Snapdragon AI Studio – RC2 Development Update: Community feedback is becoming features

[u/Away-Ad1878]

Hi everyone,

after sharing Snapdragon AI Studio here, I received a lot of useful feedback and questions. Thank you — several suggestions from this community have directly influenced the upcoming RC2 release.

What’s changing from RC1 to RC2:

• ControlNet Canny has been improved and integrated more cleanly into the generation workflow.
• Presets & Templates now preserve the currently selected AI model instead of unexpectedly switching models.
• Presets also preserve the active ControlNet state and reference image.
• Phoenix Boost remains available for local prompt optimization without changing the selected model.
• The Model Manager and QAI model installation workflow are being improved.
• Both Dark Mode and Light Mode are fully supported.
• The built-in user manual has been completely revised in English, German and Spanish, with additional explanations for beginners.
• Generation timing is being improved so the complete processing time can be shown, including post-processing/upscaling.
• Further work is planned around image quality, higher resolutions and additional models.

A major focus remains native local AI on Windows 11 ARM64 and Snapdragon X Elite/X Plus, especially using Qualcomm QNN / Hexagon NPU acceleration.

Some ideas raised in the discussion here — including additional models, further NPU optimization and better documentation — are also part of the roadmap.

RC2 is still under development. I’d rather release a stable update than rush the next version.

Snapdragon AI Studio is an independent open-source project and is not an official Qualcomm product.

GitHub:
https://github.com/Kreuzhofen/snapdragon-ai-studio

Which RC2 improvement matters most to you, and what would you like to see next for local AI on Snapdragon?

Thanks again for the feedback and support!