Kandinsky 2.2

Kandinsky 2.2 is a cutting-edge open-source AI image model that has made significant strides in the field of AI image generation. It is a multilingual text-to-image latent diffusion model that has been developed with a permissive license, making it accessible and usable for a wide range of applications. This model is a substantial improvement over its predecessor, Kandinsky 2.1, and has been lauded for its ability to generate more aesthetic pictures and better understand text.

The technical architecture of Kandinsky 2.2 is robust and innovative. It introduces a new, more powerful image encoder - CLIP-ViT-G and the ControlNet support. The switch to CLIP-ViT-G as the image encoder significantly enhances the model's capability to generate more aesthetic pictures and better understand text. The addition of the ControlNet mechanism allows the model to effectively control the process of generating images, leading to more accurate and visually appealing outputs. The architecture details include a Text encoder (XLM-Roberta-Large-Vit-L-14) with 560M parameters, a Diffusion Image Prior with 1B parameters, a CLIP image encoder (ViT-bigG-14-laion2B-39B-b160k) with 1.8B parameters, a Latent Diffusion U-Net with 1.22B parameters, and a MoVQ encoder/decoder with 67M parameters.

Kandinsky 2.2 offers several advantages over other AI image models. It can generate more aesthetic and visually appealing images, thanks to its powerful image encoder. It also has a better understanding of text, which enhances its overall performance. The model's ControlNet mechanism allows for effective control of the image generation process, leading to more accurate outputs. Furthermore, it opens new possibilities for text-guided image manipulation.

Kandinsky 2.2 use cases

  1. Text-to-Image Generation: Kandinsky 2.2 can generate high-quality images from text descriptions, making it useful in various fields like advertising, art, and more.

  2. Image Fusion: The model can blend multiple images and text inputs into a single coherent output.

  3. Multilingual Support: As a multilingual model, Kandinsky 2.2 can generate images from text descriptions in multiple languages, making it globally applicable.

Kandinsky 2.2 License

Kandinsky 2.2 is licensed under the Apache License 2.0, a permissive license whose main conditions require preservation of copyright and license notices. Contributors provide an express grant of patent rights. Licensed works, modifications, and larger works may be distributed under different terms and without source code. The permissions granted by this license include commercial use, modification, distribution, patent use, and private use. However, it does have some limitations, such as on trademark use, liability, and warranty. The conditions of the license require license and copyright notice and state changes.