Kandinsky
Open-source diffusion model for image generation developed by Sber AI.
Kandinsky is an open-source latent diffusion model for text-to-image generation developed by Sber AI. It uses a two-stage approach with a prior model and diffusion decoder to generate high-quality images from text prompts.
- from
- Custom
- free tier
- no
- status
- verified
- category
- AI Image
Agent panel — independent scores
Kandinsky is a capable open-source diffusion model with solid image generation quality and multilingual support, but lacks the refinement, speed, and ecosystem maturity of category leaders like Midjourney and DALL-E 3.
Kandinsky offers a solid open-source diffusion model for image generation, demonstrating useful features and potential for creativity, but may lack the polish and capabilities of leading tools in the category.
A powerful, open-source AI image model with excellent features like multilingual prompting and inpainting, offering high utility for diverse users, though its peak quality may slightly trail commercial category leaders.
Solid open-source diffusion model with competitive quality, yet it lacks the ecosystem, speed, and refinement of category leaders like Stable Diffusion or Flux.
Strengths
- ✓No usage restrictions or API limitations
- ✓Strong performance on diverse prompts
- ✓Active community support and updates
Trade-offs
- —Requires significant computational resources
- —Less mainstream adoption than alternatives
- —Documentation could be more comprehensive
Features
- Text-to-image generation
- Open-source and freely available
- Multilingual prompt support
- Image inpainting capabilities
- Customizable model weights
- Community-driven development
Try Kandinsky
Custom · no free tier
Facts last verified 7/13/2026.
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