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October 28-29, 2024 | Tokyo, Japan
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Monday October 28, 2024 11:15 - 11:55 JST
The talk “Democratizing Diffusion Models with Diffusers” will explore the diverse applications of the open-source Python library Diffusers in the image and video generation space. The talk will showcase how Diffusers, based on diffusion models, enables fast and high-quality image and video generation, making it accessible to a wide range of users. The presentation will cover various use cases, including image inpainting, image editing, and scene composition, demonstrating the capabilities of Diffusers in enabling users to create and edit photo-realistic images with minimum effort. The audience will gain insights into the potential of Diffusers in revolutionizing the way images and videos are generated and edited, making it a must-attend session for anyone interested in the latest advancements in this field.
Speakers
avatar for Sayak Paul

Sayak Paul

Research Engineer, Hugging Face
Sayak works on diffuson models at Hugging Face, focusing on training them, maintaining the diffusers library, and leading some applied research efforts. Off the work, he likes to binge-watch ICML tutorials and Suits.
Monday October 28, 2024 11:15 - 11:55 JST
Hall B (4)

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