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Fashion Studio is an AI-powered fashion creation platform designed to help fashion brands and creators generate professional product visuals without traditional photoshoots.
The platform combines virtual try-on, AI model generation, image generation, video generation, face swapping, and quality assurance into a single workflow.
I worked on the backend and AI integration layer, building APIs and workflows that connect the platform with multiple AI services and handle the generation lifecycle from user input to final output.
Key features include:
👗 Virtual Try-On — Apply garments and accessories to generated or uploaded models.
🧑🎨 AI Model Generation — Create realistic fashion models with configurable gender, appearance, measurements, poses, and backgrounds.
🖼️ AI Image Generation — Generate fashion campaigns and product visuals from prompts and references.
🎬 AI Video Generation — Turn generated fashion imagery into promotional videos.
🔄 Face Swap — Generate customized fashion content using face-swapping workflows.
🛡️ AI Quality Assurance — Automatically evaluate generated results and retry failed generations when necessary.
📚 Generation Library — Track and manage generated assets and their parameters.
💳 Credits & Billing — Manage generation credits, subscriptions, usage, and add-on credits.
⚙️ Generation Parameters — Store model configuration, garments, poses, backgrounds, aspect ratios, and generation metadata.
Technology
Python · Django · FastAPI · PostgreSQL · REST APIs · Replicate · OpenAI · Docker · AI Image Generation · AI Video Generation
My Role
Backend Engineer / AI Integration Engineer
I focused on designing the backend APIs, integrating AI generation services, building generation workflows, handling asynchronous processing and failures, and connecting the AI capabilities with the product's user-facing workflows.
The network for creativity
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