File size: 1,374 Bytes
42dabc6 c76e5c2 e1a93ce 42dabc6 034e64c 44e85c0 6c9a447 42dabc6 034e64c 42dabc6 c76e5c2 42dabc6 25833cc 42dabc6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
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://github.com/sberbank-ai/ru-dalle).
|