Meitu Launches MiracleVision 3.0, Enhancing Work Efficiency in Five Major Industries


According to 36Kr, the video generation capability of Meitu's MiracleVision large model has completed a comprehensive upgrade. This upgrade has significantly improved generation capability, efficiency, and model performance. Combining Meitu's self-developed technologies in the field of computer vision, this upgrade has remarkably enhanced the speed, image quality, smoothness, and realism of the video generation. It is reported that the new video generation capability of MiracleVision has been applied to some Meitu products and will be gradually expanded.
The Meitu AI Visual Large Model MiracleVision is officially launched. Users can experience the capabilities of MiracleVision on the MiracleVision official website and Meitu's products. Meitu opens up the model capabilities of MiracleVision to industry clients and partners. MiracleVision provides functionalities such as text-to-image, image-to-image, and model training to support multi-scenario workflows, reducing costs and increasing efficiency.
["On January 2, Meitu's self-developed AI visual large model MiracleVision has been recorded under the 'Interim Measures for the Management of Generative Artificial Intelligence Services' and will be opened to the public.", "MiracleVision is an AI visual large model independently developed by Meitu, which entered internal testing in June 2023 to provide AI model capabilities for Meitu's products.", "MiracleVision has been upgraded to version 4.0 and is widely used in Meitu's flagship services."]
Meitu's self-developed AI visual model MiracleVision has launched version 4.0, introducing two major new capabilities: AI Design and AI Video. AI Design includes four key features: vector graphics, text effects, intelligent layering, and intelligent typography. MiracleVision 4.0 has unveiled a brand new visual model store, allowing users to choose different visual models to create unprecedented effects. The AI Video capabilities comprise four functions: text-to-video, image-to-video, video panning, and video generation.
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