File size: 1,733 Bytes
2d19463 060b7d9 2d19463 060b7d9 3c43f8f 6f34a10 ae3ea2c f742901 5183848 060b7d9 5d023db 060b7d9 cabdd47 44930ab 060b7d9 5183848 060b7d9 9a493bb 0868c1b 9a493bb 060b7d9 877c453 060b7d9 |
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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
license: apache-2.0
tags:
- Kandinsky
- text-image
- text2image
- diffusion
- latent diffusion
- mCLIP-XLMR
- mT5
---
# Kandinsky 2.0
Kandinsky 2.0 — the first multilingual text2image model.
[GitHub repository](https://github.com/ai-forever/Kandinsky-2.0)
**UNet size: 1.2B parameters**
It is a latent diffusion model with two multi-lingual text encoders:
* mCLIP-XLMR (560M parameters)
* mT5-encoder-small (146M parameters)
These encoders and multilingual training datasets unveil the real multilingual text2image generation experience!
# How to use
```python
pip install "git+https://github.com/ai-forever/Kandinsky-2.0.git"
from kandinsky2 import get_kandinsky2
model = get_kandinsky2('cuda', task_type='text2img')
images = model.generate_text2img('кошка в космосе', batch_size=4, h=512, w=512, num_steps=75, denoised_type='dynamic_threshold', dynamic_threshold_v=99.5, sampler='ddim_sampler', ddim_eta=0.01, guidance_scale=10)
```
# 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)
|