AvatarFX by Character.AI introduces advanced video generation capabilities, enabling users to create photorealistic videos with expressive movements and audio from pre-existing images. The technology employs flow-based diffusion models and a sophisticated data pipeline to achieve high-quality, diverse video outputs while prioritizing safety measures against misuse. CAI+ subscribers will get early access to these features as they are integrated into the Character.AI platform.

HuMo showcases a series of video generation methods that create high-quality, text-aligned, and subject-consistent videos from text, images, and audio prompts. The article includes detailed descriptions of various scenes depicted in the demo videos, highlighting the capabilities of the technology in producing immersive visual content.

Wan2.2 is a significant upgrade to large-scale video generative models, introducing innovations like an effective Mixture-of-Experts architecture, cinematic-level aesthetics, and enhanced motion generation capabilities. The model supports both text-to-video and image-to-video generation at high definitions and is optimized for efficiency, making it accessible for both academic and industrial applications. Various tools and integrations are provided for users to implement these models effectively.

Google has announced the global rollout of its new Veo 3 video generation model, which enhances the capabilities of creating video content using advanced AI technology. This model aims to improve user experience by automating video production and providing more creative tools for content creators.

Midjourney has launched its new V1 video generation model, capable of producing videos up to 21 seconds long. This model allows users to animate AI-generated images and customize the video length and style, competing with other models like Google’s Veo 3 and OpenAI’s Sora. V1 is part of Midjourney's broader strategy to develop interactive 3D simulations by creating a foundation of moving visuals.