---
language:
- ru
- en
pipeline_tag: text-to-image
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/ru-dalle"

---
# ruDALL-E Malevich (XL)
## Generate images from text

<img style="text-align:center; display:block;" src="https://huggingface.co/sberbank-ai/rudalle-Malevich/resolve/main/dalle-malevich.jpg" width="200">
"Avocado painting in the style of Malevich"

* [Technical Report (Russian)](https://habr.com/ru/company/sberbank/blog/586926)
* [Demo](https://rudalle.ru)

Model was trained by [Sber AI](https://github.com/sberbank-ai) and [SberDevices](https://sberdevices.ru/) teams.  
* Task: `text2image generation`
* Type: `encoder-decoder`
* Num Parameters: `1.3 B`
* Training Data Volume: `120 million text-image pairs`

### Model Description
This is a 1.3 billion parameter model for Russian, recreating OpenAI's [DALL·E](https://openai.com/blog/dall-e/), a model capable of generating arbitrary images from a text prompt that describes the desired result. 

The generation pipeline includes ruDALL-E, ruCLIP for ranging results, and a superresolution model. 
You can use automatic translation into Russian to create desired images with ruDALL-E.

### How to Use
The easiest way to get familiar with the code and the models is to follow the inference notebook we provide in our [github repo](https://huggingface.co/sberbank-ai/rudalle-Malevich).