Tools · fofr/face-to-sticker
Face to Sticker — sticker from a face photo
Face to Sticker is a narrow tool: you hand in a face photo, you get a transparent-background sticker that keeps the person recognisable. It is built for named packs, reactions with a specific hero, and gift sets — not for abstract “characters in a style”.
Sensible uses
- Sticker packs with a real person — for a team, a brand, or a gift.
- A series of reactions with one face, with no identity “jumping” from file to file.
- Fast prototype: prove the idea in a minute without pulling in an illustrator.
How it differs from Sticker Maker
Sticker Maker (same author, fofr) builds packs from scratch off a text description. Face to Sticker starts from a photo: the model holds likeness with InstantID under the hood. For a pack without a specific person — pick Sticker Maker; for a recognisable hero — Face to Sticker.
What you need on input
A clear front-on face photo (no harsh shadows or masks) and a short style description. The InstantID and IP-Adapter knobs tune how close the result stays to the original — high values keep the face exact, low ones give the model more artistic room.
Cost is per sticker and shown in the app. For a larger pack, run a series with the same style so files read as a single set.
Frequently asked about Face to Sticker
Will the face be recognisable?
On front-on photos with good light, usually yes. On profile views, heavy shadows, or small faces the likeness drops — the model prioritises style over identity there.
Can I build a pack of several emotions?
Yes — run a series with the same photo and different emotion descriptions. To keep the pack coherent, hold style and parameters constant across runs.
What is the output format?
PNG with a transparent background — ready for Telegram and other messengers with no extra processing.