Total runs:
520
Run Growth:
21
Growth Rate:
4.04%
Sponsored by
APIMart
chaitnya26 / qwen-image-edit-2509-fork
Model's Last Updated: October 05 2025
text-to-image
Introduction of qwen-image-edit-2509-fork
Model Details of qwen-image-edit-2509-fork
Model Card for nunchaku-qwen-image-edit-2509
This repository contains Nunchaku-quantized versions of
Qwen-Image-Edit-2509
, an image-editing model based on
Qwen-Image
, advances in complex text rendering. It is optimized for efficient inference while maintaining minimal loss in performance.
News
- [2025-09-25] 🔥 Release 4-bit 4/8-step lightning Qwen-Image-Edit !
- [2025-09-24] 🚀 Release 4-bit SVDQuant quantized Qwen-Image-Edit-2509 model with rank 32 and 128!
Model Details
Model Description
- Developed by: Nunchaku Team
- Model type: image-to-image
- License: apache-2.0
- Quantized from model: Qwen-Image-Edit-2509
Model Files
-
svdq-int4_r32-qwen-image-edit-2509.safetensors: SVDQuant INT4 (rank 32) Qwen-Image-Edit-2509 model. For users with non-Blackwell GPUs (pre-50-series). -
svdq-int4_r128-qwen-image-edit-2509.safetensors: SVDQuant INT4 (rank 128) Qwen-Image-Edit-2509 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-2509-lightningv2.0-4steps.safetensors: SVDQuant INT4 (rank 32) 4-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series). -
svdq-int4_r128-qwen-image-edit-2509-lightning: SVDQuant INT4 (rank 128) 4-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series). -
svdq-int4_r32-qwen-image-edit-2509-lightningv2.0-8steps.safetensors: SVDQuant INT4 (rank 32) 8-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series). -
svdq-int4_r128-qwen-image-edit-2509-lightningv2.0-8steps.safetensors: SVDQuant INT4 (rank 128) 8-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with non-Blackwell GPUs (pre-50-series). -
svdq-fp4_r32-qwen-image-edit-2509.safetensors: SVDQuant NVFP4 (rank 32) Qwen-Image-Edit-2509 model. For users with Blackwell GPUs (50-series). -
svdq-fp4_r128-qwen-image-edit-2509.safetensors: SVDQuant NVFP4 (rank 128) Qwen-Image-Edit-2509 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-2509-lightningv2.0-4steps.safetensors: SVDQuant NVFP4 (rank 32) 4-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with Blackwell GPUs (50-series). -
svdq-fp4_r128-qwen-image-edit-2509-lightningv2.0-4steps.safetensors: SVDQuant NVFP4 (rank 128) 4-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with Blackwell GPUs (50-series). -
svdq-fp4_r32-qwen-image-edit-2509-lightningv2.0-8steps.safetensors: SVDQuant NVFP4 (rank 32) 8-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with Blackwell GPUs (50-series). -
svdq-fp4_r128-qwen-image-edit-2509-lightningv2.0-8steps.safetensors: SVDQuant NVFP4 (rank 128) 8-step Qwen-Image-Edit-2509 model by fusing Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors using LoRA strength = 1.0. For users with Blackwell GPUs (50-series).
Model Sources
- Inference Engine: nunchaku
- Quantization Library: deepcompressor
- Paper: SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
- Demo: svdquant.mit.edu
Usage
- Diffusers Usage: See qwen-image-edit-2509.py . Check this tutorial for more advanced usage.
- ComfyUI Usage: See nunchaku-qwen-image-edit-2509.json .
Performance
Citation
@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}
}
Runs of chaitnya26 qwen-image-edit-2509-fork on huggingface.co
472
Total runs
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24-hour runs
-22
3-day runs
-1
7-day runs
96
30-day runs
More Information About qwen-image-edit-2509-fork huggingface.co Model
Url of qwen-image-edit-2509-fork
qwen-image-edit-2509-fork huggingface.co Url
Provider of qwen-image-edit-2509-fork huggingface.co
Other API from chaitnya26
Updated:August 26 2025
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