On the occasion of Vidu's launch anniversary, Shengshu Technology is proud to announce the release of the new version Vidu 1.5, which achieves world-leading breakthroughs, especially in understanding diverse inputs and overcoming the 'consistency' challenge. The launch of Vidu 1.5 marks a new 'contextual' era for visual models, accelerating the arrival of Artificial General Intelligence (AGI). From its global debut, Vidu has demonstrated the ability to generate character consistency.

Today, the Zhipu Technology team released its latest video generation model, CogVideoX v1.5, and made it open source. This version is another significant advancement in the CogVideoX series launched by the Zhipu Technology team since August. The update greatly enhances video generation capabilities, including support for 5-second and 10-second video lengths, 768P resolution, and the ability to generate 16 frames. Additionally, the I2V (Image-to-Video) model supports arbitrary aspect ratios, further improving the understanding of complex semantics.

Beijing Zhizhu Huazhang Technology Co., Ltd. announced that its CogVideoX series models have launched the latest version - CogVideoX v1.5, which is now open source. Since its release in early August, this series of models has become a leader in the video generation field due to its industry-leading technology and developer-friendly features. The new version, CogVideoX v1.5, has been significantly upgraded, enhancing video generation capabilities and now supports 5/10 second, 768P, 16-frame video generation.

Kuaishou, Peking University, and Beijing University of Posts and Telecommunications have joined forces to unveil a groundbreaking technological achievement—the Pyramid-Flow high-definition video model. This open-source project has made significant breakthroughs in the field of AI-generated video, bringing new possibilities to the industry. The Pyramid-Flow model demonstrates remarkable capabilities, generating high-quality videos of up to 10 seconds in length, with a resolution of 1280x768 and a frame rate of 24fps, using only text input. It excels in light and shadow effects, motion continuity, overall image quality, and text interpretation.

Recently, Kuaishou, along with research teams from Peking University and Beijing University of Posts and Telecommunications, jointly open-sourced an ultra high definition video generation model named Pyramid-Flow. This model can generate videos of up to 10 seconds long, with a resolution of 1280x768 and 24 frames per second, producing high-quality results with excellent lighting effects, action consistency, and overall video quality. Pyramid-Flow operates differently from existing video diffusion models, which typically run at full resolution; while this approach allows for...

At the Baidu Cloud Intelligence Conference held today, Tang Jiayu, co-founder and CEO of Shengshu Technology, announced that Vidu, the first domestic video large model, officially opens its API and integrates with Baidu Intelligent Cloud's Qianfan Large Model Platform, becoming the first video large model on this platform. Vidu's self-developed video generation technology boasts advantages such as high dynamism, diverse styles, and exceptional reasoning. It has also launched the 'Subject Reference' feature globally, effectively solving the problem of consistent video model generation. Since its launch at the end of July, Vidu has received thousands of enterprise user integrations.

At today's 2024 Volcano Engine AI Innovation Tour, in addition to the video generation model, ByteDance also launched the Doubao Music Model and Doubao Simultaneous Interpretation Model, announcing significant upgrades to the Doubao General Model Pro, Text-to-Image Model, Speech Synthesis Model, and other specialized models. The introduction of the Doubao Music Model signifies Volcano Engine's deep commitment to the field of music creation. Supported by powerful algorithms, this model enables high-quality music creation freely. For lyrics generation, it can quickly generate emotional lyrics based on just a few simple input words.

At the 2024 Volcano Engine AI Innovation Roadshow, Volcano Engine President Tan Dai unveiled the latest Doubao · Video Generation Model. This model incorporates several advanced technologies, including the efficient DIT Fusion Computing Unit, which enables deep compression encoding of video and text; it also employs a novel diffusion model training approach to ensure consistency in generating multi-camera videos; in addition, the model integrates a deeply optimized Transformer architecture, significantly enhancing the generalization ability of video generation.

Aishi Technology's video generation model PixVerse has officially launched its new user interface (UI). This update brings a series of innovative features aimed at enhancing the user's creative experience. First, the introduction of the universal creation floating panel allows users to start creating instantly on any product interface without frequent switching between different modules, integrating all functions in one place. Additionally, the homepage inspiration library curates the most creative videos from around the world, enabling users to apply templates with a single click, making it easy for anyone to replicate viral videos.

Alibaba Group's Tongyi announced that its latest developed AI video generation large model - Tongyi Wanxiang AI Video Generation, is officially online. This technology, with its powerful visual dynamic generation capability, can quickly generate video content with various artistic styles and cinematic quality based on text prompts.

Today, ByteDance's Volcano Engine announced that the Doubao Large Model will release a video generation model on September 24, bringing upgrades to more capabilities in the model family. It is understood that the Doubao Large Model was officially launched at the Volcano Engine Original Power Conference on May 15, 2024.

The domestic open source video generation model CogVideoX-5B has been officially released in the Mota ModelScope community, significantly improving the quality and visual effects of video generation. Based on the large-scale DiT model, this model utilizes a 3D causal variational autoencoder and expert Transformer technology, achieving spatio-temporal joint modeling through 3D-RoPE positional encoding and a 3D full attention mechanism. The use of progressive training techniques allows the model to generate long videos with distinct motion features, coherence, and high quality.

Zhipu AI announces the open source of its video generation model CogVideoX, aiming to promote the rapid development and application of video generation technology. The CogVideoX model is based on advanced large model technology and is capable of meeting commercial-grade application requirements. The currently open sourced CogVideoX-2B version requires only 18GB of GPU memory for inference at FP-16 precision and 40GB for fine-tuning, allowing inference with a single 4090 GPU and fine-tuning with a single A6000 GPU.

Baidu Intelligent Cloud and Shengshu Technology have officially launched the video model Vidu, bringing new possibilities to the creative field. Vidu is the first fully self-researched video model in China, with performance fully comparable to OpenAI's Sora. It is aimed at creative fields such as art design, game production, film and animation, and social entertainment, and is dedicated to stimulating the productivity and creativity of all humanity.

Today, Shenshu Technology announced the global launch of its AI video generation model, Vidu. Vidu is a model that utilizes artificial intelligence technology to generate videos from text or images. In April of this year, Shenshu Technology partnered with Tsinghua University to release China's first large video model - 'Vidu', marking an important step for China in video generation technology.

Zhipu AI has launched CogVideoX, a next-generation video generation model that enhances temporal frame relationship capturing through a 3D VAE structure and 3D RoPE module. This model integrates text, time, and space into a transformer architecture, allowing for efficient video generation that meets user needs. It is available on the Zhipu Qingyan platform for free video generation services, featuring fast generation, effective instruction adhere....