InstructPix2Pix checkpoint finetuned with the RealEdit dataset

1 · Environment preparation

Clone the repository and set up the directory structure:

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

Download the fine-tuned checkpoint into the checkpoints directory:

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 to set up the environment.

2 · Running the model

Edit a single image

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

Launch the Gradio interface

python edit_app.py --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}, 
}