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

Specs, VRAM requirements and download trends — updated 21 September 2026.

briaai · A
Params
220 M
Context
30d
622 K
facebook · B
Params
220 M
Context
30d
295 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification RMBG-2.0 mask2former-swin-large-ade-semantic
Parameters 220 M 220 M
Architecture BiRefNet Mask2FormerForUniversalSegmentation
Context length
Licence other other
Commercial use Unknown Unknown
Languages
Downloads 30d 621,979 294,688
Downloads all time 10.3 M 4.6 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 56 days (28 Jul – 21 Sep)

702 K284 K
RMBG-2.0 mask2former-swin-large-ade-semantic

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