Future Technology

stable diffusion

Venturing into the realm of mobile deployment for Stable Diffusion models requires overcoming challenges in computational and memory resources. In this article, we delve into deploying Stable Diffusion on mobile devices using the TensorFlow Lite framework. We address challenges, propose solutions, and guide you through deploying and optimizing Stable Diffusion on your mobile device.


Challenges in Mobile Deployment

The constraints of mobile devices pose hurdles in deploying large-scale diffusion models like Stable Diffusion. Optimizing performance across varying computational power and memory capacities is imperative.


Efficient deployment on mobile devices is made possible by harnessing Google’s TensorFlow Lite (TFLite) framework. TFLite’s compatibility with iOS and Android devices makes it an ideal choice for our implementation.

Numerically Stable Approximation

A hurdle in deploying diffusion models on mobile devices is the numerical instability of the approximated GELU operator. To combat this, we introduce a numerically stable approximation, preventing floating-point exceptions and preserving image quality.

Pipelined Execution for Memory Efficiency

Mobile devices with limited memory necessitate strategic loading of Stable Diffusion components. We propose a pipelined execution strategy, sequentially loading the denoising network, text encoder, and image decoder. This minimizes unnecessary memory occupation and enhances overall performance.

How to Deploy Stable Diffusion on Mobile Devices Using TensorFlow Lite

To deploy Stable Diffusion on mobile devices using TensorFlow Lite:

  1. Convert the Stable Diffusion model to a TensorFlow Lite model using the TensorFlow Lite Converter tool.
  2. Create a mobile app for inference, developed using frameworks like Android Studio or Xcode.

Optimizing the Performance of Stable Diffusion on Mobile Devices

Several techniques optimize Stable Diffusion’s performance on mobile devices:

  • Model pruning: Remove unnecessary parameters from the model.
  • Quantization: Reduce the precision of the model’s parameters.
  • TFLite optimizations: Leverage TensorFlow Lite’s optimizations for improved performance.

Evaluating the Performance of Stable Diffusion on Mobile Devices

Metrics for evaluating performance include:

  • Inference time: Measures the time to generate an image using the Stable Diffusion model.
  • Memory usage: Quantifies the amount of memory used by the Stable Diffusion model.
  • Image quality: Assesses the quality of images generated by the Stable Diffusion model.

Real-World Applications of Stable Diffusion on Mobile Devices

Stable Diffusion finds application in various real-world scenarios on mobile devices:

  • Image editing: Enables diverse image edits like object removal, addition, and style changes.
  • Photo filtering: Creates innovative and unique photo filters.
  • Augmented reality: Provides a foundation for realistic AR experiences.


Deploying large-scale diffusion models on mobile devices demands overcoming computational and memory challenges. Utilizing TensorFlow Lite, employing a stable GELU approximation, and implementing a pipelined execution strategy ensures efficient deployment of Stable Diffusion. These solutions facilitate high-quality image synthesis on mobile GPUs, making diffusion models accessible across a broad spectrum of mobile devices.Different mobile architectures come with unique characteristics, this involves optimizing for both iOS and Android, taking advantage of platform-specific features for enhanced performance.

Future Directions

Future research avenues can enhance the performance and efficiency of Stable Diffusion on mobile devices:

  1. Model pruning and quantization techniques: Tailored for diffusion models.
  2. Advanced pipelined execution strategies: Further reducing memory usage and improving inference time.

Research can also explore new applications for Stable Diffusion on mobile devices, ranging from image editing tools and creative photo filters to educational apps and innovative games. As Stable Diffusion evolves, we anticipate an influx of groundbreaking applications leveraging this powerful technology on mobile devices. While Stable Diffusion excels in image synthesis, its potential extends far beyond.

Exploring applications in fields like healthcare, where Stable Diffusion can be used for medical image enhancement, or in automotive industries for enhancing vision systems in mobile applications, can lead to various on devices usage, that will further help in making mobile devices truly a personal assistant.



Huawei made quite a splash in Barcelona with a major event, unveiling their latest lineup of smart wearables. Among the highlights were the Watch GT4 series, Freebuds Pro 3 wireless earbuds, Eyewear 2, and a fresh addition to their tablet family, the MatePad 11.5” PaperMatte edition, designed with a special focus on eye care.

Huawei MatePad 11.5-inch PaperMatte Edition

The star of the show was undoubtedly the new MatePad 11.5, featuring the innovative PaperMatte screen. This unique nano-etched screen coating, delivers a paper-like tactile experience, reduced glare, decreased eye strain, a more natural feel when using the second-generation M-Pencil stylus.

Under the hood, it retains its previous specs – an 11.5-inch TFT LCD with a crisp 1440 x 2200px resolution and a buttery-smooth 120Hz refresh rate. Powered by a custom 4G Snapdragon 7 Gen 1 chipset, it boasts 8GB of RAM and a capacious 256GB storage. Camera-wise, it sports a 13MP rear camera and an 8MP front-facing shooter. The tablet packs a substantial 7,700 mAh battery supporting 22.5W fast charging through USB-C. HarmonyOS 3.1 ensures seamless software performance.

The MatePad 11.5 PaperMatte edition, arrives in Space Gray and hits the market on September 19, with a price tag of €500/£400.

Huawei Freebuds Pro 3

For those seeking an audio upgrade, Huawei presents the Freebuds Pro 3, a direct successor to last year’s Freebuds Pro 2. These earbuds boast a dual driver system promising clearer treble and robust bass. They also introduce a Triple Adaptive EQ for pristine sound quality and support for the LDAC and L2HC 2.0 Hi-Res audio codecs.

Not stopping there, Huawei brings an upgraded Intelligent Dynamic ANC 3.0 system, enhancing noise cancellation, and a new Pure Voice 2.0 microphone system that ensures your voice is heard clearly even in challenging conditions. These buds offer a combined battery life of 31 hours and support dual device pairing.

Priced at €200/£180, the Freebuds Pro 3 will be available across European markets starting from October 11.

Huawei Eyewear 2

In the world of wearable tech, Huawei introduces the Eyewear 2 smart glasses. They let you enjoy music through built-in speakers for up to 11 hours and feature interchangeable Zeiss prescription lenses. With a featherweight titanium frame at just 4.7 grams, they offer touch controls on the sides for easy operation.

These stylish smart glasses come at a price of €300 and will be on the market from October 18.

Samsung A25 5g mockup

Samsung enthusiasts, get ready for the much-anticipated successor to the Galaxy A24 – the Samsung Galaxy A25 5G. In the world of smartphones, leaks and speculations often provide exciting glimpses of what’s to come, and this case is no different. We’ve seen snippets of the design, had a sneak peek at the camera hardware, and now, we have even more intriguing details to share.

The Galaxy A25 5G Revealed

The Galaxy A25 5G has made its appearance on Geekbench with the model number SM-A256B, signaling its international variant. The standout feature here is the processor – it’s powered by the Exynos 1280 SoC. This chipset boasts four ARM Cortex-A78 CPU cores, four ARM Cortex-A55 CPU cores, and an ARM Mali-G68 GPU, promising robust performance.

But that’s not all. The benchmarked variant of the Galaxy A25 5G flaunts 8GB of RAM, ensuring smooth multitasking, and it runs on the latest Android 14 with One UI 6.0. The benchmark results are equally impressive, with a single-core score of 973 points and a multi-core score of 2,106 points, highlighting its computational prowess.

A Glimpse at the Hardware

As for the hardware, earlier leaks have given us a good idea of what to expect. The Galaxy A25 5G is expected to feature a 6.44-inch display, providing a spacious canvas for your content. Powering it all is a hefty 5,000mAh battery with 25W fast charging support, ensuring your device stays powered up throughout the day.

Camera enthusiasts will appreciate the 50MP primary camera, which promises to capture stunning photos. Accompanying it are a 5MP ultrawide unit and a 2MP macro sensor, offering versatility in your photography. Whether it’s sweeping landscapes or detailed close-ups, this smartphone seems poised to deliver.

What About the Release Date?

With these recent leaks, it’s becoming increasingly likely that Samsung’s development of the Galaxy A25 5G is nearing completion. Previous rumors have hinted at a potential launch by the end of this year, which now seems plausible. However, as with all things tech-related, the release date could still change.

For those who followed the Galaxy A24 4G release in May 2023, the wait for the Galaxy A25 5G might feel long. Nevertheless, the anticipation builds as we look forward to uncovering more details and specs about this exciting smartphone.

What Lies Beyond?

While we have insight into the primary and selfie cameras, the complete camera configuration of the Galaxy A25 remains a mystery. If it follows in the footsteps of its predecessor, we can expect a combination of the 50MP primary camera, a 5MP ultra-wide shooter, and a 2MP macro sensor. The result? A versatile camera setup that caters to various photography needs.

As the Galaxy A25 continues its journey from development to release, keep an eye out for further updates. While the European model (SM-A256B) and others have yet to surface, there’s ample time for more details to emerge. Stay tuned for the official reveal of the Samsung Galaxy A25 5G, which promises to be a noteworthy addition to the Galaxy A series.