A New Year gift from Qwen: Qwen-Image-2512 is here (github.com)

Qwen has unveiled its latest advancement, Qwen-Image-2512, a 20B MMDiT image foundation model that significantly enhances complex text rendering and precise image editing capabilities. This model excels particularly in text rendering performance, especially for Chinese text, and boasts improvements in generating more realistic human representations, natural textures, and overall image quality. The December upgrade offers refined aesthetics, including better facial details and superior text layout accuracy. This release is particularly noteworthy for the AI/ML community as it represents a step forward in generative image models, setting new benchmarks for text-to-image (T2I) tasks under real-world complexities. Furthermore, Qwen-Image-2512 supports rapid image editing across various hardware through optimizations that achieve a 25x reduction in diffusion model inference through techniques like diffusion distillation. Integrating advanced features such as multi-GPU support and a prompt enhancement tool, Qwen-Image-2512 aims to streamline both the image generation and editing processes, catering to developers and artists looking for high fidelity and efficiency in visual content creation.