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In June we gave a sneak peek of AI Playground, and now we are excited to offer you access to the AI Playground beta open-source project and packaged Windows desktop installer.
Download AI Playground:
AI Playground will run on systems with an Intel® Core™ Ultra PC with a built-in Intel® Arc™GPU or an Intel Arc Graphics discrete card using 8GB of memory or more
AI Playground Files | Links |
Installer For Intel Arc dGPU 8GB+ | Release Notes | Download |
Installer For Intel Core Ultra-H PCs | Release Notes | Download |
Installer For Intel Core Ultra 200V Series | Coming Soon (see video) |
Source Code and Repo | Visit |
User Manual | Download |
Community/Support | First Join Intel Insiders Discord AI Playground Discord Channel |
What is AI Playground
AI Playground beta is a free to download and use AI PC starter app, that makes AI easy on Intel Arc GPUs. AI Playground provides a variety of easy-to-use AI capabilities to create and enhance images, or get answers from an AI chatbot, all running locally on your own PC powered by either an Intel Core Ultra-H processor or with an Intel Arc dGPU with at least 8GB of vRAM.
Easy To Use: AI Playground is designed to be easy to use, allowing you to get working with AI quickly. From the start AI Playground will prompt you if and when a model is needed for a tasking, allowing you to download one, or provide your own. And our settings are written and designed using terms that make sense for the task without you having to be educated on AI just to use AI.
All-In-One AI Hub: Switch seamlessly between usages of image creation, image editing, and a chat LLM without starting and stopping local service instances. AI Playground keeps it all together in one easy-to-use experience. Currently AI Playground supports Stable Diffusion 1.5, Stable Diffusion XL, LCM Fast LoRAs, Image Upscale, Image to Image Stylization, Inpainting, Outpainting, ChatBot with session history context and LLM RAG features allowing you to get summaries, and search content from your local computer.
Flexible: AI Playground will provide access to models for all features, and more advanced users can install their favorite models and tweak manual settings, to configure AI Playground to work the way they want it to work.
Local: AI Playground is locally run, therefore your prompts, and the output never leave your computer. This provides you privacy and control of your content and input for working with AI, and puts you in control without an upstream entity over your shoulder censoring your prompts or capturing your data and content.
Hardware Optimized: AI Playground takes advantage of Intel Arc GPU architecture leveraging our powerful Intel Xe Cores and XMX engine.
Open: AI Playground is also an open-source project where our community can clone, fork or help us address features and capabilities of the main repo.
Features
![]() CREATE Generate stunning images from text in Standard Res, HD or use Manual mode to use alternative models, and advanced features. Adjust quality setting and switch to Fast mode to produce images in a fraction of the time | ![]() ENHANCE Take your images to the next level using the Enhance feature. Use Enhance to Upscale images with or without variation, Stylize images, Inpaint and Outpaint images, either from the Create process or images from your own PC. |
![]() ANSWER Access to your own AI chatbot. Get answers on generalized knowledge, assistances on writing code, or have the chatbot summarize and get details from text files on your own computer | ![]() LEARN MORE AI Playground is a place to get started with your AI journey using Intel Arc GPUs. Join our community, get tips and techniques from our video content or graduate to more specialized AI tool. |
See AI Playground In Action
Introduction Video of Core Features
Install Image Checkpoints
For more information, visit the AI Playground project on GitHub, or join our Intel Insiders Discord to engage directly with Intel and our Community on AI Playground
Notices and Disclaimers: For information on AI Playground terms, license and disclaimers, visit the project and files on GitHub repo: