工人AI：图像生成，文本到语音以及AI应用的未来

CloudFlare通过Leonardo.AI和Deepgram模型扩展了工人AI，使开发人员能够构建低延迟图像生成和实时语音代理。

The world of AI development is rapidly evolving, and Cloudflare is right there in the thick of it. With the expansion of Workers AI to include models from Leonardo.Ai and Deepgram, developers now have powerful tools to build cutting-edge applications.

AI发展的世界正在迅速发展，Cloudflare就在其中。随着工人AI的扩大，包括来自Leonardo.ai和Deepgram的模型，开发人员现在拥有强大的工具来构建最先进的应用程序。

Image Generation Gets a Boost

图像生成得到了提升

Cloudflare's Workers AI is now partnering with Leonardo.Ai, bringing their image generation models to the platform. This is a big deal for anyone looking to create visually stunning applications. Leonardo.Ai's models, like Phoenix and Lucid Origin, are known for their quality and speed. Phoenix excels at text rendering and prompt coherence, while Lucid Origin is fantastic for generating photorealistic images. The speed-to-performance ratio makes them a perfect fit for Workers AI.

Cloudflare的工人AI现在与Leonardo.ai合作，将他们的图像生成模型带到了平台。对于希望创建视觉上令人惊叹的应用程序的任何人来说，这都是一件大事。 Leonardo.ai的模型，例如Phoenix和Lucid Origin，以其质量和速度而闻名。 Phoenix在文本渲染和及时连贯性方面表现出色，而Lucid Origin对于产生影像图像是很棒的。绩效速度比率使其非常适合工人AI。

According to Peter Runham, CTO of Leonardo.Ai, this collaboration unlocks creative possibilities, from character images for gaming to personalized website visuals.

根据Leonardo.ai的首席技术官Peter Runham的说法，这项合作将解锁创意的可能性，从游戏的角色图像到个性化网站视觉效果。

Voice AI Enters the Chat

声音AI进入聊天

But it's not just about visuals. Deepgram's voice AI models are also joining the Workers AI family. Voice is a game-changing interface, offering a higher bandwidth than text and conveying nuances like pacing and intonation. Deepgram's speech-to-text and text-to-speech models are incredibly fast, making them ideal for building low-latency voice agents.

但这不仅仅是视觉效果。 Deepgram的声音AI模型也加入了工人AI家族。 Voice是一个改变游戏规则的界面，提供的带宽比文本更高，并传达了节奏和语调等细微差别。 Deepgram的语音到文本和文本到语音模型非常快，使其非常适合构建低延迟语音代理。

Adam Sypniewski, CTO of Deepgram, emphasizes that hosting their voice models on Cloudflare's Workers AI allows developers to create real-time, expressive voice agents with ultra-low latency. Cloudflare's global network brings AI compute closer to users, enabling lightning-fast conversational AI experiences.

Deepgram的首席技术官Adam Sypniewski强调，在Cloudflare的工人AI上托管他们的语音模型，使开发人员可以创建具有超低延迟的实时表达语音代理。 CloudFlare的全球网络使AI计算更接近用户，从而实现了闪电对话的AI体验。

The @cf/deepgram/nova-3 model transcribes audio with high accuracy, while @cf/deepgram/aura-1 generates context-aware speech with natural pacing. Plus, with WebSocket support, developers can keep a live connection to the inference server for bi-directional input and output.

@cf/deepgram/nova-3模型以高精度转录音频，而 @cf/deepgram/aura-1则以自然起搏生成上下文感知的语音。另外，有了WebSocket的支持，开发人员可以将与推理服务器的实时连接保持，以进行双向输入和输出。

Why This Matters

为什么这很重要

Cloudflare isn't just offering standalone inference services. They're providing a suite of developer products that allow you to build entire applications around AI. Think Workers for application logic, R2 for storage, and Images for media serving. For voice agents, there's WebRTC and WebSocket support, speech-to-text, text-to-speech, and an orchestration layer via Cloudflare Realtime. Cloudflare is betting big on AI, and they're giving developers the tools they need to succeed.

CloudFlare不仅提供独立推理服务。他们提供了一套开发人员产品，可让您围绕AI构建整个应用程序。考虑使用应用程序逻辑的工人，用于存储的R2和用于媒体服务的图像。对于语音代理，通过CloudFlare实时有WebRTC和Websocket支持，语音到文本，文本到语音和编排层。 Cloudflare押注AI，他们为开发人员提供了成功所需的工具。

Looking Ahead

展望未来

The integration of Leonardo.Ai and Deepgram models into Cloudflare's Workers AI marks a pivotal moment for AI application development. It's about making AI more accessible, faster, and more versatile. This is more than just a set of tools; it's a platform for innovation.

Leonardo.ai和Deepgram模型与CloudFlare的工人AI的集成标志着AI应用程序开发的关键时刻。这是关于使AI更容易访问，更快，更通用。这不仅仅是一组工具。这是一个创新平台。

Ready to dive in? Check out the developer docs to get started with these new partner models on Workers AI. Who knows, you might just build the next big thing.

准备潜水了吗？查看开发人员文档，以开始使用工人AI的这些新合作伙伴模型。谁知道，您可能只是建立下一个大事。