Search AI Products and News

Shanghai Step Star Intelligent Technology Co., Ltd. has announced the open-source release of its latest text-to-video model, Step-Video-TI2V. Trained on a 30B parameter Step-Video-T2V model, it generates 102-frame, 5-second videos at 540P resolution. Key features include controllable motion amplitude and camera movement, performing particularly well in generating anime-style videos.

Recently, the Modelers community officially launched Step-Video and Step-Audio, two open-source multimodal large models developed by Step-Star. These models are designed for video generation and voice interaction, respectively, aiming to provide developers and enterprise users with more powerful AI tools. Step-Video, formally known as Step-Video-T2V, is a 30-billion parameter model, making it the world's largest open-source video generation model. This model can directly generate 20...

Today, Step-Chronicles and Geely Automobile Group announced the joint open-source of two models from the Step series of multimodal large models: the Step-Video-T2V video generation model and the Step-Audio voice model. Among them, the Step-Video-T2V video generation model is globally ahead in both parameter count and performance. This model has 30 billion parameters and can directly generate high-quality videos at 540P resolution with 204 frames, ensuring high information density and strong consistency in the generated content. Evaluation results show that

On January 22, 2025, Shanghai Step-Video Intelligent Technology Co., Ltd. announced the official upgrade of its video generation model Step-Video to version V2. This upgrade brings significant technological breakthroughs and enhancements, making it even more powerful in simulating the real world.

Leap Star announces that the video generation model Step-Video is now in internal testing, and users can apply for testing qualifications on the Yuewen Video official website. The Step-Video model currently supports generating videos from text (text-to-video), capable of producing high-definition videos up to 1080P resolution and lasting up to 10 seconds. It takes an average of 2.5 minutes to complete a video, but it demonstrates significant advantages in automatic optimization of prompts, aesthetic style performance, and motion control.