---
license: mit
pipeline_tag: text-to-image
library_name: diffusers
---
# Kandinsky 5.0 T2I Lite
This repository contains the Kandinsky 5.0 Text-to-Image Lite model, part of the Kandinsky 5.0 family of foundation models for image and video generation, introduced in the paper [Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation](https://huggingface.co/papers/2511.14993).
* **Project Page**: https://kandinskylab.ai/
* **GitHub Repository**: https://github.com/kandinskylab/kandinsky-5
* **Diffusers documentation**: https://huggingface.co/docs/diffusers/main/en/api/pipelines/kandinsky5
## Model Capabilities
Kandinsky 5.0 Image Lite is a line-up of 6B image generation models with the following capabilities:
* 1K resolution (1280x768, 1024x1024 and others).
* High visual quality
* Strong text-writing
* Russian concepts understanding
## Examples
## How to use
You can use this model for text-to-image generation with the `kandinsky` library, which integrates with Hugging Face `diffusers`.
```python
import torch
from kandinsky import get_T2I_pipeline
device_map = {
"dit": torch.device('cuda:0'),
"vae": torch.device('cuda:0'),
"text_embedder": torch.device('cuda:0')
}
pipe = get_T2I_pipeline(device_map, conf_path="configs/k5_lite_t2i_sft_hd.yaml")
images = pipe(
seed=42,
save_path='./test.png',
text="A cat in a red hat with a label 'HELLO'"
)
```
## Citation
If you find our work helpful, please cite our paper:
```bibtex
@misc{arkhipkin2025kandinsky50familyfoundation,
title={Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation},
author={Vladimir Arkhipkin and Vladimir Korviakov and Nikolai Gerasimenko and Denis Parkhomenko and Viacheslav Vasilev and Alexey Letunovskiy and Nikolai Vaulin and Maria Kovaleva and Ivan Kirillov and Lev Novitskiy and Denis Koposov and Nikita Kiselev and Alexander Varlamov and Dmitrii Mikhailov and Vladimir Polovnikov and Andrey Shutkin and Julia Agafonova and Ilya Vasiliev and Anastasiia Kargapoltseva and Anna Dmitrienko and Anastasia Maltseva and Anna Averchenkova and Olga Kim and Tatiana Nikulina and Denis Dimitrov},
year={2025},
eprint={2511.14993},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2511.14993},
}
```