High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753
Published:Oct 28, 2025 20:26
•1 min read
•Practical AI
Analysis
This article discusses the advancements in on-device generative AI, specifically focusing on high-efficiency diffusion models. It highlights the work of Hung Bui and his team at Qualcomm, who developed SwiftBrush and SwiftEdit. These models enable high-quality text-to-image generation and editing in a single inference step, overcoming the computational expense of traditional diffusion models. The article emphasizes the innovative distillation framework used, where a multi-step teacher model guides the training of a single-step student model, and the use of a 'coach' network for alignment. The discussion also touches upon the implications for personalized on-device agents and the challenges of running reasoning models.
Key Takeaways
- •SwiftBrush and SwiftEdit enable single-step image generation and editing.
- •A novel distillation framework is used to train efficient models.
- •The use of a 'coach' network improves model alignment.
Reference
“Hung Bui details his team's work on SwiftBrush and SwiftEdit, which enable high-quality text-to-image generation and editing in a single inference step.”