Generative AI

Democratizing Diffusion Models with Diffusers

clock 3:30 pm - 4:30 pm

The advancements in the domain of generative AI have led to the emergence of image-based diffusion models, opening new avenues for creativity and innovation. In this enlightening session, we delve into this promising field and introduce “Diffusers” – an open-source Python framework developed by Hugging Face.

Diffusers democratizes access to pre-trained, state-of-the-art diffusion models such as Stable Diffusion, Stable unCLIP, and IF. It brings the power of these intricate models within the reach of developers and researchers across the globe, fostering an environment of open, responsible AI.

We will explore the functionalities of these models and how to leverage Diffusers for various creative use cases. By shedding light on these powerful tools, we aim to empower participants to harness the rapidly evolving field of generative AI. Whether you are a seasoned AI practitioner or a novice, this session promises to provide a practical understanding of diffusion models and how to utilize them effectively.

Key Takeaways:

  • Understanding of image-based diffusion models and their potential applications.
  • Familiarity with Diffusers, the open-source Python framework by Hugging Face.
  • Insight into leveraging state-of-the-art diffusion models like Stable Diffusion, Stable unCLIP, and IF.
  • Practical knowledge on how to utilize Diffusers in creative use cases in generative AI.
Download Full Agenda