metadata
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
"Avocado painting in the style of Malevich"
Model was trained by Sber AI and SberDevices 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, 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.