HunyuanVideo-1.5 is a video generation foundation model and text-to-video diffusion framework. It utilizes a latent video diffusion model and a spatio-temporal transformer architecture to generate high-definition video sequences from text descriptions and images.
The project enables cinematic camera control for directing pans and tilts and provides image-to-video animation capabilities. It supports visual style adaptation through low-rank adaptation tuning and uses a language model for prompt refinement to improve visual alignment.
The model covers high-resolution video upscaling via a super-resolution network, in-video text rendering, and the manipulation of lighting and mood. It also includes inference acceleration through step distillation to reduce generation time.
