Vidu

Vidu, backed by Tsinghua University research and a research team with genuine diffusion-transformer credentials, has carved out a competitive spot in the crowded AI video generation field. Its reference-to-video feature, which uses up to seven images to keep characters and subjects consistent across a generation, is a real practical advantage for creators who need continuity across shots or episodes, an area where many competing video models still struggle. Text-to-video, image-to-video with first/last-frame control, synchronized sound effects, and companion image generation round out a fairly complete creative toolkit, and the platform is particularly well regarded for anime-style output, giving it a clear identity rather than trying to be all things to all users. 1080p output with 8-second base clips (extendable) is respectable, if not class-leading against the highest-end Western models, and generation speed is a genuine strength thanks to the TurboDiffusion acceleration work. The free tier with off-peak unlimited generation and paid plans starting around $10/month make it one of the more accessible options in the category, backed by web, mobile, and API access for developers wanting to build on top of it.