Qwen-Image-2512 is the December update of Qwen-Image's text-to-image foundational model, designed to generate images from text descriptions with significantly improved quality and realism. This open-source model builds upon the base version released in August with substantial enhancements across multiple dimensions of image generation.

The model features enhanced human realism that significantly reduces the "AI-generated" look and substantially enhances overall image realism, especially for human subjects. It delivers finer natural detail with notably more detailed rendering of landscapes, animal fur, and other natural elements. The update also includes improved text rendering that enhances accuracy and quality of textual elements, achieving better layout and more faithful multimodal (text + image) composition.

Qwen-Image-2512 achieves its improvements through advanced training methodologies that build upon the original Qwen-Image architecture. The model underwent extensive evaluation with over 10,000 rounds of blind model evaluations on AI Arena, demonstrating superior performance compared to previous versions and competitive results against closed-source alternatives.

The primary benefits include dramatically improved photorealism for human subjects, enhanced detail rendering for natural scenes and objects, and superior text integration capabilities. Use cases span realistic portrait generation, landscape and nature imagery creation, educational and presentation material development, and complex infographic generation with accurate text placement.

The model targets developers, researchers, and creators working with AI image generation who require open-source solutions with state-of-the-art performance. It integrates with Qwen Chat platform and is available through multiple distribution channels including GitHub, Hugging Face, and ModelScope for various deployment scenarios.