Kandinsky LabKandinsky 3

Kandinsky 3.0

Kandinsky 3.0 expanded its text understanding and image generator. The training data also gave attention to Russian cultural subjects.

The total pipeline is larger than its image generator

The published architecture also includes a 267M MoVQ encoder/decoder. The text encoder and image autoencoder serve different roles from the diffusion U-Net.ai-forever/Kandinsky3.0 — model card and files

Later packages include the base and new trained components

The 3.1 repository packages the base generator, Flash and updated inpainting weights. Flash's use as a refiner is an inference role of that trained checkpoint.Kandinsky 3: base, Flash and inpainting releases

Specifications & access

Kandinsky 3.0 specifications
DetailValue and conditions
AccessDownloadable
Model identifiersai-forever/Kandinsky3.0ai-forever/kandinsky3-diffuserskandinsky-community/kandinsky-3
Diffusion U-Net3B parametersai-forever/Kandinsky3.0 — model card and files
Text encoderFlan-UL2 encoder, 8.6B parametersai-forever/Kandinsky3.0 — model card and files
Weight licenseApache 2.0ai-forever/Kandinsky3.0 — model card and files

Related models

  • A distilled four-step Kandinsky 3 image model also used as the 3.1 release's refiner.

    Launch date not confirmedDownloadable