RoPEMover by Ipek Oztas: Open-Weight Model

Model Card

By Ipek Oztas, published under apache-2.0, revision f974748dc1eb.

İpek Öztaş, Duygu Ceylan, Aybars Buğra Aksoy, Ayşegül Dündar This repository contains the RoPEMover LoRA (rank 16) for RoPEMover moves an object in a single image by manipulating a depth-aware 3D extension of the diffusion transformer's rotary positional embeddings. This LoRA requires the modified pipeline from the RoPEMover code repository. It does not work with the stock Qwen-Image-Edit pipeline. The weights are downloaded from this repository automatically. Apache 2.0. Use is also subject to the license of

Read Ipek Oztas's full model card

RoPEMover: Depth-Aware Object Relocation via Positional Embeddings

Project page · Code · arXiv

İpek Öztaş, Duygu Ceylan, Aybars Buğra Aksoy, Ayşegül Dündar

This repository contains the RoPEMover LoRA (rank 16) for Qwen-Image-Edit-2511. RoPEMover moves an object in a single image by manipulating a depth-aware 3D extension of the diffusion transformer's rotary positional embeddings.

File	Description
`ropemover_qwen_image_edit_2511_lora.safetensors`	LoRA trained on 5k synthetic CLEVR pairs, then fine-tuned on real captured pairs

Usage

This LoRA requires the modified pipeline from the RoPEMover code repository. It does not work with the stock Qwen-Image-Edit pipeline.

git clone https://github.com/ipekoztas/RoPEMover.git && cd RoPEMover
pip install -r requirements.txt
python inference.py --image image.jpg --mask mask.png \
    --prompt "Move the mug to the right." --dx 300 --dy -40 --dz 0.1 --output out.png

The weights are downloaded from this repository automatically.

Citation

@article{oztas2026ropemover,
  title   = {RoPEMover: Depth-Aware Object Relocation via Positional Embeddings},
  author  = {Oztas, Ipek and Ceylan, Duygu and Aksoy, Aybars Bugra and Dundar, Aysegul},
  journal = {arXiv preprint},
  year    = {2026}
}

License

Apache 2.0. Use is also subject to the license of Qwen-Image-Edit-2511.

Identity and Version

Repository: ipekoztas/RoPEMover
Publisher: Ipek Oztas
Task: Image to image
Modality: Image
Library: diffsynth
Parameters: Not stated by the source
Languages: Not stated by the source
Revision: f974748dc1eb0c56eecba4e0b3b8adf8f47ac7cf
First published: 2026-10-04
Last updated: 2026-10-04

Files and Weights

3 files, 236.1 MB in total. The weights are 1 file totalling 236.1 MB in safetensors.

Weights1 file · 236.1 MB

Documentation1 file · 1.8 KB

Repository1 file · 1.5 KB

Every file

File	Type	Size	SHA-256
ropemover_qwen_image_edit_2511_lora.safetensors	Weights	236.1 MB	ae079291dc55
README.md	Documentation	1.8 KB	—
.gitattributes	Repository	1.5 KB	—

License and Download

License: apache-2.0
Access: Open weights, no gate
Download size: 236.1 MB

Download from Ipek Oztas

Released by Ipek Oztas through its official repository on Hugging Face. Read the license.

Built From

Adapter of Qwen/Qwen-Image-Edit-2511
Derived from Qwen/Qwen-Image-Edit-2511
Described by arXiv:2606.27332

Memory Requirements

Precision	Weights in memory
As published	236.1 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About RoPEMover

Can I use RoPEMover commercially?

Yes. RoPEMover is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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