Feyn's follow-up to FeyNoBg lets you name the object to keep — "just the dog," "only the shoe" — and mattes out everything else. It's open source, built on Meta's SAM 3, and uses alpha mattes so hair and fuzzy edges survive the cut.
2026-09-10 · by Moe Ameen
On September 10, 2026, Feyn published MultiMatte, an open-source model for promptable background removal, in a technical write-up by Hafedh Hichri and Shreyash Nigam. The pitch is simple: it's a background remover you aim with words. Point it at a photo, name the object you want to keep — the write-up's example is an image with a dog and a bowl where you ask it to keep just the dog — and MultiMatte isolates that subject and mattes out everything else. It's the second model in Feyn's background-removal line, following FeyNoBg in July 2026; the new capability is selective, prompt-driven object retention rather than keeping every foreground element.
Technically, MultiMatte is built on Meta's SAM 3, the concept-promptable detector released in 2025, and inherits its text alignment and vocabulary. Feyn applied low-rank fine-tuning (a rank-16 LoRA adapter) that modifies about 19.49M of SAM 3's roughly 860M parameters — around 2.27% of the weights — targeting attention and MLP projections, including the CLIP text tower. The key difference from standard segmentation is the output: instead of a binary keep/drop mask, MultiMatte produces an alpha matte that assigns a continuous opacity value to every pixel, so fuzzy boundaries like hair, fur, and motion blur come through as they actually look rather than as a hard-edged cut.
Feyn reports large accuracy gains from that tuning. On the DIS-VD benchmark it posts a 0.901 S-measure versus SAM 3's 0.667, with improvements ranging from roughly +0.039 to +0.244 S-measure across the twelve benchmark splits it reports. The model was trained on 19,953 images over 14,000 steps using focal plus Dice loss, with human-written labels covering 4,949 of those images for prompt supervision.
It ships openly. MultiMatte is distributed through Feyn's NoBg library (Apache-2.0), with model weights on Hugging Face under `feyninc/multimatte` and a browser demo at usefeyn.com/multimatte. The write-up centers entirely on single uploaded photos, with no stated video support, so today it's best treated as a still-image tool. Treat the specific figures here as a snapshot from the launch write-up and check Feyn's pages for current details.
If you sell or promote products, the way to act on this today is to treat one promptable cutout as the seed of a launch campaign, not a one-off asset. Photograph the product however you can — a messy desk, a busy shelf — and use MultiMatte's prompt to isolate exactly the item, hair-clean edges and all. That transparent cutout is where [Kompozy](/) picks up. Drop it in as the subject of a brand-exact Carousel walking through the product's features, a Photo Post with your hero background, and a Quote Graphic pulling a review line over it — HyperFrames composites the subject onto your styling and layers on-brand captions and offer text, then reframes each piece to 9:16, 1:1, and 16:9 for every destination.
The concrete play for a product drop is turning that single cutout into a week of coordinated posts instead of one image. Kompozy fans the same subject across Photo Posts, Carousels, and Quote Graphics, drafts the supporting Text Posts, Blog Article, and Email Newsletter in your voice through a Persona Brief, and then Autopilot plus a per-post review pipeline schedule and publish the whole batch across the eight social platforms plus blog and email while attention is highest. MultiMatte does the hard part of the matte — picking one subject out of a busy frame; Kompozy does the hard part of the launch — making and shipping the content around it.
MultiMatte is an open-source, promptable background-removal model from Feyn, published September 10, 2026. You name the object you want to keep and it isolates that subject and mattes out the rest. It is built on Meta's SAM 3 with a small low-rank fine-tune and outputs alpha mattes (a per-pixel opacity value) so fuzzy edges like hair survive the cut.
FeyNoBg, Feyn's earlier model, keeps all foreground elements when it removes the background. MultiMatte adds promptability: you specify which object to keep by naming it, so it can isolate one subject out of a cluttered scene rather than retaining everything in the foreground.
Yes. MultiMatte ships through Feyn's NoBg library under the Apache-2.0 license, with model weights on Hugging Face (feyninc/multimatte) and a browser demo at usefeyn.com/multimatte. Your only cost is your own compute and integration time. Check Feyn's pages for the exact terms before commercial use.
Not directly. It is a still-image model — the write-up doesn't address video support. Removing a background from a clip today means running the model frame by frame through a pipeline you build.