Kandinsky-2
Multilingual text-to-image generation model
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Kandinsky-2?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official docs lack examples and explanations for fine-tuning models or customizing generation parameters beyond basic usage
High memory consumption and long processing times when generating multiple high-resolution images simultaneously
Fit analysis
Who is it for?
✓ Best for
Developers building multilingual content generation systems who need high-quality image synthesis from text descriptions
Researchers studying cross-lingual image generation and diffusion models
✕ Not a fit for
Projects requiring real-time, low-latency image generation due to the computational demands of the model
Applications that require a wide variety of specialized image styles beyond what Kandinsky-2 can generate
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Kandinsky-2
Step-by-step setup guide with code examples and common gotchas.