1,011 models · refreshed nightly

Image segmentation models

Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

All text-generation 400 text-to-image 150 ASR 89 image-text-to-text 82 sentence-similarity 55 feature-extraction 47 translation 44 text-classification 39 image-classification 32 token-classification 22 text-to-speech 16 audio-classification 12 image-segmentation 8 object-detection 8 summarization 7

Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB

8 models

#	Model	Params	Context	Commercial use	30d	Min VRAM
01	clipseg-rd64-refined CIDAS · image-segmentation	150 M	—	✓ apache-2.0	1.1 M	from 1.2 GB
02	BiRefNet ZhengPeng7 · image-segmentation	220 M	—	✓ mit	715 K	from 1.0 GB
03	RMBG-2.0 briaai · image-segmentation · gated	220 M	—	other	702 K	from 1.5 GB
04	mask2former-swin-large-ade-semantic facebook · image-segmentation	220 M	—	other	625 K	from 1.5 GB
05	segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation	0 M	—	other	364 K	from 0.5 GB
06	segformer-b2-finetuned-ade-512-512 nvidia · image-segmentation	—	—	other	338 K	—
07	RMBG-1.4 briaai · image-segmentation	40 M	—	other	319 K	from 0.7 GB
08	segformer_b2_clothes mattmdjaga · image-segmentation	30 M	—	other	306 K	from 0.6 GB

VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.