Image Style Transfer
Upload any photo and apply a famous art style: Van Gogh, Munch, Picasso, and more. Uses fast neural style transfer models running on the server with OpenCV DNN — no GPU required.
Models
7 styles
Backend
Flask + OpenCV
Inference
CPU only
Max input
10 MB
How it works
Approach
Upload image and style, preprocess (decode, resize ≤1024px, DNN blob with mean subtraction), run inference through pre-trained fast neural style net (.t7 format), de-normalise output, clip values, encode as JPEG, return base64. Available styles: Starry Night, The Scream, La Muse, Candy, Mosaic, Udnie, Feathers.
Decisions
OpenCV DNN over PyTorch: 30 MB vs 700 MB — memory is critical on a VPS. Pre-trained feed-forward nets over arbitrary style transfer for faster, more predictable results. CPU-only inference is fast enough on Hetzner CX23 (~3-8s). Base64 response lets the frontend show results immediately without a second round-trip.
Security
- Input validation: file type check, max 10 MB, resize ≤1024px
- No uploaded images stored — processed and discarded
Want something like this built for your business?
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