Kandinsky 5.0 Video Pro is a state-of-the-art text-to-video foundation model developed by Sber AI as the high-end variant of the Kandinsky 5.0 family. Designed for professional-grade video synthesis, it produces high-resolution clips with significant improvements in temporal consistency and physical realism. The model natively supports bilingual prompts in both English and Russian and excels in interpreting complex cultural contexts.
Architecture and Innovation
The model's architecture centers on the flow matching paradigm, utilizing a Cross-Attention Diffusion Transformer (CrossDiT) backbone. This framework replaces traditional diffusion with a continuous latent trajectory, enhancing both training efficiency and synthesis quality. To manage the computational demands of high-resolution video, it incorporates the Neighborhood Adaptive Block-Level Attention (NABLA) mechanism, which reduces quadratic complexity to enable the generation of 10-second clips at HD resolution.
Capabilities and Training
Kandinsky 5.0 Video Pro features a 19-billion parameter visual backbone and utilizes a multi-modal encoding system comprising Qwen2.5-VL and CLIP ViT-L/14 for deep semantic understanding. It is capable of generating videos up to 10 seconds in duration with advanced cinematic camera controls, such as zooming, panning, and rotation. The model was developed through a multi-stage pipeline involving massive-scale pre-training, supervised fine-tuning (SFT), and reinforcement learning (RL) based post-training to maximize aesthetic appeal.