The Popular 'Video Version of ControlNet' is Open Source! Precisely Change Art Styles with Prompt Words, Created by a Fully Chinese Team

EasyControl: Empowering DiT Models with ControlNet-like Capabilities, Including Ghibli Style Transfer

In the field of AI art generation, diffusion models are transitioning from U-Net based architectures to Transformer-based architectures (DiT). However, the DiT ecosystem faces challenges in plugin support, efficiency, and multi-conditional control. Recently, a team led by Xiaojiu-z introduced EasyControl, an innovative framework designed to provide efficient and flexible conditional control capabilities for DiT models, effectively giving DiT models the power of ControlNet.

Tencent Releases GeometryCrafter: Unlocking Geometric Consistency in Open-World Videos with AI

Tencent has recently unveiled GeometryCrafter, a new AI model released via Hugging Face. This model excels at consistent geometric estimation in open-world videos, quickly gaining attention in the tech community. Leveraging diffusion priors, GeometryCrafter opens up new possibilities for deep understanding and processing of video content, offering benefits to creators and researchers alike.

Video Creation Welcomes 'Master Ma Liang'! Kuaishou Releases Video Version of ControlNet, Precisely Controlling Details to Amaze the Audience

Kuaishou Launches CineMaster: Video Version of ControlNet, Achieving Precise 3D Perception for Text-to-Video Generation

Chinese Research Team Unveils VideoChat-Flash, Boosting Long Video Processing Speed by 100 Times

Traditional video understanding models face numerous challenges when processing long videos, including the complexities of understanding the extended context. Although considerable research has been conducted to enhance video understanding capabilities, effectively overcoming the issues of low training and inference efficiency remains difficult. To address these challenges, the research team utilized HiCo technology to compress redundant parts of video information, significantly reducing computational demands while retaining key information. Specifically, HiCo achieves hierarchical compression of the video by segmenting long videos into shorter clips, thereby reducing processing time.

Israeli Tech Company Lightricks Launches LTXV! Generate an AI Video in 4 Seconds

Israeli tech company Lightricks has recently launched a lightning-fast AI video processing platform called LTX Video (LTXV). This platform uses advanced artificial intelligence models that can run on commonly used graphics processing units (GPU). Released in late November, LTXV can generate a 5-second AI video clip at a resolution of 768x512 in just 4 seconds, making it stand out among other AI video platforms. With its 2 billion parameters, it is capable of even...

AI Daily: Zhipu AI Releases Upgrade of AutoGLM; Kimi Tests AI Video Generation Feature; SD3.5L Introduces Three New ControlNet Features; Celebrating Two Years of ChatGPT

Welcome to the AI Daily column! Here is your guide to exploring the world of artificial intelligence every day. We present you with hot topics in the AI field, focusing on developers and helping you gain insight into technology trends and innovative AI product applications. Check out the fresh AI products here: https://top.aibase.com/1. Shocking news! The company has further solidified its position in the industry through financing and technological innovation, particularly with the construction of supercomputers.

Shocking News! Stability AI's SD3.5L Introduces Three New ControlNet Features, Enhancing Image Generation Capabilities

Chinese Team Releases the World's Largest Open-source Multimodal Dataset, Achieving Record Performance with 2B Parameter Model

Recently, research teams from several Chinese scientific institutions have launched the super large-scale multimodal dataset named Infinity-MM, and based on this dataset, they have trained an outstanding AI model called Aquila-VL-2B. This breakthrough injects new momentum into the development of multimodal AI. The Infinity-MM dataset is astonishing in size, containing four major types of data: 10 million image descriptions, 24.4 million general visual instruction data, 6 million selected high-quality instruction data, and 3 million generated by G

Chinese Team Launches World's Largest Multimodal Dataset 'Infinity-MM' and Cutting-Edge Micro AI Model 'Aquila-VL-2B'