我们创建了Vango，对于生成式视觉AI模型如稳定扩散的未来充满了期待，这将极大地降低创作内容的门槛。在为创意人员建立产品的8个月里，我们发现自己正在构建一些不完美的工具，以解决我们对视觉AI的许多困扰。

因此，我们决定构建我们所需的开发工具：Vango是一个灵活的评估平台，可以使视觉模型提高10倍。使用视觉AI模型进行规模化开发的开发人员使用Vango来学习量化的方法来改进他们的模型，每周节省大约10个小时的时间。

已经有一些主要公司开始整合扩散模型，包括Adobe、迪士尼、动视暴雪、Canva和Snap。预计到2025年，每天将有10亿张图片由AI生成。

【Vango AI】 Development platform that makes it 10x easier to improve visual models

We built Vango excited by the future where generative visual AI models like stable diffusion dramatically reduce the barrier to create content. While spending 8 months building products for creatives, we found ourselves building hacky tools to address many of frustrations we had with visual AI.

So we decided to build the devtool we needed: Vango is a flexible evaluation platform that makes it 10x improve visual models. Developers using visual AI models at scale use Vango to learn quantitative ways to improve their model, saving them ~10 hours per week.

Major companies building visual products have already begun integrating diffusion models, including Adobe, Disney, Activision Blizzard, Canva, and Snap. By 2025, it is estimated that 1 billion images per day will be AI-generated.

https://vango.ai/