---
license: apache-2.0
tags:
- Kandinsky
- text-image
- text2image
- diffusion
- latent diffusion
- mCLIP-XLMR
- mT5
---

# Kandinsky 2.0
Kandinsky 2.0 - the first multilingual latent diffusion text2image model.
*UNet size: 1.2B parameters*

<img src="https://github.com/ai-forever/NATALLE/blob/main/content/NatallE.png" width=100% border="2"/>

It is a latent diffusion model with two multi-lingual text encoders:
* mCLIP-XLMR (344M parameters)
* mT5-small (300M parameters)


These encoders and multilingual training datasets unveil the real multilingual text2image generation experience!


# Authors

+ Arseniy Shakhmatov: [Github](https://github.com/cene555), [Blog](https://t.me/gradientdip)
+ Anton Razzhigaev: [Github](https://github.com/razzant), [Blog](https://t.me/abstractDL)
+ Aleksandr Nikolich: [Github](https://github.com/AlexWortega), [Blog](https://t.me/lovedeathtransformers)
+ Vladimir Arkhipkin: [Github](https://github.com/oriBetelgeuse)
+ Igor Pavlov: [Github](https://github.com/boomb0om)
+ Andrey Kuznetsov: [Github](https://github.com/kuznetsoffandrey)
+ Denis Dimitrov: [Github](https://github.com/denndimitrov)