piscart upscale

piscart.js

class PicsartEnhancer {
    constructor() {
        this.uploadUrl = 'https://upload.picsart.com/files';
        this.aiUrl = 'https://ai.picsart.com';
        this.jsUrl = 'https://picsart.com/-/landings/4.310.0/static/index-C3-HwnoW-GZgP7cLS.js';
        this.token = null;
        this.headers = {
            'origin': 'https://picsart.com',
            'referer': 'https://picsart.com/',
            'user-agent': 'Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Mobile Safari/537.36',
            'accept': '*/*'
        };
    }

    async getToken() {
        const resp = await fetch(this.jsUrl, { headers: this.headers });
        const text = await resp.text();
        const match = text.match(/"x-app-authorization":"Bearer\s+([^"]+)"/);
        if (match?.[1]) {
            this.token = match[1];
            return this.token;
        }
        throw new Error('Token not found');
    }

    async upload(buffer) {
        const boundary = '----WebKitFormBoundary' + Math.random().toString(36).slice(2);

        let body = `--${boundary}\r\n`;
        body += 'Content-Disposition: form-data; name="type"\r\n\r\n';
        body += 'editing-temp-landings\r\n';
        body += `--${boundary}\r\n`;
        body += `Content-Disposition: form-data; name="file"; filename="image.jpg"\r\n`;
        body += `Content-Type: image/png\r\n\r\n`;
        const part1 = Buffer.from(body, 'utf-8');
        const part2 = Buffer.from(`\r\n--${boundary}\r\nContent-Disposition: form-data; name="url"\r\n\r\n\r\n--${boundary}\r\nContent-Disposition: form-data; name="metainfo"\r\n\r\n\r\n--${boundary}--\r\n`, 'utf-8');
        const data = Buffer.concat([part1, buffer, part2]);

        const resp = await fetch(this.uploadUrl, {
            method: 'POST',
            headers: {
                ...this.headers,
                'content-type': `multipart/form-data; boundary=${boundary}`,
                'accept': 'application/json'
            },
            body: data
        });
        return await resp.json();
    }

    async enhance(url, scale) {
        if (!this.token) await this.getToken();
        
        const params = new URLSearchParams({
            picsart_cdn_url: url,
            format: 'PNG',
            model: 'REALESERGAN'
        });

        const body = JSON.stringify({
            image_url: url,
            colour_correction: { enabled: false, blending: 0.5 },
            seed: 42,
            upscale: { enabled: true, node: 'esrgan', target_scale: scale },
            face_enhancement: {
                enabled: true, blending: 1, max_faces: 1000,
                impression: false, gfpgan: true, node: 'ada'
            }
        });

        const resp = await fetch(`${this.aiUrl}/gw1/diffbir-enhancement-service/v1.7.6?${params}`, {
            method: 'POST',
            headers: {
                ...this.headers,
                'accept': 'application/json',
                'content-type': 'application/json',
                'platform': 'website',
                'x-app-authorization': `Bearer ${this.token}`,
                'x-touchpoint': 'widget_EnhancedImage',
                'x-touchpoint-referrer': '/id/ai-image-enhancer/'
            },
            body
        });
        return await resp.json();
    }

    async process(buffer, scale) {
        const upload = await this.upload(buffer);
        if (upload.status !== 'success') throw new Error('Upload failed');
        return await this.enhance(upload.result.url, scale);
    }
}

async function contoh() {
    const enhancer = new PicsartEnhancer();
    const fs = require('fs');
    const buffer = fs.readFileSync('blur_image.png');
    
    try {
        const result = await enhancer.process(buffer, 15);
        console.log('Hasil:', result.result);
    } catch (error) {
        console.error('Error:', error.message);
    }
}

contoh();