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onnx-web/docs/runpod-readme.md

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ONNX Web

This is a web UI for running ONNX models with hardware acceleration on both AMD and Nvidia system, with a CPU software fallback.

The API runs on both Linux and Windows and provides access to the major functionality of diffusers, along with metadata about the available models and accelerators, and the output of previous runs. Hardware acceleration is supported on both AMD and Nvidia for both Linux and Windows, with a CPU fallback capable of running on laptop-class machines.

The GUI is hosted on Github Pages and runs in all major browsers, including on mobile devices. It allows you to select the model and accelerator being used for each image pipeline. Image parameters are shown for each of the major modes, and you can either upload or paint the mask for inpainting and outpainting. The last few output images are shown below the image controls, making it easy to refer back to previous parameters or save an image from earlier.

Please see the User Guide for more details.

To automatically download and convert models from HuggingFace, issue a read-only token from the Access Tokens page and set it as the value of the HF_TOKEN variable in this pod.