HunyuanVideo 1.5 Installation & Review

In a recent video published on November 25, 2025, the YouTube channel AI Search explores HunyuanVideo 1.5, an open-source AI video generator, positing it as a formidable option for those with low VRAM. The presenter begins by showcasing demos that demonstrate the software’s ability to generate videos with smooth motions and aesthetically pleasing outputs. Examples include a figure skater, cinematic shots, and realistic physics-based animations. The video also compares HunyuanVideo 1.5 directly with its predecessor, Wan 2.2, highlighting its strengths in capturing smooth camera movements and accurate prompt responses.

The analysis delves into anatomical accuracy and the software’s capacity to handle complex trajectories. The presenter underscore some areas where HunyuanVideo excels, such as challenging anatomy scenes, but also notes imperfections, including issues in rendering scenes from external sources like parkour or anime characters.

Moreover, the video discusses the technical prowess and efficiency of HunyuanVideo 1.5 over larger models due to its smaller parameter size, which facilitates operation on consumer-grade GPUs. It also touches on high action scenes like parkour and influencer videos, remarking on the perceptible differences in quality when longer videos are attempted. The presenter offers a step-by-step guide to using this tool online and offline through platforms like ComfyUI, explaining how it integrates with various components essential for video generation. Throughout the video, comparisons with the older Wan 2.2 model show a distinct edge in certain capabilities but not without acknowledging areas of near parity.

AI Search provides an honest critical view, noting that while HunyuanVideo 1.5 presents improvements over Wan 2.2, particularly in generating coherent video segments, no single model is declared a winner outright. The video closes by commending HunyuanVideo 1.5’s cost-efficiency, accessibility for balanced workflows in video generation, and its continued development through updates that might better bridge the quality gap in scenarios detailed by users.