README.md

---
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**

![NatallE.png](https://s3.amazonaws.com/moonup/production/uploads/1669132577749-5f91b1208a61a359f44e1851.png)

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!

![header.png](https://s3.amazonaws.com/moonup/production/uploads/1669132825912-5f91b1208a61a359f44e1851.png)

# 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)
+ 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)