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MODEL Listed

Qwen Image Edit 2511 Lightning

Qwen Image Edit 2511 Lightning is a specialized image-to-image model designed for high-speed visual manipulation and refinement. Unlike general-purpose diffusion models, this iteration prioritizes low-latency inference, making it suitable for real-time applications or iterative design workflows where rapid prototyping is essential. Developers can integrate it into pipelines requiring precise local edits, style transfers, or attribute modifications without the computational overhead of larger frameworks. Operating under the Apache-2.0 license, it offers significant flexibility for commercial deployment and customization. It bridges the gap between high-fidelity image generation and the operational efficiency needed for production-grade AI tools.

lightx2vimage-to-image
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01 / MODEL CARD

Model card

Qwen Image Edit 2511 Lightning is a specialized image-to-image model designed for high-speed visual manipulation and refinement. Unlike general-purpose diffusion models, this iteration prioritizes low-latency inference, making it suitable for real-time applications or iterative design workflows where rapid prototyping is essential. Developers can integrate it into pipelines requiring precise local edits, style transfers, or attribute modifications without the computational overhead of larger frameworks. Operating under the Apache-2.0 license, it offers significant flexibility for commercial deployment and customization. It bridges the gap between high-fidelity image generation and the operational efficiency needed for production-grade AI tools.

Model typeimage-to-image
Providerlightx2v
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: lightx2v/Qwen-Image-Edit-2511-Lightning
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model lightx2v/Qwen-Image-Edit-2511-Lightning
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model lightx2v/Qwen-Image-Edit-2511-Lightning README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('lightx2v/Qwen-Image-Edit-2511-Lightning')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/lightx2v/Qwen-Image-Edit-2511-Lightning.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/lightx2v/Qwen-Image-Edit-2511-Lightning.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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