Our mission is to advance generative
AI by creating open models
and research that expand creative possibilities and accelerate scientific progress
We are a team of researchers, engineers,
and analysts developing open models
for image and video generation. We share research, code, and models with the
AI community.
1.3B / 12B parameters — text‑to‑image generation at 256×256 resolution. Autoregressive approach, trained on Russian‑language data
2B / 3.3B parameters — diffusion‑based generation. Supports 101 languages. Enables inpainting, outpainting, and image editing at resolution up to 768×768
4.8B parameters — generates photorealistic images at 1024×1024 resolution. Supports ControlNet for precise editing and 4‑second video clips
11.9B parameters — high‑fidelity image generation with improved text alignment
17.5B parameters — generates 8‑second videos from text. Uses keyframe interpolation at 512×512 resolution
Flash (11.9B) generates images in just 4 steps — 10× faster than standard diffusion. 3.1 (15.5B) uses Flash as a refiner to boost quality and adds cultural awareness for Russian‑language prompts
17.5B parameters — generates 5.5‑second videos, trained on 4.6M text‑video pairs with captions generated by LLaVA‑1.5
17.5B parameters — generates images and 12‑second videos from text, with audio generation conditioned on video input
14B parameters — refined image generation with improved aesthetics, guided by expert artist feedback
6B / 2B / 19B parameters — new family based on Flow Matching. Image Lite (6B) for HD generation and editing, Video Lite (2B) ranked #1 among open‑source models in its class, and Video Pro (19B) for HD video with strong text and Russian‑concept understanding
The current flagship: a Mixture‑of‑Experts image model, twice as fast as its predecessor, with free professional‑grade editing built in
A research team of engineers, scientists and analysts — presenting at ICML, ICLR, AAAI and OpenTalks.AI, and shipping open models in between
Open positions across research, engineering and applied ML — we’re always glad to hear from people who want to build generative models in the open