nunchaku-tech
/

nunchaku-qwen-image-edit

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----
-base_model: Qwen/Qwen-Image-Edit
-base_model_relation: quantized
-datasets:
-- mit-han-lab/svdquant-datasets
-language:
-- en
-library_name: diffusers
-license: apache-2.0
-pipeline_tag: text-to-image
-tags:
-- image-editing
-- SVDQuant
-- Qwen-Image-Edit
-- Diffusion
-- Quantization
-- ICLR2025
----
-<p align="center" style="border-radius: 10px">
-  <img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
-</p>
-<div align="center">
-  <a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2FWk6PnwX9Sm%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total height=22px></a>
-  <a href=https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/wechat.jpg target="_blank"><img src=https://img.shields.io/badge/WeChat-07C160?logo=wechat&logoColor=white height=22px></a>
-</div>
-# Model Card for nunchaku-qwen-image-edit
-![comfyui](https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-qwen-image-edit.png)
-This repository contains Nunchaku-quantized versions of [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit), an image-editing model based on [Qwen-Image](https://huggingface.co/Qwen/Qwen-Image), advances in complex text rendering. It is optimized for efficient inference while maintaining minimal loss in performance.
-No recent news. Stay tuned for updates!
-## Model Details
-### Model Description
-- **Developed by:** Nunchaku Team
-- **Model type:** image-to-image
-- **License:** apache-2.0
-- **Quantized from model:** [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit)
-### Model Files
-- [`svdq-int4_r32-qwen-image-edit.safetensors`](./svdq-int4_r32-qwen-image-edit.safetensors): SVDQuant INT4 (rank 32) Qwen-Image-Edit model. For users with non-Blackwell GPUs (pre-50-series).
-- [`svdq-int4_r128-qwen-image-edit.safetensors`](./svdq-int4_r128-qwen-image-edit.safetensors): SVDQuant INT4 (rank 128) Qwen-Image-Edit model. For users with non-Blackwell GPUs (pre-50-series). It offers better quality than the rank 32 model, but it is slower.
-- [`svdq-int4_r32-qwen-image-edit-lightningv1.0-4steps.safetensors`](./svdq-int4_r32-qwen-image-edit-lightningv1.0-4steps.safetensors): SVDQuant INT4 (rank 32) 4-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series).
-- [`svdq-int4_r128-qwen-image-edit-lightningv1.0-4steps.safetensors`](./svdq-int4_r128-qwen-image-edit-lightningv1.0-4steps.safetensors): SVDQuant INT4 (rank 128) 4-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series).
-- [`svdq-int4_r32-qwen-image-edit-lightningv1.0-8steps.safetensors`](./svdq-int4_r32-qwen-image-edit-lightningv1.0-8steps.safetensors): SVDQuant INT4 (rank 32) 8-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series).
-- [`svdq-int4_r128-qwen-image-edit-lightningv1.0-8steps.safetensors`](./svdq-int4_r128-qwen-image-edit-lightningv1.0-8steps.safetensors): SVDQuant INT4 (rank 128) 8-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series).
-- [`svdq-fp4_r32-qwen-image-edit.safetensors`](./svdq-fp4_r32-qwen-image-edit.safetensors): SVDQuant NVFP4 (rank 32) Qwen-Image-Edit model. For users with Blackwell GPUs (50-series).
-- [`svdq-fp4_r128-qwen-image-edit.safetensors`](./svdq-fp4_r128-qwen-image-edit.safetensors): SVDQuant NVFP4 (rank 128) Qwen-Image-Edit model. For users with Blackwell GPUs (50-series). It offers better quality than the rank 32 model, but it is slower.
-- [`svdq-fp4_r32-qwen-image-edit-lightningv1.0-4steps.safetensors`](./svdq-fp4_r32-qwen-image-edit-lightningv1.0-4steps.safetensors): SVDQuant NVFP4 (rank 32) 4-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with Blackwell GPUs (50-series).
-- [`svdq-fp4_r128-qwen-image-edit-lightningv1.0-4steps.safetensors`](./svdq-fp4_r128-qwen-image-edit-lightningv1.0-4steps.safetensors): SVDQuant NVFP4 (rank 128) 4-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-4steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with Blackwell GPUs (50-series).
-- [`svdq-fp4_r32-qwen-image-edit-lightningv1.0-8steps.safetensors`](./svdq-fp4_r32-qwen-image-edit-lightningv1.0-8steps.safetensors): SVDQuant NVFP4 (rank 32) 8-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with Blackwell GPUs (50-series).
-- [`svdq-fp4_r128-qwen-image-edit-lightningv1.0-8steps.safetensors`](./svdq-fp4_r128-qwen-image-edit-lightningv1.0-8steps.safetensors): SVDQuant NVFP4 (rank 128) 8-step Qwen-Image-Edit model by fusing [Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Edit-Lightning-8steps-V1.0-bf16.safetensors) using LoRA strength = 1.0. For users with Blackwell GPUs (50-series).
-### Model Sources
-- **Inference Engine:** [nunchaku](https://github.com/nunchaku-tech/nunchaku)
-- **Quantization Library:** [deepcompressor](https://github.com/nunchaku-tech/deepcompressor)
-- **Paper:** [SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models](http://arxiv.org/abs/2411.05007)
-- **Demo:** [svdquant.mit.edu](https://svdquant.mit.edu)
-## Usage
-- Diffusers Usage: See [qwen-image-edit.py](https://github.com/nunchaku-tech/nunchaku/blob/main/examples/v1/qwen-image-edit.py) and [qwen-image-edit-lightning.py](https://github.com/nunchaku-tech/nunchaku/blob/main/examples/v1/qwen-image-edit-lightning.py). Check this [tutorial](https://nunchaku.tech/docs/nunchaku/usage/qwen-image-edit.html) for more advanced usage.
-- ComfyUI Usage: See [nunchaku-qwen-image-edit.json](https://nunchaku.tech/docs/ComfyUI-nunchaku/workflows/qwenimage.html#nunchaku-qwen-image-edit-json).
-## Performance
-![performance](https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/efficiency.jpg)
-## Citation
-```bibtex
-@inproceedings{
-  li2024svdquant,
-  title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
-  author={Li*, Muyang and Lin*, Yujun and Zhang*, Zhekai and Cai, Tianle and Li, Xiuyu and Guo, Junxian and Xie, Enze and Meng, Chenlin and Zhu, Jun-Yan and Han, Song},
-  booktitle={The Thirteenth International Conference on Learning Representations},
-  year={2025}
-}
-```