MiniMax team recently announced the open-source VTP (Visual Tokenizer Pre-training) framework, which is a scalable visual tokenizer pre-training solution.

The innovation of this framework lies in integrating two core capabilities: one is representation learning, and the other is compression and reconstruction mechanisms. Through this combined design, VTP can significantly improve generation quality without additional generator costs—this is highly meaningful for developers who pursue efficiency.

Open-sourcing this framework means that more developers and research teams can build and optimize their own visual generation applications based on VTP, accelerating the iterative innovation in the entire AI visual field. For applications involving image generation, NFT creation, and other scenarios in the Web3 ecosystem, such technological breakthroughs also have reference value.