Instructions to use tsqn/Z-Image-Turbo_fp8_comfyui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use tsqn/Z-Image-Turbo_fp8_comfyui with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
language:
- en
tags:
- text-to-image
- comfyui
- diffusion-single-file
- safetensors
- quantization
- quant
- fp8
base_model:
- Tongyi-MAI/Z-Image-Turbo
- tsqn/Z-Image-Turbo_fp32-fp16-bf16_comfyui
base_model_relation: quantized
pipeline_tag: text-to-image
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}
}