Qwen Image

Qwen Image is a multimodal foundation model series developed by Alibaba's Qwen team, specifically engineered for high-fidelity text-to-image generation and advanced image editing. Built on a Multimodal Diffusion Transformer (MMDiT) architecture, the model is notable for its performance in rendering bilingual text (Chinese and English) and maintaining complex structural layouts. This capability allows for the creation of intricate visual content such as infographics, movie posters, and professional documentation where typography and spatial alignment are critical.

The model family features a unified pipeline for both generation and editing tasks, enabling precise modifications like object substitution, style transfer, and background removal while preserving semantic integrity across iterations. While the original flagship model contains 20 billion parameters, later versions like Qwen Image 2.0 (released in February 2026) have optimized the architecture to a 7 billion parameter scale, introducing native 2K resolution (2048x2048) and improved texture fidelity for realistic scenes.

Trained on a massive dataset of 5.6 billion text-image pairs, Qwen Image excels at following long, descriptive prompts of up to 1,000 tokens. It is capable of professional typography rendering, adapting text to various surfaces with correct perspective and lighting. The model and its variants are generally released under the Apache 2.0 license, supporting broad open-source and commercial use.