Kandinsky-2

What it is

Kandinsky-2 is a multilingual text-to-image latent diffusion model that generates images from textual descriptions in multiple languages, making it an essential tool for content creators and developers working with diverse linguistic data.

Kandinsky-2 stands out as one of the few multilingual text-to-image models available in open-source, offering high-quality synthesis capabilities across multiple languages.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation for advanced use cases

   Official docs lack examples and explanations for fine-tuning models or customizing generation parameters beyond basic usage

2. 02

   Performance issues with large-scale image generation tasks

   High memory consumption and long processing times when generating multiple high-resolution images simultaneously

What it does well

• Multilingual text-to-image generation

• Latent diffusion model for high-quality image synthesis

• Open-source with Apache-2.0 license

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.