RMBG-1.4
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
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Likes
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Download history
daily snapshots · 106 days
▲ 15 K in the last 30 days (5.6%)
269 K240 K
Oct 12Oct 22Nov 1Nov 10
449 K240 K
Aug 13Sep 12Oct 12Nov 10
449 K240 K
Jul 28Sep 1Oct 6Nov 10
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 any image-segmentation model