--- license: apache-2.0 base_model: - Qwen/Qwen-Image-Edit-2511 base_model_relation: adapter pipeline_tag: image-text-to-image tags: - remote_sensing - satellite datasets: - satellite-image-deep-learning/SODA-A language: - en --- # SatEdit

Project Page GitHub

arXiv

SatEdit is a mask-conditioned satellite image editing framework for localized object addition and removal. Given a satellite image, a binary mask, and a text instruction, SatEdit edits the selected region while preserving the surrounding overhead scene.

SatEdit overview

## Highlights - Mask-conditioned satellite image editing for object-level addition and removal. - Localized edits guided by an input image, binary mask, and text prompt. - ComfyUI and Hugging Face Diffusers inference workflows. - LoRA fine-tuning for high-resolution image editing.

SatEdit data generation and fine-tuning pipeline

## Qualitative comparisons The figures below show qualitative editing examples and comparisons across models.

SatEdit qualitative comparison

SatEdit qualitative examples

## Semantic Composition of Dataset

SatEdit evaluation overview

## Usage Use the `` trigger in prompts when running the SatEdit LoRA. For example: ```text Add dense residential into the scene inside the provided mask ``` The model expects a satellite RGB image, a binary edit mask, and a text instruction describing the desired edit. ## Diffusers inference ```bash python "Diffusers Inference/infer_diffusers.py" \ --model_path /path/to/Qwen-Image-Edit \ --lora_path /path/to/satedit_lora \ --image /path/to/input.jpg \ --mask /path/to/mask.png \ --prompt "Add dense residential into the scene inside the provided mask" \ --output outputs/example.png ``` The complete inference code, ComfyUI workflow, training configuration, and installation instructions are available in the [GitHub repository](https://github.com/muhammad-talha-ad/SatEdit). ## Project page Visit the [SatEdit project page](https://muhammad-talha-ad.github.io/SatEdit/) for additional visual examples and project information. ## License Please review the licenses of this model, its base model, and all dependencies before use or redistribution. ## Citation If you find SatEdit useful in your research, please cite: ```bibtex @misc{rizwan2026satedit, title={SatEdit: A Mask-Conditioned Satellite Image Editing Framework for Localized Object Addition and Removal}, author={Muhammad Talha Rizwan and Muhammad Ahmed Amer}, year={2026}, eprint={2607.29367}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2607.29367} } ```