Z Image Turbo

--- license: apache-2.0 language: - en pipeline_tag: text-to-image library_name: diffusers --- <h1 align="center">⚡️- Image<br>_{^{An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer}}</h1> <div align="center"> [](https://tongyi-mai.github.io/Z-Image-blog/)&#160; [](https://github.com/Tongyi-MAI/Z-Image)&#160; [](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)&#160; [](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo)&#160; [](https://huggingface.co/spaces/akhaliq/Z-Image-Turbo)&#160; [](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo)&#160; [](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%3A%2F%2FTongyi-MAI%2FZ-Image-Turbo%3Frevision%3Dmaster)&#160; [](assets/Z-Image-Gallery.pdf)&#160; [](https://modelscope.cn/studios/Tongyi-MAI/Z-Image-Gallery/summary)&#160; <a href="https://arxiv.org/abs/2511.22699" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a> Welcome to the official repository for the Z-Image（造相）project! </div> ## ✨ Z-Image Z-Image is a powerful and highly efficient image generation model family with **6B** parameters. Currently there are four variants: - 🚀 **Z-Image-Turbo** – A distilled version of Z-Image that matches or exceeds leading competitors with only **8 NFEs** (Number of Function Evaluations). It offers **⚡️sub-second inference latency⚡️** on enterprise-grade H800 GPUs and fits comfortably within **16G VRAM consumer...