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Sean Sube 2023-01-07 08:33:48 -06:00
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README.md
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# ONNX Web
This is a rudimentary web UI for ONNX models, providing a way to run GPU-accelerated models on Windows and even AMD
with a remote web interface.
This is a web UI for running ONNX models with GPU acceleration locally or on a remote machine.
This is still fairly early and instructions are a little rough, but it works on my machine. If I keep working on this
for more than a week, I would like to add img2img and Nvidia support.
The API runs on both Linux and Windows and provides access to the major functionality of `diffusers`, metadata
about the available models and accelerators, and the output of previous runs.
The GUI runs in all major browsers, including on mobile devices, and allows you to select the model and accelerator
being used, along with the prompt and other image parameters. The last few output images are shown, making it easy to
refer back to previous parameters.
![txt2img with example astronaut prompt and image](./docs/readme-preview.png)
@ -15,6 +18,8 @@ Based on guides by:
- https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs
- https://www.travelneil.com/stable-diffusion-updates.html
This is still an early project and the instructions are a little rough, but it works on my machine.
## Features
- REST API server capable of running ONNX models with DirectML acceleration
@ -54,11 +59,11 @@ This is a very similar process to what [harishanand95](https://gist.github.com/h
and [averad's](https://gist.github.com/averad/256c507baa3dcc9464203dc14610d674) gists recommend, split up into a few
steps:
1. Install Git and Python, if you have not already
2. Create a virtual environment
3. Install pip packages
4. Install ORT Nightly package
5. Download and convert models
1. [Install Git and Python](#install-git-and-python), if you have not already
2. [Create a virtual environment](#create-a-virtual-environment)
3. [Install pip packages](#install-pip-packages)
4. [Install ORT Nightly package](#install-ort-nightly-package)
5. [Download and convert models](#download-and-convert-models)
### Note about setup paths