Introducing AI Playground

Updated 05/23/2025

AI Playground, an easy-to-use Generative AI app suite for Intel AI PCs, powered by Intel Arc GPUs, either built-in Intel® Core™ Ultra Processors or via Intel® Arc™ discrete GPUs.  AI Playground is available as an open-source project and packaged Windows desktop installer.

NEW: Support for Intel Core Ultra 200H Processors (ARL-H).  Feature support for OpenVINO for chat (for GPU or NPU), and LTX Video for text to video generation. AI Playground also supports DeepSeek models, SD1.5 SDXL, Flux.1-Schnell and ComfyUI workflows, GGUF LLM support and more.

Download AI Playground: 

Please note while an installer makes the process easy to get up and running, this is open source beta software, where components and version can have conflicts. Check the Troubleshooting section of the project readme for known issues.

Back-up any valued content generated from a previous installation before installing

What is AI Playground

AI Playground beta is a free to download and use AI PC starter app, that makes AI easy Intel AI PCs. AI Playground provides a variety of easy-to-use AI features to generate images from text, enhance and stylize images, get answers from an AI chatbot, and leverage production workflows for specific AI tasks, all running locally on your own PC powered by either an Intel Core Ultra processor with built-in Intel Arc GPU or an Intel Arc discrete GPU 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. AI Playground will prompt you if and when a model is needed for a task, 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 . AI Playground keeps it all together in one easy-to-use experience. Currently AI Playground supports Stable Diffusion 1.5, Stable Diffusion XL, Flux.1-Schnell, 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.

Core 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.

New To AI Playground 2.0

AI Playground delivers an array of new solutions, each expanding what AI Playground can do, building on its modular architecture to deliver value and capabilities even between releases.

OpenVINO Chat Backend

OpenVINO is now available as a chat back-end option. This is an early preview of OpenVINO Gen AI, for AI Playground. With OpenVINO you now have access to the most performant inferencing solution for Intel hardware.  

Workflows

For image generation we’ve added a workflow mode option to the image settings. This feature delivers image generation workflows though the integration of ComfyUI as an alternative backend engine for image generation. With workflow mode you can choose to run predefined workflows committed to the AI Playground project. At launch we’ve provided the following workflows, giving you access to higher production level features and advanced image generation models

LTX Video: (New to v2.2) Text to video is now possible in AI Playground using the LTX Video solution.  Describe a scene, who is in the scene, how they are moving and the setting, period and more and turn that into a motion video clip.

Colorize: (New to v2.2) You can now take old black and white photography and colorize them directly in AI Playground.  Choose from 4 different colorization models and give old photos new life

Flux.1-Schnell: Two workflows are provided using Flux.1-Schnell model from Black Forest Labs. This model has gained popularity and a reputation for producing higher quality output, with strong prompt adherence, and support for text in the image.  With this workflow you can specify where objects are to be located, their color and texture, as well as words and phrases that should be in the final image. We’ve provided two workflows, one for medium quality and one at high quality. The high-quality version uses a higher precision model, which may result in higher quality output, adherence and accuracy for text compared the medium quality workflow

Line to Photo HD: Two workflows are available for to control the output of an image for image previsualization and stylization.  This workflow allows you control the look of an image through the structure and form of a reference image. The usages are to previsualize simple line art, design wireframes, or architectural drawings into fully realized photographic images, where through the text prompt you can define the location, weather, period, and other elements in the image, while retaining the structure and composition of the original image.  Two workflows are provided. Both use the SDXL JuggenautXL model for HD level imagery plus the Canny ControlNet model to control the output through the structure of a reference image. One also includes a fast LCM model similar to Fast button option in Default image generation.

Face Swap:  With this workflow you control the likeness of a text generated image, using the likeness from a sample reference image.  Simply upload a reference image (all images remain local to your PC), type in a prompt to describe the output image, then generate.  The end result is an image guided by your prompts, but with a likeness resembling the original image.

Workflow Sync: The workflow sync button allows you to download updated or new workflows that have been committed to the public AI Playground repository. These can provide new capabilities and features between releases. 

ComfyUI Editor: For users interested in diving into ComfyUI workflows, or those already familiar with ComfyUI, we’ve provided direct access to its workflow editor, allowing users to edit or create workflows for use either directly from ComfyUI or in AI Playground. We encourage and welcome the community created workflows submitted and shared to AI Playground via Pull Requests to our project.

GGUF Support

For the Answer section we’ve added an experimental back-end option, using Llama.cpp with GGUF support. This allows users to run GGUF models directly in AI Playground expanding access to models in this format.  When selected, supported GGUF models are pre-populated in the model list. Note this feature has limited features – Retrieval-Augmented Generation (RAG) not currently supported in the alpha release.

Additionally, we’ve included a new Add Model feature.  This allows you to insert HuggingFace Model IDs and specific model paths. After adding these models will appear in your model selector, and download them for use, on first run

Runtime Installer

We’ve updated the installation process, to help make it more reliable, expandable and to assist troubleshooting installation issues.

Installation Manager:  We’ve included an installation manager, allow users to manage the installation state of various pieces of the application. If any portion is missing or needs fixing, it can be reinstalled using the installation manager.

Single Installer: New to 2.0 is a single installer binary, able to install on all supported hardware including: Intel Core Ultra-H Series 1, Intel Core Ultra Series 2, and Intel Arc Series A and B Series GPUs with 8GB+ of vRAM. Note: as an alpha preview, all systems environments may not be fully tested and functional, back up any previous installs before using.

Backend Restart: We’ve conveniently provided backend end restart buttons for each core component via the Backend Installation Manager, in the Basic Settings of AI Playground.  Restarting these backends may improve or restore performance without having to restart AI Playground

UI/UX

Themes: With AI Playground 2.0 we’ve added a new Intel Arc theme and provided a means to dress up your AI Playground experience with any of our themes: the original Dark theme, Intel Core Ultra theme, or the new Intel Arc theme.

Resolution scale:  Resolution settings can be tricky with Generative AI, because you often need to know what resolutions the model supports.  We’ve made this easy with flexibility by adding a resolution scale feature to the Aspect Ratio tool. Now you can set the resolution scale in Megapixels (1 million pixels). And we’ve provided guardrails by setting defaults and boundaries on the resolution you can pick for each image generation mode.  Resolution can be freely set using Manual mode.

All Generative AI Features

See AI Playground In Action

Demo Reel

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

ประกาศและข้อจำกัดความรับผิดชอบ: For information on AI Playground terms, license and disclaimers, visit the project and files on GitHub repo:

License | ประกาศและข้อจำกัดความรับผิดชอบ