Sayak Paul

Hi there 👋 I am Sayak Paul (সায়ক পাল). I work on 🧨 diffusion models at Hugging Face. Know more about me from here. I maintain a Google Doc answering some FAQs at length. You can check it out here.

My external articles and other publishing engagements are listed here. Decks from my speaking engagements are listed here. A detailed account of the things that are not directly available from the top navbar (interviews, talks etc.) can be found here.

The structure of this website is inspired by Omar’s site.

News

• Shipped quantization in Diffusers. Follow this thread to know more.
• Simple re-implementation of inference-time scaling diffusion models beyond denoising steps (from Google DeepMind): tt-scale-flux.
• New work on few-step sampling of diffusion models SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation with NVIDIA.
• Will be at ICLR 2025 for two papers: FastRM and MaPO.
• New work: From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning with Le Zhuo, Liangbing Zhao, and others.

To know more about my projects, please refer to my GitHub profile.

Apart from the blogs here, I try to contribute to other platforms in the form of writing. Please refer here for more details.