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Generating Photorealistic Images using AI with Diffusers in Python

In this live training, you'll learn about state-of-the-art diffusion models and how to generate photorealistic images using Python.
Sayak Paul
Sayak Paul

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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.

What will I learn?

  • 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

Additional Resources

Link to slides

Google Colab File

Subiecte

Conexe

Tutorial

How to Use the Stable Diffusion 3 API

Tutorial

How to Run Stable Diffusion: A Step-by-Step Guide