RMBG-2.0 vs mask2former-swin-large-ade-semantic

Specs, VRAM requirements and download trends — updated 10 November 2026.

briaai · A · Open weights
Params
221 M
Context
—
30d
408 K
facebook · B · Open weights
Params
220 M
Context
—
30d
336 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification RMBG-2.0 mask2former-swin-large-ade-semantic
Parameters 221 M 220 M
Architecture BiRefNet Mask2FormerForUniversalSegmentation
Context length — —
Licence other other
Commercial use Unknown Unknown
Languages — —
Downloads 30d 407,616 335,778
Downloads all time 11.0 M 5.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-10-29 2023-01-05

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

694 K273 K
RMBG-2.0 mask2former-swin-large-ade-semantic A overtook B on 9 Nov

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

RMBG-2.0 · fp16 1.5 GB / 24 GB
✅ Runs comfortably
mask2former-swin-large-ade-semantic · fp16 1.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons