ModelScopeGPT also launched to help users accomplish complex AI tasks |
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SHANGHAI, CHINA – Media OutReach – 7 July 2023 – Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, today unveiled its latest AI image generation model, Tongyi Wanxiang (‘Wanxiang’ means ‘tens of thousands of images’) at the World Artificial Intelligence Conference 2023. The cutting-edge generative AI model is now available for enterprise customers in China for beta testing.
In addition, the cloud pioneer announced the launch of ModelScopeGPT, a versatile framework designed to assist users in accomplishing complex and specialized AI tasks across language, vision, and speech domains by leveraging various AI models on ModelScope. ModelScope is an open-source Model-as-a-Service (MaaS) platform introduced by Alibaba Cloud last year, featuring over 900 AI models. “Tongyi Wanxiang represents another significant milestone in our pursuit of advanced generative AI models as we continue to explore paradigm-shifting technologies that empower businesses and communities to unleash greater creativity and productivity,” said Jingren Zhou, CTO of Alibaba Cloud Intelligence. “With the release of Tongyi Wanxiang, high-quality generative AI imagery will become more accessible, facilitating the development of innovative AI art and creative expressions for businesses across a wide range of sectors, including e-commerce, gaming, design and advertising.” Introducing Tongyi Wanxiang for Image Generation The generative AI model is adept at handling various tasks, responding to text prompts in Chinese and English to generate detailed images in an array of styles, encompassing watercolours, oil and Chinese painting to animation, sketch, flat illustration, and 3D cartoons. Moreover, the model can transform any image into a new one with a similar style and stylize images through style transfer, which preserves the content of the original image while applying the visual style of another picture. Powered by Alibaba Cloud’s trailblazing technologies in knowledge arrangement, visual AI and natural language processing (NLP), the model leverages multilingual materials for enhanced training. It boasts a robust semantic comprehension capability, resulting in more accurate and contextually relevant image generation. Additionally, by optimizing the high-resolution diffusion process based on the signal-to-noise ratio, the model can strike a balance between composition accuracy and detail sharpness while enhancing its ability to generate high-contrast, visually stunning images with clean backgrounds. Tongyi Wanxiang was developed using Composer, Alibaba Cloud’s proprietary large model that enables greater control over the final image output, such as spatial layout and palette, while maintaining image synthesis quality and creativity. Text-to-image generation examples by Tongyi Wanxiang:
Please refer to the demo video of Tongyi Wanxiang here: https://www.alizila.com/video/ ModelScopeGPT Launched for Sophisticated AI Tasks Alibaba Cloud also unveiled ModelScopeGPT (https://modelscope.cn/ Alibaba Cloud launched its LLM named Tongyi Qianwen in April, and it plans to integrate the LLM across Alibaba’s various businesses in order to improve the user experience in the near future. The company’s customers and developers will also have access to the model to create customized AI features in a cost-effective way. Since the model’s launch, over 300,000 beta testing requests were received from enterprises from a broad range of sectors, including fintech, electronics, transport, fashion and dairy. Tongyi Qianwen has also been integrated into Alibaba Cloud’s intelligent assistant, Tingwu, enabling the assistant to comprehend and analyze multimedia content with high levels of accuracy and efficiency. Over 360,000 users have accessed to the AI-powered assistant since its launch. AI Hackathon Competition to Inspire Innovation ModelScope also hosted its first ever AI Hackathon in China to facilitate the industrial applications of AI models, with cash prize awards and funding opportunities from leading venture capital firms as incentives. From over 300 participating teams, 56 teams made it to the final round. Participants competed for the grand prize on two tracks. One is to innovate upon a large language model to solve a real-life problem. The second is to leverage existing pretrained models to complete an assigned task, such as text-to-image generation or to build an LLM-powered autonomous agent to utilize the right models for specific tasks. “By hosting competitions and other community events, we want to engage with more developers and entrepreneurs, and to encourage them to bring their ideas to life, unlock productivity, and create more versatile AI tools that transform and shape the future of our industries,” said Jingren Zhou. About Alibaba Cloud Hashtags: #AlibabaCloud |