ai-forever/Kandinsky-2

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2814 stars · 319 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kandinsky 2 is a multilingual text-to-image latent diffusion model library from Sber AI, supporting text2img, img2img, inpainting, outpainting, and ControlNet-depth generation. It ships PyTorch checkpoints on Hugging Face with Jupyter notebook examples and LoRA fine-tuning support.

Use cases

• generate images from text prompts
• multilingual text-to-image generation
• inpaint missing parts of an image
• outpaint to extend an image beyond its borders
• image-to-image transformation guided by text
• control image generation with depth maps via ControlNet
• fine-tune a diffusion model with LoRA

When to choose

• you need a diffusion model that understands non-English prompts
• you want text2img, inpainting, and outpainting in one model family
• you want open Apache-2.0 checkpoints runnable on a single CUDA GPU

When to avoid

• you need the newest image quality from actively developed models like SDXL or Flux
• you have no GPU available
• you need a managed API rather than self-hosted inference

Facets

library · maturity maintenance

image-processing machine-learning deep-learning image-processing artificial-intelligence deep-learning python text-to-image latent-diffusion inpainting outpainting controlnet multilingual stable-diffusion gpu

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