pluckless
Photo to clean SVG, with real ML doing the heavy lifting.
Controlled airspace
- BiRefNet
- SAM 2
- Cloudflare R2/D1/Queues
- Fly GPU
- Python
pluckless is the most ambitious thing in this list, and the one that carries the ML and infrastructure story.
The job sounds simple — turn a photo into a clean SVG — but doing it well means real models, not heuristics. A request fans out across a small pipeline: BiRefNet mattes the subject from its background, SAM 2 segments it into coherent regions, and a vectorizer turns those regions into layered, editable paths.
The architecture is the case study. Cloudflare Queues decouple upload from the expensive GPU step; R2 holds the originals and outputs; D1 tracks job state; and a Fly GPU worker does inference and reports back. It’s a practical pattern for putting heavyweight models behind a fast, cheap edge front door.
Private project — featured here as a writeup with screenshots, no public repo.
Screenshots
Screenshots and the full case study for pluckless are being charted.