MusePro Open-Sourced: Real-Time SDXL Drawing App for iOS Now Free on GitHub
A groundbreaking iOS drawing application, MusePro, has been open-sourced by its developer, offering real-time AI image generation powered by SDXL and Metal optimization. The app, which transforms Apple Pencil strokes into instant AI art, is now available on GitHub under the StyleOf organization, sparking excitement among artists and developers alike.

MusePro Open-Sourced: Real-Time SDXL Drawing App for iOS Now Free on GitHub
In a significant move for the AI art community, MusePro — a high-performance, Metal-optimized iOS application that generates real-time images using the Stable Diffusion XL (SDXL) model — has been officially open-sourced. The app, originally developed by independent engineer @okaris, is now freely available on GitHub under the repository StyleOf/MusePro. This release marks a milestone in mobile AI creativity, providing artists, developers, and researchers with unprecedented access to a professional-grade, low-latency drawing interface powered by on-device AI.
MusePro leverages Apple’s Metal framework to achieve real-time rendering of AI-generated imagery as users sketch with the Apple Pencil. Unlike traditional AI art tools that require post-processing or cloud-based inference, MusePro runs entirely on-device, ensuring privacy, speed, and responsiveness. According to the GitHub repository, the app supports SDXL 1.0 and integrates custom prompt conditioning, allowing users to influence output through stroke pressure, direction, and timing. The project’s documentation highlights optimizations for A14 and later Apple chips, enabling stable 30+ FPS generation even during complex strokes.
The open-sourcing of MusePro follows a growing trend of AI developers releasing proprietary tools to foster community innovation. While many commercial AI art platforms remain closed-source, MusePro’s transparency invites scrutiny, adaptation, and extension. Developers can now examine how the app bridges the gap between traditional digital illustration and generative AI, potentially accelerating the development of similar tools for visionOS, iPadOS, or even Android. The repository includes full source code, build instructions, and sample prompts, making it accessible even to those with limited machine learning experience.
Community reaction has been overwhelmingly positive. On Reddit’s r/StableDiffusion, users praised the app’s performance and the developer’s decision to release it under an open license. One commenter noted, "This is the first time I’ve seen SDXL run this smoothly on iOS without lag or latency. It feels like magic." Others are already proposing integrations with Procreate’s API, MIDI controllers, and voice-activated prompting systems. The project’s GitHub page, while minimal in design, is actively maintained, with the developer responding to issues and feature requests within hours of submission.
Technically, MusePro’s architecture is a feat of engineering. It combines Core Image pipelines with Metal Performance Shaders to preprocess user input, then feeds it into a quantized SDXL model running on the Neural Engine. The app dynamically adjusts inference resolution based on stroke complexity, conserving battery and processing power without sacrificing visual fidelity. Unlike cloud-dependent tools, MusePro requires no internet connection after initial model download — a critical advantage for artists working offline or in regions with restricted connectivity.
While the project is currently iOS and visionOS exclusive, the modular design suggests potential for cross-platform porting. The developer has not announced plans for an App Store release, indicating that MusePro is intended as a developer-centric tool rather than a commercial product. This aligns with the ethos of the open-source AI movement, where innovation thrives through collaboration rather than monetization.
As AI-generated art continues to reshape creative industries, MusePro stands out not only for its technical prowess but for its commitment to accessibility. By releasing the source code, the developer empowers a new generation of artists to experiment with AI as a true drawing partner — not just a filter or an endpoint, but an interactive, responsive medium. For educators, MusePro offers a compelling case study in real-time AI-human collaboration. For hobbyists, it’s a glimpse into the future of digital illustration. And for developers, it’s a blueprint for the next wave of on-device generative tools.
Download MusePro’s source code and documentation at github.com/StyleOf/MusePro.


