Sayak Paul

This session shows how to use torch.compile with the Diffusers library to speed up diffusion models like Flux-1-Dev. You'll learn practical techniques for both model authors and users. For authors, we cover how to make models compiler-friendly using fullgraph=True. For users, we explain regional...

In this talk, we will cover how to write effective test cases for machine learning (ML) libraries that are used by hundreds of thousands of users on a regular basis. Tests, despite their well-established need for trust and foolproofing, often get less prioritized.

The talk "State-of-the-art image generation for the masses with Diffusers" will explore the diverse applications of the open-source Python library Diffusers in the image and video generation space.

In this session, we’ll share a few recipes to improve Beam-Dataflow pipelines when dealing with sequence data. These methods came from our experience of processing and preparing large datasets for ML use at Carted. We’ll provide a step-by-step framework of how to analyze the issues that can...