Qualcomm Demonstrates Stable Diffusion AI Model Running on a Smartphone
Qualcomm AI research team is currently showcasing Stable Diffusion 2.1 Running on a Smartphone without the 'cloud' at the Mobile World Congress. Stable diffusion is an open-source large language AI model trained on 2.3 billion English language-labeled images, running locally on a premium smartphone powered by the company's latest Snapdragon 8 chipset at Mobile World Congress (MWC).
Stable Diffusion Language Model Optimized for On-device Processing
The latest Stable Diffusion language model is optimized using int8, which allows the entire model to be stored on a smartphone. The model can generate a high-quality, 512-by-512 pixel image in under 15 seconds. Qualcomm's implementation of Stable Diffusion shows 20 inference steps going from random pixels to the final finished image. Furthermore this ability to render text-to-image on a handheld phone quickly is a major breakthrough for stack developers in the AI fields.
- Android
- Windows
- Most Unix based Systems
- Ubuntu
- CentOS
Stable Diffusion Running on a Smartphone Opens Up Possibilities for Other AI Applications
Another key point is the ability to run Stable Diffusion locally on a smartphone with Snapdragon 8 Gen 2 chipset. In reality this move is opening up a range of possibilities for other AI-powered applications to follow, including image editing, gaming, social media, and education.
Importance of On-device Processing for AI Applications
Qualcomm's move towards processing AI workloads on-device rather than in the cloud is undeniably driven by performance, privacy, security, and cost considerations. This is especially important for applications that require real-time processing. Examples of this use are autonomous vehicles, robotics, and other IoT devices.
Significance of Stable Diffusion Running on a Smartphone
Qualcomm's demonstration of Stable Diffusion running on a smartphone is significant as it showcases the potential for AI models to run on-device without the need for a cloud connection. This development is enabling faster and more secure processing of AI workloads.
Making Sensitive Information More Secure
Qualcomm's move towards on-device processing is also important for your privacy. This reduces the need for data to be transmitted to the cloud for processing. Keep your sensitive information more secure, by keeping it on your phone. On-device processing also reduces the high costs of cloud computing, making AI more accessible to smaller organizations and individual users.
A Significant Step Towards On-device AI Processing
As a matter of fact Qualcomm's demonstration of Stable Diffusion running on a smartphone powered by the latest Snapdragon 8 chipset is a significant step towards widespread on-device AI processing. This offers several benefits, including faster processing times, improved privacy.
Evidently Qualcomm is showcasing this new potential for processing AI workloads on-device in a scalable way. The ability to run AI models on a personal device opens up new possibilities for AI-powered consumer applications. We look forward to seeing how their stack development progresses. We will keep you updated.
*Qualcomm Snapdragon 8 Gen 2 is an 8-core chipset that was announced by Qualcomm on November 15th, 2022. This multi-core processor is manufactured using state-of-the-art four nanometer technology. The chip has 1 core Cortex-X3 at 3200 MHz, 2 cores Cortex-A715 at 2800 MHz, 2 cores Cortex-A710 at 2800 MHz, as well as 3 cores Cortex-A510 running at 2000 MHz.