Run ONNX models in the browser with WebNN. The developer preview unlocks interactive ML on the web that benefits from reduced latency, enhanced privacy and security, and GPU acceleration from DirectML.
WebNN Developer Preview website.
NOTE: Currently, the supported platforms are Edge/Chromium (support for other platforms is coming soon).
The website provides four scenarios based on different ONNX pre-trained deep learning models.
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
SD-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation. In the demo, you can generate an image in 2s on AI PC devices by leveraging WebNN API, a dedicated low-level API for neural network inference hardware acceleration.
Segment Anything is a new AI model from Meta AI that can "cut out" any object. In the demo, you can segment any object from your uploaded images.
Whisper Base is a pre-trained model for automatic speech recognition (ASR) and speech translation. In the demo, you can experience the speech to text feature by using on-device inference powered by WebNN API and DirectML, especially the NPU acceleration.
MobileNet and ResNet models perform image classification - they take images as input and classify the major object in the image into a set of pre-defined classes.
cd webnn-developer-preview
npm install
WebNN installation guides
WebNN requires a compatible browser to run, and Windows* 11 v21H2 (DML 1.6.0) or higher.
- Download the latest Microsoft Edge Canary browser
- To enable WebNN, in your browser address bar, enter
chrome://flags
, and then pressEnter
. An Experiments page opens - In the Search flags box, enter
webnn
. Enables WebNN API appears - In the drop-down menu, select
Enabled
- Relaunch your browser
Run the website in localhost
npm run dev
This will start a dev server and run WebNN Developer Preview demos with the WebNN enabled browser on your localhost.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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