xAI officially released the preview version of Grok Imagine Video 1.5, further expanding its generative AI product lineup and entering the increasingly competitive AI video generation market. This model can directly convert a single static image into a short video and supports output up to 720p resolution.

According to xAI, users only need to upload an image and describe the camera movement, visual rhythm, and overall atmosphere through text prompts. Grok Imagine Video 1.5 can generate natural and smooth dynamic effects for the scene while preserving the original image details, lighting effects, and style characteristics. The model also supports multi-shot scene transitions, allowing multiple clips to be stitched into a long video while maintaining consistent visual style and character appearance.

Currently, Grok Imagine Video 1.5 is available via the xAI API for preview. Developers can integrate and call it with just a few lines of code. This means that xAI is accelerating the opening of video generation capabilities to the developer ecosystem, further expanding its AI platform's influence.

With the release of this product, xAI has officially entered the AI video generation market, directly competing with products such as Google's Veo and Seedance. Currently, video generation has become a key area of competition among large model manufacturers, with companies focusing on image quality, duration, coherence, and controllability in technological competitions.

Notably, OpenAI has recently adjusted the development plan for Sora. According to reports, OpenAI has withdrawn some deployment of Sora video models due to limitations in computing resources and an immature commercialization model. In this context, xAI's decision to accelerate the launch of video generation products demonstrates its strategic intent to compete for market share in the multimodal AI field.

According to a report by AIbase, with the release of Grok Imagine Video 1.5, xAI is extending beyond chatbots and large model competition into the field of video content generation. In the future, the focus of competition in the AI video generation market may shift from pure video quality to creation efficiency, developer ecosystem, and commercial application capabilities.