---
license: cc
tags:
- image-to-image
datasets:
- peter-sushko/RealEdit
pipeline_tag: image-to-image
---

# REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
Project page: https://peter-sushko.github.io/RealEdit/  
Data: https://huggingface.co/datasets/peter-sushko/RealEdit

Paper: https://arxiv.org/pdf/2502.03629

<img src="https://peter-sushko.github.io/RealEdit/static/images/teaser.svg"/>  


**There are 2 ways to run inference: either via Diffusers or original InstructPix2Pix pipeline.**

## Option 1: With 🧨Diffusers:

Install necessary libraries:

```bash
pip install torch==2.7.0 diffusers==0.33.1 transformers==4.51.3 accelerate==1.6.0 pillow==11.2.1 requests==2.32.3
```
Then run:

```python
import torch
import requests
import PIL
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler

model_id = "peter-sushko/RealEdit"
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    safety_checker=None
)
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

url = "https://raw.githubusercontent.com/AyanaBharadwaj/RealEdit/refs/heads/main/example_imgs/simba.jpg"
def download_image(url):
    image = PIL.Image.open(requests.get(url, stream=True).raw)
    image = PIL.ImageOps.exif_transpose(image)
    image = image.convert("RGB")
    return image
image = download_image(url)

prompt = "give him a crown"
result = pipe(prompt, image=image, num_inference_steps=50, image_guidance_scale=2).images[0]
result.save("output.png")
```  


## Option 2: via InstructPix2Pix pipeline:

Clone the repository and set up the directory structure:

```bash
git clone https://github.com/timothybrooks/instruct-pix2pix.git
cd instruct-pix2pix
mkdir checkpoints
```

Download the fine-tuned checkpoint into the `checkpoints` directory:

```bash
cd checkpoints
# wget https://huggingface.co/peter-sushko/RealEdit/resolve/main/realedit_model.ckpt
```

Return to the repo root and follow the [InstructPix2Pix installation guide](https://github.com/timothybrooks/instruct-pix2pix) to set up the environment.

Edit a single image

```bash
python edit_cli.py \
  --input [YOUR_IMG_PATH] \
  --output imgs/output.jpg \
  --edit "YOUR EDIT INSTRUCTION" \
  --ckpt checkpoints/realedit_model.ckpt
```

## Citation

If you find this checkpoint helpful, please cite:

```
@misc{sushko2025realeditredditeditslargescale,
      title={REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations}, 
      author={Peter Sushko and Ayana Bharadwaj and Zhi Yang Lim and Vasily Ilin and Ben Caffee and Dongping Chen and Mohammadreza Salehi and Cheng-Yu Hsieh and Ranjay Krishna},
      year={2025},
      eprint={2502.03629},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.03629}, 
}
```