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README.md

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 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)
+
+
+