yuv420p -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" ${filePath.replace(/.webp|.gif/g, '')}.mp4`) res.send(`https://${req.get('host')}/file/${fileName.replace('.webp', '.mp4')}`) } catch (e) { console.log(e) e = String(e) res.status(500).json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e }) } }) app.all(['/enhance', '/hd', '/upscale'], async (req, res) => { if (!['GET', 'POST'].includes(req.method)) return res.status(405).json({ success: false, message: 'Method Not Allowed' }) try { const { url } = req.method !== 'GET' ? req.body : req.query if (!url) return res.json({ success: false, message: 'Required parameter url' }) const result = await enhanceImage(url) res.json({ success: true, result }) } catch (e) { console.log(e) e = String(e) res.status(500).json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e }) } }) app.all('/stablediff/illusion', async (req, res) => { if (!['GET', 'POST'].includes(req.method)) return res.status(405).json({ success: false, message: 'Method Not Allowed' }) try { const { prompt, negative_prompt = 'low quality', image_url, num_inference_steps = 25, controlnet_conditioning_scale = 1 } = req.method !== 'GET' ? req.body : req.query if (!(prompt && image_url)) return res.json({ success: false, message: 'Required parameter prompt & image_url' }) const headers = { 'Content-Type': 'application/json', Authorization: `Key ${process.env.falAIKey}` } const { detail, response_url } = await (await fetch('https://54285744-illusion-diffusion.gateway.alpha.fal.ai/fal/queue/submit', { method: 'POST', body: JSON.stringify({ prompt, negative_prompt, image_url, num_inference_steps, controlnet_conditioning_scale }), headers })).json() if (detail) return res.json({ success: false, message: detail }) let retry = 0 while (true) { await new Promise(resolve => setTimeout(resolve, 2500)) const prediction = await (await fetch(response_url, { headers })).json() console.log(prediction) if (retry > 10) return res.json({ success: false, message: prediction.detail || 'Max retry has reached' }) if (prediction.image) return res.json({ success: true, result: prediction }) retry += 1 } } catch (e) { console.log(e) e = String(e) res.status(500).json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e }) } }) const PORT = process.env.PORT || 7860 app.listen(PORT, () => console.log('App running on port', PORT)) function formatSize(num) { return bytes(+num || 0, { unitSeparator: ' ' }) } function isBase64(str) { try { return btoa(atob(str)) === str } catch { return false } } function toPDF(urls) { return new Promise(async (resolve, reject) => { try { if (!Array.isArray(urls)) urls = [urls] const doc = new PDFDocument({ margin: 0, size: 'A4' }) const buffers = [] for (let i = 0; i < urls.length; i++) { const response = await fetch(urls[i], { headers: { referer: urls[i] }}) if (!response.ok) continue const type = response.headers.get('content-type') if (!/image/.test(type)) continue let buffer = Buffer.from(await response.arrayBuffer()) if (/gif|webp/.test(type)) buffer = await sharp(buffer).png().toBuffer() doc.image(buffer, 0, 0, { fit: [595.28, 841.89], align: 'center', valign: 'center' }) if (urls.length !== i + 1) doc.addPage() } doc.on('data', (chunk) => buffers.push(chunk)) doc.on('end', () => resolve(Buffer.concat(buffers))) doc.on('error', reject) doc.end() } catch (e) { console.log(e) reject(e) } }) } async function enhanceImage(url) { const browser = await playwright.chromium.launch({ headless: true, executablePath: '/usr/bin/chromium', args: ['--no-sandbox'] }) const page = await browser.newPage() await page.goto('https://snapedit.app/id/enhance/upload') await page.waitForLoadState('domcontentloaded') const arrayBuffer = await (await fetch(url)).arrayBuffer() page.on('filechooser', (fileChooser) => { const fileObject = { name: 'file.jpg', mimeType: 'image/jpg', buffer: Buffer.from(arrayBuffer) } fileChooser.setFiles([fileObject]) }) await page.getByRole('button', { name: 'Unggah gambar', exact: true }).click() const response = await page.waitForResponse(res => { console.log(res.url()) return res.url().includes('api/enhance/v1') }, { timeout: 60 * 1000 }) const json = await response.json() await browser.close() return json }