The Product Description Generator is an AI-based e-commerce demonstration project that allows users to upload product images and generate detailed product descriptions in different languages. Supported by Together AI and Llama 3.2 Vision, this project enables users to quickly create e-commerce product descriptions suitable for multilingual markets. Its importance lies in helping e-commerce businesses save time and costs on writing product descriptions while enhancing their level of internationalization.

GoMaxAI Pro Edition is an AIGC platform developed on Node.js, Vue3, and Uniapp, offering services like ChatGPT, Midjourney painting, Suno music, and Pika/Runway/Sora video services. It supports private deployment, making it suitable for individuals, teams, and enterprises, with a focus on user experience and resource integration, as well as permission management and security auditing features.

CogVideoX is an open-source video generation model that shares lineage with commercial models, enabling the generation of video content through textual descriptions. It represents the latest advancements in text-to-video generation technology, capable of producing high-quality videos applicable in various fields including entertainment, education, and commercial promotion.

Gemma 2 2B is a lightweight, advanced text generation model developed by Google, belonging to the Gemma model family. This model is built on the same research and technology as the Gemini model and is a text-to-text decoder consisting solely of a large language model, offering an English version. The Gemma 2 2B model is well-suited for various text generation tasks such as question answering, summarization, and reasoning, while its smaller model size enables deployment in resource-constrained environments like laptops or desktops, facilitating access to advanced AI models and fostering innovation.

Index-1.9B-Pure is a lightweight version of the Index series model, specifically designed for text generation. It has been pre-trained on 2.8T of Chinese and English data and outperforms comparable models on several benchmark scores. This model is particularly filter out all instruction-related data to validate the influence of instructions on benchmark, making it suitable for fields requiring high-quality text generation.

The Video Mamba Suite is a new state-space model suite for video understanding designed to explore and assess the potential of Mamba in video modeling. It contains 14 models/modules, covering 12 video understanding tasks, demonstrating efficient performance and superiority in both video and video-language tasks.

Open-Sora-Plan is an open-source project dedicated to replicating OpenAI's Sora (T2V model) and constructing knowledge about Video-VQVAE (VideoGPT) + DiT. Initiated by the Peking University-Tuizhan AIGC Joint Laboratory, the project currently has limited resources and seeks contributions from the open-source community. The project provides training code and welcomes Pull Requests.

TrailBlazer is a diffusion-based video generation model that enables customized video creation through trajectory control. Users can guide the subject in a video using simple bounding boxes without requiring additional model training or online optimization. TrailBlazer supports the editing of spatial and temporal attention maps, as well as controlling the trajectory and appearance of the subject through keyframe bounding boxes and prompts. This model is simple and efficient to operate, generating natural and smooth video effects. TrailBlazer is suitable for a variety of user scenarios, providing an unlimited creative experience for video generation.

FlowVid is an optical flow guided video synthesis model. By utilizing the spatial and temporal information of optical flow, it achieves temporal consistency between video frames. It seamlessly integrates with existing image synthesis models to enable various modification operations, including stylization, object swapping, and local editing. FlowVid boasts fast generation speed; a 4-second, 30FPS, 512×512 resolution video can be generated in just 1.5 minutes, outperforming CoDeF (3.1x), Rerender (7.2x), and TokenFlow (10.5x) respectively. In user evaluations, FlowVid achieved a quality score of 45.7%, significantly surpassing CoDeF (3.5%), Rerender (10.2%), and TokenFlow (40.4%).

The Product Description Generator is an AI-based e-commerce demonstration project that allows users to upload product images and generate detailed product descriptions in different languages. Supported by Together AI and Llama 3.2 Vision, this project enables users to quickly create e-commerce product descriptions suitable for multilingual markets. Its importance lies in helping e-commerce businesses save time and costs on writing product descriptions while enhancing their level of internationalization.

GoMaxAI Pro Edition is an AIGC platform developed on Node.js, Vue3, and Uniapp, offering services like ChatGPT, Midjourney painting, Suno music, and Pika/Runway/Sora video services. It supports private deployment, making it suitable for individuals, teams, and enterprises, with a focus on user experience and resource integration, as well as permission management and security auditing features.

CogVideoX is an open-source video generation model that shares lineage with commercial models, enabling the generation of video content through textual descriptions. It represents the latest advancements in text-to-video generation technology, capable of producing high-quality videos applicable in various fields including entertainment, education, and commercial promotion.

Gemma 2 2B is a lightweight, advanced text generation model developed by Google, belonging to the Gemma model family. This model is built on the same research and technology as the Gemini model and is a text-to-text decoder consisting solely of a large language model, offering an English version. The Gemma 2 2B model is well-suited for various text generation tasks such as question answering, summarization, and reasoning, while its smaller model size enables deployment in resource-constrained environments like laptops or desktops, facilitating access to advanced AI models and fostering innovation.

Stable Video 4D is the latest AI model launched by Stability AI, capable of transforming single object videos into multiple novel view videos from eight different angles. This technology represents a significant leap from image-based video generation to complete 3D dynamic video synthesis. It holds potential applications in game development, video editing, and virtual reality, and is continuously being optimized.

RunwayML is a leading next-generation creative suite that offers a rich set of tools enabling users to transform any idea into reality. With its unique text-to-video generation technology, users can create videos from text descriptions directly on their mobile devices. Key advantages include: 1. Text-to-Video Generation: Users can generate videos simply by inputting text descriptions. 2. Real-Time Updates: Regularly released new features and updates ensure users always have access to the latest AI video and image tools. 3. Seamless Asset Transfer: Users can effortlessly move assets between mobile devices and computers. 4. Multiple Subscription Options: Offering standard, professional, and plans that include 1000 video generations per month.

Index-1.9B-Pure is a lightweight version of the Index series model, specifically designed for text generation. It has been pre-trained on 2.8T of Chinese and English data and outperforms comparable models on several benchmark scores. This model is particularly filter out all instruction-related data to validate the influence of instructions on benchmark, making it suitable for fields requiring high-quality text generation.

The Video Mamba Suite is a new state-space model suite for video understanding designed to explore and assess the potential of Mamba in video modeling. It contains 14 models/modules, covering 12 video understanding tasks, demonstrating efficient performance and superiority in both video and video-language tasks.