Model card
Qwen Image is a high-performance text-to-image model designed for developers who need a balance of visual fidelity and deployment flexibility. Built on an Apache-2.0 license, it allows for seamless integration into commercial pipelines without restrictive licensing hurdles. The model excels at translating complex natural language prompts into precise imagery, making it suitable for automated content generation, UI prototyping, and asset creation. Compared to closed-source alternatives, Qwen Image provides a transparent framework for scaling generative art workflows, offering a robust API-driven approach to integrating AI-driven visuals into existing software ecosystems.
Model files and versions
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.
Qwen/Qwen-ImageInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model Qwen/Qwen-ImageREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model Qwen/Qwen-Image README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('Qwen/Qwen-Image')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/Qwen/Qwen-Image.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/Qwen/Qwen-Image.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
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