Web Stable Diffusion
Shares tags: deploy, self-hosted, browser/webassembly
Seamlessly execute ONNX models client-side using WASM and WebGPU for enhanced performance.
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<a href="https://www.stork.ai/en/onnx-runtime-web" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/onnx-runtime-web?style=dark" alt="ONNX Runtime Web - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/onnx-runtime-web)
overview
ONNX Runtime Web is a cutting-edge runtime designed for executing ONNX machine learning models directly in web environments. With support for both CPU and GPU acceleration, it empowers developers to build responsive AI applications without the constraints of server reliance.
features
With recent enhancements, ONNX Runtime Web now includes advanced features such as 'chat mode' support and improved decoding methods. These capabilities enable developers to harness complex model pipelines, essential for creating the next generation of AI applications.
use cases
ONNX Runtime Web is ideal for JavaScript and web developers looking to implement machine learning models in a versatile manner. Its ability to run efficiently in browsers or Node.js makes it perfect for a variety of applications.
ONNX Runtime Web is a runtime environment for running ONNX models in web browsers and Node.js, utilizing WASM and WebGPU for enhanced performance.
JavaScript and web developers seeking to integrate machine learning capabilities into their applications can greatly benefit from ONNX Runtime Web's capabilities.
You can run a variety of models, including those using complex pipelines and advanced features, such as chat modes for conversational AI, enhancing user interaction in web applications.
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