---
language:
- en
base_model:
- BAAI/Emu3-Stage1
---

# EARL - SFT (S) (8B)

**Model Name:** `mair-lab/sft-simple`  
**Model Size:** 8B parameters  
**Base Model:** [BAAI/Emu3-Stage1](https://huggingface.co/BAAI/Emu3-Stage1)  
**Training Method:** Supervised Fine-Tuning (SFT)  
**Dataset:** Simple Edit (S)  

This model is part of the EARL benchmark effort introduced in our paper:  
👉 [EARL: The Promise of RL for Autoregressive Image Editing](https://arxiv.org/abs/2508.01119)

## Model Summary

This SFT model is fine-tuned from Emu3 using direct supervision on the Simple Edit dataset. It is optimized for general-purpose autoregressive image editing without requiring intermediate reasoning steps. This model achieves state-of-the-art performance on several editing benchmarks across modalities.

➡️ **Inference script and usage:** [GitHub Repo](https://github.com/saba96/EARL?tab=readme-ov-file)

## Benchmark Results (Avg Score Across Benchmarks)

| Model           | Base Model | OmniEdit | EmuEdit | AURORA | MB   | VisMin | I2EBench | **AVG** |
|----------------|------------|----------|---------|--------|------|--------|----------|---------|
| Magicbrush     | SD v1.5    | 3.43     | 3.28    | 3.01   | 3.64 | 3.48   | 3.06     | 3.32    |
| InstructPix2Pix| SD v1.5    | 3.97     | 3.24    | 3.05   | 3.12 | 2.94   | 3.23     | 3.26    |
| Aurora         | SD v1.5    | 4.50     | 4.40    | 4.12   | 4.62 | 3.82   | 3.58     | 4.17    |
| Omnigen*       | -          | 5.68     | 5.00    | 4.10   | 4.68 | 4.09   | 4.68     | 4.70    |
| **SFT (S)**     | Emu3       | 5.73     | 3.66    | 3.58   | 3.19 | 3.57   | 3.59     | **3.88** |

> 📈 **Note:** The Emu3-based SFT (S) model achieves top results among all open-source supervised models on **OmniEdit** and competitive performance across other benchmarks.

## Use Cases

- Open-ended and instruction-guided image editing
- Object, attribute, style and environment change