UniCalli_Dev / README.md
Txu647's picture
Add NF4 4-bit inference with bitsandbytes
414150e

A newer version of the Gradio SDK is available: 6.9.0

Upgrade
metadata
title: UniCalli
emoji: 🖌️
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.44.0
app_file: app.py
pinned: false
license: cc-by-nc-nd-4.0
short_description: Chinese Calligraphy Generator

🖌️ UniCalli-Dev - Chinese Calligraphy Generator

A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy

Links

Features

  • 1-7 Chinese Characters: Supports generating 1 to 7 Chinese characters in a column
  • Historical Masters: 90+ calligraphers including 王羲之, 颜真卿, 赵佶/宋徽宗, etc.
  • Multiple Font Styles: 楷 (Regular), 行 (Running), 草 (Cursive)
  • Interactive Session: Generate multiple images in one GPU session
  • 4-bit Quantization: Runtime quantization for efficient inference on limited GPU memory

Usage

  1. Enter 1-7 Chinese characters
  2. Select a calligrapher (or use synthetic style)
  3. Choose a font style
  4. Click "Start Generation"

Citation

If you find UniCalli useful in your research, please cite our paper:

@article{xu2025unicalli,
  title={UniCalli: A Unified Diffusion Framework for Column-Level
         Generation and Recognition of Chinese Calligraphy},
  author={Xu, Tianshuo and Wang, Kai and Chen, Zhifei and Wu, Leyi
          and Wen, Tianshui and Chao, Fei and Chen, Ying-Cong},
  journal={arXiv preprint arXiv:2510.13745},
  year={2025}
}