Qwen Image model is an image generation foundation model (Visual GenAI model) in the Qwen series, achieving significant advances in complex text rendering and precise image editing.
NVIDIA Qwen Image Container Overview
Description:
This container houses the Qwen Image model, which is an image generation foundation model (Visual GenAI model) in the Qwen series, achieving significant advances in complex text rendering (supporting alphabetic languages like English and logographic languages like Chinese) and precise image editing (e.g., style transfer, object addition/removal, pose manipulation).
The container components are ready for commercial/non-commercial use.
License/Terms of Use:
Governing Download Terms: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of this model is governed by the NVIDIA Open Model License. Additional Information: Apache 2.0 license.
Deployment Geography:
Global
Release Date:
HuggingFace/Modelscope: 08/04/2025 via https://huggingface.co/Qwen/Qwen-Image and https://modelscope.cn/models/Qwen/Qwen-Image
Build.Nvidia.com: 02/15/2026 via https://build.nvidia.com/Qwen/Qwen-Image
NVIDIA Qwen Image:
The NVIDIA Qwen Image NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Qwen Image https://build.nvidia.com/nvidia/qwen-image | Performs image generation for complex text rendering and precise image editing. | Automatic |
Deployment Details:
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Visit the NVIDIA NIM for Visual GenAIs page for release documentation, deployment guides and more.
Reference(s):
Technical Report Publication: 08/04/2025 via arXiv:2508.02324
Container Version(s):
nvcr.io/nim/qwen/qwen-image:0.5.6.patch7
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.
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