use consistent capitalization for own name
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# Server Administration
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This is the server administration guide for ONNX web.
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This is the server administration guide for onnx-web.
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Please see [the user guide](user-guide.md) for descriptions of the client and each of the parameters.
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@ -88,7 +88,7 @@ Debian-based systems. You may need to install venv through apt instead:
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> sudo apt install python3-venv # only if you get an error
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```
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Every time you start using ONNX web, activate the virtual environment:
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Every time you start using onnx-web, activate the virtual environment:
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```shell
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# on linux:
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# User Guide
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This is the user guide for ONNX web, a web GUI for running ONNX models with hardware acceleration on both AMD and Nvidia
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This is the user guide for onnx-web, a web GUI for running ONNX models with hardware acceleration on both AMD and Nvidia
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system, with a CPU software fallback.
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The API is written in Python and runs on both Linux and Windows and provides access to the major functionality of
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- [User Guide](#user-guide)
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- [Contents](#contents)
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- [Outline](#outline)
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- [What is ONNX web (and what it is not)](#what-is-onnx-web-and-what-it-is-not)
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- [What is onnx-web (and what it is not)](#what-is-onnx-web-and-what-it-is-not)
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- [Modes and tabs](#modes-and-tabs)
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- [Image history](#image-history)
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- [Scheduler comparison](#scheduler-comparison)
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## Outline
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### What is ONNX web (and what it is not)
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### What is onnx-web (and what it is not)
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ONNX web is a responsive web GUI, in both style and performance, for running ONNX models using hardware acceleration on
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onnx-web is a responsive web GUI, in both style and performance, for running ONNX models using hardware acceleration on
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any reasonable platform (one with sufficient memory for the models, that can build scipy within 24 hours, etc).
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The client should do some reasonable validation of input parameters should be done, such as prompt length, pipeline and
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### Model and network types
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The [ONNX runtime](https://onnxruntime.ai/) is a library for accelerating neural networks and machine learning models,
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using [the ONNX file format](https://onnx.ai/) to share them across different platforms. ONNX web is a server to run
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using [the ONNX file format](https://onnx.ai/) to share them across different platforms. onnx-web is a server to run
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hardware-accelerated inference using those models and a web client to provide the parameters and view the results.
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The models used by ONNX web are split up into four groups:
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The models used by onnx-web are split up into four groups:
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1. Diffusion
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1. general models like [Stable Diffusion](https://huggingface.co/runwayml/stable-diffusion-v1-5)
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```none
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Error fetching server parameters
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Could not fetch parameters from the ONNX web API server at http://10.2.2.34:5000.
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Could not fetch parameters from the onnx-web API server at http://10.2.2.34:5000.
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Cannot read properties of undefined (reading 'default')
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```
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Error fetching server parameters
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</AlertTitle>
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<Typography>
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Could not fetch parameters from the ONNX web API server at <code>{props.root}</code>.
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Could not fetch parameters from the onnx-web API server at <code>{props.root}</code>.
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</Typography>
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<Typography>
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{getErrorMessage(props.error)}
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