by tsqn
Open source · 4k downloads · 4 likes
Z Image Turbo is an AI model optimized for generating high-quality images from text descriptions, designed to work efficiently with ComfyUI. It supports multiple precision formats (fp32, fp16, and bf16) to strike a balance between performance and visual quality. The model excels at rapidly creating detailed images, making it ideal for artists, designers, or content creators looking to automate their image generation workflow. Its use cases include producing illustrations, concept visuals, or stylized images for various creative projects. What sets it apart is its ability to deliver consistent, detailed results while remaining accessible through a user-friendly interface like ComfyUI.
Workflows: https://comfyanonymous.github.io/ComfyUI_examples/z_image/
@article{team2025zimage,
title={Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer},
author={Z-Image Team},
journal={arXiv preprint arXiv:2511.22699},
year={2025}
}
@article{liu2025decoupled,
title={Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield},
author={Dongyang Liu and Peng Gao and David Liu and Ruoyi Du and Zhen Li and Qilong Wu and Xin Jin and Sihan Cao and Shifeng Zhang and Hongsheng Li and Steven Hoi},
journal={arXiv preprint arXiv:2511.22677},
year={2025}
}
@article{jiang2025distribution,
title={Distribution Matching Distillation Meets Reinforcement Learning},
author={Jiang, Dengyang and Liu, Dongyang and Wang, Zanyi and Wu, Qilong and Jin, Xin and Liu, David and Li, Zhen and Wang, Mengmeng and Gao, Peng and Yang, Harry},
journal={arXiv preprint arXiv:2511.13649},
year={2025}
}