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Generating Photorealistic Images using AI with Diffusers in Python

Tuesday May 16, 11AM ET

Key Takeaways

  • Learn how diffusion models work and how you can use them    
  • Learn how to use state-of-the-art pre-trained diffusion model for image generation
  • Learn to generate photorealistic images with Diffusers and how to control them

Your Presenter(s)

Sayak Paul headshot

Sayak Paul

Developer Advocate Engineer at Hugging Face

Sayak works at Hugging Face where he codes, writes, and speaks. His time is mostly spent around everything related to the Diffusers library. He's also a DataCamp project instructor and the author of many DataCamp tutorials. Off work, you will catch him binge-watching Suits on Netflix for the nth time. 

Why this matters

Generative AI is taking the world by storm, and image generation AIs like Stable Diffusion and DALL-E 2 are disrupting every creative industry. 

In this live training, you'll learn about state-of-the-art diffusion models and how to generate photorealistic images using Python, the PyTorch deep learning package and the Hugging Face Diffusers package.

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