HunyuanVideo-I2V is an open-source AI video generation model developed by Tencent, designed for image-to-video tasks. It offers two versions: a 14-billion-parameter professional model that excels in generating complex motions and simulating physical dynamics, and a 1.3-billion-parameter lite version optimized for consumer-grade GPUs, requiring only 8.2GB of VRAM, making it suitable for secondary development and academic research.
Built upon a causal 3D Variational Autoencoder (VAE) and Video Diffusion Transformer architecture, HunyuanVideo-I2V efficiently models spatiotemporal dependencies. In the authoritative VBench evaluation, the 14B version achieved a leading score of 86.22%, surpassing models like Sora, Luma, and Pika, and securing the top position. The model is available on Wavespeed AI, providing convenient access for developers.
Built upon a causal 3D Variational Autoencoder (VAE) and Video Diffusion Transformer architecture, HunyuanVideo-I2V efficiently models spatiotemporal dependencies. In the authoritative VBench evaluation, the 14B version achieved a leading score of 86.22%, surpassing models like Sora, Luma, and Pika, and securing the top position. The model is available on Wavespeed AI, providing convenient access for developers.