Tang Xiaolou's Disciple Leads: No-Tuning Long Video Generation, Supporting Up to 512 Frames! Usable with Any Diffusion Model | ICLR '24

Pixverse Launches MCP: Unlocking a New Frontier in AI Video Generation

With the rapid advancement of generative AI technology, the video creation field is experiencing a new wave of transformation. Pixverse, a leading platform in AI video generation, recently launched the Model Context Protocol (MCP), providing users and developers with a more efficient and flexible video generation solution. What is MCP? Unlocking new ways to generate AI videos. Pixverse's MCP (Model Context Protocol) is specifically designed for AI video generation...

Jidream Video 3.0 Internal Testing: Smooth Camera Work, Accurate Capture of Facial Expressions

Last night, Jidream launched the internal testing of its Video 3.0 model. The new video model boasts smoother camera work and higher prompt fidelity compared to previous models. Based on the examples provided by the official release, the new model demonstrates improved stability in handling large movements, significantly reducing instances of character distortion. It can easily handle various scenarios, such as a man playing golf, a dog cooking, a boy singing passionately, and a toy hugging a robot. Key highlights of Jidream 3.0 include: 1. Rich cinematic language, ranging from rapid pushes to create suspense, to slow pans to showcase expansive scenes, and more.

Revolutionizing Video Creation! Alibaba's VACE Model Unifies Text, Image, and Video Inputs

Scientists at Alibaba Group have introduced VACE, a universal AI model designed to unify a wide range of video generation and editing tasks. At the heart of VACE is an enhanced Diffusion Transformer architecture, innovating with a novel input format called "Video Conditional Unit" (VCU). VCU distills diverse modalities such as text prompts, reference images or video sequences, and spatial masks into a unified representation, and through a specialized mechanism coordinates different inputs to avoid conflicts. Concept decoupling enables fine-grained control.

MAGI-1, the World's First Autoregressive Video Generation Model, Officially Launched; Swin Transformer Team Leads a New Wave in Video Creation

A powerful new contender has emerged in the field of video generation—MAGI-1. Developed by Sand AI, a startup led by Cao Yue, winner of the Marr Prize and Tsinghua University's Special Award, this autoregressive video generation model is redefining the possibilities of video creation. MAGI-1 generates videos by predicting sequences of video blocks, garnering significant attention for its natural and fluid results and multiple downloadable versions. MAGI-1 boasts superior performance in video generation. Firstly, it delivers a seamless and smooth video experience, capable of generating...

Top 20 AI Video Generation Companies of 2025 Announced: Keling AI, Jimeng AI, and PixVerse AI Take the Lead

Recently, the "Top 20 AI Video Generation Companies of 2025" list, jointly released by DBC, CIW, and CIS, has been officially announced. Keling AI (Kuaishou), PixVerse AI (Aishi Technology), and Jimeng AI (Douyin) occupy the top three positions. In addition, many other companies, including Alibaba (Tongyi Wanxiang, Huiwa AI Video), Tencent (Zhiying), iFlytek (Xunfei Huijing), and MiniMax (Haier AI), are also on the list.

Sand AI Open-Sources MAGI-1 Video Generation Model: Infinite Scalability, High Fidelity

On April 21, 2025, Sand AI open-sourced its video generation model, MAGI-1. With its innovative autoregressive diffusion architecture and exceptional performance, it quickly became a focal point in the generative AI field. Licensed under Apache 2.0, the code, weights, and inference tools are available on GitHub and Hugging Face, providing a powerful creative tool for global developers. MAGI-1 is based on a diffusion transformer architecture, incorporating block causal attention and parallel attention.

Vidu Q1 Officially Launched: Higher Definition, Smoother Frame Rates

Shengshu Technology has officially launched Vidu Q1, a high-performance generative AI video model. Its exceptional visual quality, smooth cinematic transitions, precise sound effects, and enhanced animation style have generated significant industry buzz. According to AIbase, Vidu Q1 surpasses existing competitors in the VBench comprehensive video generation evaluation standard. With comprehensive upgrades across four core functions, it provides creators with a production experience comparable to professional film studios. Project details have been released on the Vidu website and social media platforms, marking a significant advancement in AI video generation technology.

AI Daily: Alibaba's Tongyi Wanxiang First and Last Frame Video Generation Model; Doubao Open-Sources Seed Agent Model UI-TARS-1.5; OpenAI Releases First Intelligent Agent Practice Guide

Moonvalley Secures $43 Million in Series B Funding, Launches Innovative Video Generation Model Marey

In April 2025, Moonvalley, a video generation technology company, announced the successful completion of a $43 million Series B funding round. The round involved 11 unnamed investors, bringing the company's total funding to $113 million. This investment will further fuel Moonvalley's technological innovation and market expansion in the AI video generation field. Just ten days prior to the funding announcement, Moonvalley launched its first video generation model, Marey.

Alibaba Tongyi Wanxiang First and Last Frame Video Generation Model Wan2.1-FLF2V-14B Open Source