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license: apache-2.0
tags:
- sam2
- segment-anything
- onnx
- mirror
library_name: onnxruntime
---
# SAM2 ONNX Mirror (A.I.M.I)
Mirror of [SharpAI's SAM2 ONNX exports](https://huggingface.co/SharpAI) for A.I.M.I's "Smart-Mask" (click-to-select) feature. Used by the Edit tab's SAM2 workflow — user clicks anywhere on a subject, gets a pixel-perfect alpha mask in ~500 ms.
Contents unmodified from upstream.
## Files
### `hiera-tiny/` — small + fast (default at all tiers)
| File | Size | Purpose |
|---|---|---|
| `encoder.onnx` | 128 MB | Image encoder (run once per image) |
| `decoder.onnx` | 20 MB | Click-to-mask decoder (run per click) |
### `hiera-base-plus/` — slightly better masks, slightly slower (Expert option)
| File | Size | Purpose |
|---|---|---|
| `encoder.onnx` | 324 MB | Image encoder (base-plus variant) |
| `decoder.onnx` | 20 MB | Click-to-mask decoder |
Total: ~500 MB.
## License
Meta AI's Segment Anything 2 (SAM2) code + weights: **Apache 2.0**. ONNX conversion by [SharpAI](https://huggingface.co/SharpAI) on HuggingFace, redistributed here under the same license.
## Attribution
- **SAM2**: Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, Christoph Feichtenhofer — *SAM 2: Segment Anything in Images and Videos* (Meta AI Research, 2024).
- **ONNX export**: SharpAI on HuggingFace.
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