Qwen-Image is a text-to-image generation model from the Qwen team at Alibaba. It uses a diffusion-based approach and is compatible with the Hugging Face Diffusers library. The model supports both English and Chinese prompts and can generate detailed images based on textual descriptions.
In the Image generation space, Qwen Image takes a focused approach. It focuses on generating high-quality images from natural language text descriptions. Qwen Image is an open-source project aimed at developers and creators needing image generation capabilities. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Qwen builds and maintains Qwen Image, and it first shipped in 2025. The project is developed in the open on GitHub with 8.1k stars. It operates in a well-populated space: PulseGate tracks 18 similar projects. Key capabilities include Text-to-Image Generation, Diffusers Support, and High Resolution Output. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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