🤗 HuggingFace | 🖥️ Demo | 📄 Technical Report | 💻 Code
## 🔥 FireRed-Image-Edit **FireRed-Image-Edit** is a general-purpose image editing model that delivers high-fidelity and consistent editing across a wide range of scenarios. It is introduced in the paper [FireRed-Image-Edit-1.0 Technical Report](https://huggingface.co/papers/2602.13344). ## ✨ Key Features - **Strong Editing Performance**: FireRed-Image-Edit delivers leading open-source results with accurate instruction following, high image quality, and consistent visual coherence. - **Native Editing Capability**: Built directly from text-to-image foundation model and endowed with editing capabilities. - **Text Style Preservation**: Maintains text styles with high fidelity, achieving performance comparable to closed-source solutions. - **Photo Restoration**: High-quality old photo restoration and enhancement. - **Multi-Image Editing**: Flexible editing of multiple images such as virtual try-on. ## 📰 News - 2026.02.14: We released FireRed-Image-Edit-1.0 model weights. Check more details in the [Model Zoo](#-model-zoo) section. - 2026.02.10: We released the [Technical Report](https://huggingface.co/papers/2602.13344) of FireRed-Image-Edit-1.0. ## 🎨 Showcase Some real outputs produced by FireRed-Image-Edit across general editing.
## 🗂️ Model Zoo
| Models | Task | Description | Download Link |
|---|---|---|---|
| FireRed-Image-Edit-1.0 | Image-Editing | General-purpose image editing model | 🤗 HuggingFace |
| FireRed-Image-Edit-1.0-Distilled | Image-Editing | Distilled version of FireRed-Image-Edit-1.0 for faster inference | To be released |
| FireRed-Image | Text-to-Image | High-quality text-to-image generation model | To be released |
## ⚡️ Quick Start 1. Install the latest version of diffusers ``` pip install git+https://github.com/huggingface/diffusers ``` 2. Use the following code snippets to generate or edit images. ``` python inference.py \ --input_image ./examples/edit_example.png \ --prompt "在书本封面Python的下方，添加一行英文文字2nd Edition" \ --output_image output_edit.png \ --seed 43 ``` ## 📊 Benchmark To better validate the capabilities of our model, we propose a benchmark called REDEdit-Bench. Our main goal is to build more diverse scenarios and editing instructions that better align with human language, enabling a more comprehensive evaluation of current editing models. We collected over 3,000 images from the internet, and after careful expert-designed selection, we constructed 1,673 bilingual (Chinese–English) editing pairs across 15 categories. ### Inference and Evaluation Code We provide the inference and evaluation code for REDEdit-Bench. Please refer to the [redbench_infer.py](./src/tools/redbench_infer.py) and [redbench_eval.py](./src/tools/redbench_eval.py) scripts in the `src/tools` directory for more details. ### Results on ImgEdit
| Model | Overall ↑ | Add | Adjust | Extract | Replace | Remove | BG | Style | Hybrid | Action |
|---|---|---|---|---|---|---|---|---|---|---|
| 🔹 Proprietary Models | ||||||||||
| Nano-Banana | 4.29 | 4.62 | 4.41 | 3.68 | 4.34 | 4.39 | 4.40 | 4.18 | 3.72 | 4.83 |
| Seedream4.0 | 4.30 | 4.33 | 4.38 | 3.89 | 4.65 | 4.57 | 4.35 | 4.22 | 3.71 | 4.61 |
| Seedream4.5 | 4.32 | 4.57 | 4.65 | 2.97 | 4.66 | 4.46 | 4.37 | 4.92 | 3.71 | 4.56 |
| Nano-Banana-Pro | 4.37 | 4.44 | 4.62 | 3.42 | 4.60 | 4.63 | 4.32 | 4.97 | 3.64 | 4.69 |
| 🔹 Open-source Models | ||||||||||
| FLUX.1 Kontext [Dev] | 3.71 | 3.99 | 3.88 | 2.19 | 4.27 | 3.13 | 3.98 | 4.51 | 3.23 | 4.18 |
| Step1X-Edit-v1.2 | 3.95 | 3.91 | 4.04 | 2.68 | 4.48 | 4.26 | 3.90 | 4.82 | 3.23 | 4.22 |
| Qwen-Image-Edit-2509 | 4.31 | 4.34 | 4.27 | 3.42 | 4.73 | 4.36 | 4.37 | 4.91 | 3.56 | 4.80 |
| FLUX.2 [Dev] | 4.35 | 4.50 | 4.18 | 3.83 | 4.65 | 4.65 | 4.31 | 4.88 | 3.46 | 4.70 |
| LongCat-Image-Edit | 4.45 | 4.44 | 4.53 | 3.83 | 4.80 | 4.60 | 4.33 | 4.92 | 3.75 | 4.82 |
| Qwen-Image-Edit-2511 | 4.51 | 4.54 | 4.57 | 4.13 | 4.70 | 4.46 | 4.36 | 4.89 | 4.16 | 4.81 |
| FireRed-Image-Edit | 4.56 | 4.55 | 4.66 | 4.34 | 4.75 | 4.58 | 4.45 | 4.97 | 4.07 | 4.71 |