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+# ONNX Web
+
+This is a web UI for running [ONNX models](https://onnx.ai/) 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`](https://huggingface.co/docs/diffusers/main/en/index),
+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](https://ssube.github.io/onnx-web/) 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](https://github.com/ssube/onnx-web/blob/main/docs/user-guide.md) for more details.
+
+To automatically download and convert models from [HuggingFace](https://huggingface.co), issue a read-only token from the [Access Tokens page](https://huggingface.co/settings/tokens) and set it as the value of the `HF_TOKEN` variable in this pod.