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@@ -19,7 +19,7 @@ Kandinsky 2.0 — the first multilingual latent diffusion text2image model.
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  It is a latent diffusion model with two multi-lingual text encoders:
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  * mCLIP-XLMR (560M parameters)
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- * mT5-small (300M parameters)
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  These encoders and multilingual training datasets unveil the real multilingual text2image generation experience!
 
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  It is a latent diffusion model with two multi-lingual text encoders:
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  * mCLIP-XLMR (560M parameters)
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+ * mT5-small (146M parameters)
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  These encoders and multilingual training datasets unveil the real multilingual text2image generation experience!