📷 Polaroid Moments Generator

Core Source Code & Vintage Photo Synthesis Implementation

React 19 TypeScript Gemini AI Image Generation

🔍 About This Code Showcase

This curated code snippet demonstrates how the Polaroid Moments Generator blends two personal images into cohesive vintage compositions with authentic Polaroid aesthetics and multiple pose variations.

Full deployment scripts, API integrations, and proprietary details are omitted for clarity and security. This showcase highlights the core image fusion algorithms and vintage style transfer techniques.

🎨 Core Algorithm: Dual Image Fusion Engine

The heart of the Polaroid Moments Generator is its ability to intelligently blend two separate photos into cohesive vintage compositions. Here's the core implementation:

📄 polaroid_fusion.ts
import { GoogleGenerativeAI } from '@google/generative-ai'; interface PoseVariation { arrangement: string; composition: string; relativePositioning: string; intimacyLevel: number; } class PolaroidFusionEngine { private genAI: GoogleGenerativeAI; // Pre-defined pose variations for natural-looking compositions private poseTemplates: PoseVariation[] = [ { arrangement: 'side_by_side', composition: 'shoulder_to_shoulder', relativePositioning: 'equal_height', intimacyLevel: 0.7 }, { arrangement: 'embracing', composition: 'one_arm_around', relativePositioning: 'slight_lean', intimacyLevel: 0.9 }, { arrangement: 'back_to_back', composition: 'playful_stance', relativePositioning: 'mirror_heights', intimacyLevel: 0.5 } ]; constructor(apiKey: string) { this.genAI = new GoogleGenerativeAI(apiKey); } async generatePolaroidMoments(image1: File, image2: File): Promise<string[]> { """ Blend two separate photos into multiple Polaroid-style compositions. Maintains facial identity while creating natural-looking togetherness. Args: image1, image2: The two individual photos to blend Returns: Array of base64-encoded Polaroid-style images with different poses """ // First, analyze both images to understand subjects and composition const analysis1 = await this.analyzeSubject(image1); const analysis2 = await this.analyzeSubject(image2); // Determine optimal blending strategy based on image characteristics const blendingStrategy = this.calculateBlendingStrategy(analysis1, analysis2); const polaroidMoments: string[] = []; // Generate multiple pose variations for creative variety for (const pose of this.poseTemplates) { const fusionPrompt = this.buildFusionPrompt(pose, blendingStrategy); // Core AI fusion - the magic happens here const result = await this.model.generateContent([ fusionPrompt, { inlineData: { data: await this.convertToBase64(image1), mimeType: image1.type } }, { inlineData: { data: await this.convertToBase64(image2), mimeType: image2.type } } ]); // Apply vintage Polaroid aesthetic post-processing const polaroidStyled = await this.applyVintageEffects(result, pose); polaroidMoments.push(polaroidStyled); } return polaroidMoments; } private buildFusionPrompt(pose: PoseVariation, strategy: any): string { // Carefully crafted prompt ensures natural-looking results return `Create a single vintage Polaroid photo showing both people together in a ${pose.arrangement} pose. Composition: ${pose.composition} with ${pose.relativePositioning} positioning. CRITICAL REQUIREMENTS: - Maintain exact facial features and identity of both people - Blend lighting naturally so they appear photographed together - Use authentic 1970s Polaroid aesthetic: warm tones, soft focus, film grain - Add classic white Polaroid border with subtle aging - Ensure pose looks natural and candid, not forced - Match skin tones and adjust for consistent lighting Result should look like an authentic vintage Polaroid from a real moment.`; } }

🎞️ Vintage Style Transfer Pipeline

The authentic Polaroid aesthetic requires sophisticated color grading and film simulation to recreate the distinctive look of instant film:

📄 vintage_processor.ts
class VintageProcessor { async applyPolaroidAesthetic(imageData: string): Promise<string> { """ Apply authentic Polaroid film characteristics to the generated image. Recreates the distinctive color palette, grain, and border of instant film. """ // Step 1: Color grading to match Polaroid film chemistry const colorGraded = await this.applyPolaroidColorGrading(imageData); // Step 2: Add film grain for authentic texture const grainAdded = await this.addFilmGrain(colorGraded, { intensity: 0.15, pattern: 'organic', colorVariation: 0.08 }); // Step 3: Apply soft focus characteristic of instant film const softFocus = await this.applySoftFocus(grainAdded, { radius: 1.2, preserveDetails: true }); // Step 4: Add the iconic white border with subtle aging const withBorder = await this.addPolaroidBorder(softFocus, { borderWidth: 40, agingLevel: 0.3, yellowTint: 0.12 }); return withBorder; } private applyPolaroidColorGrading(imageData: string) { """Apply the distinctive warm, muted color palette of Polaroid film""" const colorAdjustments = { // Polaroid SX-70 film characteristics temperature: +200, // Warmer tone tint: +15, // Slight magenta shift saturation: -0.2, // Muted colors contrast: -0.1, // Softer contrast highlights: -0.3, // Compressed highlights shadows: +0.2, // Lifted shadows // Color channel adjustments for authentic look redChannel: { gamma: 1.1, gain: 1.05 }, greenChannel: { gamma: 0.95, gain: 0.98 }, blueChannel: { gamma: 0.9, gain: 0.92 } }; return this.processColorChannels(imageData, colorAdjustments); } private addFilmGrain(imageData: string, options: any) { """Add organic film grain that mimics silver halide crystals""" // Generate procedural grain pattern based on real Polaroid film analysis const grainPattern = this.generateOrganicGrain({ size: 0.8, distribution: 'gaussian', luminanceVariation: options.intensity, chromaVariation: options.colorVariation }); // Blend grain with image using screen mode for authentic look return this.blendGrain(imageData, grainPattern, 'screen'); } }

⚙️ Technical Implementation Notes

Key Algorithms & Innovations

Why This Approach Works