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It uses a specialized VAE for video generation, achieving 16x16 spatial and 8x temporal compression. This allows for high-quality video reconstruction while accelerating training and inference.

The model is built on a massive, 30-billion parameter architecture designed for deep understanding of text prompts and visual generation. v 4mp4

According to Neurohive, deploying or training this model requires substantial resources: Operating System: Linux Language & Library: Python 3.10.0+ and PyTorch 2.3-cu121 Dependencies: CUDA Toolkit and FFmpeg. It uses a specialized VAE for video generation,

Capable of generating 204-frame videos (roughly 6-7 seconds at 30 fps) with realistic textures and motion. v 4mp4