Async Pattern Studio

AI-Powered Async Fashion Design Revolution

Transform your fashion designs into production-ready patterns with async processing. Experience seamless background processing with GPT-4o Vision and advanced AI segmentation.

GPT-4o Vision SAM Segmentation Async Processing Professional Grade

Upload Garment Image

Drop your fashion design here

or click to browse files

Supports: JPG, PNG, GIF, WebP • Max 10MB

Pattern Extraction Settings

✨ GPT-4O Universal Recognition: This AI can identify and create patterns for ANY garment type from ANY culture worldwide - from ancient traditional wear to modern fusion designs. The list above shows just examples; the system recognizes ALL garments that exist or have ever existed.

Professional Options

Target number of pattern pieces to generate.

Master Tailor at Work

Analyzing your garment with AI precision... This may take 1-2 minutes

Pattern Processing

Your master tailor analysis is being processed with AI precision...
Queued
Waiting for task...

${componentName}

${componentName}

Dimensions: ${component.dimensions || 'Standard Size'}

Seam Allowance: ${component.seam_allowance || '1.0cm'}

Grain Direction: ${component.grain_direction || 'Straight Grain'}

${component.cutting_instructions ? `

Cutting Instructions: ${component.cutting_instructions}

` : ''}
`); printWindow.document.close(); printWindow.focus(); setTimeout(() => { printWindow.print(); printWindow.close(); }, 1000); } // Make print function globally available window.printPattern = printPattern; // Add success notification for downloads function showDownloadSuccess(filename) { const notification = document.createElement('div'); notification.style.cssText = ` position: fixed; top: 20px; right: 20px; background: #4caf50; color: white; padding: 15px 20px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0,0,0,0.2); z-index: 10000; font-family: Arial, sans-serif; font-size: 14px; opacity: 0; transition: opacity 0.3s ease; `; notification.textContent = `Downloaded: ${filename}`; document.body.appendChild(notification); // Fade in setTimeout(() => notification.style.opacity = '1', 100); // Remove after 3 seconds setTimeout(() => { notification.style.opacity = '0'; setTimeout(() => document.body.removeChild(notification), 300); }, 3000); } // Enhanced download handler with success notification function enhancedDownloadHandler(url, filename) { try { const link = document.createElement('a'); link.href = url; link.download = filename; link.style.display = 'none'; document.body.appendChild(link); link.click(); document.body.removeChild(link); showDownloadSuccess(filename); } catch (error) { console.error('Download error:', error); window.open(url, '_blank'); } } // Make enhanced download handler globally available window.enhancedDownloadHandler = enhancedDownloadHandler; console.log('Fashion Garment Pattern Cutout script initialized successfully'); // Task Tracker UI logic function updateTaskProgress(percent, message) { document.getElementById('task-progress-bar').style.width = percent + '%'; document.getElementById('task-status-text').textContent = message; } // Example usage: simulate task progress let progress = 0; const interval = setInterval(() => { if (progress >= 100) { clearInterval(interval); updateTaskProgress(100, 'Task Completed'); } else { progress += 10; updateTaskProgress(progress, `Processing (${progress}%)`); } }, 500);

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