Generating Photorealistic Images using AI with Diffusers in Python
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
Tuesday May 16, 11AM ET
Description
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.
Presenter Bio
Sayak PaulDeveloper 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.
