AI Portrait Generator Web App

I’m building a web-based profile-photo generator that produces photographic-quality portraits from a user’s own uploaded images. My ideal stack is a React/Next.js front end with an Express or FastAPI back end, powered by Stable Diffusion (or comparable diffusion/GAN architecture) fine-tuned on each user’s photo set. PyTorch is the preferred framework.

Core flow
• User drags in 5–10 photos.
• Back end handles face detection, automatic cropping/alignment, and spins up a lightweight fine-tune or LoRA merge.
• Generator returns 10–20 high-resolution, realistically lit portraits in under five minutes.
• Results are streamed back to the UI with progress updates.

What I need from you
• Model orchestration code: dataset prep, training loop, safety checker, and inference pipeline.
• Front-end components: upload widget, gallery viewer, and download/share functions.
• Scalable deployment plan (Docker + GPU instance on AWS/GCP/Azure).
• Basic user authentication and Stripe tiered payment hooks (free preview, paid HD export).

Must also have the ability to upload backgrounds or scenes to put the profile image into.


Acceptance criteria
1. Output must convincingly match the subject while preserving photographic realism—no uncanny artifacts at 512×512 and 1024×1024.
2. End-to-end generation time per user < 5 min on a single A10/A100 GPU.
3. Codebase passes a clean install/start on a fresh cloud VM using the provided README.

If you’ve shipped diffusion-based tools before, especially with Stable Diffusion weights, let’s talk.