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license: apache-2.0
base_model:
- ByteDance-Seed/BAGEL-7B-MoT
pipeline_tag: any-to-any
library_name: bagel-mot
arxiv: 2507.14119
---
# 🥯 BAGEL-NHR-Edit
<p align="left">
<a href="https://riko0.github.io/No-Humans-Required/"> 🌐 NHR Website </a> |
<a href="https://arxiv.org/abs/2507.14119"> 📜 NHR Paper on arXiv </a> |
<a href="https://huggingface.co/datasets/iitolstykh/NHR-Edit"> 🤗 NHR-Edit Dataset (part 1) </a> |
<a href="https://huggingface.co/datasets/iitolstykh/NHR-Edit-part2"> 🤗 NHR-Edit Dataset (part 2) </a> |
</p>
This repository hosts the model weights for **BAGEL**, fine-tuned on the **[NHR-Edit](https://huggingface.co/datasets/iitolstykh/NHR-Edit)** dataset (**on the part 1 only**). For installation, usage instructions, and further documentation, please visit the [official BAGEL GitHub repository](https://github.com/bytedance-seed/BAGEL).
### 🛠️ Training Setup
We performed parameter-efficient adaptation on the generation expert’s attention and FFN projection layers using LoRA.
LoRA parameters:
```
r = 16
lora_alpha = 16
dropout = 0.05
bias = "none"
target_modules = [
"v_proj_moe_gen",
"k_proj_moe_gen",
"mlp_moe_gen.down_proj",
"mlp_moe_gen.gate_proj",
"q_proj_moe_gen",
"mlp_moe_gen.up_proj",
"o_proj_moe_gen"
]
```
### 📊 Image Editing Metrics
#### Metrics for GEdit-Bench-EN:
| Model | GEdit-Bench-EN (SC) ↑ | GEdit-Bench-EN (PQ) ↑ | GEdit-Bench-EN (O) ↑|
| ------------- | --------------------- | --------------------- | ------------------- |
| BAGEL-7B-MoT | 7.983 | 6.570 | 6.921 |
| **BAGEL-NHR-Edit** | 8.067 | 6.881 | 7.115 |
> *Scoring model:* `gpt-4.1-2025-04-14` *(with default temperature)*
#### Metrics for ImgEdit-Bench:
| Model | Style | Extract | Remove | Background | Action | Adjust | Add | Replace | Compose | Overall ↑ |
| ------------- | ----- | ------- | ------ | -----------| ------ | ------ | ----| ------- | ------- | ------- |
| BAGEL-7B-MoT | 4.22| 1.53| 3.04| 3.3| 4.07| 3.67| 3.98| 3.5 | 3.0 | 3.3 |
| **BAGEL-NHR-Edit** | 4.3| 1.62| 3.18| 3.42| 3.95| 3.55| 4.19| 3.77| 2.94| 3.39|
> *Scoring model:* `gpt-4o-2024-11-20` *(with temperature = 0.0)*
### 🖼️ Image Editing Results
Generated images for ImgEdit-Bench and GEdit-Bench are included in this repository.
Results comparison between original Bagel-7B-MoT and BAGEL-NHR-EDIT on samples from ImgEdit and GEdit benches:
### License
**BAGEL-NHR-Edit** is licensed under the Apache 2.0 license. It is finetuned from [ByteDance-Seed/BAGEL-7B-MoT](https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT), which is also licensed under Apache 2.0.
### ✍️ Citation
```bibtex
@article{Layer2025NoHumansRequired,
arxivId = {2507.14119},
author = {Maksim Kuprashevich and Grigorii Alekseenko and Irina Tolstykh and Georgii Fedorov and Bulat Suleimanov and Vladimir Dokholyan and Aleksandr Gordeev},
title = {{NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining}},
year = {2025},
eprint = {2507.14119},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2507.14119},
journal={arXiv preprint arXiv:2507.14119}
}
```
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