briaai / image-segmentation updated 1 year ago

RMBG-1.4

Name: RMBG-1.4
Author: briaai

RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficienc...

Params

40 M

Context

—

Downloads 30d

319 K

Likes

2,011

Licence: other Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

319 K286 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.2 GB	0.7 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: BriaRMBG
Parameters: 40 M
Tensor type: F32
Licence: other
First seen on the Hub: 2023-12-12
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

clipseg-rd64-refined 1.1 M BiRefNet 715 K segformer-b0-finetuned-ade-512-512 364 K segformer-b2-finetuned-ade-512-512 338 K segformer_b2_clothes 306 K mask2former-swin-tiny-coco-instance 211 K

Appears in

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