DEV_INSTANCE // SOCIAL-GEN

SOCIALGEN_AI

Next.jsPython/FastAPIStable Diffusion APICloudinaryTailwind CSS
LATENCY

<120MS

UPTIME

99.9%

AUTH

VERIFIED

ENGINE

NEXT.JS

SocialGen AI

// 01.PROBLEM_DEFINITION

Fashion e-commerce suffers from high return rates and expensive photography cycles. Traditional software couldn't match lighting and fabric drape realistically.

// 02.IMPACT_METRICS

[1]

Reduced image generation latency by 35% through optimized FastAPI worker processes.

[2]

Integrated Cloudinary for advanced asset management and on-the-fly image transformations.

[3]

Built a custom queuing system to handle GPU-intensive tasks without blocking the main event loop.

// 03.ARCHITECTURE_RECAP

Developed a Python/FastAPI backend to interface with Stable Diffusion diffusion models. The frontend, built on Next.js, manages complex state for garment-to-model mapping, allowing users to generate high-fidelity marketing assets in under 15 seconds.

Ankit Aryal | Full-Stack Engineer & Automation Architect