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AMD-SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
| Date | Stars |
|---|---|
| 2026-07-24 | 1453 |
| 2026-07-25 | 1453 |
| 2026-07-28 | 1453 |
| 2026-07-30 | 1453 |
| 2026-07-31 | 1452 |
| 2026-08-06 | 1450 |
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# AMDSHARK High Performance Machine Learning Distribution <h2>NOTE: This project is not currently maintained.</h2> *The latest versions of this project are developments towards a refactor on top of IREE-Turbine. Until further notice, make sure you use an .exe release or a checkout of the `AMDSHARK-1.0` branch, for a working AMDSHARK-Studio* [](https://github.com/nod-ai/AMD-SHARK-Studio/actions/workflows/nightly.yml) <details> <summary>Prerequisites - Drivers </summary> #### Install your Windows hardware drivers * [AMD RDNA Users] Download the latest driver (23.2.1 is the oldest supported) [here](https://www.amd.com/en/support). * [macOS Users] Download and install the 1.3.216 Vulkan SDK from [here](https://sdk.lunarg.com/sdk/download/1.3.216.0/mac/vulkansdk-macos-1.3.216.0.dmg). Newer versions of the SDK will not work. * [Nvidia Users] Download and install the latest CUDA / Vulkan drivers from [here](https://developer.nvidia.com/cuda-downloads) #### Linux Drivers * MESA / RADV drivers wont work with FP16. Please use the latest AMGPU-PRO drivers (non-pro OSS drivers also wont work) or the latest NVidia Linux Drivers. Other users please ensure you have your latest vendor drivers and Vulkan SDK from [here](https://vulkan.lunarg.com/sdk/home) and if you are using vulkan check `vulkaninfo` works in a terminal window </details> ### Quick Start for AMDSHARK Stable Diffusion for Windows 10/11 Users Install the Driver from [Prerequisites](https://github.com/nod-ai/AMD-SHARK-Studio#install-your-hardware-drivers) above Download the [stable release](https://github.com/nod-ai/AMD-SHARK-Studio/releases/latest) or the most recent [AMDSHARK 1.0 pre-release](https://github.com/nod-ai/AMD-SHARK-Studio/releases). Double click the .exe, or [run from the command line](#running) (recommended), and you should have the [UI](http://localhost:8080/) in the browser. If you have custom models put them in a `models/` directory where the .exe is. Enjoy. <details> <summary>More installation notes</summary> * We recommend that you download EXE in a new folder, whenever you download a new EXE version. If you download it in the same folder as a previous install, you must delete the old `*.vmfb` files with `rm *.vmfb`. You can also use `--clear_all` flag once to clean all the old files. * If you recently updated the driver or this binary (EXE file), we recommend you clear all the local artifacts with `--clear_all` ## Running * Open a Command Prompt or Powershell terminal, change folder (`cd`) to the .exe folder. Then run the EXE from the command prompt. That way, if an error occurs, you'll be able to cut-and-paste it to ask for help. (if it always works for you without error, you may simply double-click the EXE) * The first run may take few minutes when the models are downloaded and compiled. Your patience is appreciated. The download could be about 5GB. * You will likely see a Windows Defender message asking you to give permission to open a web server port. Accept it. * Open a browser to access the Stable Diffusion web server. By default, the port is 8080, so you can go to http://localhost:8080/. * If you prefer to always run in the browser, use the `--ui=web` command argument when running the EXE. ## Stopping * Select the command prompt that's running the EXE. Press CTRL-C and wait a moment or close the terminal. </details> <details> <summary>Advanced Installation (Only for developers)</summary> ## Advanced Installation (Windows, Linux and macOS) for developers ### Windows 10/11 Users * Install Git for Windows from [here](https://git-scm.com/download/win) if you don't already have it. ## Check out the code ```shell git clone https://github.com/nod-ai/AMD-SHARK-Studio.git cd AMD-SHARK-Studio ``` ## Switch to the Correct Branch (IMPORTANT!) Currently AMDSHARK is being rebuilt for [Turbine](https://github.com/iree-org/iree-tur
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:047cb351dacaca0e, topic:deep-learning, topic:pytorch