Android app
-
Rendrflow Update: Enhanced AI Performance & Stability
Read Full Article: Rendrflow Update: Enhanced AI Performance & Stability![[Project Update] I improved the On-Device AI performance of Rendrflow based on your feedback (Fixed memory leaks & 10x faster startup)](https://www.tweakedgeek.com/wp-content/uploads/2026/01/featured-article-8113-300x171.png)
The recent update to Rendrflow, an on-device AI image upscaling tool for Android, addresses critical user feedback by enhancing memory management and significantly improving startup times. Memory usage for "High" and "Ultra" upscaling models has been optimized to prevent crashes on devices with lower RAM, while the initialization process has been refactored for a tenfold increase in speed. Stability issues, such as the "Gallery Sharing" bug and navigation loops, have been resolved, and the tool now supports 10 languages for broader accessibility. These improvements demonstrate the feasibility of performing high-quality AI upscaling privately and offline on mobile devices, eliminating the need for cloud-based solutions.
-
Local AI Image Upscaler for Android
Read Full Article: Local AI Image Upscaler for Android![[P] I built a fully local AI Image Upscaler for Android because I didn't want to rely on cloud servers.](https://www.tweakedgeek.com/wp-content/uploads/2025/12/featured-article-6253-300x171.png)
RendrFlow is an Android app developed to upscale low-resolution images using AI models directly on the device, eliminating the need for cloud servers and ensuring user privacy. The app offers upscaling options up to 16x resolution and includes features like hardware control for CPU and GPU usage, batch processing, and additional tools such as an AI background remover and magic eraser. The developer seeks user feedback on performance across different devices, particularly regarding the app's "Ultra" models and the thermal management of various phones in GPU Burst mode. This matters because it provides a privacy-focused solution for image enhancement without relying on external servers.