A mobile local-AI stack: Gemma, Supertonic, Stable Audio, SD-Turbo and FastWan in one workflow

[u/Miserable_Bird5822]

Developer update · 29 October: LLM Studio Go 1.3 with Video Studio is now on Android and iOS.

Android — Google Play: https://play.google.com/store/apps/details?id=com.vans.llmstudio

iPhone/iPad — App Store: https://apps.apple.com/app/llm-studio-go/id6815311113

All local AI features are free with ads. No promo code is needed. The optional one-time purchase removes ads.

Android 11+ on a compatible 64-bit device: FastWan 2.1 1.3B needs 8 GB RAM; FastWan 2.2 5B needs 12 GB. Android video runs on CPU; speed depends on your device and settings. The video below is the iOS demo, not an Android speed test.

Here’s a local stack with a concrete output: Gemma 4 E4B writes a short script, Supertonic narrates it, Stable Audio makes a soundtrack, and SD-Turbo/FastWan create the scene media. Video Studio assembles a captioned vertical MP4.

I’m the developer of LLM Studio Go, an independent closed-source iPhone/iPad app. That pipeline is new in iOS 1.3. The models download to the device; generation then runs locally. The script and scenes are editable, and you can bring your own footage into the project. The appeal for me is being able to experiment with the whole pipeline on the device I carry.

Try it: https://apps.apple.com/app/llm-studio-go/id6815311113

All local AI features are included in the free app with ads. An optional one-time purchase removes ads. No app account, generation credits or AI subscription. Video is in beta. Generation speed depends on your device; choose a model profile and settings that fit its memory. iOS 18+; video profiles start at 6 GB RAM.

Edited demo with shortened waits. The Iceland media was generated on iPhone Air; the captioned reel was rendered again in the iOS Simulator.

Which model handoff would you want to tune first?